Get a list of Project objects. Projects have a 1:1 mapping with Observations.

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    "count": 1627,
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    "previous": "https://api.catalogue.ceda.ac.uk/api/v3/projects/?format=api&limit=100",
    "results": [
        {
            "ob_id": 5441,
            "uuid": "e22b91c35015d34116078ccc25b5026e",
            "short_code": "proj",
            "title": "Coupled Ocean Atmosphere and European Climate (COAPEC) NERC Research Programme",
            "abstract": "COAPEC is a NERC thematic programme designed to examine the variability of the Earth's climate. The goal of COAPEC is to determine the impact on climate, especially European climate, of the coupling between the Atlantic Ocean and the atmosphere. The BADC is the primary distribution data centre for COAPEC. Data sets available under COAPEC include 100 year (2079 - 2178) full fields and 1000 year (1849-2849) limited fields of the Hadley Centre HadCM3 model.",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [],
            "observationCollection": [
                {
                    "ob_id": 5438,
                    "uuid": "fce964f2c07f107e3db5fb0a5c09c9b8",
                    "short_code": "coll",
                    "title": "Coupled Ocean Atmosphere and European Climate (COAPEC): Monthly Means of Atmospheric and Oceanic Model Data",
                    "abstract": "The COAPEC (Coupled Ocean-Atmosphere Processes and European Climate) programme was a 5 year NERC thematic programme designed to examine the variability of the Earth's climate. Interactions between the oceans and the atmosphere play a major role in governing this variability. The goal of COAPEC was to determine the impact on climate, especially European climate, of the coupling between the Atlantic Ocean and the atmosphere, including the influence of ENSO on this coupling.\r\n\r\nTo aid researchers within the COAPEC programme, datasets have been retrieved from a variety of coupled models.\r\n\r\n* 100 years (2079 - 2178) monthly means of all atmospheric and oceanic fields derived from the control run of the Hadley Centre HadCM3 model.\r\n* 1000 years (1849-2849) of monthly means of selected parameters from the HadCM3 control run.\r\n* 50 years (1950-2000) of MOM (GFDL Modular Ocean Model) data.\r\n* Output from the 100 year HadCM3 control integration produced using UM4.5 on the BADC Beowulf Cluster.\r\n* Surface flux climatology data from SOC\r\n\r\nIf using the 100 year dataset from the Hadley Centre, please be aware that the run was restarted part of the way through. This means that there is a difference in the indicated date of origin in the data files, and can cause a discontinuity if not corrected for during analysis.\r\n\r\nThe 1000 year HadCM3 dataset has been extracted from the Met Office and these data have been added to the archive. \r\n\r\nThe data from a 500 year HadCM3 control integration performed on a linux Beowulf cluster using UM version 4.5 at the BADC has been included in the archive. Please see the README.txt for more information."
                }
            ],
            "identifier_set": [
                3545,
                3546
            ],
            "responsiblepartyinfo_set": [
                23821,
                148147,
                148148,
                148146
            ],
            "onlineresource_set": []
        },
        {
            "ob_id": 5465,
            "uuid": "a545ae51081160501bd467fcf64ac54b",
            "short_code": "proj",
            "title": "Airborne Arctic Stratospheric Expedition (AASE)",
            "abstract": "A NASA aircraft expedition based in Stavanger, Norway during January and February 1989. The data consist of various chemical composition and meteorological measurements collected on board the NASA ER-2 and DC-8 aircraft, ozonesonde soundings from 3 stations (Angmagssalik and Scoresbysund, Greenland and Lerwick, UK), aerosol and temperature profiles from the SAM II satellite, global gridded NIMBUS 7 TOMS ozone column and selected radiosonde soundings from stations in the region of the experiment. This dataset is public.",
            "publicationState": "published",
            "keywords": "AASE, AASE-98, chemistry",
            "status": "completed",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [
                81
            ],
            "observationCollection": [
                {
                    "ob_id": 5462,
                    "uuid": "19a2a820690fbc271fef38957dc3ca83",
                    "short_code": "coll",
                    "title": "Airborne Arctic Stratospheric Expedition (AASE) 89: Chemical and Dynamical Atmospheric Measurements",
                    "abstract": "The Airborne Arctic Stratospheric Expedition (AASE) which was based in Stavanger, Norway during January and February, 1989, was designed to study the production and loss mechanisms of ozone in the north polar stratospheric environment, and the effect on ozone distribution of the Arctic polar vortex and of the cold temperatures associated with the formation of Polar Stratospheric Clouds (PSC). \r\n\r\nThe dataset collection consists of measurements of chemical and dynamical parameters collected onboard the NASA ER-2 and DC-8 aircraft (for example, ClO, BrO, HCl, O3, NOx, N2, HNO3 and CH4, whole air samples and aerosol measurements). In addition, there are ozonesonde soundings from three stations (Angmagssalik and Scoresbysund, Greenland, and Lerwick, U.K.), aerosol and temperature profiles from NASA's SAM II satellite, and selected radiosonde soundings from stations in the region of the experiment.\r\n\r\nTheory teams provided calculations of: potential vorticity along the ER-2 flight path; cross-sections of potential vorticity, temperature, and geopotential heights along the DC-8 flight path; cross-sections of Clx, Fx, HCl, HNO3, and NOy along the DC-8 flight path; global grid point values of temperature, geopotential heights, and horizontal winds on selected pressure surfaces; northern hemispheric grid point values of potential vorticity and pressure on selected potential temperature surfaces."
                }
            ],
            "identifier_set": [
                3570,
                3571
            ],
            "responsiblepartyinfo_set": [
                23912,
                72556,
                72557
            ],
            "onlineresource_set": []
        },
        {
            "ob_id": 5490,
            "uuid": "36442bfa4d8fe8e35245b825201bc37f",
            "short_code": "proj",
            "title": "ECMWF ERA-15 Re-Analysis project",
            "abstract": "The European Centre for Medium-Range Weather Forecasts (ECMWF) has provided global atmospheric analyses from its archive for many years. The ERA-15 Re-analysis project was devised in response to wishes expressed by many users for a data set generated by a modern, consistent, and invariant data assimilation system.",
            "publicationState": "published",
            "keywords": "",
            "status": "completed",
            "parentProject": {
                "ob_id": 3459,
                "uuid": "b5e6222479bf4cd02faee54bff4d45b4",
                "short_code": "proj",
                "title": "European Centre for Medium-range Weather Forecasts (ECMWF)",
                "abstract": "The European Centre for Medium-range Weather Forecasts (ECMWF) is an intergovernmental organisation supported by 28 European states. ECMWF is based in Reading, west of London, in the United Kingdom."
            },
            "subProject": [],
            "imageDetails": [],
            "observationCollection": [
                {
                    "ob_id": 5487,
                    "uuid": "73ec447ea99457c77c0ef9692f76393f",
                    "short_code": "coll",
                    "title": "European Centre for Medium-Range Weather Forecasts (ECMWF) 15-year re-analysis (ERA-15) model data",
                    "abstract": "The European Centre for Medium-Range Weather Forecasts (ECMWF) has provided global atmospheric analyses from its archive for many years. The ERA-15 Re-analysis project was devised in response to wishes expressed by many users for a data set generated by a modern, consistent, and invariant data assimilation system. The ERA-15 project produced a long time-series (January 1979 - February 1994) of consistent meteorological analyses using a single version of the ECMWF model. Dataset contains both initialised and uninitialised T106 spectral upper air data (approximately 1 degree resolution) on model levels and standard pressure levels. Corresponding surface parameters are held on a reduced gaussian N80 grid. Regular 2.5 degree x 2.5 degree gridded data is also stored on standard pressure levels and at the surface."
                }
            ],
            "identifier_set": [
                3585,
                3586
            ],
            "responsiblepartyinfo_set": [
                23975,
                113838,
                113839,
                113840
            ],
            "onlineresource_set": [
                5132
            ]
        },
        {
            "ob_id": 5495,
            "uuid": "0187cf35e2f6eaf6638cf7c83716cf9b",
            "short_code": "proj",
            "title": "The Universities' Facility for Atmospheric Measurement (UFAM) Intercomparison Experiment",
            "abstract": "The Universities' Facility for Atmospheric Measurement (UFAM) Intercomparison Experiment brought together a suite of UFAM wind profiling instruments for an intercomparison campaign in September 2002. The field campaign took place at the Met Office Meteorological Research Unit (MRU), Cardington. The aim of the campaign was to inter-compare measurements of wind speed and direction and turbulence parameters made with several of the UFAM instruments and the Met Office in-situ balloon borne tethersondes. The MRU staff operating the tethered balloon facility. The following UFAM instruments participated in this campaign: UFAM Doppler lidar, operated by the University of Salford; the UFAM wind profiler, operated by the University of Aberystwyth; and one of the UFAM sodars, operated by the University of Leeds.",
            "publicationState": "published",
            "keywords": "UFAM, FGAM",
            "status": "",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [],
            "observationCollection": [
                {
                    "ob_id": 5492,
                    "uuid": "040cb3e884180c635c82b464547ff08e",
                    "short_code": "coll",
                    "title": "The Universities' Facility for Atmospheric Measurement (UFAM) Intercomparison Experiment wind profile data",
                    "abstract": "The Universities' Facility for Atmospheric Measurement (UFAM) intercomparison field campaign took place in September 2002 at the Met Office Meteorological Research Unit (MRU), Cardington. The dataset contains measurements of wind speed and direction and turbulence parameters made with several of the UFAM instruments and the Met Office in-situ balloon borne tethersondes. These data are publicly available."
                }
            ],
            "identifier_set": [
                3592,
                3593
            ],
            "responsiblepartyinfo_set": [
                23995
            ],
            "onlineresource_set": []
        },
        {
            "ob_id": 5500,
            "uuid": "0c778590394ea5d9d5c175a7e4be772d",
            "short_code": "proj",
            "title": "COSPAR International Reference Atmosphere (CIRA)",
            "abstract": "The objectives of the Committee on Space Research (COSPAR) are to promote on an international level scientific research in space, with emphasis on the exchange of results, information and opinions, and to provide a forum, open to all scientists, for the discussion of problems that may affect scientific space research. These objectives are achieved through the organization of Scientific Assemblies, publications and other means. The COSPAR International Reference Atmosphere (CIRA) provides empirical models of atmospheric temperatures and densities as recommended by the Committee on Space Research (COSPAR). Since the early sixties, several different editions of CIRA have been published. The CIRA Working Group meets biannually during the COSPAR general assemblies.",
            "publicationState": "published",
            "keywords": "COSPAR, CIRA, reference atmosphere",
            "status": "completed",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [],
            "observationCollection": [
                {
                    "ob_id": 5497,
                    "uuid": "4996e5b2f53ce0b1f2072adadaeda262",
                    "short_code": "coll",
                    "title": "COSPAR International Reference Atmosphere (CIRA-86): Global Climatology of Atmospheric Parameters",
                    "abstract": "The COSPAR International Reference Atmosphere (CIRA) provides empirical models of atmospheric temperatures and densities as recommended by the Committee on Space Research (COSPAR). A global climatology of atmospheric temperature, zonal velocity and geopotential height derived from a combination of satellite, radiosonde and ground-based measurements. The reference atmosphere extends from pole to pole and 0-120 km. The majority of the data are on a 5 degree latitude grid and approximately 2 km vertical resolution. This dataset is public.\r\n\r\nSince the early sixties, several different editions of CIRA have been published. The CIRA Working Group meets biannually during the COSPAR general assemblies. In the thermosphere (above about 100 km) CIRA-86 is identical with the MSIS model, which is available from NSSDC (MI-91E).\r\n\r\nThe lower part (0-120 km) of CIRA-86 consists of tables of the monthly mean values of temperature and zonal wind with almost global coverage (80°N - 80°S). Two files were compiled by Fleming et al. (1988), one in pressure coordinates including also the geopotential heights, and one in height coordinates including also the pressure values. These tables were generated from several global data compilations including ground-based and satellite (Nimbus 5,6,7) measurements (see Oort (1983) and Labitzke et al. (1985)). The lower part was merged with MSIS-86 at 120 km altitude. In general, hydrostatic and thermal wind balance are maintained at all levels. The model accurately reproduces most of the characteristic features of the atmosphere such as the equatorial wind and the general structure of the tropopause, stratopause, and mesopause."
                }
            ],
            "identifier_set": [
                3597,
                3598
            ],
            "responsiblepartyinfo_set": [
                24012,
                50993,
                50994,
                54773
            ],
            "onlineresource_set": []
        },
        {
            "ob_id": 5528,
            "uuid": "9ac00ff85e0606f1dcaf4278fc9d226a",
            "short_code": "proj",
            "title": "IPCC Second Assessment Report",
            "abstract": null,
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [],
            "observationCollection": [
                {
                    "ob_id": 5525,
                    "uuid": "a0913dba885f1b1c0e3eb6dc0c04c188",
                    "short_code": "coll",
                    "title": "Intergovernmental Panel on Climate Change Data Distribution Centre (IPCC DDC) holdings",
                    "abstract": "The Intergovernmental Panel on Climate Change (IPCC) Data Distribution Centre provides four main types of data and guidance:\r\n1. Observed Climate Data Sets;\r\n2. Global Climate Model Data;\r\n3. Socio-economic data and scenarios;\r\n4. Data and scenarios for other environmental changes."
                }
            ],
            "identifier_set": [
                3618,
                3619
            ],
            "responsiblepartyinfo_set": [
                24074
            ],
            "onlineresource_set": []
        },
        {
            "ob_id": 5532,
            "uuid": "7fb269b2da3b09d6aadceeab8233ff85",
            "short_code": "proj",
            "title": "IPCC Third Assessment Report",
            "abstract": null,
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [],
            "observationCollection": [
                {
                    "ob_id": 5525,
                    "uuid": "a0913dba885f1b1c0e3eb6dc0c04c188",
                    "short_code": "coll",
                    "title": "Intergovernmental Panel on Climate Change Data Distribution Centre (IPCC DDC) holdings",
                    "abstract": "The Intergovernmental Panel on Climate Change (IPCC) Data Distribution Centre provides four main types of data and guidance:\r\n1. Observed Climate Data Sets;\r\n2. Global Climate Model Data;\r\n3. Socio-economic data and scenarios;\r\n4. Data and scenarios for other environmental changes."
                }
            ],
            "identifier_set": [
                3623,
                3624
            ],
            "responsiblepartyinfo_set": [
                24085
            ],
            "onlineresource_set": []
        },
        {
            "ob_id": 5564,
            "uuid": "85918472efd6cf1dee4193346cbed300",
            "short_code": "proj",
            "title": "CLOUDMAP2",
            "abstract": "CLOUDMAP2 is funded by the European Commission under the 5th Framework programme for Energy, Environment and Sustainable Development. CLOUDMAP2 project number is EVK2-2000-00547\r\n\r\nCLOUDMAP2 aims to produce and exploit value-added satellite remote sensing data products on macroscopic (e.g. cloud-top height) and microscopic (e.g. cloud droplet radius) properties and water vapour distributions to characterise sub-grid scale processes within Numerical Weather Prediction Models (NWP) through validation and data assimilation. The results will have a large potential application to Global Climate Models. Current and near-future Earth Observation (EO) data, provided by ESA, EUMETSAT and NASA will be employed to derive geophysical value-added data products for over a decade from the ATSR(2) sensor over Europe and the North Atlantic region as well as through the use of near real-time EO data for this region. Ground-based active and passive thermal Infrared remote-sensing instruments will be used to help validate EO derived products as well as be merged to create new fused value-added products. Numerical simulation experiments based on state-of-the-art radiative transfer methods will be used to quantify the effect of broken clouds on the Earth ' s radiation budget and lead to a better representation of clouds within GCMs.",
            "publicationState": "published",
            "keywords": "cloudmap2, cloud",
            "status": "completed",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [
                82
            ],
            "observationCollection": [
                {
                    "ob_id": 5561,
                    "uuid": "70ac88bc486108ce47468f43382af020",
                    "short_code": "coll",
                    "title": "CLOUDMAP2 project cloud products over Europe from the Along Track Scanning Radiometer 2 (ATSR-2)",
                    "abstract": "The CLOUDMAP 2 project cloud products include cloud top pressure, height, phase, fraction, effective radius and optical depth derived using a variational analysis method applied to data from the Along Track Scanning Radiometer-2 (ATSR-2) over Europe. These data are the result of a contract to Eumetsat for application to the Spinning Enhanced Visible Infra-Red Imager (SEVIRI) and partly under the European Framework 5 CLOUMAP2 project."
                }
            ],
            "identifier_set": [
                3658,
                3657
            ],
            "responsiblepartyinfo_set": [
                24200,
                51834,
                51835,
                51836,
                54784
            ],
            "onlineresource_set": [
                8034
            ]
        },
        {
            "ob_id": 5573,
            "uuid": "3849c3f25327a9cfdaf98a921d5add10",
            "short_code": "proj",
            "title": "African Monsoon Multidisciplinary Analysis (AMMA)",
            "abstract": "AMMA-UK is part of the African Monsoon Multidisciplinary Analysis (AMMA): an international long-term collaboration to study the climatic and environmental feedback mechanisms involved in the African monsoon, and some of its consequences on society and human health. It is AMMA's aim to provide African decision makers with improved assessments of rainfall changes which are likely to occur during the 21st century due to natural fluctuations and as a result of anticipated global climate change. An essential step in that direction is to improve the ability to forecast the weather and climate in the West African region. AMMA-UK observations were centred around the Niamey meso-site.",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [],
            "observationCollection": [
                {
                    "ob_id": 5570,
                    "uuid": "496afa5cd3b0c85478d85f52e6490b54",
                    "short_code": "coll",
                    "title": "African Monsoon Multidisciplinary Analysis (AMMA) Program: Sub-Saharan West Africa Ground-based Observation Station Records of Heat Flux, Carbon Dioxide and Water Vapour Fluxes and Concomitant Meteorological Measurements",
                    "abstract": "An international long-term collaboration to study the climatic and environmental feedback mechanisms involved in the African monsoon, and in some of its consequences on society and human health. The programme, which started in 2004, has developed a network of ground-based observation stations over Sub-Saharan West Africa to measure heat flux and, for some stations, CO2 and H2O vapour fluxes. Files also include concomitant meteorological measurements (wind, temperature, pressure, humidity, rainfall) and soil physics parameters (soil temperature and moisture). The UK branch of AMMA makes use of several instruments provided by the UK Universities Facility for Atmospheric Measurement (UFAM) which are centred on the Niamey meso-site. The Facility for Airbourne Atmospheric Measurements (FAAM) aircraft was used during the July-August 2006 campaign."
                }
            ],
            "identifier_set": [
                9035,
                3665,
                3666
            ],
            "responsiblepartyinfo_set": [
                24221
            ],
            "onlineresource_set": []
        },
        {
            "ob_id": 5682,
            "uuid": "d0b3bd573a11ca2feb7c7316a3979a40",
            "short_code": "proj",
            "title": "The Polar Pathfinder Sampler (PPSM): Combined AVHRR, SMMR-SSM/I and TOVS Time Series",
            "abstract": "The AVHRR, SMMR-SSM/I and TOVS Polar Pathfinder research teams collaborated to make it as easy as possible to use Polar Pathfinder data sets together by employing a common projection, namely the NSIDC Equal-Area Scalable Earth-Grid (EASE-Grid), and validation methods to develop consistently processed data sets that are easy to combine, compare and contrast. This CD-ROM includes sample data, time-series visualizations, and browse products, for temporal and spatial subsets of the AVHRR, SMMR-SSM/I and TOVS data sets, to illustrate the types of products available for the various data sets.",
            "publicationState": "published",
            "keywords": "PPSM",
            "status": "completed",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [
                84
            ],
            "observationCollection": [
                {
                    "ob_id": 5679,
                    "uuid": "a6ca5bc1b36d1b1a83cba4e4ac4b0bac",
                    "short_code": "coll",
                    "title": "Polar Pathfinder Sampler (PPSM): Combined Time Series of Atmospheric and Surface Measurements from the AVHRR, SMMR-SSM/I and TOVS Satellites",
                    "abstract": "To address the needs of the cryospheric science community, the SMMR-SSM/I, AVHRR and TOVS research teams collaborated to make it as easy as possible for the Polar Pathfinders and related data sets to be used together. The teams employed a common projection, the NSIDC Equal-Area Scalable Earth-Grid (EASE-Grid), file naming conventions and validation methods to develop consistently processed data sets that are easy to combine and contrast.\r\n\r\nThe Polar Pathfinder Sampler CD-ROM is an innovative assemblage of atmospheric and surface measurements from all three Pathfinders. Included is a two-year period of daily merged Pathfinder data sets at 100 km-resolution, placed in a multidimensional structure known as the \"P-Cube.\" In addition, samples of full-resolution Special Sensor Microwave Imager(SSM/I), TIROS Operational Vertical Sounder (TOVS) and  Advanced Very High Resolution Radiometer (AVHRR) (both the 1.25 km and 5 km products) Polar Pathfinder data sets are included, also in Equal-Area Scalable Earth-Grid (EASE-Grid), making it easy to compare parameters at multiple resolutions. The new product provides data for a wide range of polar climate research applications, but is especially keyed to the needs of investigators dealing with large-scale atmospheric changes, surface heat and mass balance studies, and sea ice modelling. This dataset is public"
                }
            ],
            "identifier_set": [
                3734,
                3735
            ],
            "responsiblepartyinfo_set": [
                51857,
                24535,
                50871,
                50870,
                54899
            ],
            "onlineresource_set": [
                8046,
                8047
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        },
        {
            "ob_id": 5702,
            "uuid": "8c4155eb814ff7e5352c7de282c4a53d",
            "short_code": "proj",
            "title": "RONOCO: ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere Consortium Project",
            "abstract": "The NERC funded RONOCO consortium project (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere) involved researchers from University of Cambridge, University of East Anglia, Univeristy of York, University of Leicester, and the University of Leeds and the University of Manchester. The project was led by Professor Rod Jones of the University of Cambridge and ran from 2008 - 2012.\r\n\r\nThe project sought to build on the significant and increasing body of evidence that night time chemistry, driven primarily by the nitrate radical NO3, plays a significant role in governing the composition of the troposphere. Recent findings show that very high concentrations of NO3 are present away from the Earth's surface. In polluted environments, the main sinks are abundant but this is also where its formation may be most rapid and hence the NO3 turnover time is very fast. The importance of this behaviour is not as yet clearly understood, yet it may have a very large impact on atmospheric chemistry and ozone formation, regional transport and transformation of oxidised nitrogen and hence acidification and eutrophication, and may also significantly add to the regional burden of ammonium nitrate particulate, which has increasing climatic importance. To understand and predict these phenomena correctly there is a need to quantify the basic chemical processes controlling NO3 and its removal from the atmosphere; the impact of NO3 chemistry on volatile organic carbon chemistry and as a pathway for radical formation and propagation; its heterogeneous chemistry and its impact on the aerosol burden and composition; its influence on ozone formation on regional and global scales and its mediation of the atmospheric lifecycle of oxidised nitrogen.\r\n\r\nThe RONOCO project sought to address these coupled questions using a combined programme of instrument development, airborne measurement, detailed process modelling, and regional and global modelling. The principal deliverables were : a) Enhancements to the instrumental capability of the FAAM aircraft to include measurements of NO3 and N2O5. b) Comprehensive measurements of night time radicals, their sources and sinks, and aerosol composition in the boundary layer and free troposphere in a range of conditions. c) Quantification of the key processes which control night-time chemical processes. d) Assessment of the impacts of night-time chemistry on regional scales. e) An assessment of the global impacts of night-time chemistry in the current and future atmospheres.\r\n\r\nA project space was made available to the project participants during the project to facilitate data sharing and preparation of products for archiving at the BADC.",
            "publicationState": "published",
            "keywords": "RONOCO, FAAM, Chemistry",
            "status": "completed",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [
                18
            ],
            "observationCollection": [
                {
                    "ob_id": 5699,
                    "uuid": "9d0e5124b77e7549de08c7352e873e86",
                    "short_code": "coll",
                    "title": "RONOCO (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere): In-situ airborne atmospheric chemistry and air quality unified model runs output",
                    "abstract": "Atmospheric chemistry measurements were made during a series of campaign flights by the Facility for Airborne Atmospheric Measurements' (FAAM) BAE-146 research aircraft as part of the NERC funded RONOCO (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere) consortium project. These campaign data are available along with model output from the Met Office's Air Quality Unified Model (AQUM). The scientific objectives of RONOCO were to determine the morphology of tropospheric NO3 in different meteorological conditions and seasons, and in a range of gas phase and aerosol environments, in order to quantify the key processes and pathways of oxidized nitrogen chemistry at night in the troposphere. The ultimate aim was to assess the pervasiveness and importance of night time chemical processes, and in particular NO3, for UK regional and Western European air quality, eutrophication, and ultimately to quantify its linkages to climate change.\r\n\r\nThe dataset contains images from the model output in png format."
                }
            ],
            "identifier_set": [
                3742,
                3743
            ],
            "responsiblepartyinfo_set": [
                24579,
                24580,
                72706,
                72707,
                72708,
                72705,
                24581,
                72709,
                24582,
                24583,
                24584,
                24585,
                24586,
                24587,
                24588,
                24589,
                24590,
                24591,
                24592,
                24593,
                24594
            ],
            "onlineresource_set": [
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                2574,
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        },
        {
            "ob_id": 5736,
            "uuid": "ced06d1e5a8eacb69bf0029bf5f0e17a",
            "short_code": "proj",
            "title": "Met Office NIMROD Database",
            "abstract": "The Met Office run the NIMROD system as a short-term forcasting tool, primarily used for collating observational data such as rain radar data from across Europe",
            "publicationState": "published",
            "keywords": "Met Office, NIMROD, rain radar",
            "status": "ongoing",
            "parentProject": {
                "ob_id": 4,
                "uuid": "fab53ee460e05f1b68e23657f4b6c5f4",
                "short_code": "proj",
                "title": "Met Office",
                "abstract": "The Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement. For further details of these datasets see the links to this record."
            },
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                    "ob_id": 5709,
                    "uuid": "82adec1f896af6169112d09cc1174499",
                    "short_code": "coll",
                    "title": "Met Office Rain Radar Data from the NIMROD System",
                    "abstract": "A collection of products from rain radars operated by the Met Office and other European agencies for the UK and Europe. This collection includes rain composite plots and data for the UK and Europe, plus single site radar data including rain rate data, single and dual-polar data products. \r\n\r\nThese were produced by the Met Office's Nimrod system. Nimrod is a fully automated system for weather analysis and nowcasting based around a network of C-band rainfall radars. This dataset has the fine-resolution analyses of rain rate for the UK and Europe.\r\n\r\nThe UK has a network of C-band rainfall radars and data form these are processed by the Met Office NIMROD system. Four or five radar scans at different elevations at each site are processed to give the best possible estimate of rainfall at the ground. The main quality checking method is routine evaluation using rain gauges as ground truth.\r\n\r\nThe BADC holds the analyses of rainfall rate at a time resolution of 5 or 15 minutes. Data are available from late 2002. Images are available for the UK as well as a further image including neighbouring European countries from 1999. Data files are available on a 1 km and 5 km Cartesian grid. Single radar site data are available for 2 and 5 km Cartesian grids for various UK radar sites.\r\n\r\nThe value of radar-based data from the Nimrod system has been highlighted repeatedly. For example, in two severe flooding events during 1998 (at Easter over the Midlands and in late October over Wales), estimates of surface rainfall derived from radar data provided evidence of the extent and severity of the rainfall events. The 2 km data files reach to 100 km from the radar, the 5km files to 250 km.\r\n\r\nDetailed radar site location are given in the Met Office Weather Radar Factsheet.\r\n\r\nTime resolution is 5 or 15 minutes depending on the product.\r\n\r\nVarious scripts have been made available under the software directory to aid use of these data, including within GIS applications."
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            ],
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                3759
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                49744,
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        {
            "ob_id": 5785,
            "uuid": "07d2ebf9e4fb15ab35211208ddd2205a",
            "short_code": "proj",
            "title": "Facility for Airborne Atmospheric Measurements (FAAM)",
            "abstract": "The FAAM is a large atmospheric research BAE-146 aircraft, run jointly by the NERC and the UK Met Office. It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection.   FAAM is the result of a collaboration between the Met Office(TM) and the Natural Environment Research Council (NERC) and has been established as part of the National Centre for Atmospheric Science (NCAS) to provide an aircraft measurement platform for use by all the UK atmospheric research community on campaigns throughout the world. The modified BAE 146 aircraft is owned by BAE Systems and operated for them by Directflight. The Home Base is at Cranfield University, Bedfordshire.",
            "publicationState": "published",
            "keywords": "",
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                "uuid": "5dec0065e8375e1600ee91f4599f782d",
                "short_code": "proj",
                "title": "National Centre for Atmospheric Science (NCAS) Observations",
                "abstract": "The National Centre for Atmospheric Science (NCAS) Obervations division is responsible for the provision and support of scientific observational facilities for researchers across the UK to enable excellent atmospheric science on a national scale. These include a world-leading research aircraft, ground based observatories at Weybourne, Norfolk, UK, Chilbolton, Aberystwyth and Cape Verde in the tropical Eastern North Atlantic Ocean, and a ground-based instrumentation pool available for use in field campaigns. The Natural Environment Research Council (NERC) is the parent organisation of NCAS. To access the data from NCAS Observations select the appropriate dataset collection."
            },
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                {
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                    "uuid": "8b0478a9add027f5c8927c623c52f00d",
                    "short_code": "proj",
                    "title": "NCAS general FAAM flying (SeptEx, Winter 2010, Oil & Gas)",
                    "abstract": "NCAS general FAAM flying - Including Training, VIP demonstration flights, SeptEx - 2010 (September 2010) and Winter 2010 and Oil and Gas flights 2015\r\n\r\nThese NCAS funded flying hours consist of mainly UK-based flying and contribute towards several scientific goals depending on the available meteorological conditions including chemistry, cloud physics and radiation studies. Many of the NCAS teams familiar with the aircraft are participating.\r\n\r\n "
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                    "ob_id": 5782,
                    "uuid": "affe775e8d8890a4556aec5bc4e0b45c",
                    "short_code": "coll",
                    "title": "Facility for Airborne Atmospheric Measurements (FAAM) flights",
                    "abstract": "The FAAM is a large atmospheric research BAE-146 aircraft, run by the NERC (jointly with the UK Met Office until 2019). It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. \r\n\r\nData collected by this aircraft is stored in the FAAM data archive and includes \"core\" data, provided by the FAAM as a support to all flight campaigns, and \"non-core\" data, the nature of which depends on the scientific goal of the campaign.\r\n\r\nFAAM instruments provide four types of data: \r\n\r\n- parameters required for aircraft navigation; \r\n- meteorology; \r\n- cloud physics; \r\n- chemical composition. \r\n\r\nThe data are accompanied by extensive metadata, including flight logs. The FAAM apparatus includes a number of core instruments permanently onboard and operated by FAAM staff members, and a variety of other instruments, grouped into chemistry kit and cloud physics kit, that can be fitted onto the aircraft on demand. \r\nFAAM is also a member of the EUropean Facility for Airborne Research (EUFAR) fleet of research aircraft.\r\n\r\nAs per NERC data policy (see documents), FAAM data are openly available upon registration with the CEDA archive (anyone can register) under the Open Government Licence. Raw data are retained for longterm preservation but are not intended for general use."
                }
            ],
            "identifier_set": [
                3782,
                3783
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                24823,
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        {
            "ob_id": 5804,
            "uuid": "e303820724f5e221eb3d990a0e92fe6f",
            "short_code": "proj",
            "title": "Airborne Antarctic Ozone Experiment (AAOE-87)",
            "abstract": "Measurements from a NASA aircraft campaign to study chemical composition and physical parameters in the Antarctic during the development of the Antarctic Ozone Hole in August and September 1987. The data include atmospheric composition from a variety of instruments, meteorological parameters, aerosol and cloud data.",
            "publicationState": "published",
            "keywords": "",
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            "parentProject": null,
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            "observationCollection": [
                {
                    "ob_id": 5801,
                    "uuid": "3e0a5f6f470c2b6b436e59a6a7fb8f7d",
                    "short_code": "coll",
                    "title": "Airborne Antarctic Ozone Experiment (AAOE-87): Atmospheric Composition and Meteorological Measurements.",
                    "abstract": "The Airborne Antarctic Ozone Experiment (AAOE) aimed to study chemical composition and physical parameters in the Antarctic during the development of the Antarctic Ozone Hole in August and September 1987. The data is primarily that collected onboard the NASA ER-2 and DC-8 aircraft, along with ozonesonde data collected at four Antarctic stations: Halley Bay, McMurdo, Palmer Station, and the South Pole. The experiment tested the chemical and dynamical theories of the ozone hole using the aircraft data in theoretical computer models of the chemistry and dynamics of the stratosphere. The data include atmospheric composition, meteorological parameters, aerosol data and cloud data.\r\n\r\nThe NASA ER-2 is a high altitude research aircraft that sampled air at those altitudes where the ozone hole was at its most intense, with data gathered on the air mass within the confines of the hole itself. The ER-2 collected information on three-dimensional winds, pressure, temperature, temperature profiles +/- 1 km from flight level, chlorine monoxide, bromine monoxide, ozone, nitric oxide, reactive nitrogen, total water, nitrous oxide, whole air sampling, condensation nuclei, aerosol size distribution and composition, and cloud particle images and sizes.\r\n\r\nThe DC-8 aircraft flew at the lowermost extremities of the hole and deployed a combination of remote sounding of the overlying atmosphere with some in situ sampling. Vertical distributions of ozone and aerosols above the cruising altitude of the aircraft and within the hole were mapped. The DC-8 collected ozone and aerosol profiles overhead by LIDAR; and measured ozone, bromine oxide, OClO, nitrogen dioxide, nitric acid, and hydrogen chloride. In situ methods yielded ozone, total water, and whole air sampling."
                }
            ],
            "identifier_set": [
                3796,
                3797
            ],
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        {
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            "uuid": "bf2f3ba7a8ec7b4885d4e1042733dd1d",
            "short_code": "proj",
            "title": "HiGEM - High Resolution Global Environmental Modelling - Consortium",
            "abstract": "HiGEM is a NERC - Met Office consortium developing a high resolution earth system model.",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
            "subProject": [],
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            "observationCollection": [
                {
                    "ob_id": 5912,
                    "uuid": "e5c5b7bf0a3a17a5e0ba7f64eebc2d6d",
                    "short_code": "coll",
                    "title": "HiGEM (High Resolution Global Environmental Modelling) Simulation Results",
                    "abstract": "HiGEM (High Resolution Global Environmental Modelling) is a UK programme in between NERC (Natural Environment Research Council) and the Hadley Centre of the Met Office. The aim is to advance in the fidelity of simulations of the global environment by taking the new Met Office climate model (HadGEM1a) to unprecedented resolutions. The resulting simulations aim to improve our understanding of mechanisms of climate variability and change on timescales of days to centuries."
                }
            ],
            "identifier_set": [
                3847,
                3848
            ],
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        {
            "ob_id": 5920,
            "uuid": "9ec76a40cf754608d38db728fbb86b73",
            "short_code": "proj",
            "title": "Network for the Detection of Atmospheric Composition Change (NDACC formely known as NDSC)",
            "abstract": "The Network for the Detection of Atmospheric Composition Change (NDACC) is a major component of the international upper atmosphere research effort and has been endorsed by national and international scientific agencies, including the International Ozone Commission, the United Nations Environment Programme (UNEP) and the World Meteorological Organization (WMO). Following five years of planning, instrument design and implementation, the NDSC began network operations in January 1991.",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [],
            "observationCollection": [
                {
                    "ob_id": 5917,
                    "uuid": "a21c1f5a86d16a4441245839e3575869",
                    "short_code": "coll",
                    "title": "Detection of Atmospheric Composition Change (NDACC): global remote-sounded stratospheric dynamics and chemical species measurement collection",
                    "abstract": "The Network for the Detection of Atmospheric Composition Change (NDACC), formely known as the Network for the Detection of Stratospheric Change (NDSC), is a set of high quality, remote-sounding research stations for observing and understanding the physical and chemical state of the stratosphere. These stations, where ozone and key ozone-related parameters are measured, are complemented by both secondary stations and satellite measurements. Following five years of planning, instrument design and implementation, the NDACC began network operations in January 1991. \r\n\r\nThe principal goals of the network are:\r\n\r\n* To study the temporal and spatial variability of atmospheric composition and structure in order to provide early detection and subsequent long-term monitoring of changes in the physical and chemical state of the stratosphere and upper troposphere; in particular to provide the means to discern and understand the causes of such changes.\r\n* To establish the links between changes in stratospheric ozone, UV radiation at the ground, tropospheric chemistry, and climate.\r\n* To provide independent calibrations and validations of space-based sensors of the atmosphere and to make complementary measurements.\r\n* To support field campaigns focusing on specific processes occurring at various latitudes and seasons.\r\n* To produce verified data sets for testing and improving multidimensional models of both the stratosphere and the troposphere.\r\n\r\nThe dataset contains high quality measurements of a wide range of stratospheric chemical species and parameters derived from instruments operated at a number of ground stations around the world."
                }
            ],
            "identifier_set": [
                3856,
                3857
            ],
            "responsiblepartyinfo_set": [
                25228
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        },
        {
            "ob_id": 6095,
            "uuid": "9540632d4581e44d748f4a25aa45d30c",
            "short_code": "proj",
            "title": "Met Office Wind Profiler data (1998-onwards)",
            "abstract": "As part its Operational Upper Air Network the Met Office has a number of atmospheric wind profiling radars deployed around the British Isles. The network has been in operation since 1998 with wind profilers deployed at various sites over the years, including: Camborne (Cornwall), Dunkeswell (Devon) and Wattisham (Suffolk). A fourth profiler was formerly co-located with the NERC MST wind profiling radar at Capel Dewi, near Aberystwyth, before being relocatd to  South Uist and finally re-deployed on the Isle of Man. A fifth profiler was installed on South Uist in 2005. This is an Stratophere-Tropopshere (ST) radar operating at 64 Mhz, giving greater height coverage than the other UHF radars in the network. A sixth radar was installed at the Chilbolton Observatory, Hampshire in December 2009. Data from NERC's MST radar (operating at 46.5 MHz) is also used by the Met Office to complement its own network - those data are also available at the BADC.",
            "publicationState": "published",
            "keywords": "Met Office, wind, lidar",
            "status": "",
            "parentProject": {
                "ob_id": 4,
                "uuid": "fab53ee460e05f1b68e23657f4b6c5f4",
                "short_code": "proj",
                "title": "Met Office",
                "abstract": "The Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement. For further details of these datasets see the links to this record."
            },
            "subProject": [],
            "imageDetails": [
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            "observationCollection": [
                {
                    "ob_id": 6092,
                    "uuid": "9b37cafea3a1fa3e6f69b3a85c46ee5c",
                    "short_code": "coll",
                    "title": "Met Office vertical wind profiler measurements for the British Isles (1998-2012)",
                    "abstract": "The Met Office have operated a network of wind profiling lidars at various sites around the British Isles since the first was installed in 1998, following the installation of the NERC MST radar near Aberystwyth. \r\n\r\nThis datasets collection contains the available 30 minute averaged wind profile data from these sites made available for research by the academic community and included parameters such as measurements of the zonal, meridional and vertical components of winds, signal to noise ratio and spectral width. \r\n\r\nThe data are from boundary layer UHF wind profilers located at Camborne (915 Mhz), Dunkeswell (1290 Mhz) and Wattisham (1290 Mhz) and a Stratosphere-Troposphere (ST) VHF radar at South Uist operating at 64 Mhz. A fourth UHF radar operated at 915 Mhz was operated at the NERC MST Radar site at Capel Dewi, near Aberystwyth, between November 1999 and March 2002; it was then relocated to South Uist until May 2005 ahead of and during the commissioning of the 64 Mhz radar, before being relocated to its present location on the Isle of Man. \r\n\r\nAn additional Degreane wind profiler has since been purchased by the Met Office and is deployed at the Chilbolton Observatory, but data from this instrument are not presently part of this dataset. \r\n\r\nThis dataset contains wind profiler data from:\r\n - Camborne (from 1998)\r\n - Dunkeswell (from 1999)\r\n - Wattisham (2001 to present)\r\n - Aberystwyth (Capel Dewi, 1999 to 2002)\r\n - South Uist (915MHz, 2003 to 2004)\r\n - South Uist (64MHz, from 2004)\r\n - Isle of Man (2005 to 2008 and since 2010). \r\n\r\nData from these wind-profilers, and from the NERC MST Radar, are used operationally by the Met Office for numerical weather prediction. They additionally receive data from up to another 15 wind-profiling systems throughout Europe as part of the CWINDE (COST Wind Initiative for a Network Demonstration in Europe) project. A map showing the locations of the wind profilers is available on the CWINDE website. Data from wind profilers is also routinely transmitted across the Global Telecommunication System (GTS) according to standards defined by the World Meteorological Organisation (WMO). Those data can be found in the Met Office MetDB dataset also held by the CEDA."
                }
            ],
            "identifier_set": [
                3952,
                3953
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                25939
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        {
            "ob_id": 6189,
            "uuid": "7bfa6272fbd50b12d3e2828d59fdda7a",
            "short_code": "proj",
            "title": "COSIC - COntrails Spreading into Cirrus",
            "abstract": "Air travel and its associated emissions are growing faster than other sectors. These emissions are predicted to contribute a significant warming of climate over the coming century. One of aviation?s largest effects is likely to be that due to contrails and especially aviation induced cirrus, but these effects remain more-or-less unquantified (Forster et al., 2007). The two previous estimates have relied on correlating air traffic with cirrus coverage and have both large uncertainties and methodological problems. The ultimate aim of this project is, for the first time, to build a physically based parameterization of aviation induced cirrus to determine its role in climate change. \n\nThe project aims to conduct studies of water vapour, ice crystal habit, turbulence and radiative properties of contrail as it either spreads into cirrus or dissipates. Boundary conditions for LEM studies of contrail lifecycles will be delivered and Measurements of radiative forcing from spreading contrail taken for comparison to other cases. Case studies for testing later contrail cirrus parameterization in the Unified Model will be also be considered",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [
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            "observationCollection": [
                {
                    "ob_id": 6186,
                    "uuid": "c094d0290b9c08f9f23f6388eb4c7017",
                    "short_code": "coll",
                    "title": "Facility for Airborne Atmospheric Measurements (FAAM) Aircraft Data for the CCOntrails Spreading into Cirrus (COSIC) Project",
                    "abstract": "The ultimate aim of the CCOntrails Spreading into Cirrus (COSIC) project is, for the first time, to build a physically based parameterization of aviation induced cirrus to determine its role in climate change. The project aims to conduct studies of water vapour, ice crystal habit, turbulence and radiative properties of contrail as it either spreads into cirrus or dissipates. Boundary conditions for LEM studies of contrail lifecycles will be delivered and Measurements of radiative forcing from spreading contrail taken for comparison to other cases. Case studies for testing later contrail cirrus parameterization in the Unified Model will be also be considered."
                }
            ],
            "identifier_set": [
                4013,
                4014
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            "responsiblepartyinfo_set": [
                26217
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        },
        {
            "ob_id": 6193,
            "uuid": "f26c341c46a9c83924a224284eb785c2",
            "short_code": "proj",
            "title": "Firn Record of Trace Gases Relevant to Atmospheric Chemical Change over 100 yrs (FIRETRACC/100)",
            "abstract": "The FIRETRACC project aims are to determine the history of numerous trace gases of both human (pollution) and natural origin over the 20th century in the global atmosphere. This has been achieved by pumping old air out of deep unconsolidated snow (known as firn) that accumulates to depths of around 50 to 100 m on the polar ice caps of both hemispheres. The resulting firn air samples from the Arctic and Antarctic were returned to Europe and the US for multiple gas and isotope analysis in a number of research laboratories. The firn air samples have been analysed for well over eighty separate trace gases (halocarbons, non-methane hydrocarbons, alkyl nitrates, sulphur species, etc.), and thirteen different isotopic measurements of CO2, CH4, CO and permanent gases (O2, N2, Ar, Kr). These are the most comprehensive measurements of past atmospheric composition made to date.\n\n\nThe FIRETRACC project is EU funded (Project reference ENV4970406). The FIRETRACC Scientific Co-ordinator is Dr William Sturges at the University of East Anglia, UK. Other contractors are the NERC British Antarctic Survey (BAS - UK), the Centre National de la Recherche Scientifique (CNRS - France), University of Bern (Switzerland) and the Max-Planck Institute (Germany).",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [],
            "observationCollection": [
                {
                    "ob_id": 6190,
                    "uuid": "41a6e20ba98c4913ea6893e2fcb5aec5",
                    "short_code": "coll",
                    "title": "Firn Record of Trace Gases Relevant to Atmospheric Chemical Change over 100 yrs (FIRETRACC/100)",
                    "abstract": "This data was collected as a result of the FIRETRACC/100 (Firn Record of Trace Gases Relevant to Atmospheric Chemical Change over 100 yrs) project conducted in 1998 and 1999. The FIRETRACC project aimed to determine the history of numerous trace gases of both human (pollution) and natural origin over the 20th century in the global atmosphere. This was achieved by pumping old air out of deep unconsolidated snow (known as firn) that accumulates to depths of around 50 to 100 m on the polar ice caps of both hemispheres. The resulting firn air samples from the Arctic and Antarctic were returned to Europe and the US for multiple gas and isotope analysis in a number of research laboratories. The firn air samples were analysed for well over eighty separate trace gases (halocarbons, non-methane hydrocarbons, alkyl nitrates, sulphur species, etc.), and thirteen different isotopic measurements of CO2, CH4, CO and permanent gases (O2, N2, Ar, Kr).\r\n\r\nIn summary, the objectives of FIRETRACC/100 are as follows: \r\n* To determine the global trends of trace gases relevant to troposphericchemistry over the 20th century. These will include CO, the isotopiccomposition of CO, hydrocarbons, alkyl nitrates, numerous OH-reactivehalocarbons (such as methyl chloride, methyl chloroform, methyl bromide,hydrochlofluorocarbons, etc.), and sulphur gases (COS, CS2, etc.). Trends of longer lived gases will also be determined for dating purposes (CO2, CFCs,SF6, perfluorocarbons, etc.)\r\n* Determine the evolution of inter-hemispheric ratios of OH-sensitive species to constrain modelled global OH fields\r\n* Examine ratios of parent hydrocarbons to alkyl nitrates to place constraints on NOX fields in models\r\n* Elucidate the sources of CO from isotopic studies and use to deconvolute CO/methane coupling in models\r\n* Reconstruct the history of ozone, OH and tropospheric oxidising capacity over the past 100 years using full chemistry 2-D models\r\n* Determine the influence of 20th century industrialisation on the gas phase composition and chemistry of the lower atmosphere\r\n\r\nThe data consists of ‘primary’ data comprising simple concentration versus depth profiles, and for selected gases also ‘secondary’ data comprising reconstructed historical trends. The firn diffusion model, used in the model reconstruction, is also available through this site."
                }
            ],
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            ],
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        {
            "ob_id": 6289,
            "uuid": "8a223610f56e7352ebdc19a31f836ea3",
            "short_code": "proj",
            "title": "The NERC MICROphysicS of COnvective PrEcipitation (MICROSCOPE) project as part of the COnvective Precipitation Experiment (COPE)",
            "abstract": "The COnvective Precipitation Experiment (COPE) is a project designed to understand the key processes that control precipitation intensity and to improve their representation in convective-scale forecast models. COPE is led by the National Centre for Atmospheric Science and the UK Met Office, and involves scientists at the Universities of Leeds, Manchester and Reading, as well as international partners from the Universities of Purdue and Wyoming. The MICROphysicS of COnvective PrEcipitation (MICROSCOPE) is the NERC funded part of the wider COPE (COnvective PrEcipitation) project.",
            "publicationState": "published",
            "keywords": "",
            "status": "completed",
            "parentProject": null,
            "subProject": [],
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                    "ob_id": 6286,
                    "uuid": "8440933238f72f27762005c33d2aa278",
                    "short_code": "coll",
                    "title": "MICROphysicS of COnvective PrEcipitation (MICROSCOPE) project: In-situ airborne atmospheric and ground-based radar measurements",
                    "abstract": "This dataset collection brings together the datasets produced from the MICROphysicS of COnvective PrEcipitation (MICROSCOPE) project, the NERC funded part of the wider COPE (COnvective Precipitation Experiment) project. COPE was led by the National Centre for Atmospheric Science (NCAS) and the UK Met Office, and involved scientists at the Universities of Leeds, Manchester and Reading, as well as international partners from the Universities of Purdue and Wyoming. As part of COPE, MICROSCOPE sought to improve predictions of severe convective rainfall by addressing the problem of the microphysics of precipitation in convective clouds. Data were collected during the project over Cornwall and Devon, UK, during July and August 2013 to study the clouds. Three research aircraft (Facility for Airborne Atmospheric Measurements (FAAM) BAe146, Met Office Civil Contingency Aircraft (MOCCA) and University of Wyoming King Air), a ground-based radar and several other ground-based instruments took measurements of exactly how the rain forms and develops. The aircraft were equipped with instruments that can distinguish between liquid and solid particles at 200 mph, for example. A major objective was to find these needles in the haystack – the first few ice crystals that form in amongst the hundreds of cloud droplets per every cubic centimetre of cloud."
                }
            ],
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            "ob_id": 6299,
            "uuid": "6d0894f31328fb9cb587eafafa9e4c3f",
            "short_code": "proj",
            "title": "LAND EMISSivity experiment (LAND EMISS)",
            "abstract": "Land Emiss aimed to study the thermal infrared emissivity of a range of different land surface types using the FAAM BAE-146 aircraft.",
            "publicationState": "published",
            "keywords": "LAND EMISS, FAAM, Chemistry",
            "status": "completed",
            "parentProject": null,
            "subProject": [],
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                    "short_code": "coll",
                    "title": "Facility for Airborne Atmospheric Measurements (FAAM) Aircraft Data for the LAND EMISSivity (LAND MISS) experiment",
                    "abstract": "The LAND EMISSivity experiment (LAND EMISS) aimed to study the thermal infrared emissivity of a range of different land surface types using the Facility for Airborne Atmospheric Measurements (FAAM) BAE-146 aircraft. The UK based campaign made use of the FAAM BAE-146 aircraft during early summer 2006 with an additional period of UK-based flying in summer 2007, and opportunities for flights over snow and ice were investigated."
                }
            ],
            "identifier_set": [
                9077,
                4099,
                4100
            ],
            "responsiblepartyinfo_set": [
                26643
            ],
            "onlineresource_set": []
        },
        {
            "ob_id": 6300,
            "uuid": "ae9d95078716251c53c396cf5b24941e",
            "short_code": "proj",
            "title": "Met Office FAAM campaigns",
            "abstract": "Met Office FAAM campaigns. These are funded solely by the Met Office rather than NERC/Met Office.\r\nThey include\r\nMARVAL - Maritime Validation - Met Office Defence flying off south coast",
            "publicationState": "published",
            "keywords": "",
            "status": "ongoing",
            "parentProject": {
                "ob_id": 4,
                "uuid": "fab53ee460e05f1b68e23657f4b6c5f4",
                "short_code": "proj",
                "title": "Met Office",
                "abstract": "The Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement. For further details of these datasets see the links to this record."
            },
            "subProject": [
                {
                    "ob_id": 14845,
                    "uuid": "7195a9c87b23483297ff3b91e9a19a9d",
                    "short_code": "proj",
                    "title": "RAINCLOUDS- Mixed phase precipitating clouds study",
                    "abstract": "Met Office project to study microphysical and radiative properties of mixedphase precipitating clouds and cirrus in conjunction with Chilbolton radar."
                },
                {
                    "ob_id": 14847,
                    "uuid": "a1d16f2dfd934381b390e22760d1136b",
                    "short_code": "proj",
                    "title": "Met Office Saharan Dust",
                    "abstract": "Need to write an abstract"
                },
                {
                    "ob_id": 14833,
                    "uuid": "0880f55fb8aa42b29d5e442809267156",
                    "short_code": "proj",
                    "title": "CONSTRAIN - Cold Cloud Microphysical Parameterisation Studies",
                    "abstract": "The main issues are the pristine ice number concentration, snow evolution leading to surface precipitation, mixed-phase and cold cloud length scales. \r\nThe main goals in order of priority are: \r\n  * To provide statistical datasets to act as a critical holistic test of three phase microphysics as RICO did for warm cloud microphysics (e.g. cold air outbreak). \r\n  * To test whether the background aerosol concentration active as ice nuclei can be used to predict the pristine ice concentration in cases where there is limited ice multiplication. \r\n  * To test detailed microphysical assumptions in model, which include capacitance, aggregation efficiency vs temperature (conversion rate from 'ice' to 'snow' categories), mass-dimension relations and area-dimension relations (these combine to give fall-speed). \r\n  * To investigate small ice (sub 100 microns) concentration controversy."
                },
                {
                    "ob_id": 14837,
                    "uuid": "4908f9c47f14418b990bd46dae55e304",
                    "short_code": "proj",
                    "title": "ISMAR Test flight: International Sub-Millimetre Airborne Radiometer",
                    "abstract": "Project details needed. Please contact CEDA for additional information."
                },
                {
                    "ob_id": 14832,
                    "uuid": "11eab7ddc94446e68215e92664f6d158",
                    "short_code": "proj",
                    "title": "AQUM - Air Quality forecasting and modelling in the Unified Model project, general Met Office flying",
                    "abstract": "AQUM - Air Quality forecasting and modelling in the Unified Model project, general Met Office flying"
                },
                {
                    "ob_id": 14850,
                    "uuid": "4bacecb176b5476ba95371b28dddde57",
                    "short_code": "proj",
                    "title": "SUMEX-14: Met Office Summer Campaign, 2014",
                    "abstract": "Project theme: Instrument testing and development. Measurements to validate case-studies using operationap NWP models.\r\n \r\n Measurements to be made by aircraft: Several types of flight will be undertaken within the period, in response to the available weather conditions. These include: i) Functional testing and initial scientific use of ISMAR (International Sub-Millimetre Airborne radiometer), ii) microphysics and dynamics of boundary-layer clouds for comparison with high-resolution operation NWP models, iii) validation case studies of the Air Quality Unified Model (AQUM), iv) structure and properties of mixed-phase stratiform cloud layers, v) studies of mountain lee-waves\r\n \r\n Time constraints: Within the overall period, 6 weeks are set aside for flying commencing on the following dates: 16 and 23 June, 21 and 28 July, 8 and 15 September.\r\n \r\n Flights (number and patterns): A total of 8 flights (40 flight hours) is anticipated during the 6 available flying weeks."
                },
                {
                    "ob_id": 14851,
                    "uuid": "af591c94e8b440dfb3f34b1f39be1bcf",
                    "short_code": "proj",
                    "title": "Variational Assimilation of Cloud Affected Radiances (VACAR)",
                    "abstract": "This Met Office FAAM BAe-146 aircraft campaign sought to gather a diverse set of observations of different cloud types over land and ocean to trial a new 1D-Var code and develop techniques to allow the assimilation of cloud-affected radiances in the Met Office Unified Model for NWP.\r\n \r\n Equipment: Core Consoles, Core Chemistry, Cloud Physics (FFSSP,2D-P,2D-C,PCASP,SID1,SID2,CIP), AVAPS, FWVS/CCN, INC, CPI, Nephelometer/PSAP, Wet-Nephelometer, SWS/SHIMS, Radiometeters 1&2 (ARIES,DEIMOS,MARSS,IRR), Lidar"
                },
                {
                    "ob_id": 14842,
                    "uuid": "87a32f00ddf941248598b2efe98e4cfb",
                    "short_code": "proj",
                    "title": "Met Office Mixed Phase Cloud Studies",
                    "abstract": "Project details needed. Please contact CEDA for additional information."
                },
                {
                    "ob_id": 14843,
                    "uuid": "e5037002773544ea87a80b488aa97164",
                    "short_code": "proj",
                    "title": "Met Office Civil Contingency Aircraft intercomparison",
                    "abstract": "Project details needed. Please contact CEDA for additional information."
                },
                {
                    "ob_id": 14853,
                    "uuid": "c052926a570444fd86722f784382f256",
                    "short_code": "proj",
                    "title": "VIROSS - Visible Reflectance of the Sea Surface",
                    "abstract": "The regulatory response for ensuring aviation safety during events such as the Eyjafjallajökull eruption depends on dispersion models. The accuracy of the dispersion predictions depend on the intensity of the eruption, on the model representation of the plume dynamics and the physical properties of the ash and gases in the plume. Better characterisation of these processes and properties will require improved understanding of the near-source plume region."
                },
                {
                    "ob_id": 14854,
                    "uuid": "3619d0f19b424a72a5e568051b003054",
                    "short_code": "proj",
                    "title": "URBan VISibility in UK",
                    "abstract": "VisUrb was a Met Office FAAM project which aimed to study the microphysical and radiative properties of urban aerosol around the UK. Flights on  the FAAM BAe-146 aircraft upwind and downwind of major urban aerosols sources were flown to characterize the aerosol and compare distributions with Mesoscale model."
                },
                {
                    "ob_id": 14839,
                    "uuid": "03b8d260a3f64753bfdba0a3c3c505bf",
                    "short_code": "proj",
                    "title": "Maritime Validation",
                    "abstract": "Met Office Defence flying off south coast"
                },
                {
                    "ob_id": 14844,
                    "uuid": "8fefc02a17ad4558ad171459bb544dad",
                    "short_code": "proj",
                    "title": "Met Office PIKNMIX campaigns: cloud pyhsics and radiation events",
                    "abstract": "PIKNMIX is a range of Met Office cloud pyhsics and radiation campaigns including cold air outbreak studies. \r\n Objectives: \r\n 1.To obtain microphysical and dynamical measurements in a variety of cloud regimes including cold air outbreaks, cirrus and mid-level mixed phase clouds.\r\n 2.Flights in combination with the operational weather radar at Stornaway & Aberdeen.\r\n 3.Potential intercomparison flight with MOCCA.Cold air outbreak up towards Iceland (potential overnight if hangar available).\r\n 4.Spiral descent in Cirrus"
                }
            ],
            "imageDetails": [
                69
            ],
            "observationCollection": [],
            "identifier_set": [
                4101
            ],
            "responsiblepartyinfo_set": [
                26644
            ],
            "onlineresource_set": []
        },
        {
            "ob_id": 6305,
            "uuid": "3ffd77b96c15d3e96db104aa34a5e782",
            "short_code": "proj",
            "title": "ECMWF ERA-Interim Re-analysis project",
            "abstract": "The objectives of the European Centre for Medium-Range Weather Forecasts ERA-Interim project are to produce and promote use of a comprehensive set of global analyses describing the state of the atmosphere, land and ocean-wave conditions from 1979 to present. The ERA-Interim project builds on the previous work undertaken by the ERA-15 and ERA-40 projects. ERA-Interim is continuously updated in real time at ECMWF, though products are later processed before delivery to the BADC. The data assimilation system used to produce ERA-Interim is based on a 2006 release of the IFS (Cy31r2). The system includes a 4-dimensional variational analysis (4D-Var) with a 12-hour analysis window. The spatial resolution of the data set is approximately 80 km (T255 spectral) on 60 vertical levels from the surface up to 0.1 hPa. An open-access journal article describing the ERA-Interim reanalysis is available from the Quarterly Journal of the Royal Meteorological Society. Additional details of the modeling and data assimilation system used to produce ERA-Interim can be found in the IFS Cy31r1 documentation.",
            "publicationState": "published",
            "keywords": "",
            "status": "ongoing",
            "parentProject": {
                "ob_id": 3459,
                "uuid": "b5e6222479bf4cd02faee54bff4d45b4",
                "short_code": "proj",
                "title": "European Centre for Medium-range Weather Forecasts (ECMWF)",
                "abstract": "The European Centre for Medium-range Weather Forecasts (ECMWF) is an intergovernmental organisation supported by 28 European states. ECMWF is based in Reading, west of London, in the United Kingdom."
            },
            "subProject": [],
            "imageDetails": [],
            "observationCollection": [
                {
                    "ob_id": 6302,
                    "uuid": "00f58d1d7b6c8f38993e77c79e72da92",
                    "short_code": "coll",
                    "title": "European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis Interim (ERA-Interim) model data",
                    "abstract": "ERA-Interim is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1989 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects. The dataset includes data on surface, PV, potential temperature and pressure surfaces. Model level data available as GRIB formatted data on spectral and reduced Gaussian grids. \r\n\r\nMonthly mean of daily mean and  synoptic monthly mean data are also available as part of this collection.\r\n\r\nAdditional datasets derived from these data are also available."
                }
            ],
            "identifier_set": [
                4108,
                4109
            ],
            "responsiblepartyinfo_set": [
                26671,
                113841,
                113842,
                113843
            ],
            "onlineresource_set": [
                2884,
                5133
            ]
        },
        {
            "ob_id": 6385,
            "uuid": "a0aebebc95412cadd236706b90419153",
            "short_code": "proj",
            "title": "European Facility for Airborne Research in Environmental and Geo-sciences (EUFAR)",
            "abstract": "European Facility for Airborne Research in Environmental and Geo-sciences (EUFAR) is an Integrating Activity  of the European Commission since 2000. EUFAR brings together European institutions and companies involved in airborne research, a large range of instrumented aircraft and provides access to hyperspectral instruments. \r\nThe current EUFAR project covers a 4-year period (2014 – 2018) and is financed by the European Commission under its 7th Framework Programme (FP7) under grant agreement 312609. It is governed by a consortium of 24 European research organisations originating from 11 countries, including 12 research aircraft and instrument operators.",
            "publicationState": "published",
            "keywords": "aircraft, in-situ, hyperspectral, FP7",
            "status": "ongoing",
            "parentProject": null,
            "subProject": [
                {
                    "ob_id": 14848,
                    "uuid": "7455b62a65ae4247931f6cc6244eb143",
                    "short_code": "proj",
                    "title": "SONATA- School ON Aircraft Techniques for the studies of Atmospheric chemistry.",
                    "abstract": "EUFAR Summer School to provide PhD level students and early career scientists, a comprehensive overview about airborne measurement techniques, data analysis and specifics relevant to atmospheric chemistry research. The SONATA Summer school took place over 14 days in August-September 2011 and included lectures, hands on measurements on the FAAM BAe-146 aircraft based at Pescara airport, and post flight data analysis."
                },
                {
                    "ob_id": 14830,
                    "uuid": "783fa5a4ac4e469ab634dc8e1490f95a",
                    "short_code": "proj",
                    "title": "AEGEAN-GAME2 - AEGEAN Pollution: Gaseous and Aerosol airborne Measurements project",
                    "abstract": "EUFAR project to: 1.To investigate the physical and chemical processing of polluted air masses transported over the Aegean troposphere during the Etesian winds (the most important synoptic meteorological condition that occurs over the Aegean \r\n  Sea during summer), and to evaluate the representation of these processes in models of atmospheric composition and transport.\r\n  2.The experiment will involve flying of several tracks, spaced by about 10-20 km, over the region at heights up to 10 km to continuously monitor aerosols, gaseous pollutants, radicals and meteorological parameters. \r\n  The interpretation of the airborne measurements will be enriched by the analysis of in situ continuous air pollution and meteorological measurements that will be conducted on the islands of Lesvos and Crete, at the northern and \r\n  southern Aegean respectively.\r\n  3.Available measurements using instruments onboard vessels commuting across the Aegean Sea will be used for the interpretation of the results.\r\n  4.The measured physical parameters and chemical/aerosol concentrations will be compared with model predictions to assess their ability to capture various processes that take place in the atmosphere over the Aegean Sea."
                },
                {
                    "ob_id": 14828,
                    "uuid": "a637bb95b5fc471ca1bd17215d4bcf22",
                    "short_code": "proj",
                    "title": "ACAS - Airborne Cloud and Aerosol Science Project",
                    "abstract": "A detachment to Rotterdam in April 2008 to provide training for about 15 student attending an EUFAR Summer School in Utrecht in gathering and exploting cloud and microphysical data."
                },
                {
                    "ob_id": 14829,
                    "uuid": "c5bdcd2e3fc844ce909b92430f5e9040",
                    "short_code": "proj",
                    "title": "ACEMED - Evaluation of CALIPSO's Aerosol Classification scheme over Eastern MEDiterranean",
                    "abstract": "The EUFAR project ACEMED aims to evaluate CALIPSO's algorithm for aerosol type classification using airborne and ground-based measurements over Eastern Mediterranean."
                },
                {
                    "ob_id": 19560,
                    "uuid": "a152ff34ab554682922a7b3088d1cb6c",
                    "short_code": "proj",
                    "title": "AIMWETLAB - Aerial imaging of the wetlands of Lake Balaton and the Kis-Balaton",
                    "abstract": "The EUFAR project AIMWETLAB investigated the shore vegetation of the Lake Balaton and the Kis-Balaton constructed wetland (Hungary) and the ecological processes that controlled the regeneration of these wetlands. In particular, the resource took measurements through the use of aerial photography and initiated a hyperspectral and LIDAR annual survey of the whole shoreline of the two study sites.\r\nThe study was required as the wetlands were threatened by a dominant macrophyte, the common reed (Phragmites australis). \r\nThe main objective of the study was to gain information on the causing factors of the decline of reed-dominated wetlands on Lake Balaton and on the distribution of wetland vegetation on Kis-Balaton. \r\nThe secondary goal was to understand the water regime controlling the measured spatial and temporal patterns by a comparision of the maps with a high-resolution elevation model of the shore surveyed by LIDAR. \r\n\r\nThe investigation start date: 16-08-2010\r\nThe investigation end date: 26-08-2010\r\n\r\nThe investigation was located in Lake Balaton, Hungary"
                },
                {
                    "ob_id": 19562,
                    "uuid": "7669a7b32d8248c59b0ae6029b3fe9af",
                    "short_code": "proj",
                    "title": "AIRES-CZM -  Using AIRborne REmote Sensing for improved Coastal Zone Management",
                    "abstract": "The objective of the EUFAR project AIRES-CZM was to develop a reliable tool to estimate coastal water quality indicators by using remote sensing techniques (both airborne and satellite). \r\nA set of semi-empirical algorithms (based on hyper-spectral airborne and in-situ data for estimating the concentrations of the water constituents) were also developed in addition to the migration of the developed algorithms into the satellite workflow. \r\nThe secondary objective was the implementation of an automatic warning system based on satellite imagery processing and the final objective was the inclusion of the information obtained by means of remote sensing in the dataset used for the calibration of regional hydrodynamic models.\r\n \r\nThe area of the Cantabrian coastal fringe faced the problem of lacking its own specific algorithms to retrieve those water quality parameters derived from remotely-sensed data. Therefore, the main issue addressed in the campain was the development of those regional algorithms. This development required the combination of both airborne and satellite data with information collected in field campaigns.\r\n\r\n\r\n\r\nStart date of project:  19-07-2010\r\nEnd date of project:  20-07-2010\r\n\r\nThe investigation took place in the Cantabrian coastal fringe\r\n"
                },
                {
                    "ob_id": 19557,
                    "uuid": "08cba893ed704464b51077c63c6792a0",
                    "short_code": "proj",
                    "title": "A.NEW - Airborne observations of Nonlinear Evolution of internal Waves generated by internal (tidal) beams",
                    "abstract": "The aim of the EUFAR project A.NEW was to observe the initial stages of internal solitary wave generation with high temporal resolution by combining airborne and satellite remote sensing techniques."
                },
                {
                    "ob_id": 19599,
                    "uuid": "a843b8ebffba4ae6981ae220948ce381",
                    "short_code": "proj",
                    "title": "ARMSRACE - Archaeological and Relief Modeling of the Sárvíz valley for Reconstruction of Ancient Climate Events",
                    "abstract": "This EUFAR project used hyperspectral instruments to investigate connecting archeological settlement patterns with historic geomorphological and hidrological modelling based on remote sensing data in the Sarviz valley (Hungary).\r\n\r\nStart date of project: 19-08-2010\r\nEnd date of project: 19-08-2010\r\n\r\nThe investigation took place in Sármellék, Hungary\r\n"
                },
                {
                    "ob_id": 19600,
                    "uuid": "71a8dfb87bd34f75adb86dc11aa88abf",
                    "short_code": "proj",
                    "title": "BLLATE1 - Boundary Layer Late Afternoon Transition Experiment 1",
                    "abstract": "The aim of this EUFAR project was to observe and understand the dynamics of the atmospheric boundary layer during the transition from convective to stable condition. \r\n\r\nStart date of project: 14-06-2011\r\nEnd date of project: 25-06-2011\r\n\r\nThe investigation took place in Lannemezan, France\r\n"
                },
                {
                    "ob_id": 19601,
                    "uuid": "1eb5c43f083146289596118cefa739b6",
                    "short_code": "proj",
                    "title": "BLLATE2 - Boundary Layer Late Afternoon Transition Experiment 2",
                    "abstract": "The aim of this EUFAR project was to observe and understand the dynamics of the atmospheric boundary layer during the transition from convective to stable conditions. \r\n\r\nStart date of project: 14-06-2011\r\nEnd date of project: 27-06-2011\r\n\r\nThe investigation took place in Lannemezan, France\r\n"
                },
                {
                    "ob_id": 19602,
                    "uuid": "474303fe11d24d93ae37046d0859815f",
                    "short_code": "proj",
                    "title": "DeInVader -  Tracing the invasion of an exotic tree species in protected West-Mediterranean dune ecosystems",
                    "abstract": "This EUFAR project aimed to Detect and analyse the spread of exotic Acacias in West-Mediterranean biodiverse costal dunes with hyperspectral images and LiDAR. \r\n\r\n\r\nStart date of project: 04-04-2011\r\nEnd date of project: 08-04-2011\r\n\r\nThe investigation took place in the West-Mediterranean\r\n"
                },
                {
                    "ob_id": 19603,
                    "uuid": "4ff44482abbf460b922801a2819a3861",
                    "short_code": "proj",
                    "title": "DRAMAC - Draconid meteor shower outburst multi-instrument aircraft campaign",
                    "abstract": "The aim of this EUFAR mission was to study the 2011 Draconid meteor shower, that occured on the 8 October 2011. \r\n\r\nThe meteor shower was studied and recorded though a variety of methods. The measurement and calculations of the atmospheric trajectories and heliocentric orbits was of particular interest in addition to the measurement of the deceleration. The deceleration also allowed the group to infer the internal structure of the meteoroids. Additional information on the meteoroid composition was provided by spectral cameras.\r\nAmong other goals of the proposed mission were – mapping of the dust distribution in the Earth’s vicinity, measuring of the shower activity profile, duration and the peak time, density of the particles, magnitude and mass distribution as well as the flux of the Draconid meteoroids.\r\n\r\nThe airborne observations greatly increased the likelihood of observing the event as there was a near guarantee to have clear sky once above the cloud line and to be high above the densest part of the atmosphere.\r\n\r\nStart date of project: 05-10-2011\r\nEnd date of project: 09-10-2011\r\n\r\nThe investigation took place between Oberpfaffenhofen, Germany and Kiruna, Sweden\r\n"
                },
                {
                    "ob_id": 19604,
                    "uuid": "fd3ce12eeed14c908ca4e695efeca9ac",
                    "short_code": "proj",
                    "title": "EDOCROS - Early detection of crop water and nutritional stress by remotely sensed indicators",
                    "abstract": "This was a EUFAR project exploring the potential of hyperspectral remote observation and thermal imaging for the early detection and mapping of crop water and nutritional stress for a sustainable use of resources. \r\n\r\nStart date of project: 18-07-2010\r\nEnd date of project: 23-07-2010\r\n\r\nThe investigation took place near Pisa, Italy\r\n"
                },
                {
                    "ob_id": 19606,
                    "uuid": "7e6319050c38419489b92ae25c96bfa7",
                    "short_code": "proj",
                    "title": "GEOMAD - Measuring the geoid over Madeira",
                    "abstract": "GEOMAD - was a EUFAR project using airborne gravimetry to measure the geoid over Madeira\r\n\r\nStart date of project: 24-08-2010\r\nEnd date of project: 05-09-2010"
                },
                {
                    "ob_id": 19609,
                    "uuid": "5a91704a9e9741259d5b0370cdcca19a",
                    "short_code": "proj",
                    "title": "HABlakes - Spectral characterization of harmful algal blooms in Mantua lakes (Italy)",
                    "abstract": "This was a EUFAR project using the APEX hyperspectral instruments to study water quality. \r\nSome particular algal blooms (especially cyanobacteria) can produce toxic substances, which are dangerous for the aquatic fauna and human health.\r\nThe investigation therefore, aimed to estimate the amount of harmful cyanobacteria blooms in the existing algae blooms.\r\nThis was researched through the use of  in situ and remotely hyperspectral measurements as well as the creation of reliable algorithms based on remote sensing techniques for monitoring the cyanobacteria blooms.\r\n\r\nThe type of cyanobacteria can be identified by the algae's spectral response. Hence, the extent of the algal bloom was detected using hyperspectral sensors.\r\n\r\nThe investigation also helped to deepen the ecological knowledge of the correlation between the occurrence of algal bloom and their abundance and both physic-chemical and hydrodynamics parameters.\r\n\r\n\r\nStart date of project: 09-09-2011\r\nEnd date of project: 21-09-2011\r\n\r\nThe investigation took place by the Mantua lakes, Italy"
                },
                {
                    "ob_id": 19615,
                    "uuid": "1e0fc75b3a1d4e25b9695cb13ac410f0",
                    "short_code": "proj",
                    "title": "HyMedEcos-Gradients  -  Hyperspectral monitoring of Mediterranean ecosystems: gradients of land degradation",
                    "abstract": "HyMedEcos-Gradients  -  Hyperspectral monitoring of Mediterranean ecosystems: gradients of land degradation was a EUFAR project using the NERC ARSF DO228 aircraft.\r\n\r\nStart date of project: 29-03-2011\r\nEnd date of project: 27-04-2011\r\n\r\nThe investigation took place in the Mediterranean"
                },
                {
                    "ob_id": 19617,
                    "uuid": "02fc413fd1ea468ba5e6c65291e1bc44",
                    "short_code": "proj",
                    "title": "HYPERSTRESS - Use of high spatial and spectral resolution imagery to estimate water stress levels in citrus orchards",
                    "abstract": "The main scientific objective of this EUFAR project is to pre-visually estimate water stress in citrus orchards using the combination of airborne hyperspectral and multispectral UAV data. This main objective encloses different sub-objectives to\r\n1/ assess the performance of hyperspectral stress related indices (e.g. PRI) for estimating the water stress levels in the citrus orchards under investigation \r\n2/estimate the fluorescence signal at the field level to assess if the fluorescence signal is useful for water stress detection in orchards \r\n3/test and validate a spatial unmixing algorithm on real hyperspatial (cm), multispectral UAV images and hyperspectral airborne data\r\n\r\nStart date of project: 05-09-2011\r\nEnd date of project: 16-03-2012"
                },
                {
                    "ob_id": 19605,
                    "uuid": "c6d56aa8b2ac45f19948bfa06bdf63da",
                    "short_code": "proj",
                    "title": "HyperForest - Advanced airborne hyperspectral remote sensing to support forest management",
                    "abstract": "This was a EUFAR project exploring the potential of hyperspectral remote observation and LiDAR for forest structure characterization. \r\nStart date of project: 23-08-2010\r\nEnd date of project: 03-09-2010 "
                },
                {
                    "ob_id": 19558,
                    "uuid": "4d557f31ba934d68b9602520d7351b79",
                    "short_code": "proj",
                    "title": "ADDRESSS -  ADvanced Digital REmote sensing in Ecology and earth Sciences Summer School",
                    "abstract": "The ADDRESS project was a EUFAR-funded summer school main with the aim of to sharing knowledge on the simultaneous use of several advanced airborne remote sensing methods. The project also provided hands-on experience of planning, measuring, processing and evaluating such measurements to early-stage researchers for experience in future individual studies using airborne measurements.\r\nThe following topics were researched during the project: a detailed methodology of LIDAR and hyperspectral measurements; case studies of applications in diverse environments; data processing for vegetation and land cover assessment as well as terrain modelling (LIDAR).\r\n\r\nStart date of project: 17/08/2010\r\nEnd date of project: 28/08/2010\r\n\r\nThe investigation took place in Tihany, Hungary."
                },
                {
                    "ob_id": 19598,
                    "uuid": "bfeb7062c7e3488b82fd9f69d49b9425",
                    "short_code": "proj",
                    "title": "ALISA -  Atmosphere-surface interactions over the Larsen Ice Shelf and Weddell Sea, Antarctic",
                    "abstract": "The main objectives of this EUFAR airborne experiment were to study the energy budget of the snow surface and the atmospheric boundary-layer during various flow conditions over the Larsen ice shelf and the effective albedo at the ice shelf margin. \r\n\r\nThe ALISA experiment investigated the Larsen Ice Shelf, which is very sensitive to the effects of climate change and addressed some aspects that could only be observed with an airborne experiment, such as the effective surface albedo and the large-scale three-dimensional characterization of the boundary layer turbulence and radiative transfer.\r\nIn an area like Larsen Ice Shelf, which is very difficult to access, the only available methods to derive the surface energy balance were the automatic weather stations (AWS), aircraft measurements, and satellite observations associated with atmospheric modelling. \r\n\r\nStart date of project: 09-02-2010 \r\nEnd date of project: 08-03-2010\r\n\r\nThe investigation took place by the Larsen Ice Shelf and Weddell Sea, Antarctic\r\n"
                },
                {
                    "ob_id": 19957,
                    "uuid": "07d12fb2a749490a918f76659ccdedfe",
                    "short_code": "proj",
                    "title": "HYMEDECOS-Erosion- HYperspectral monitoring of MEDiterranean ECOSystems: Soil erosion and water/suspended sediment transport monitoring and modelling in the Isábena catchment (NE Spain)",
                    "abstract": "This EUFAR project forms part of a multi-scale project on generation, transport and retention of water and suspended sediments in a large dryland catchment in NE Spain. Mediterranean dryland areas such as the selected study site are particularly sensitive to soil erosion, frequently resulting in reservoir siltation and thus adversely affecting water quantity and quality. At present, little is known on sediment storage and passage through the various catchment and channel units. Therefore, this project aims at providing a comprehensive set of data for hydrological modelling of water and suspended sediment transport in order to improve understanding of connectivity processes. Due to its high spectral and spatial resolution, airborne hyperspectral remote sensing is considered as a promising technique for assessing some of the required parameters for the spatial modelling approach. The concurrent acquisition of accurate LiDAR data allows retrieving detailed terrain and vegetation information. Focus of the present study is (1) to derive spatial information on vegetation, soil and terrain for hydrological model input by combined hyperspectral and LiDAR data, and (2) to conduct a spectral fingerprinting approach allowing to trace back sources and pathways of sediments. Airborne data acquisition will be accompanied by an extensive field campaign."
                },
                {
                    "ob_id": 19955,
                    "uuid": "a2e431fcc1f64adc9177b52d64a7dcd5",
                    "short_code": "proj",
                    "title": "HIDHAZ_N_ICELAND- The hidden hazard of melting ground-ice in Northern Iceland",
                    "abstract": "The melting of glaciers as a result of recent climate change can be easily recognised and associated hazards identified, even if only qualitatively from visual inspection. However, the melting of shallow ground-ice in mountainous areas with discontinuous permafrost is a hidden hazard: the surfaces concerned look like normal moraine or talus slope materials without more detailed inspection. This hidden hazard has recently been revealed in northern Iceland: ~500,000m3 of debris was mobilised by a catastrophic failure of perched ice-rich sediments on Mafellshyrna Mountain, Iceland in September 2012. A further, smaller slide happened in Árnafjall in summer 2014. Fortunately, the runout zones were uninhabited. \r\nThis EUFAR project aims to identify other sites in Iceland where such failures could occur, including inhabited areas. To do this, it is necessary to fully understand the Mafellshyrna slide, of which an essential component is airborne hyperspectral, thermal and LiDAR data. Three other sites with a similar configuration have been identified.  The project will use airborne data in order to: (1) test the use of airborne thermal remote sensing for rapid identification of such sites elsewhere, (2) characterise Mafellshyrna's setting to allow comparison to other sites and (3) create an empirical model allowing the assessment of the runout and the volume of flow elsewhere to assess the potential hazard."
                },
                {
                    "ob_id": 19937,
                    "uuid": "ae19aaf7f405456bb0ae22ef98d48d70",
                    "short_code": "proj",
                    "title": "VERDRILLT- VERtical Distribution of Radicals In the Lower Layers of the Troposphere",
                    "abstract": "This project investigated the vertical distribution of peroxy radicals in the lower layers of the troposphere (up to 2-3 km) and its relation with the distribution of biogenic and anthropogenic emissions of organic precursor.\r\nThe data collected were airborne in situ measurements of the total sum of peroxy radicals, air samples for the off line analysis of volatile organic compounds (VOCs) together with the simultaneous measurement of standard atmospheric physical parameters (wind speed and direction, temperature, pressure, relative humidity), UV radiation, and other trace gases of interest like ozone and nitrogen oxides provided by the general instrumentation of the aircraft.  These were used to provide valuable information about the extension of the vertical input of organics during situations of different convective activity and its influence in the photochemical activity of the tropospheric layers close to the surface.\r\n\r\nInformation about surface emissions obtained by emission inventories and existing measurement networks for the measurement of VOCs and ground based in situ measurement of peroxyradicals and VOCs at a selected measurement site were also used.\r\n\r\n"
                },
                {
                    "ob_id": 19963,
                    "uuid": "112367f369e442018be22d2a067a784c",
                    "short_code": "proj",
                    "title": "ISOTHERM- Ice SnOw vegetation HypERspecTral Measurements",
                    "abstract": "The aim of this EUFAR project is to measure the hyperspectral (HS) signature of snow surface in the Mont-Blanc Massif in order to estimate the spatial variability of snow surface properties (albedo, grain size and impurities content). These properties display a strong spatio-temporal variability and constrain the energy budget of the snowpack. The data retrieved during the experiment will be compared to ground measurements and satellite observations. They will provide a unique dataset to better investigate and model the surface radiative and mass balance of snow surfaces. The second objective is to obtain accurate high-resolution characterizations of glacier surface (glacier margins, glacier surface area covered by debris, limit between snow and ice). HS data will provide relevant information to quantify spatio-temporal changes in albedo (a key variable of the surface energy balance governing the ablation processes at the glacier surface) at the moment of the year (late summer) when the snow cover on the glacier surface is minimal. In addition, airborne LiDAR will allow for the elaboration of a fine-grained digital elevation model. Combining HS and LiDAR data will also enable improved modeling and understanding of glacier mass balance through investigation of the effects of small-scale topography on surface radiation and energy balances. Finally, HS imagery has direct applications for questions in alpine plant ecology. Our overall objective is to obtain a fine-grained classification of the land cover, together with spatially distributed parameters of plant canopies (physical and biochemical)."
                },
                {
                    "ob_id": 19970,
                    "uuid": "8ab804431f534821917320557e6cae3c",
                    "short_code": "proj",
                    "title": "UrbSense- Multi-sensor monitoring of the urban environment.",
                    "abstract": "UrbSense - Multi-sensor monitoring of the urban environment: potential of the combined use of hyperspectral, thermal and LiDAR sensing technologies for characterization of urban green and the built environment.\r\nAlthough remote sensing is an interesting source for characterising the physical properties of the urban environment, in terms of hydrological or urban heat flux modelling the level of differentiation in functional land cover properties delivered by conventional remote sensing approaches is rather coarse and does not allow a clear parameterisation of pixel components in terms of their biophysical behaviour (e.g. level of permeability, thermal properties). This EUFAR project will explore the potential of the combined use of hyperspectral, thermal and LiDAR sensing technologies for detailed characterization of urban green and the built environment. Specifically it will focus on evaluating the added value of data fusion approaches in solving pending issues such as: *the limitations of current approaches to address problems related to spatial ambiguity and similarity between materials and disturbing effects of illumination and viewing geometry *the optimisation of spectral unmixing techniques for detailed biophysical characterisation of urban areas, and the transferability of these approaches to coarser resolutions. "
                },
                {
                    "ob_id": 19952,
                    "uuid": "06b3af424f6a4045b63cb43396b4b3ce",
                    "short_code": "proj",
                    "title": "BIOHYPE- Biomonitoring of urban habitat quality with airborne hyperspectral observations",
                    "abstract": "Atmosphere and soil conditions largely determine urban habitat quality. Nevertheless, hardly any integrator has been applied, describing urban atmospheric and soil pollution impacts. Biomonitoring of natural vegetation reflects long-term changes of environmental quality, because leaves account for the complex impacts of different air pollutants and accumulate pollution over the growing season. The overall objective was to develop, test and validate a passive biomonitoring methodology based on airborne hyperspectral observations and on a field experimental approach which lapses over several spatial scales as well as over three structural and temporal levels. \r\n\r\nThe specific objectives of this EUFAR project were to:\r\n\r\n-The estimation of the spatial distribution of the overall pollution of soil and air;\r\n-The investigation at sub-leaf level of the spatial distribution, and seasonal evolution of leaf wettability, stomatal characteristics and chlorophyll fluorescence;\r\n-The investigation at leaf level of the spatial distribution and seasonal evolution of specific leaf area, chlorophyll content, chlorophyll fluorescence and the red edge shift;\r\n-The investigation at canopy level of fluorescence and the red edge shift;\r\nto compare and validate hyperspectral airborne measurements with these ground measurements for different species, time and test sites; and\r\n-To describe and optimize a protocol for the estimation of urban habitat quality distribution with a high spatial resolution and based on airborne measurements."
                },
                {
                    "ob_id": 19971,
                    "uuid": "bf783a8bf1734a80a5d9fab28bb3ecbb",
                    "short_code": "proj",
                    "title": "HiLBilly- Hyperspectral imaging of lake biogeochemical properties in optically-complex systems",
                    "abstract": "This EUFAR project aimed to develop new i-water and atmospheric models for hyperspectral remote sensing of lake biogeochemical properties.\r\nThe specific objectives of the HILBilly proposal included: (1) to undertake development and inter-comparison of atmospheric correction models for retrieval of at-surface reflectance in oligotrophic to eutrophic waters and determine associated uncertainty budgets; (2) to measure the variability in the inherent optical properties of the two contrasting lakes; (3) to develop, test and validate algorithms for the retrieval of IOPs and biogeochemical parameters for different lake types using multi-platform (in-situ, airborne and potentially satellite) remotely sensed data and determine the effect of optical variability on algorithm performance; and (4) to use in-situ and airborne hyperspectral data to test biogeochemical algorithms for future satellite platforms including the ESA Sentinel-3 Ocean and Land Colour Imager (OLCI) and Sentinel-2 Multi Spectral Imager (MSI) data."
                },
                {
                    "ob_id": 19953,
                    "uuid": "be1b08fa905149afbef5189ae0f64f88",
                    "short_code": "proj",
                    "title": "DEHESHyrE- Monitoring mass and energy fluxes in a manipulated Mediterranean tree-grass \"Dehesa\" ecosystem through the integration of ground and satellite data with airborne hyperspectral imagery",
                    "abstract": "An intensive global effort has been put into modelling carbon and water exchanges between the terrestrial biosphere and the atmosphere. Keenan et al (2013) have stressed the importance of analysing the ratio of water loss to carbon gain, or water-use efficiency, as this is a key characteristic of ecosystem function. Recent studies have shown the high potential of integrating ground, airborne-based and satellite observations to understand both the processes and the spatial scales governing the water and carbon cycles. However this integration remains a challenge, especially in ecosystems with complex vegetation structure as the \"Dehesa\"; a historical managed and integrated Mediterranean agro-forestry system which occupies large extensions in the Iberian Peninsula. It belongs to the class of tree-grass systems, which represent at least a third of the terrestrial land-surface. Despite their wide distribution, Earth observation systems and associated modelling have been so far poorly adapted to the key structural and functional characteristics of those systems (Pitman 2003). As a consequence, a significant uncertainty and bias in assessments of energy, carbon, water and biogeochemical dynamics has been often observed (Beringer et al. 2011). The objective of this EUFAR project is to better understand the contribution to the fluxes of both tree and grass layers, typical of these ecosystems, and the impact of large scale fertilisation on biophysical and functional properties. Due to the different phenology of tree and grass components, this objective will be achieved by acquiring high spatial resolution airborne hyperspectral optical and thermal data during two different seasons, spring and summer."
                },
                {
                    "ob_id": 19940,
                    "uuid": "741e8e4e27284180ac884a621232ecc8",
                    "short_code": "proj",
                    "title": "T MAPP FP7- Multi spectral aerial photo interpretation for the archaeology of the Tiber Valley in Tuscany (Italy): remote sensing applied to the environmental reconstruction of the ancient landscape",
                    "abstract": "This EUFAR project aimed geoarchaeological researches to apply the reconstruction of the palaeo-drainage and the ancient landscape of the Tiber Valley by utilizing multispectral remotely sensed imageries.\r\nThe project is inserted in a wider work in collaboration with public institutions (Soprintendenza archeologica della Toscana, Comunite  Montana della Val Tiberina). The goal is to apply geo-technologies in order to increment the knowledge about landscape and its transformations in historical and archaeological contest, specifically the integral reconstruction of the environment and the palaeo-environment  of the Tiber valley area in Tuscany. There are many technologies that can help to re-build the settlements and the productive strategies of an archaeological area: among them, the remote sensing, the photogrammetric technique, the geographic information systems (GIS) and the GPS represent widespread surveying tools that gave great realizations.\r\nMulti-spectral airborne data will be used to assess the potential area for locating exposed and known buried archaeological remains, and to delineate subsurface ruins. In addition to mapping, buried archaeology may cause anomalies in the characteristics of the overlying soil and vegetation, which can be detected by remote sensing in the visible and in the near infrared. The presence of buried remains is likely to alter the physical and chemical characteristics of the soil compared with those of the surroundings due to changes in thickness and subsurface water flow.\r\n"
                },
                {
                    "ob_id": 19973,
                    "uuid": "0938bbc620a3476f9bdd476d478c5b73",
                    "short_code": "proj",
                    "title": "AROMAPEX- APEX flights for the AROMAT-2 activity",
                    "abstract": "The AROMAT campaign was held in Romania in September 2014 to test newly developed airborne instruments dedicated to air quality in the context of satellite validation. In particular, two airborne imaging DOAS systems were operated, namely the AirMAP from Uni. Bremen and SWING from BIRA, respectively from the FUB Cessna and from a flying wing UAV (Uni. Galati-Reev River Aerospace). These instruments revealed the NO2 horizontal distributions in the exhaust plume of large power plants near Craiova. The AirMAP/Cessna could also be operated above Bucharest and map the whole city. These two geophysical targets (Bucharest and the power plant) are visible in satellite data (OMI) but present different characteristics: the former is a large extended source with moderate NO2 columns (about 1x1016 molec/cm2), the latter produces very dense and localized plume (about 1x1017 molec/cm2). All airborne instruments were operated successfully during AROMAT, nevertheless, several lessons were learned that called for a follow-up and improved experiment. In particular, it appears scientifically interesting to add a second airborne imager from a manned aircraft. This would increase the possibility of measuring satellite overpasses, which were limited in the two weeks of AROMAT-1 due to weather conditions and technical issues. \r\nThe objective of this EUFAR project is to include the APEX instrument in this AROMAT-2 campaign, which is supported by ESA. APEX is mounted onboard the DLR Do228 aircraft. It will be set in unbinned spectral mode, to map the tropospheric NO2 columns above the same targets as AROMAT-1. The possibility to measure NO2 from APEX has already been demonstrated over Zurich [4]. Moreover, BIRA and VITO, part of the AROMAPEX consortium, are involved in a national project to perform similar APEX measurements over the large Belgian cities. \r\nThe objectives of the AROMAPEX experiment consists in :\r\n(1)\tOperating APEX and AirMAP in formation above the same area in a reasonably short time interval. This is the first opportunity to intercompare two different airborne trace gases imagers and to evaluate their respective performance and limitations. Note that the SWING-UAV measurements will also be compared with APEX and AirMAP, but they suffer from two practical limitations compared to measurements from a traditional aircraft: the area that can be covered is smaller with the UAV and this platform will not be allowed to fly above Bucharest.\r\n(2)\tFlying the two aircraft in different locations and times to increase the area covered and adapt the flight schedule to the overpasses time of two air quality space borne instruments (OMI, GOME2) in the same day. This will enable us, beside the comparison of APEX and AirMAP with satellite data, to study the diurnal variation of NO2. \r\n(3)\tOperating the two aircraft above the power plant, but with the AirMAP set in its UV mode, which is optimal for the detection of SO2. We have already detected elevated levels of SO2 in the plant plume during AROMAT-1. These combined measurements will reveal accurately the SO2 and NO2 columns in the same plume. \r\nThe collected airborne dataset will be compared with coincident UAV based observations and ground-based measurements, including car-based DOAS data, a Pandora system, and NO2/SO2 cameras. "
                },
                {
                    "ob_id": 19972,
                    "uuid": "a36edd0e73c147a4bc7346f27ffb2466",
                    "short_code": "proj",
                    "title": "icare-QUAD- Quality of Airborne Data",
                    "abstract": "This project was a training course in the analysis and assessment of uncertainties and errors in measured properties using various research airplanes and instrumentation.  This was a EUFAR funded training school for new researchers during the International Conference on Airborne Research for the Environment (ICARE) in Toulouse in October 2010. \r\nThe integration of airborne observations involving multiple aircraft needs to consider the true uncertainties of the measurements on board of the different aircraft. In order to assess these errors during in-flight operating conditions, wingtip-to-wingtip comparison flights along constant level runs at various altitudes are a powerful tool. Almost every property of the atmosphere can be observed using different measurement techniques and/or different instrumentation. Assessing combined instrumental uncertainty, as well as temporal and spatial resolution is one of the key issues in data quality evaluation process."
                },
                {
                    "ob_id": 19967,
                    "uuid": "6aa9165d00884acea4bb4812b2f4cc98",
                    "short_code": "proj",
                    "title": "SAVEX-D- Sunphotometer Airborne Validation Experiment in Dust",
                    "abstract": "The main objective of this experiment is the validation of AERONET and SKYNET/ESR ground based sunphotometer retrievals of columnar aerosols properties such as volume size-distribution, single scattering albedo, refractive index, and phase function, by direct comparison with aircraft measurements."
                },
                {
                    "ob_id": 19954,
                    "uuid": "7337723d63f84725b8d2ee0f93f96861",
                    "short_code": "proj",
                    "title": "DeMinTIR- Detection of Mineral Surface Parameter and Vegetation status from Airborne Thermal Infra-Red Imagery",
                    "abstract": "The objective of this EUFAR project, DeMinTIR, was to investigate new earth observation tools to improve monitoring concepts of active mine sites and to contribute to a better understanding of environmental impacts caused by mining activities. A detailed knowledge of the spatial pattern of affected areas and about the local intensity of surface changes as well as the quantification of surface parameters, vegetation health status, soil contamination, water pollution, are necessary steps for improving remediation management of those affected areas. Understanding and monitoring processes in mining areas is therefore a concern to a wider user community, including governmental agencies and local authorities. The dimension is being increasingly recognised and addressed by EU legislation (e.g., Mine Waste Directive, Water Framework Directive). The project aimed at acquiring hyperspectral thermal data over Sokolov mining area, Czech Republic and to process the imagery into a position that soil/rock material and vegetation maps will be generated. Ground truth data will be collected during the overpass (soil samples, vegetation leaves, needles etc). The maps will be used to assess temporally changes within this environment area based on a geo-coded comparison of the current thematic maps with previous information obtained in 2009 via HyEUROPE 2009 mission. It is important to note that the thermal hyperspectral (HSR) remote sensing in general and for the above purpose in particular is not yet developed. Thus a secondary goal of this mission is to open up a new frontier in monitoring this environmental problem and measure the added value to (traditionally used) optical HSR sensors."
                },
                {
                    "ob_id": 19956,
                    "uuid": "665d86cdead240618bcb11f35844594e",
                    "short_code": "proj",
                    "title": "HOLUHRAUN_HAZ- Assessing the hazard and testing our understanding of environmental and geophysical responses from emplacement of a large volume lava flow field",
                    "abstract": "On the 29th August 2014, the Holuhraun fissure, part of a 190km long NNE-SSW trending fissure swarm in eastern Iceland, started erupting. The eruption is feeding an increasingly voluminous and complex flow field that has reached 1.4-2 km3 and is now classified as a flood basalt eruption (>1km3 erupted volume). The lava flows are accompanied by abundant sulphur dioxide (SO2) emissions (max around 100,000 tonnes/day). This is the first opportunity in Iceland to analyse in detail all aspects of a large magnitude fissure eruption and unlike ground-based and space-based monitoring, airborne data has not yet been used to its full potential. Our primary aims are: i) To characterise and quantify the topology, growth and emplacement of a large lava flow field extruded onto a flat flood plain to enhance lava flow models ii) to improve lava cooling models in a hazards context and better understand spatial distribution of gas emissions, iii) to identify how the lava emplacement has affected drainage, especially for potentially catastrophic floods caused by the melting of ice by volcanic activity. We propose acquisition of aerial data including hyperspectral thermal infrared (TIR) and shortwave infrared (SWIR) as well as photography and laser altimetry (LiDAR) of the eruption and the lava flow field. This will enable quantification of the lava volume and thickness at desirable accuracy along with characterisation of surface structures and cooling profiles of a volumetrically significant lava flow field in a rift setting. These airborne data will be complemented by ground-based time-series data."
                },
                {
                    "ob_id": 19958,
                    "uuid": "1396b7a09a984678a319466f7daf55d8",
                    "short_code": "proj",
                    "title": "HYMOSENS2: rivers HYdroMOrphological characterization by high-resolution remote SENSing data",
                    "abstract": "The potentials of Remote Sensing (RS) to characterize river systems is just starting to emerge since high resolution and multi-spectral RS datasets required to characterize relevant channel and floodplain features are only recently available. These datasets are not yet structured at pan-European scale but they could in the near future. For this reason it is strategically important to provide state of art research studies which assess the potentialities of different source of high-resolution RS data for characterizing river systems, in order to be ready in the near future to support managers in planning cost-effective acquisition at regional/national levels, as requested by modern river monitoring activities. This EUFAR project will perform the simultaneous acquisition of hyperspectral data (from 400 to 2500nm, at 1m spatial resolution), high resolution LiDAR (4 to 8 points/m2), sub-meter orthophotos (10-40 cm) and thermal data to enhance the hydromorphological characterization of the Orco (north of Italy) or alternatively the Ain (east of France) rivers, currently included amongst our ongoing research activity. The combination of such sensors would allow us to work with a distributed and continuous mapping of several geomorphic variables, which will enhance our current capability to analyze and predict fluvial processes. The focus would be twofold: 1) Aquatic compartment: mapping of mesohabitats (in-stream hydromorphological units: riffles, pools, glides...) and their physical characteristics (e.g.: water depth, velocity, presence of vegetation...); 2) Riparian compartment: ecological condition of the riparian vegetation (e.g.: physical drivers assessment, species detection as potential indicators of dryness, vegetation height and growing rate, vertical structure characterization)."
                },
                {
                    "ob_id": 19961,
                    "uuid": "1f56a8be6b83436fa5ca8824edef7998",
                    "short_code": "proj",
                    "title": "ICELAND_DEBRISFLOWS- A Study of the Hazard and Geomorphic Change Caused by Debris Flows in Iceland",
                    "abstract": "The aim of this EUFAR project is to better understand the dynamics and behaviour of debris flows through the study of their geomorphometry. This will help to assess the potential hazard posed by these flows and also contribute to a better understanding of their contribution to post-glacial hillslope degradation. \r\nOne of the main risks to population in Iceland, particularly in the fjords, is the action of debris flows. These are mixtures of boulders, sediment and water that surge downslope after prolonged/intense rainfall or sudden snowmelt. Metre-size boulders can be carried in debris flows, and cause damage to property and, in some cases, loss of life. To better understand the risk posed by these flows, both the physics of their motion and the role of the geological setting in initiating slope instability need to be understood. We propose to collect high resolution topographic data in Skagafjordur and Skutulsfjordur, which were previously surveyed in 2007, and from the slopes of western Skagafjordurr. By studying previously surveyed sites, we will measure accurate quantification of sediment movement rates and volumes. By studying the slopes in Skagafjordur, we will be able to compare different geological settings. These data will help us develop a new numerical model of debris flow activity, and help us to understand the long-term slip and creep processes that contribute to slope instability. We will create difference maps (showing deposition and erosion of sediment) for Skagafjordur and Skutulsfjordur and for Skagafjordur we will accurately characterise the morphology for comparison with data from Conway et al (2010) for Skagafjordur and Skutulsfjordur."
                },
                {
                    "ob_id": 19959,
                    "uuid": "998847cad2a54c71ab2a39c0d0735ae0",
                    "short_code": "proj",
                    "title": "HyMountEcos- Hyperspectral Remote Sensing for Mountain Ecosystems",
                    "abstract": "This EUFAR project was focused on the monitoring of highly valuable mountain ecosystems of the Giant Mountains (Karkonosze/Krkonoše) National Park area on the border of the Czech Republic and Poland using hyperspectral data and technologies. To capture the richness of the area nature and to have the possibility to analyse the diversity of the Giant Mountains nature we propose to acquire airborne hyperspectral data on the altitudinal gradient from the submontane, through the montane and subalpine until the alpine belt for the both Polish and Czech parts of the national park that also enables tree foliage ground truth and spectral to compare the ecosystems on the both Polish and Czech sides and possibly to assess also some influence of management practice. The main goals of the project are mountain ecosystems mapping and inventarization, an analyses and evaluation of forest ecosystems conditions/health, an analyses of ecosystems species composition and invasive species introduction and an analysis of soil contamination. Hyperspectral airborne and satellite data (Hyperion) comparison will be provided to evaluate both data types suitability for the research goals, their potential and limitations will be pointed out. Particular results will contribute to the comprehensive assessment of the hyperspectral technologies potential for mountain ecosystems monitoring."
                },
                {
                    "ob_id": 19960,
                    "uuid": "de041886cc694bbea718f4850b78dd74",
                    "short_code": "proj",
                    "title": "HYMOWEB- HYperspectral MOnitoring of the Water and Energy Balance",
                    "abstract": "HYMOWEB is a EUFAR project using hyperspectral data to characterize and monitor the (ecological) status of water and forest ecosystems in the Woluwe valley (Brussels, Belgium).  \r\nMonitoring of water and energy fluxes is a requirement for the assessment of climate and anthropogenic effects on natural ecosystems. These fluxes are the result of the physical functioning and interaction between the soil, vegetation and atmosphere transfers (SVAT). Measurements and models are needed to describe this interaction on different scales. In physically based, distributed hydrological models SVAT’s schemes play an important role. Essential in these SVAT’s are the state of water and energy levels in a spatially distributed way. Due to the high spectral and spatial resolution, imaging spectroscopy is seen as a promising technique for assessing some of the required parameters for the distributed modelling. In particular remotely sensed thermal infrared information has proven to be useful for (1) evapotranspiration estimation and (2) the evaluation of ecosystem physiological activity, functioning and health. However these analyses are often just a snapshot of the situation at a certain moment in time. Therefore a temporal analysis, using several thermal data acquisitions with the same sensor, is proposed. Hyperspectral analysis of diurnal and seasonal variations would significantly improve the understanding of water and forest ecosystem functioning, state and dynamics in the Woluwe valley. In addition the experiment will be closely linked to the on-going HyperEnv project (Hyperspectral remote sensing for environment and water management), which will broaden at the same time the users group and applications, i.e. (1) Land-cover mapping in the urban fringe, (2) hyperspectral RS assimilation for hydrological modeling and (3) characterization of turbidity and aquatic vegetation of pond ecosystems."
                },
                {
                    "ob_id": 19965,
                    "uuid": "f078138f3a5f4a299a2bb3b6508934dc",
                    "short_code": "proj",
                    "title": "MEDhy^2CON- MEDiterranean HYdrological and HYperspectral monitoring of landscape CONnectivity in contrasting Mediterranean insular catchments (Mallorca, Spain)",
                    "abstract": "The production of high-resolution topographic datasets is of increasing interest and application throughout the geomorphic and ecologic sciences. Due to its high spectral and spatial resolution, airborne hyperspectral remote sensing is considered as a promising technique for assessing some of the required parameters for the spatial modelling approach. The simultaneous acquisition of accurate LiDAR data allows retrieving detailed terrain and vegetation information. The main aim of this EUFAR project is (1) to derive spatial information on vegetation, soil and terrain for ecogeomorphological connectivity model input by combined hyperspectral and LiDAR data, (2) to carry out a spectral fingerprinting approach allowing to trace back sources and pathways of sediments and (3) to calibrate and compare the results of modelling with the values obtained from the spatial distribution of isotopic environmental tracers in soils and vegetation as well as the images obtained from Unmanned Aerial Vehicle (UAV) and aircraft. Thus, airborne data acquisition will be accompanied by an extensive field campaign at ground and also air (Unmanned Aerial Vehicle-UAV) levels in which GIS modelling, sediment-tracer techniques and continuous monitoring of water, sediment and associated contaminant fluxes are being used to build a sediment budget of three catchments representative of Mediterranean environments but with contrasting characteristics."
                },
                {
                    "ob_id": 19964,
                    "uuid": "bf113db8dc0147dda0c321fcf215647a",
                    "short_code": "proj",
                    "title": "i-WAKE2- island-induced WAKE dynamics",
                    "abstract": "In geophysics, \"island wakes\" is a term typically used to refer to atmospheric circulations induced by mountainous islands (atmospheric wakes) as well as ocean effects induced by the islands' bathymetry (ocean wakes). In turn, ocean wakes,can be grouped into two main categories (i) wakes induced by atmospheric phenomena (wind wakes a.k.a. €˜warm wakes€™), and (ii) wakes induced by oceanic phenomena. Both atmospheric and oceanic wakes have been the subject of many studies by the scientific community.  Reynolds number theory predict that island wakes may vary from attached vortices to fully turbulent wakes resembling Von Karman Vortex Streets (VKVS). Froude number laboratory studies lead to the development of the concept of the €œdiving streamlines€ in stable flows, whereby by the relation between atmospheric stratification and the height of the mountain lead (or not) to the generation of VKVS. Currently, Madeira Island wakes are being studied using numeric and laboratory models, satellite remote sensing, and in situ observations (Araújo_etal_2010). However, none of the available sampling means can give us a synoptic (i.e., quasi-simultaneous) high-resolution view of atmospheric and oceanic wakes; therefore, this EUFAR project will carry out airborne observations of atmospheric wakes (high-altitude) followed by airborne observations of oceanic wakes (low-altitude), by carrying out measurements in a region where both types of wakes frequently occur. The target region is the lee side of Madeira Island (33N;17W)."
                },
                {
                    "ob_id": 19951,
                    "uuid": "012334ffc6c941fa90b09aa61898488d",
                    "short_code": "proj",
                    "title": "AHSPECT- Agriculture-Health-SPECTrometry",
                    "abstract": "This EUFAR project uses the NERC ARSF aircraft and investigates hyperspectral measurements over agro-forestry areas for landscape assessment of agricultural health, ecophysiology, and satellite product validation. \r\n\r\n"
                },
                {
                    "ob_id": 19935,
                    "uuid": "e3671d66b85f4beb890c0475d6adf73a",
                    "short_code": "proj",
                    "title": "WaLiTemp- Inter-comparison of airborne and ground-based lidar measurements for the characterization of atmospheric water vapour and temperature profiles",
                    "abstract": "This EUFAR project was an inter-comparison of airborne and ground-based lidar measurements for the characterization of atmospheric water vapour and temperature profiles project aimed to provide error estimates for the temperature profiles measured by the ground-based University of BASILicata Raman lidar system (BASIL)\r\nand for the water vapour profiles measured by the H2O-DIAL system (LEANDRE 2) flying onboard the SAFIRE ATR42 research aircraft. \r\n\r\nStarting date: 01-09-2012\r\nEnding date: 05-11-2012 "
                },
                {
                    "ob_id": 19966,
                    "uuid": "0c0c87bf7af647ceb52860280cb5d963",
                    "short_code": "proj",
                    "title": "REFLEX- Regional Experiments For Land-atmosphere EXchanges",
                    "abstract": "Eufar training course. Teaching and training on organizing and conducting a hyperspectral/thermal multi-angular airborne campaign in the framework of multi-scale (\"leaf to ecosystem\") land-atmosphere exchange research "
                },
                {
                    "ob_id": 19968,
                    "uuid": "829eeb1934584b929e1114cb0560df88",
                    "short_code": "proj",
                    "title": "SWAMP- Spectrometry of a Wetland And Modelling of Photosynthesis with Hyperspectral Airborne Reflectance and Fluorescence",
                    "abstract": "This EUFAR training course was to educate and train the early career scientists to plan and conduct an airborne research and (near-)ground validation campaign and how to use the collected data. The training course included an airborne campaign with the APEX imaging spectroradiometer mounted in the DLR Dornier 228 aircraft combined with a concurrent ground campaign and near-ground campaign with small UAV platforms and satellite data acquisitions at the instrumented POLWET wetland study site. All these platforms and sensors were used to determine Earth surface reflectance and fluorescence which play a role in supporting satellite mission design and use (e.g. FLEX) and which to support multi-scale (“leaf to ecosystem”) land-atmosphere exchange modelling studies."
                },
                {
                    "ob_id": 19941,
                    "uuid": "503a0cc9b78248ae81f871b20a9dff5d",
                    "short_code": "proj",
                    "title": "SVALBD_PGLACIAL2- Influence of climate change on paraglacial and glacial landscape evolution in Svalbard",
                    "abstract": "This EUFAR project used hyperspectral instruments on board the NERC ARSF Dornier aircraft to study geomorphology and landscape evolution. "
                },
                {
                    "ob_id": 19950,
                    "uuid": "70f10f55310e4b24a967ec4d61ca9372",
                    "short_code": "proj",
                    "title": "HYPPOS- HYdrodynamic control of Primary Producers in Optically Shallow fluvial lakes",
                    "abstract": "This EUFAR project used the APEX hyperspectral instrument to study aquatic ecology."
                },
                {
                    "ob_id": 19938,
                    "uuid": "513c84cd46f049b6afc5033ceab3c9c5",
                    "short_code": "proj",
                    "title": "ValCalHyp- Validation of the \"Smart Vicarious Calibration\" (SVC) method and the Quality Indicators Protocol of Hyperspectral Data",
                    "abstract": "This EUFAR project aimed at examining the Smart Vicarious Calibration and Quality Indicator approaches and protocols recently developed within the EUFAR JRA2 activity using several Hyperspectral (HSR) sen-sors simultaneously.\r\n"
                },
                {
                    "ob_id": 19939,
                    "uuid": "a55fb32991b14395a752f9a5479e2c5d",
                    "short_code": "proj",
                    "title": "UR-TIR- Urban mapping with airborne thermal infra red imagery",
                    "abstract": "The overall aim of the project is to explore the potential of airborne thermal imagery for the mapping of urban characteristics. Airborne hyperspectral remote sensing is considered very suitable for urban remote sensing. Its high spatial and spectral resolution enables the mapping of the heterogeneous urban landscape with its small objects and large variety of surface covers. However, still difficulties exist in the correct identification of surface materials with similar spectral characteristics in the reflective range of the spectrum. For example bitumen on roofs and asphalt streets have similar spectral signatures. But for many applications it is important to separate between buildings (roofs) and streets. It is expected that thermal spectral information (e.g. emissivity spectra) will improve the separation of spectrally similar materials on different urban objects. Next to emissivity, also the thermal patterns (land surface temperature, LST) measured with a thermal sensor can be used as an additional information layer. LST plays an important role in the urban energy balance and is therefore an important parameter for the assessment of urban climate but also for questions related to energy and sustainable urban development. Answering the question how the emissivity spectra and the land surface temperature can be used to derive meaningful products for urban climate, energy and sustainable development analysis is the topic of this proposed project.\r\n\r\nIn detail the following four objectives are formulated for the proposed project: \r\n1.Gaining knowledge on the thermal spectral signatures of urban surface materials by the combined analysis of field and hyperspectral image spectra in the thermal range of the spectrum.\r\n2.Identify products to support micro climate, energy and sustainable development studies which can be derived with the thermal image data \r\n3.Develop methods to retrieve these products using thermal and hyperspectral data analysis methods.\r\n4.Analysis of dependencies between urban surface temperatures and urban morphology parameters and verify these on a second hyperspectral data set.\r\n\r\n"
                },
                {
                    "ob_id": 19945,
                    "uuid": "8e003eb3be384f81b734bc152fa8b8ab",
                    "short_code": "proj",
                    "title": "SEDMEDHY- Soil Erosion Detection within MEDiterranean agricultural areas using HYperspectral data",
                    "abstract": "This EUFAR project aimed to detect soil erosion processes by applying airborne hyperspectral  and LIDAR remote sensing data within Mediterranean agricultural areas.\r\n"
                },
                {
                    "ob_id": 19969,
                    "uuid": "f278e64894d8472c8bbb975205371af3",
                    "short_code": "proj",
                    "title": "TETRAD- Training & Education for Turbulence Research",
                    "abstract": "EUFAR Training Course - Training & Education for Turbulence Research via Airborne Data (TETRAD) using SAFIRE's ATR42 aircraft Hyeres, France, held 10-18 Sept 2010\r\nThe focus of the school and of the related experiments is to train and educate students about turbulence features and cloud microphysics in, and in proximity of, liquid water clouds. During the school time (September), and within the flying distance of the aircraft (ATR42) from Toulon-Hyeres Airport,  low-level clouds and/or cumulus convective warm clouds, mainly due to orographic effects were observed. These clouds are well suited for the scientific aims of the school. The experiments, that were conceived for education purposes and not for research, involved measurements in cloudy boundary layer, and measurements at the base, inside and at the top of cumulus clouds. The goal was to highlight characteristic features of the turbulent fields inside and outside observed clouds (temperature, air flow fluctuations, humidity), and features of cloud microphysics (liquid water content, droplets concentration and size distribution). Limitations of turbulence measurements from the board of the aircraft were discussed - e.g. poor resolution of the velocity fluctuations, particularly when compared to microphysical measurements, difficulties in interpreting data from sensors not closely collocated-, as well as it will be tried to identify regions of homogeneous and inhomogeneous mixing.\r\n"
                },
                {
                    "ob_id": 19947,
                    "uuid": "8909d33e83154b259216260ca07f476d",
                    "short_code": "proj",
                    "title": "MORE- Marine Ozone and Radiation Experiment",
                    "abstract": "This EUFAR project investigated ozone and actinic radiation in a marine and rural coastal area.\r\nThe aim was  to investigate the vertical distribution of ozone and related photochemical compounds in a rural coastal zone and over the open sea using  airborne and ground based measurements in conjunction with radiative transfer model and a columnar chemical box model one way coupled with the Tropospheric Ultraviolet-Visible radiative transfer model (TUV; Madronich, 1987) in order to perform a radiative transfer and chemical closure experiment, to compare observed and estimated photolysis rates for NO2 and O3 and to study the production/losses of ozone above and inside the coastal and marine boundary layer. In this context the impact of clouds and different aerosols types (marine and continental, biogenic and Saharan origin) on the radiative properties of the atmosphere will be also investigated."
                },
                {
                    "ob_id": 19943,
                    "uuid": "571463c25b5b467d96f42300f9db2b66",
                    "short_code": "proj",
                    "title": "SRMGlaciers- Geological and glaciological controls on ice flux to the ocean from Sør Rondane Mountains, East Antarctica",
                    "abstract": "This EUFAR project looked at ice-sheet evolution over the Quaternary and the sensitivity of the ice sheet to possible changes in atmosphere and ocean in East Antarctica.\r\n\r\nThe ultimate goals of this project were(i) to decipher regional ice-sheet evolution over the Quaternary and (ii) to examine the sensitivity of the ice sheet in this area to possible changes in atmosphere and ocean. The observational goals of this project were surface and bed topography, englacial structures (i.e. internal reflecting layers, if existing) as well as radar power returned from within and beneath the ice (a proxy of basal water). Since the proposed study area has extended crevassed zones, ground access to these areas is impossible for safety reasons. Using airborne data together with supplemental data collected by other projects, will enable constraints to ice-flow models to clarify geological controls on ice flow, dynamic coupling of adjacent fast-flow features, and ultimately examine their effects on magnitudes and timing of ice flux to the ocean for a range of external forcing. \r\n"
                },
                {
                    "ob_id": 19946,
                    "uuid": "33b7b89495b04899a11e4c1faa402124",
                    "short_code": "proj",
                    "title": "RAIN4DUST - Contribution of flash floods to the variability of dust emission in the Sahara",
                    "abstract": "This EUFAR project was an Investigation of active dust sources located within the mountain foothills over the Sahara. The aims were:\r\n1.High-resolution characterisation of dust sources in the foothills of the Saharan Mountains using air-borne observations of emission in progress.\r\n2.Identification of significant rainfall and flash flood events in selected source areas using space-born ground radar and rain radar data. \r\n3.Assessment of the importance of the associated pluvial sediment supply for variations in dust source activity on time scales from weeks to years.\r\n4.Use these results to aid the discussion of the long-standing problem of interannual variability of dustiness and the representation of soil processes in numerical dust models.\r\n\r\n"
                },
                {
                    "ob_id": 25116,
                    "uuid": "cf99ebfb72bc459e8e9214b04460555c",
                    "short_code": "proj",
                    "title": "ICARE-2 International Conference on Airborne Research for the Environment",
                    "abstract": "The 2nd International Conference on Airborne Research for the Environment (ICARE 2017) was held at DLR - the German Aerospace Research Center, in Oberpfaffenhofen, from 10 to 13 July 2017. Mainly funded by EUFAR (under the EC's FP7 framework programme), the conference received significant in-kind and cash contributions from DLR and ESA respectively"
                },
                {
                    "ob_id": 25114,
                    "uuid": "09d7fd5586bd446aab8947274b15168f",
                    "short_code": "proj",
                    "title": "STANCO School and Training on Aircraft New and well-established techniques for Atmospheric Composition Observation",
                    "abstract": "STANCO - School and Training on Aircraft New and well-established techniques for Atmospheric Composition Observation was a summer school funded by EUFAR in July 2017 at the University of Cambridge with flying on the FAAM BAe-146 aircraft based at Cranfield Airport.   Flights used a scientific payload identical to most chemical campaign that includes O3, NOx, NOy (core chem instruments), CO2 and CH4 (Fast Greenhouse Gas Analyser), NO2, RO2NO2, RONO2 and HNO3 (LIF instrument), HNO3, HCN (CIMS instrument). The course was aimed at early career researchers and provided an introduction to airborne measurements, and to demonstrate how to use calibration data to retrieve atmospheric chemistry measurements.  As the calibration of instruments is critical for atmospheric chemical species measurements, so detailed explanation of the main procedures for most of the instruments was given during the lectures followed by calibrations exercises on the ground and inflight exercises with instruments that need real-time calibrations. \r\n"
                },
                {
                    "ob_id": 25441,
                    "uuid": "54395a1809e54676adbdefa6df24b1fe",
                    "short_code": "proj",
                    "title": "RS4forestEBV-A - Airborne remote sensing for monitoring essential biodiversity variables in forest ecosystems-A",
                    "abstract": "The aim of this EUFAR training course is to  develop the special skills required for processing the new generation of airborne and satellite hyperspectral, thermal and LIDAR data for retrieving essential biodiversity variables in forest ecosystems. Forest management requires the use of comprehensive remote sensing data which enable monitoring biodiversity changes in response to calamities such as bark beetle infestation and other climate change induced phenomena. They also enable to predict the long-term impact of management decisions. Although the benefits of remote sensing for monitoring vegetation are well recognized, yet accurate and site specific monitoring of many essential biodiversity variables in forest ecosystems remain elusive.  In forests, bidirectional effects mainly influence hyperspectral airborne signals and directly affect the accuracy of derived variables. Simultaneous acquisition of thermal, VIS/NIR hyperspectral and LIDAR data (See RS4forestEBV-B) allow accurate retrieval of vegetation parameters (e.g., LAI, chlorophyll, SLA, nitrogen, water content, species occurrence and 3D vegetation structural attributes) which have been recognized as essential biodiversity variables by GEO-BON and are crucial in forestry and national park management practices. Several ongoing projects will support this training course including the ESA Innovator III project (RS4EBV). The participants will be trained in remote sensing algorithms and retrieval of essential biodiversity variables. The BIOKLIM project which is coordinated by Bavarian Forest National Park (BFNP), will provide data and expert knowledge on forest structure, biodiversity and management issues as well as facilitate access to the field sites, flux towers and field data collection techniques.\r\n\r\n"
                },
                {
                    "ob_id": 25450,
                    "uuid": "3540c3bcdaa0432686337aac6919ec9c",
                    "short_code": "proj",
                    "title": "MICWA: Mid-level Inversions and Cloudiness in southern West Africa",
                    "abstract": "Climate models underestimate mid-level cloudiness with important ramifications for the radiation budget, especially in tropical latitudes. In the area of the West African monsoon the frequency and amount of such clouds is substantial, especially at night. Part of the reason of the nighttime maximum is that mid-level clouds are extensively generated in the stratiform part of Mesoscale Convective Systems (MCSs) whose activity peaks at night in the region. Other potential genesis mechanisms of altostratus are weak synoptic lifting (e.g. by lower tropospheric vortices) in a nearly saturated mid troposphere, a situation that most frequently occurs at the peak of the monsoon season in  July-August near the Guinea Coast, or mid-level detrainment from developing cumulus congestus and cumulonimbus clouds. The latter two genesis mechanisms are aided by a mid-level (500-600 hPa) inversion or at least stable layer that is often visible in radiosonde ascents in the Guineo-Sahelian zone (5-12°N). To the best of the applicants’ knowledge, the causes of this inversion have not been explored yet. Since at northern Sahelian latitudes, the mixed layer at the end of the day reaches altitudes of about 5km, the stable layer atop this mixed layer may simply be advected southward by the mid-level return flow. However, an elevated melting-layer inversion, as often present during the DYNAMO experiment over the Indian Ocean (R. Johnson, personal communication), or mid-level subsidence, forced by deep convection to the north, are alternative, but not necessarily independent, possible explanations. \r\n\r\nIn spite of its potential impact on regional climate, there exist no comprehensive in-situ observational dataset of mid-level cloud environments to date. The MICWA project aims at filling this gap. The experimental work here will be developed within the EU funded DACCIWA (Dynamics-Aerosol-Chemistry-Cloud Interactions in West Africa) project. The  EUFAR TA MICWA project is concentrated on dynamic and \r\nthermodynamic genesis and analysis processes of mid-level cloud decks, a scientific topic not in the focus of DACCIWA. Rather, DACCIWAs focus is on aerosol-chemistry interaction with low, warm clouds. The DACCIWA field campaign is planned for June/July 2015 and will involve three research aircraft. The aircraft detachment base will be selected among one of three coastal cities (Accra, Loma or Cotonou).\r\n\r\nThe objective of the EUFAR project Mid-level Inversions and Cloudiness in southern West Africa (MICWA) is to collect a dataset, against which the above-mentioned theories and DACCIWA model simulations can be tested. For example, the presence of dust aerosols would indicate a provenance of the stable layer from the Sahel. High-resolution structural properties of the mid-level clouds, vertical profiles of temperature, humidity, wind, momentum and turbulent heat fluxes, and radiation measurements shall help to shed light on mechanisms that disintegrate or maintain stratus decks"
                },
                {
                    "ob_id": 25449,
                    "uuid": "9e91ae1fdc72401ebef1df11a6bfb52e",
                    "short_code": "proj",
                    "title": "OLACTA-2: Observing the Low-level Atmospheric Circulation in Tropical Atlantic",
                    "abstract": "The EUFAR  OLACTA-2 project aimed to obtain a definitive dataset on the  low-level atmospheric circulation (LLAC) in the  Gulf of Guinea (GG), based on a suite of state-of-the-art in situ and remote sensing instruments intended to document the dynamics, thermodynamics and composition of the LLAC together with sea surface properties and near surface turbulent fluxes.\r\nThe low-level atmospheric circulation (LLAC) over the Gulf of Guinea (GG), which develops in response to an equatorial upwelling and resulting sea-surface temperature (SST) gradients, is most intense around the time of the monsoon onset (June/July). This has strong implications on air-sea interactions, moisture transport, cloud development, dust aerosols re-circulation and pollution ventilation in the coastal areas of southern West Africa (SWA). Most of the knowledge on this circulation has been gained through NWP and mesoscale models. To date, there exist no comprehensive observational dataset against which the models simulations can be challenged. Yet, most climate and regional models show large biases in simulated surface winds and SST in the Eastern Equatorial Atlantic. It is likely due to a mis-representation of the regional ocean-atmosphere couplings.  Two identical meridional flights between coastal SWA and 2°N are planned (once the equatorial cold tongue is established) for a total of 10 hours of flying time. This project  took place in the framework of the EU funded DACCIWA project in June/July 2016 in SWA. The project will also serve the purpose of the EU funded PREFACE project which aims at advancing knowledge on Tropical Atlantic climate."
                },
                {
                    "ob_id": 25448,
                    "uuid": "d90aa427c5c54ae38063211e8adb74dc",
                    "short_code": "proj",
                    "title": "MASOMED: MApping SOil variability within rainfed MEDiterranean agroecosystems using hyperspectral data",
                    "abstract": "This EUFAR project was part of an overall research aimed at developing an integrated methodology using hyperspectral optical, thermal and lidar data combined with SAR single and full polarimetric data to map soil resources and land management activities. As a follow-on to the SEDMEDHY proposal that successfully acquired hyperspectral and lidar data in the dry season (summer 2011) and allowed to develop a methodology to map erosion stages (Schmid et al, 2016), the present study aims at mapping the soil variability during the growing season and associated vegetation stress indicators within the rainfed Mediterranean agroecosystems based on hyperspectral optical and thermal data.\r\n\r\nFor this, the following scientific issues were pursued:\r\n1) determining soil variability throughout the study area using the full potential of visible, near infrared, and thermal infrared hyperspectral CASI 1500i and AHS data; \r\n2) assessing the spatial distribution of \r\nthe different rainfed agroecosystems according to abiotic and biotic properties; \r\n3) relating vegetation stress to soil degradation processes and conditions; \r\n4) detect changes related to soil erosion of soil surface covers by comparing current conditions with those identified in previous work (Schmid et al., 2016), and developing a decision tree methodology to classify the soil and crop cover related to soil erosion processes at the pixel level; \r\n5) assessing the variability of soil properties at different spatial scales with the aim of testing the transferability of the methods used to future hyperspectral space-borne sensors such as EnMAP, \r\nHISUI, PRISMA, SHALOM; \r\n6) integrating existing space-borne optical, thermal infrared and radar sensors such as Landsat 8, ASTER, Copernicus Sentinel 1 and 2 and linking to Radarsat2 data to enhance soil and vegetation cover information using time series. \r\n\r\nThe latter issue aimed to study the potential of combining multi-source data (optical, radar, thermal) to assess and spatially map soil quality and crop stress, and to test and develop a simplified methodology that can determine soil and vegetation cover properties associated to soil degradation processes based on current satellite sensors. Data from space-borne sensors at the time of the hyperspectral acquisition as well as data sets from other selected dates during the period of the crop cultivations were used. Field work obtained spectral data with field spectroradiometers and a thermal radiometer (multispectral CIMEL 312-2) as well as field measurements of soil and vegetation parameters and agricultural activities. An integrated methodology was implemented to incorporate the data obtained with the different sensors at the different spatial and spectral resolutions and compiling a database based on GIS technologies. Hyperspectral data obtained with the CASI 1500i and AHS sensors will be used to determine land cover and soil and vegetation characteristics associated to soil\r\n"
                },
                {
                    "ob_id": 11988,
                    "uuid": "c174d29d15601fc93579631693d72097",
                    "short_code": "proj",
                    "title": "LADUNEX: Lagrangian Dust Source Inversion Experiment",
                    "abstract": "LADUNEX  was a EUFAR funded project using the FAAM BAe-146 aircraft to measure and model the atmospheric transport of desert mineral  dust in the Sahara to provide dust emission estimates from a Lagrangian inversion method complementing the FENNEC campaign."
                },
                {
                    "ob_id": 25532,
                    "uuid": "2fee846d424345e99bab8bbb87278330",
                    "short_code": "proj",
                    "title": "NAWDEX-Influence: The North Atlantic Waveguide and Downstream Impacts Experiment - Influence on weather in western Europe",
                    "abstract": "The EUFAR NAWDEX-Influence project aimed to increase physical understanding and quantify the effects of diabatic processes on disturbances to the jet stream, their influence on downstream propagation across the North Atlantic, and consequences for high impact weather in Europe. This was part of a much bigger NAWDEX project."
                },
                {
                    "ob_id": 25530,
                    "uuid": "42ad7746a57c4c8993f9f308bb08b2fa",
                    "short_code": "proj",
                    "title": "CIIMA: Evaluation of ground-based lidar methodologies for continuous profiling of Cloud condensation and Ice nuclei concentrations in the Mediterranean",
                    "abstract": "The EUFAR CIIMA project performed continuous ground-based lidar measurements in the ACTRIS core stations of Finokalia in Crete and Limassol in Cyprus, accompanied by sunphotometric and surface in-situ measurements. EUFAR provided airborne in-situ profiling of CCN number concentration and particle size distributions and advanced microphysics using the DLR Falcon-20 aircraft.\r\n"
                },
                {
                    "ob_id": 25531,
                    "uuid": "6b366a55917543f6aadfdc842ea82951",
                    "short_code": "proj",
                    "title": "FOAM - Silesia: Flight campaign over Silesian Coal District to quantify the methane emission rates from urban and biogenic sources",
                    "abstract": "The EUFAR FOAM-Silesia project aimed to verify and improve the knowledge on the spatial distribution of individual methane sources used as input for the model (including biogenic and anthropogenic sources) and to substantially improve model parametrization of short range mixing in the lower atmosphere under different boundary layer conditions."
                },
                {
                    "ob_id": 25533,
                    "uuid": "30ecf53e8c5a4977810b24a3ce90ad90",
                    "short_code": "proj",
                    "title": "DoGMA: Evaluating Dust forecasting over the eastern Mediterranean Area",
                    "abstract": "The EUFAR DOGMA project aimed to investigate the properties of dust clouds in the Mediterranean region using airborne in-situ measurements on board the DLR Falcon aircraft.  \r\nDust is the most abundant aerosol at the greater Mediterranean region. Apart from the air quality implications, dust is also a significant climate and weather\r\nmodulator. Dust aerosols are very efficient ice nuclei (IN), and they play an important role in heterogeneous cloud glaciation. Introducing a dust based ice\r\nnucleation parameterization in NMM-DREAM model allows the calculation of dust IN activation and the related impacts in cloud properties. However, in order to\r\nproperly assess the modification of cloud properties due to dust contamination one should first evaluate the model performance with regards to the basic\r\nparameters that participate in these processes. \r\nThe main objectives of this project are to \r\n1. Measure temperature and humidity profiles inside the elevated dust layers\r\n2. Examine the concentration of airborne dust particles and their size distribution (fine to coarse ratio) over the greater E Mediterranean region.\r\n3. Assess the accuracy of dust concentration forecasting in NMM-DREAM and investigate the ice glaciation capabilities of the model.\r\n\r\nThe methodology proposed to carry out the experiment is mainly based on observations of Saharan mineral dust plumes. During spring, these plumes are usually\r\naccompanied by cloud formations often leading to stormy weather and severe precipitations including wet deposition of dust. These clouds are affected by dust\r\nand their properties are altered depending on dust concentration and sizes. Aircraft measurements of the meteorological and aerosol parameters inside the dust\r\nlayers will be used to evaluate the performance of NMM-DREAM forecast fields. Model interpretation and assessment of the simulations will be performed\r\ntogether with space-borne and aircraft lidar profiles, ground photometers and ground chemical/size characterization of dust.\r\nThe anticipated outputs from this work include the improvement of our knowledge on dust processes and the validation of dust modeling results that will increase\r\nour confident on these products over this particular area. "
                },
                {
                    "ob_id": 25546,
                    "uuid": "b17df51acf044cbfb1e7f359aa38e934",
                    "short_code": "proj",
                    "title": "arsf GB12_04 project",
                    "abstract": "arsf GB12_04 project - more details to follow"
                },
                {
                    "ob_id": 25545,
                    "uuid": "b7e1b3005c86436d9f366f789a890581",
                    "short_code": "proj",
                    "title": "arsf GB03_01 project",
                    "abstract": "arsf GB03_01 project - more details to follow"
                },
                {
                    "ob_id": 25560,
                    "uuid": "5b87bd051851480db16ef28b0c0eb0fc",
                    "short_code": "proj",
                    "title": "arsf GB12_06 project",
                    "abstract": "arsf GB12_06 project - more details to follow"
                },
                {
                    "ob_id": 24356,
                    "uuid": "58d7292525994719b150bf5a3c2c2bc1",
                    "short_code": "proj",
                    "title": "IMROM- Environmental Impact Monitoring of mineral resources exploitation at ROsia Montana mining site",
                    "abstract": "The objective of this EUFAR study was to assess the environmental impact of mining activities in Rosia Montana (RM) (central Romania) based on airborne hyperspectral images. The advantage of airborne data is that a larger area can be monitored compared to in-situ measurements. The main focus lies on the monitoring of vegetation stress along acid mine drainage (AMD) pathways. Thermal infrared bands help investigating whether vegetation stress is present and to monitor soil moisture, which then can be related to changing ground water conditions. The results obtained from this study were used to validate the results obtained from analyzing WorldView-2 images from July 2010 and 2011. WorldView-2 satellite sensor was only recently launched and is the first satellite that offers 8 spectral bands at 2 m spatial resolution (multispectral mode) and 0,50 m spatial resolution in panchromatic mode. Another objective was to develop and test an unmixing based data fusion algorithm (Zurita-Milla, 2008) for airborne hyperspectral WorldView-2 data fusion and to assess the added value of the fused data set for environmental impact monitoring of mining activities. During the overflight in-situ measurements were performed and samples  collected for lab analysis. These measurements were used to correlate e.g. reflectance with Chl-a in the leaves. Based on the airborne study the spatial extent of contaminated soil, water and vegetation parameters can be assessed which are crucial information for policy makers and environmental managers for defining future remediation and monitoring actions in the RM area."
                },
                {
                    "ob_id": 25115,
                    "uuid": "925f0aa4f89e483b9e79be8397343fbd",
                    "short_code": "proj",
                    "title": "EmeRGe-EU - Effect of Megacities on the Transport and Transformation of Pollutants on the Regional to Global Scales  EUFAR project",
                    "abstract": "EmeRGe-EU is a project involving the DLR HALO aircraft based at Oberpfaffenhofen, Germany investigating experimentally the patterns of atmospheric transport and transformation of pollution plumes originating from Eurasia and both tropical and subtropical Asian megacities and MPCs.  Intercomparison flights took place with the FAAM BAe-146 aircraft during July 2017."
                },
                {
                    "ob_id": 25642,
                    "uuid": "13ba7d3285af41a2bca452636aa3188e",
                    "short_code": "proj",
                    "title": "arsf EU12_12 project",
                    "abstract": "arsf EU12_12 project - more details to follow"
                },
                {
                    "ob_id": 25578,
                    "uuid": "de719c0087d24e4d98ef4674e2a20ccb",
                    "short_code": "proj",
                    "title": "arsf GB12_07 project",
                    "abstract": "arsf GB12_07 project - more details to follow"
                },
                {
                    "ob_id": 25606,
                    "uuid": "a8ad300e751c45b3a9b70552c6a8dfe7",
                    "short_code": "proj",
                    "title": "arsf GB12_05 project",
                    "abstract": "arsf GB12_05 project - more details to follow"
                },
                {
                    "ob_id": 25588,
                    "uuid": "ee4d209c396b4dbaa01b608ca74427c3",
                    "short_code": "proj",
                    "title": "arsf RG12_10 project",
                    "abstract": "arsf RG12_10 project - more details to follow"
                },
                {
                    "ob_id": 25626,
                    "uuid": "33f38d51a5d44b0192429dcaebad2245",
                    "short_code": "proj",
                    "title": "arsf EU09_06 project",
                    "abstract": "arsf EU09_06 project - more details to follow"
                },
                {
                    "ob_id": 25616,
                    "uuid": "3f60acf557a742f9b353d3ce25950bda",
                    "short_code": "proj",
                    "title": "arsf ET12_18 project",
                    "abstract": "arsf ET12_18 project - more details to follow"
                },
                {
                    "ob_id": 25632,
                    "uuid": "6e9ce49e32c54690bbb680f0d47a104e",
                    "short_code": "proj",
                    "title": "arsf EM10_02 project",
                    "abstract": "arsf EM10_02 project - more details to follow"
                },
                {
                    "ob_id": 25652,
                    "uuid": "68e691333594445a93d94bf9acc5bf94",
                    "short_code": "proj",
                    "title": "arsf ET12_17 project",
                    "abstract": "arsf ET12_17 project - more details to follow"
                },
                {
                    "ob_id": 25662,
                    "uuid": "cc061b3167f34371989b7b265f855c77",
                    "short_code": "proj",
                    "title": "arsf BGS12_01 project",
                    "abstract": "arsf BGS12_01 project - more details to follow"
                },
                {
                    "ob_id": 25672,
                    "uuid": "22214cf7d4894510b452ca42539ce121",
                    "short_code": "proj",
                    "title": "arsf ET12_14 project",
                    "abstract": "arsf ET12_14 project - more details to follow"
                },
                {
                    "ob_id": 25678,
                    "uuid": "ade94ebcdcd4494b98f7ca7d44561408",
                    "short_code": "proj",
                    "title": "arsf BGS11_01 project",
                    "abstract": "arsf BGS11_01 project - more details to follow"
                },
                {
                    "ob_id": 26040,
                    "uuid": "77892d10510b4087aa135ec30a7fdd85",
                    "short_code": "proj",
                    "title": "COOLAPEX: Towards assessment of water quality of the Curonian Lagoon using hyperspectral APEX sensor: optical water properties, phytoplankton and macrophytes.",
                    "abstract": "This EUFAR project performed an assessment of water quality of the Curonian Lagoon using hyperspectral APEX sensor: optical water properties, phytoplankton and macrophytes.  \r\n\r\nThe Curonian Lagoon is a large, shallow (total area 1584 km2, mean depth 3.8 m), mainly freshwater estuary located in the south-eastern part of the Baltic Sea. It\r\nis divided between Lithuania (northern part, 26 % of the lagoon area) and the Russian Federation. The Curonian Lagoon provides significant ecological services\r\nto society: aquaculture, fishery, recreation, water supply and transport. This aquatic system plays an important role in carbon and other global biogeochemical\r\ncycles. The Curonian Lagoon is naturally productive water basin that has been impacted by the undesired processes of both eutrophication and climate change.\r\n\r\nNowadays the lagoon is considered to be hyper-eutrophic with recurring spring diatom blooms followed by summer cyanobacteria blooms which are a major concern in this region because the chlorophyll-a concentration can be extremely high (up to about 200 mg m-3) and, under specific climate conditions, can be associated with a surface accumulation of algae. \r\nCurrently, our ability to monitor such a large ecosystem is limited by a number of in situ stations, samples and scarce collaboration with neighboring country. Satellite remote sensing is a valuable asset for monitoring such a large water bodies for various purposes, however, this is not possible in this case due to unsuitable spectral resolution, and the airborne hyperspectral sensor APEX will be used instead. \r\n\r\nThe choice of the Curonian Lagoon as one of our dedicated study sites is strongly based on the availability of the existing field radiometric measurements, in situ data, available facility for the field campaign that will be funded by FP7 INFORM project. The field, airborne and satellite data collected during this field campaign will produce one of the most extensive, datasets for optically complex waters and an invaluable resource for the scientific community. The level-1b data from APEX will be processed to water-leaving reflectance by VITO. APEX is the only sensor for which water-leaving reflectance products are provided operationally in EUFAR.\r\n\r\nThe objectives of this project are:\r\n• to test and validate algorithms for retrieval of the different main phytoplankton functional types, the absorption coefficient of yellow matter, phytoplankton primary\r\nproduction, spatial distribution and macrophyte functional groups;\r\n• to evaluate the spatial and temporal dynamics of phytoplankton and correlate this intraday variability with meteorological conditions during the study period, with\r\nthe final goal of evaluating their influence on phytoplankton growth dynamics;\r\n• to extend ongoing activities of FP7 INFORM project on the development of specific algorithms that will be validated using field radiometric measurements and\r\nhyperspectral data simultaneously acquired during field campaign carried out in the Curonian Lagoon;\r\n• to validate Sentinel-2 and Sentinel-3 (in case it will be fully operational) data with collected in situ and APEX data;\r\n• to improve the knowledge of instrumentation currently available for monitoring activities;\r\n\r\n"
                },
                {
                    "ob_id": 20356,
                    "uuid": "0d2321cdec9746e8a33ae547992bc7f9",
                    "short_code": "proj",
                    "title": "VESSAER - VErtical Structure and Sources of AERosols in the Mediterranean Region",
                    "abstract": "VESSAER - VErtical Structure and Sources of AERosols in the Mediterranean Region.\r\nThe aim of this EUFAR project was to understand climate effects of aerosols in the Mediterranean region,  to better understand the sources and evolution of aerosols. Ground-based observations do not provide the full picture as in-situ measurements in the vertical dimensions are lacking. In addition, active and passive remote sensing instrumentation, such as lidars and AERONET/PHOTON sun photometers, need in-situ measurements of aerosol properties to expand their measurements to larger domains.\r\n\r\nThis experiment complements existing ChArMEx and HyMeX  activities supported by the MISTRALS program, which are the target of many European research institutes in 2012 and 2013 (ChArMEx: http://charmex.lsce.ipsl.fr/ and HyMeX: http://www.hymex.org/) \r\n\r\nThe project used airborne measurements together with ground station observations at Ersa (on Cape Corsica) and aerosol lidar measurements (south of Bastia) with the following scientific goals:\r\n\r\n- Investigation of local vs long-range sources of aerosols and CCN (marine, anthropogenic and African dust) and their vertical stratification in the lower troposphere,\r\n\r\n- Use of aerosol hygroscopicity as a function of altitude to study evolution and ageing due to atmospheric processing in the boundary layer,\r\n\r\n- Coupled in-situ airborne measurements with ground-based lidar to determine aerosol direct radiative impacts over a larger spatial scale.\r\n\r\n- Use  of ozone as tracer of long-range transport of polluted air masses form the continent."
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                    "ob_id": 6382,
                    "uuid": "d40e4067ae0121b31bb1ba57e04707de",
                    "short_code": "coll",
                    "title": "EUFAR: Airborne in-situ atmospheric and hyperspectral data collection from funded flight campaigns",
                    "abstract": "European Facility for Airborne Research in Environmental and Geo-sciences 2 (EUFAR 2) is an Integrating Activity of the 7th Framework Program of the European Commission following three previous contracts under FP5, FP6 and FP7, bringing together 24 European institutions and organisations involved in airborne research, operating 18 instrumented aircraft and providing access to 3 hyperspectral instruments.\r\n\r\nTo facilitate wide access and to maximise the potential of the valuable scientific data collected during the EUFAR FP7 projects (2008-2018), data are available through a single archive at BADC. The data itself is stored either in an accessible online archive operated by the aircraft operator (eg NERC-ARSF, FAAM-BAE-146) or lodged in the BADC EUFAR archive.\r\n\r\nData include measurements by airborne in situ atmospheric instuments and hyperspectral instruments operated on board the aircraft of the EUFAR fleet during projects funded under the transnational access part of EUFAR and during training events. The data available will vary from aircraft to aircraft depending on the instruments on board and the aims and flight patterns for each project.\r\n\r\nDuring the first FP7 project (EUFAR 2008-2013) thirteen aircraft and one additional instrument (APEX) were involved in 43 projects including a collaboration of data from volcanic ash flights following the eruption of the Icelandic volcano, Eyjafjallajokull, in April 2010. These projects are A-NEW, ACEMED, ADDRESSS, AEGEAN-GAME, AIMWETLAB, AIRES-CZM, ALISA, ARMSRACE, BIOHYPE, BLLATE1, BLLATE2, DeInVader, DeMinTIR, DRAMAC, EDOCROS, Eyjafjallajokull, GEOMAD, HABlakes, HYMEDECOS-Erosion, HyMedEcos-Gradients, HyMountEcos, HYMOWEB, HyperForest, HYPERSTRESS, i-WAKE2, ICARE-QAD, ICELAND_DEBRISFLOWS, IMROM, LADUNEX, MORE, RAIN4DUST, REFLEX, SEDMEDHY, SONATA, SRMGlaciers, SVALBD_PGLACIAL2, T-MAPP-FP7, TETRAD, UR-TIR, ValCalHyp, VESSAER, WaLiTemp. All expected data from these flight have now been archived.\r\n\r\nEUFAR2 (2014-2018) is collecting data for these projects: AHSPECT, DEHESHYRE, HIDHAZ_N_ICELAND, HILBILLY, HOLUHRAUN_HAZ, HYMOSENS2, HYPPOS, ISOTHERM, MEDHY2CON, SAVEX, SWAMP, URBSENSE. More will be added as they become available."
                }
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            "uuid": "1cf1b070e2104f782f54bfaac14ea112",
            "short_code": "proj",
            "title": "ECMWF Trajectories project",
            "abstract": "These data are produced at the ECMWF as part of a special project run by Prof. Brian Hoskins and Dr. Paul Berrisford of Reading University. The project is part of the Joint Diagnostics Project (JDP) between Reading University, The UK Meteorological Office and ECMWF (European Centre for Medium Range Weather Forecasts). The aim of the project is to provide a database of routine back trajectories.",
            "publicationState": "published",
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                    "uuid": "479ba864fcfc46b4f5a9059e91d7e84d",
                    "short_code": "coll",
                    "title": "Ensemble of 5 Day Air Parcel Back Trajectories Computed by the European Centre for Medium Range Weather Forecasting (ECMWF)",
                    "abstract": "This dataset collection contains datasets of 5 day back trajectories have been computed on a routine basis using analyses from the European Centre for Medium Range Weather Forecasting (ECMWF). The three components of the wind and surface pressure over three launch grids covering the UK, the mid-Atlantic storm track region and the eastern USA, plus back trajectories from field campaign instrument sites were used to output datasets consisting of latitude, longitude and pressure of the trajectory every 30 minutes."
                }
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            "uuid": "e8255939b70e5c830e7b95a40958f265",
            "short_code": "proj",
            "title": "Met Office Land Surface Stations Database (1900-2000)",
            "abstract": "Historic land surface observations database from the Met Office station network. The database contains data for the period 1900 to 1999 for daily measurements. Hourly observations are for now available back to January 1985. The database comprises daily and hourly weather measurements, hourly wind parameters, max and min air temperatures, soil temperatures, sunshine duration and radiation measurements and hourly and daily rain measurements. This database has been SUPERSEDED BY THE NEW MIDAS Land Surface Stations database (1853-current). It has been retained for reference purposes. Users with access to the MIDAS Land surface stations dataset automatically have access to this dataset as well.",
            "publicationState": "published",
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                    "short_code": "coll",
                    "title": "Met Office Land Surface Stations Data (1900-2000)",
                    "abstract": "Historic land surface observations data from the Met Office station network. Data are available for the period 1900 to 1999 for daily measurements. Hourly observations are for now available back to January 1985. The dataset comprises daily and hourly weather measurements, hourly wind parameters, max and min air temperatures, soil temperatures, sunshine duration and radiation measurements and hourly and daily rain measurements.\r\n\r\nThis dataset has been SUPERSEDED BY THE NEW MIDAS Land Surface Stations data (1853-current). It has been retained for reference purposes. Users with access to the MIDAS Land surface stations dataset automatically have access to this dataset as well.\r\n\r\n\r\nThe daily data are available online from UK stations in 110 UK regions (mainly counties) over the period 1853 to July 2000.\r\n\r\nThe hourly data are for available from stations in the 110 UK regions also covered by the daily data from 1983 to July 2000."
                }
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            "ob_id": 6521,
            "uuid": "88c0f40600399ec1bd84a52277ee7fe2",
            "short_code": "proj",
            "title": "APPRIASE - ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project",
            "abstract": "The ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project aims to provide information and understanding of the properties and processes that determine aerosol radiative properties and impact on a range of scales from close to source, through plume and to regional scales. The aim of the aircraft work is to provide quality controlled in-situ measurements for the ADIENT project concerning UK and EU anthropogenic aerosol composition, microphysics and radiative properties and radiative impact.\r\n\r\nThe ADIENT project is part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme of the Natural Environment Research Council (NERC). Its aim is to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nRelated FAAM BAE-146 flights:\r\n\r\nManchester: Aerosol Mass Spectrometer : b333, b334, b335, b355, b356, b357, b362,b363, b364,b365, b366, b367, b368, b369, b370, b371, b372, b373, b374, b379, b380, b401,b402,b406 \r\n\r\nManchester:Single Particle Soot Photometer : b355, b356, b357.\r\n\r\nData have also been collected for the project by the Advanced Along Track Scanning Radiometer (AATSR)on the Envisat satellite, and by the Along Track Scanning Radiometer, Version 2 (ATSR 2) on the European Remote Sensing satellite 2 (ERS-2).",
            "publicationState": "published",
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            "parentProject": {
                "ob_id": 6522,
                "uuid": "3eea66b3a71e5d608a61e92a6bec05dc",
                "short_code": "proj",
                "title": "Aerosol properties, processes and influences on the Earth's climate (APPRAISE)",
                "abstract": "The Aerosol Properties, PRocesses And InfluenceS on the Earth’s Climate (APPRAISE) programme was a UK NERC (Natural Environment Research Council) directed research programme designed to improve our ability to quantify the effects of atmospheric aerosol particles on the Earth’s climate system. The aims of APPRAISE were to investigate and understand the underlying properties of airborne particles that affect the lifecycle of aerosol particles which in the end are responsible for their effect on radiation and cloud formation (hence the aerosols direct and indirect radiative contributions to the earth’s radiation budget). The programme tackled the formation, transformation and interaction of particles in the atmosphere to establish and quantify key pathways in their lifecycle. \r\n\r\nAPPRAISE looked at the science of aerosols and their effects on climate, as understanding atmospheric aerosols is one of the most important ways we can improve models of likely climate change, particularly at regional scales. The five-year programme started in 2005 and ended in 2010, and contained three large consortia projects and 4 core projects.\r\n\r\nThe aim of APPRAISE was to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nAPPRAISE helps us understand and quantify how aerosols:\r\n\r\n- Affect the Earth's radiation budget, by scattering and/or absorbing radiation\r\n- Influence clouds, and hence indirectly affect climate and the hydrological cycle\r\n- Contribute to feedback processes between land, the biosphere and climate\r\n\r\nAPPRAISE consisted of three consortium projects:\r\n\r\n- The Clouds (Aerosol Cloud Interactions and Climate) project aimed to assess the relative importance of the key processes by which aerosol control cloud microphysics in mixed phase clouds, to determine the properties and role of ice nuclei and their interaction with mixed phase clouds, and to assess the role of absorbing material above, below and within clouds.\r\n\r\n- The ACES project aimed to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\n- The ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project aimed to provide information and understanding of the properties and processes that determine aerosol radiative properties and impact on a range of scales from close to source, through plume and to regional scales.\r\n\r\nAPPRAISE focused and coordinated NERC's investments in aerosol research. The programme strengthened expertise in the UK, built links between existing excellent science activities, and provided a framework for UK scientists to collaborate with international colleagues. The NERC/Met Office BAe research aircraft and instrumentation, and links to existing modelling programmes, helped the programme put NERC's strategically-important aerosol research at the forefront of international research in this field.\r\n\r\nKeith Bower, University of Manchester, was the Scientific Coordinator for APPRAISE."
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                    "uuid": "0cb1fdfbf52140b2b2177b0dc52ebca0",
                    "short_code": "coll",
                    "title": "APPRAISE ADIENT: Atmospheric FAAM and GlobAEROSOL data",
                    "abstract": "The objective of the ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project was quantifying the direct effect of aerosols on the Earth's radiation budget, via scattering and/or absorption of radiation. \r\n\r\nA primary task of the Oxford team in the ADIENT project was to provide satellite data in support of ADIENT FAAM aircraft measurement campaigns. This encompassed both aiding flight planning by providing information on where and when satellite overpasses occurred, and providing easily digestible aerosol fields from satellite sensors at near-real-time. \r\n\r\nGlobAEROSOL was an ESA Data User Element project aimed at providing a 10 year aerosol climatology from European satellite radiometers. The project is made use of the ATSR­\r\n2 instrument (on board ERS­2), AATSR and MERIS (on board Envisat), and SEVIRI (on\r\nboard Meteosat­8).\r\n\r\nThis data collection includes selected data from ATSR2 and AATSR as well as FAAM Flights data."
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            "uuid": "3eea66b3a71e5d608a61e92a6bec05dc",
            "short_code": "proj",
            "title": "Aerosol properties, processes and influences on the Earth's climate (APPRAISE)",
            "abstract": "The Aerosol Properties, PRocesses And InfluenceS on the Earth’s Climate (APPRAISE) programme was a UK NERC (Natural Environment Research Council) directed research programme designed to improve our ability to quantify the effects of atmospheric aerosol particles on the Earth’s climate system. The aims of APPRAISE were to investigate and understand the underlying properties of airborne particles that affect the lifecycle of aerosol particles which in the end are responsible for their effect on radiation and cloud formation (hence the aerosols direct and indirect radiative contributions to the earth’s radiation budget). The programme tackled the formation, transformation and interaction of particles in the atmosphere to establish and quantify key pathways in their lifecycle. \r\n\r\nAPPRAISE looked at the science of aerosols and their effects on climate, as understanding atmospheric aerosols is one of the most important ways we can improve models of likely climate change, particularly at regional scales. The five-year programme started in 2005 and ended in 2010, and contained three large consortia projects and 4 core projects.\r\n\r\nThe aim of APPRAISE was to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nAPPRAISE helps us understand and quantify how aerosols:\r\n\r\n- Affect the Earth's radiation budget, by scattering and/or absorbing radiation\r\n- Influence clouds, and hence indirectly affect climate and the hydrological cycle\r\n- Contribute to feedback processes between land, the biosphere and climate\r\n\r\nAPPRAISE consisted of three consortium projects:\r\n\r\n- The Clouds (Aerosol Cloud Interactions and Climate) project aimed to assess the relative importance of the key processes by which aerosol control cloud microphysics in mixed phase clouds, to determine the properties and role of ice nuclei and their interaction with mixed phase clouds, and to assess the role of absorbing material above, below and within clouds.\r\n\r\n- The ACES project aimed to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\n- The ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project aimed to provide information and understanding of the properties and processes that determine aerosol radiative properties and impact on a range of scales from close to source, through plume and to regional scales.\r\n\r\nAPPRAISE focused and coordinated NERC's investments in aerosol research. The programme strengthened expertise in the UK, built links between existing excellent science activities, and provided a framework for UK scientists to collaborate with international colleagues. The NERC/Met Office BAe research aircraft and instrumentation, and links to existing modelling programmes, helped the programme put NERC's strategically-important aerosol research at the forefront of international research in this field.\r\n\r\nKeith Bower, University of Manchester, was the Scientific Coordinator for APPRAISE.",
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            "subProject": [
                {
                    "ob_id": 6527,
                    "uuid": "0419468bd7d7bb57f1ff652cee0a4026",
                    "short_code": "proj",
                    "title": "APPRAISE - Clouds (Aerosol cloud interactions and climate) Project",
                    "abstract": "The aims of the Clouds (Aerosol Cloud Interactions and Climate) project are to assess the relative importance of the key processes by which aerosol control cloud microphysics in mixed phase clouds, to determine the properties and role of ice nuclei and their interaction with mixed phase clouds, and to assess the role of absorbing material above, below and within clouds. \r\n\r\nThe Clouds project data were mainly collected during FAAM (Facility for Airborne Atmospheric Measurements) flights. During these flights the FAAM aircraft was host to the University of Manchester Aerosol Mass Spectrometer, GRIMM Optical Particle Counter, Scanning Mobility Particle Sizer, and the Condensation Particle Counter. The Aerosol chamber at the University of Manchester was also used to collect data for the Clouds project. There were also ground measurements campaigns conducted at the Chilbolton Observatory site.\r\n\r\nThe APPRAISE-CLOUDS project was funded by NERC as part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme and ran from September 2007 to June 2011."
                },
                {
                    "ob_id": 6521,
                    "uuid": "88c0f40600399ec1bd84a52277ee7fe2",
                    "short_code": "proj",
                    "title": "APPRIASE - ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project",
                    "abstract": "The ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project aims to provide information and understanding of the properties and processes that determine aerosol radiative properties and impact on a range of scales from close to source, through plume and to regional scales. The aim of the aircraft work is to provide quality controlled in-situ measurements for the ADIENT project concerning UK and EU anthropogenic aerosol composition, microphysics and radiative properties and radiative impact.\r\n\r\nThe ADIENT project is part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme of the Natural Environment Research Council (NERC). Its aim is to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nRelated FAAM BAE-146 flights:\r\n\r\nManchester: Aerosol Mass Spectrometer : b333, b334, b335, b355, b356, b357, b362,b363, b364,b365, b366, b367, b368, b369, b370, b371, b372, b373, b374, b379, b380, b401,b402,b406 \r\n\r\nManchester:Single Particle Soot Photometer : b355, b356, b357.\r\n\r\nData have also been collected for the project by the Advanced Along Track Scanning Radiometer (AATSR)on the Envisat satellite, and by the Along Track Scanning Radiometer, Version 2 (ATSR 2) on the European Remote Sensing satellite 2 (ERS-2)."
                },
                {
                    "ob_id": 6531,
                    "uuid": "e2c57d91923b3fe604def87b7292b3f6",
                    "short_code": "proj",
                    "title": "APPRIASE - ACES (Aerosol Coupling in the Earth System) Project",
                    "abstract": "The ACES  (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nThe ACES project is part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme of the Natural Environment Research Council (NERC). Its aim is to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nThe ACES project is a consortium project consisting of researchers from The Centre for Environmental Policy at Imperial College London, The School of GeoSciences at The University of Edinburgh, The Department of Chemistry at The University of Leicester, The Centre for Atmospheric Science at The University of Manchester, The Department of Chemistry at The University of York, Centre for Ecology and Hydrology (CEH), and The Department of Environmental Science at The University of Lancaster. \r\n\r\nData for the project has been collected by the University of Manchester Sonic Anemometer 1, Scanning Mobility Particle Sizer, Condensation Particle Counter, GRIMM Optical Particle Counter in the tropical forest of Borneo, and the Aerosol Chamber in the Manchester University Laboratory.\r\n"
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            "ob_id": 6527,
            "uuid": "0419468bd7d7bb57f1ff652cee0a4026",
            "short_code": "proj",
            "title": "APPRAISE - Clouds (Aerosol cloud interactions and climate) Project",
            "abstract": "The aims of the Clouds (Aerosol Cloud Interactions and Climate) project are to assess the relative importance of the key processes by which aerosol control cloud microphysics in mixed phase clouds, to determine the properties and role of ice nuclei and their interaction with mixed phase clouds, and to assess the role of absorbing material above, below and within clouds. \r\n\r\nThe Clouds project data were mainly collected during FAAM (Facility for Airborne Atmospheric Measurements) flights. During these flights the FAAM aircraft was host to the University of Manchester Aerosol Mass Spectrometer, GRIMM Optical Particle Counter, Scanning Mobility Particle Sizer, and the Condensation Particle Counter. The Aerosol chamber at the University of Manchester was also used to collect data for the Clouds project. There were also ground measurements campaigns conducted at the Chilbolton Observatory site.\r\n\r\nThe APPRAISE-CLOUDS project was funded by NERC as part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme and ran from September 2007 to June 2011.",
            "publicationState": "published",
            "keywords": "APPRAISE clouds",
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            "parentProject": {
                "ob_id": 6522,
                "uuid": "3eea66b3a71e5d608a61e92a6bec05dc",
                "short_code": "proj",
                "title": "Aerosol properties, processes and influences on the Earth's climate (APPRAISE)",
                "abstract": "The Aerosol Properties, PRocesses And InfluenceS on the Earth’s Climate (APPRAISE) programme was a UK NERC (Natural Environment Research Council) directed research programme designed to improve our ability to quantify the effects of atmospheric aerosol particles on the Earth’s climate system. The aims of APPRAISE were to investigate and understand the underlying properties of airborne particles that affect the lifecycle of aerosol particles which in the end are responsible for their effect on radiation and cloud formation (hence the aerosols direct and indirect radiative contributions to the earth’s radiation budget). The programme tackled the formation, transformation and interaction of particles in the atmosphere to establish and quantify key pathways in their lifecycle. \r\n\r\nAPPRAISE looked at the science of aerosols and their effects on climate, as understanding atmospheric aerosols is one of the most important ways we can improve models of likely climate change, particularly at regional scales. The five-year programme started in 2005 and ended in 2010, and contained three large consortia projects and 4 core projects.\r\n\r\nThe aim of APPRAISE was to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nAPPRAISE helps us understand and quantify how aerosols:\r\n\r\n- Affect the Earth's radiation budget, by scattering and/or absorbing radiation\r\n- Influence clouds, and hence indirectly affect climate and the hydrological cycle\r\n- Contribute to feedback processes between land, the biosphere and climate\r\n\r\nAPPRAISE consisted of three consortium projects:\r\n\r\n- The Clouds (Aerosol Cloud Interactions and Climate) project aimed to assess the relative importance of the key processes by which aerosol control cloud microphysics in mixed phase clouds, to determine the properties and role of ice nuclei and their interaction with mixed phase clouds, and to assess the role of absorbing material above, below and within clouds.\r\n\r\n- The ACES project aimed to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\n- The ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project aimed to provide information and understanding of the properties and processes that determine aerosol radiative properties and impact on a range of scales from close to source, through plume and to regional scales.\r\n\r\nAPPRAISE focused and coordinated NERC's investments in aerosol research. The programme strengthened expertise in the UK, built links between existing excellent science activities, and provided a framework for UK scientists to collaborate with international colleagues. The NERC/Met Office BAe research aircraft and instrumentation, and links to existing modelling programmes, helped the programme put NERC's strategically-important aerosol research at the forefront of international research in this field.\r\n\r\nKeith Bower, University of Manchester, was the Scientific Coordinator for APPRAISE."
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                    "short_code": "coll",
                    "title": "APPRAISE Clouds: ground and airborne in-situ aerosol measurements",
                    "abstract": "Ground based and airborne in-situ aerosol measurements during the APPRAISE-CLOUDS (Aerosol cloud interactions and climate) project from the Chilbolton Atmospheric Observatory, Hampshire (South West England) and on board the FAAM BAE-146 research aircraft.\r\n\r\nThe data were collected for use in the CLOUDS project, which is one of multiple projects within the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) programme.\r\n\r\nAirborne measurements for the APPRAISE-CLOUDS project were also carried out using the FAAM BAe146 aircraft. In total 20 flights were carried out as part of this project with the aircraft operating from Cranfield, Exeter and Oberpffafenhofen, Germany.\r\n\r\nFor the APPRAISE-CLOUDS project the aircraft was equipped with a range of cloud and aerosol instruments including FSSP (cloud droplets), CPI (ice particles), 2DS (ice particles), 2DC (ice particles), 2DP (ice particles), CAPS (droplets, ice, large aerosol), AMS (aerosol chemistry), SP2 (soot aerosol), PCASP (aerosol size), SMPS (aerosol size), Filters (aerosol chemistry), CVI (cloud particle residuals), Nephalometers (aerosol scattering), PSAP (soot aerosol), Whole Air Samplers (trace gases - post flight analysis), Trace gas analysers (NOx, O3, SO2). \r\n\r\nMissions typically involved flight legs above and below cloud to characterise aerosol in the vicinity of the clouds, and flight legs within cloud to characterise cloud properties and attempt to measure cloud particle residuals. In total 110 flight hours were allocated to this project.\r\n\r\nFlight No. \tDate \t        Location\r\nB331 \t6/12/07 \tSW England\r\nB336 \t8/01/08 \tSW England\r\nB337 \t15/01/08 \tSW England\r\nB338 \t17/01/08 \tSW England\r\nB376 \t15/05/08 \tSW Germany\r\nB377 \t17/05/08 \tSwitzerland\r\nB378 \t18/05/08 \tSwitzerland\r\nB421 \t17/12/08 \tCardigan Bay\r\nB422 \t15/01/09 \tSW England\r\nB423 \t20/01/09 \tBristol Channel\r\nB424 \t21/01/09 \tSW England\r\nB425 \t22/01/09 \tSW England\r\nB426 \t28/01/09 \tSW England\r\nB430 \t18/02/09 \tSW England\r\nB431 \t26/02/09 \tSW England\r\nB432 \t27/02/09 \tScotland\r\nB433 \t3/03/09 \tSW England\r\nB434 \t3/03/09 \tSW England\r\nB449 \t27/05/09 \tSW England\r\nB456 \t6/06/09 \tSW England "
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            "ob_id": 6531,
            "uuid": "e2c57d91923b3fe604def87b7292b3f6",
            "short_code": "proj",
            "title": "APPRIASE - ACES (Aerosol Coupling in the Earth System) Project",
            "abstract": "The ACES  (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nThe ACES project is part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme of the Natural Environment Research Council (NERC). Its aim is to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nThe ACES project is a consortium project consisting of researchers from The Centre for Environmental Policy at Imperial College London, The School of GeoSciences at The University of Edinburgh, The Department of Chemistry at The University of Leicester, The Centre for Atmospheric Science at The University of Manchester, The Department of Chemistry at The University of York, Centre for Ecology and Hydrology (CEH), and The Department of Environmental Science at The University of Lancaster. \r\n\r\nData for the project has been collected by the University of Manchester Sonic Anemometer 1, Scanning Mobility Particle Sizer, Condensation Particle Counter, GRIMM Optical Particle Counter in the tropical forest of Borneo, and the Aerosol Chamber in the Manchester University Laboratory.\r\n",
            "publicationState": "published",
            "keywords": "aces appraise",
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                "ob_id": 6522,
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                "short_code": "proj",
                "title": "Aerosol properties, processes and influences on the Earth's climate (APPRAISE)",
                "abstract": "The Aerosol Properties, PRocesses And InfluenceS on the Earth’s Climate (APPRAISE) programme was a UK NERC (Natural Environment Research Council) directed research programme designed to improve our ability to quantify the effects of atmospheric aerosol particles on the Earth’s climate system. The aims of APPRAISE were to investigate and understand the underlying properties of airborne particles that affect the lifecycle of aerosol particles which in the end are responsible for their effect on radiation and cloud formation (hence the aerosols direct and indirect radiative contributions to the earth’s radiation budget). The programme tackled the formation, transformation and interaction of particles in the atmosphere to establish and quantify key pathways in their lifecycle. \r\n\r\nAPPRAISE looked at the science of aerosols and their effects on climate, as understanding atmospheric aerosols is one of the most important ways we can improve models of likely climate change, particularly at regional scales. The five-year programme started in 2005 and ended in 2010, and contained three large consortia projects and 4 core projects.\r\n\r\nThe aim of APPRAISE was to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nAPPRAISE helps us understand and quantify how aerosols:\r\n\r\n- Affect the Earth's radiation budget, by scattering and/or absorbing radiation\r\n- Influence clouds, and hence indirectly affect climate and the hydrological cycle\r\n- Contribute to feedback processes between land, the biosphere and climate\r\n\r\nAPPRAISE consisted of three consortium projects:\r\n\r\n- The Clouds (Aerosol Cloud Interactions and Climate) project aimed to assess the relative importance of the key processes by which aerosol control cloud microphysics in mixed phase clouds, to determine the properties and role of ice nuclei and their interaction with mixed phase clouds, and to assess the role of absorbing material above, below and within clouds.\r\n\r\n- The ACES project aimed to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\n- The ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project aimed to provide information and understanding of the properties and processes that determine aerosol radiative properties and impact on a range of scales from close to source, through plume and to regional scales.\r\n\r\nAPPRAISE focused and coordinated NERC's investments in aerosol research. The programme strengthened expertise in the UK, built links between existing excellent science activities, and provided a framework for UK scientists to collaborate with international colleagues. The NERC/Met Office BAe research aircraft and instrumentation, and links to existing modelling programmes, helped the programme put NERC's strategically-important aerosol research at the forefront of international research in this field.\r\n\r\nKeith Bower, University of Manchester, was the Scientific Coordinator for APPRAISE."
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                    "ob_id": 6518,
                    "uuid": "2645674ed6e3bf14b40c3ecd0d1df7de",
                    "short_code": "coll",
                    "title": "APPRAISE-ACES: Aerosol instrument measurements",
                    "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nAs part of the APPRAISE-ACES project, the University of Manchester carried out several field measurements studies in the rainforest in Borneo (based at the forest in-canopy site located at the FACE (Forests Absorbing CO2 Emissions) nursery at the Sabahmas Estate oil plantation in Malaysia) and also aerosol chamber studies which followed in Manchester. \r\n\r\nThis dataset collection contains measurements from aerosol instruments used in Borneo including Condensation Particle Counter (CPC), Grimm Optical Particle Counter (Grimm), Scanning Mobility Particle Sizer (SMPS) and a Sonic Anemometer 1.\r\n\r\nThe ACES field measurement programme was designed to develop the objectives of the Oxidant and Particle Photochemical Processes above a South-East Asian Tropical Rain Forest (OP3-Danum-08) project. "
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            "ob_id": 6602,
            "uuid": "cbb3205aca023fd4ee395dbbc7f5b281",
            "short_code": "proj",
            "title": "DIAMET (Diabatic influences on mesoscale structures in extratropical storms) project",
            "abstract": "The project is aimed at a better understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), we will work to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast. The project is organised into three broad work packages. The first of these aims to look at real mesoscale structures in the atmosphere, using high-resolution in situ and radar measurements to derive their morphology and dynamics. The key to the latter is to calculate the production of potential vorticity by diabatic processes - especially phase changes of water (vapour/liquid/ice) and air-sea fluxes of sensible and latent heat. The associated high-resolution modelling programme will use the UM to simulate a representative number of events, diagnosing the PV tendency in the model and comparing with the measurements. Sensitivity studies and further diagnostics with the model will reveal the sensitivity of the forecasts to the correct representation of these processes and the dynamical consequences of diabatically-generated PV, both on the mesoscale and larger scales. Two student projects will investigate the role of boundary-layer processes in storm behaviour and conduct a statistical investigation of mesoscale precipitation features, based on archived radar and wind profiler data. The second WP examines particular physical processes and the way these are represented in forecast models. Convection cannot be explicitly represented in current large-scale models (it is just beginning to be resolvable by high-resolution local-area models) so it needs to be parameterised. The schemes that are used are not optimised for mid-latitude storms, where convection often initiates at altitude rather than at the Earth's surface. A combination of novel diagnostics and new (or modified) schemes aimed at improving the representation of convection will be developed in this WP. Also addressed here will be the derivation of air-sea fluxes of heat and momentum from aircraft flights, and their use (as part of a larger, ongoing international project) to derive a better parameterisation for these quantities in high wind conditions. Lastly, microphysical measurements made with the FAAM aircraft will be used to derive latent heating/cooling rates as a function of the microphysical environment and used to improve the model simulations in the first WP and to improve microphysical parameterisations in the UM The final WP addresses the problem of predictability, using a combination of ensemble and data assimilation techniques. A unique archive of forecast ensembles produced at the Met Office will be exploited to determine how well the forecast ensemble actually generates realistic mesoscale features, and the skill with which this is done (using standard measures of skill). Model errors in representing convection, air-sea fluxes and microphysics will be investigated to determine their impact on the forecasts for different flow conditions. The relationship between different model variables on the mesoscale is poorly known at present and this will be investigated using ensembles and the results of the measurement programme. Finally, novel approaches to data assimilation will be investigated through a student project.",
            "publicationState": "published",
            "keywords": "Storms Risk, DIAMET",
            "status": "completed",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [],
            "observationCollection": [
                {
                    "ob_id": 6599,
                    "uuid": "6ca226c9634e57437f204ad9c5be77e1",
                    "short_code": "coll",
                    "title": "DIAMET: Ensemble of Atmospheric Airborne and Ground-based Measurements including Radar Data",
                    "abstract": "Data from the DIAMET (DIAbatic influences on Mesoscale structures in ExTratropical storms, NE/I005234/1) project, part of the Storms Risk Mitigation NERC (Natural Environment Research Council) research programme 2009-2014. DIAMET used the FAAM (Facility for Airborne Atmospheric Measurements) BAE-146 aircraft, ground-based and airborne instruments and radar together with modelling studies to forge a better understanding and prediction of mesoscale structures in synoptic-scale storms. This is determined by focusing an incident laser beam on particles, and whenever a particle passes through the beam, a shadow is generated and imaged onto the diode array. These images are part of this dataset along with flight summaries.\r\n\r\nThe DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast. The project is organised into three sections.\r\n\r\nReal mesoscale structures in the atmosphere have been examined, using high-resolution in situ and radar measurements to derive their morphology and dynamics. The key to the latter is to calculate the production of potential vorticity by diabatic processes - especially phase changes of water (vapour/liquid/ice) and air-sea fluxes of sensible and latent heat. The associated high-resolution modelling programme will use the UM to simulate a representative number of events, diagnosing the PV tendency in the model and comparing with the measurements. Sensitivity studies and further diagnostics with the model will reveal the sensitivity of the forecasts to the correct representation of these processes and the dynamical consequences of diabatically-generated PV, both on the mesoscale and larger scales. Two student projects have investigated the role of boundary-layer processes in storm behaviour and conduct a statistical investigation of mesoscale precipitation features, based on archived radar and wind profiler data.\r\n\r\nExamination of particular physical processes and the way these are represented in forecast models. Convection cannot be explicitly represented in current large-scale models (it is just beginning to be resolvable by high-resolution local-area models) so it needs to be parameterised. The schemes that are used are not optimised for mid-latitude storms, where convection often initiates at altitude rather than at the Earth's surface. A combination of novel diagnostics and new (or modified) schemes aimed at improving the representation of convection will be developed. Also addressed here will be the derivation of air-sea fluxes of heat and momentum from aircraft flights, and their use (as part of a larger, ongoing international project) to derive a better parameterisation for these quantities in high wind conditions. Lastly, microphysical measurements made with the FAAM aircraft will be used to derive latent heating/cooling rates as a function of the microphysical environment and used to improve the model simulations in the first WP and to improve microphysical parameterisations in the UM.\r\n\r\nThe problem of predictability will be addressed using a combination of ensemble and data assimilation techniques. A unique archive of forecast ensembles produced at the Met Office will be exploited to determine how well the forecast ensemble actually generates realistic mesoscale features, and the skill with which this is done (using standard measures of skill). Model errors in representing convection, air-sea fluxes and microphysics will be investigated to determine their impact on the forecasts for different flow conditions. The relationship between different model variables on the mesoscale is poorly known at present and this will be investigated using ensembles and the results of the measurement programme. Finally, novel approaches to data assimilation will be investigated."
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            "short_code": "proj",
            "title": "Intergovernmental Oceanographic Commission (IOC)",
            "abstract": "The IOC of UNESCO provides Member States of the United Nations with an essential mechanism for global co-operation in the study of the ocean. The IOC assists governments to address their individual and collective ocean and coastal problems through the sharing of knowledge, information and technology and through the coordination of national programs.",
            "publicationState": "published",
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                    "short_code": "coll",
                    "title": "Global Sea Level Observing System (GLOSS) Project: Marine Observations",
                    "abstract": "The Global Sea Level Observing System (GLOSS) is an international programme co-ordinated by the Intergovernmental Oceanographic Commission (IOC) for the establishment of high quality global and regional sea level networks for application to climate, oceanographic and coastal sea level research. The programme became known as GLOSS as it provides data for deriving the \"Global Level Of the Sea Surface\"; a smooth level after averaging out waves, tides and short-period meteorological events. The main component of GLOSS is the Global Core Network (GCN) of 308 sea level stations around the world, which are maintained by 87 countries. The GLOSS network has been designed to observe large-scale sea level variations of global implications, and stations were identified at intervals of approximately 1000 km along the continental coasts and on islands, but generally not closer than 500 km. In selecting individual sites, priority is given to gauges which have been functioning for a long period. All gauges are required to aim for an accuracy of 10 mm in level, and 1 minute in time. All must be linked to bench marks against which their datum is checked regularly.\r\n\r\nThis network monitors sea level changes which could be indicative of global warming, ocean circulation patterns, climate variability, etc., and contributes data to global climate research within the World Climate Research Programme (WCRP) including the Tropical Ocean-Global Atmosphere (TOGA) project, the World Ocean Circulation Experiment (WOCE), Climate Variability and Predictability (CLIVAR) and recent vertical crustal movement studies conducted by the International Union of Geodesy and Geophysics (IUGG) of the International Council of Scientific Unions (ICSU) and UNESCO (International Geological Correlation Programme (IGCP)). It also provides high quality data for practical applications of national importance. The measurements by GLOSS gauges complement satellite altimetry measurements. GLOSS is considered as an important potential element of the Global Ocean Observing System (GOOS) initiated by IOC with the World Meteorological Organisation (WMO), the UN Environmental Programme (UNEP) and ICSU.\r\n\r\nThe elements of GLOSS are:\r\n\r\nA global network of permanent sea level stations to obtain standardised sea level observations; this forms the primary network to which regional and national sea level networks can be related;\r\n\r\nData collection for international exchange with unified formats and standard procedures which includes both near-real-time as well as delayed mode data collection;\r\n\r\nData analysis and product preparation for scientific and/or practical applications;\r\n\r\nAssistance and training for establishing and maintaining sea level stations as part of GLOSS and improving national sea level networks;\r\n\r\nA selected set of GLOSS tide-gauge bench marks accurately connected to a global geodetic reference system (i.e. the conventional terrestrial frame established by the International Earth Rotation Service).\r\nThe Permanent Service for Mean Sea Level (PSMSL) collects and archives data from GLOSS stations in the form of monthly mean values, but hourly and daily values are also expected to be made available from all stations by the originators. The GLOSS network consists of 308 sea level stations, which are operated and maintained by 87 countries."
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            "uuid": "b6c783922d1ce68c4293d90caede5bb9",
            "short_code": "proj",
            "title": "UEA Climatic Research Unit (CRU) Gridded Datasets production project",
            "abstract": "The Climatic Research Unit at the University of East Anglia is producing various resolution gridded datasets.\r\nSome of those datasets are stored at CEDA-BADC.",
            "publicationState": "published",
            "keywords": "CRU, time-series, climate",
            "status": "ongoing",
            "parentProject": null,
            "subProject": [],
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            "observationCollection": [
                {
                    "ob_id": 6889,
                    "uuid": "116aed45b5f0d15ddc3b0e753837e8c9",
                    "short_code": "coll",
                    "title": "Climatic Research Unit (CRU): Year-by-Year Variation of Selected Climate Variables by CountrY (CY) v3",
                    "abstract": "The CRU CY datasets consists of country averages at a monthly, seasonal and annual frequency, for ten climate variables in 289 countries. Spatial averages are calculated using area-weighted means. Variables include cloud cover (cld), diurnal temperature range (dtr), frost day frequency (frs), precipitation (pre), daily mean temperature (tmp), monthly average daily maximum (tmx) and minimum (tmn) temperature, vapour pressure (vap), Potential Evapo-transpiration (pet) and wet day frequency (wet). The CRU CY datasets produced by the Climatic Research Unit (CRU) at the University of East Anglia.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY is derived directly from the CRU TS dataset and version numbering is matched between the two datasets. Thus, the first official version of CRU CY is v3.21, as it is based on CRU TS v3.21 (1901-2012) and the latest version of CRU-CY is v3.26 based on CRU TS v3.26 (1901-2017) for 289 countries. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nTo understand the CRU-CY dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS. It is therefore recommended that all users read the paper referenced below (Harris et al, 2014)."
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                    "uuid": "3f8944800cc48e1cbc29a5ee12d8542d",
                    "short_code": "coll",
                    "title": "Climatic Research Unit (CRU): Time-series (TS) datasets of variations in climate with variations in other phenomena v3",
                    "abstract": "Time-series (TS) datasets are month-by-month variation in climate over the last century or so as produced by the Climatic Research Unit (CRU) at the University of East Anglia. These are calculated on high-resolution (0.5x0.5 degree) grids, which are based on an archive of monthly mean temperatures provided by more than 4000 weather stations distributed around the world. They allow variations in climate to be studied, and include variables such as cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum temperature, vapour pressure, Potential Evapo-transpiration and wet day frequency.\r\n\r\nAt present, the BADC holds the latest Time Series data generated by CRU for the period 1901-2017. Those are available as CRU TS 3.26 data. The BADC also holds the preliminary CRU TS3.00 datasets for the period 1901-2006 as well as the subsequent CRU TS 3.10, 3.20, 3.21, 3.22, 3.23, 3.24 and CRU TS 3.25 datasets for the period 1901-2016.\r\n\r\nThe CRU TS data are monthly gridded fields based on daily values -hence the ASCII and netcdf files both contain monthly mean values for the various parameters."
                },
                {
                    "ob_id": 26851,
                    "uuid": "863a47a6d8414b6982e1396c69a9efe8",
                    "short_code": "coll",
                    "title": "CRU JRA: Collection of CRU JRA forcing datasets of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data.",
                    "abstract": "This is a collection of the University of East Anglia Climatic Research Unit (CRU) Japanese Reanalysis (JRA) data. The CRU JRA data are 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models.\r\n\r\nThe dataset is constructed by combining data from the Japanese Reanalysis data produced by the Japanese Meteorological Agency (JMA) and adjusted where possible to align with the CRU TS data (these 'ten meteorological variables' are not the same ten available from CRU TS).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRUNCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRUNCEP dataset rather than that which is available from UCAR."
                },
                {
                    "ob_id": 27513,
                    "uuid": "3587430e588b491e8a795664466a27d1",
                    "short_code": "coll",
                    "title": "Climatic Research Unit (CRU): Time-series (TS) datasets of variations in climate with variations in other phenomena v4",
                    "abstract": "Time-series (TS) datasets are month-by-month variation in climate over the last century or so as produced by the Climatic Research Unit (CRU) at the University of East Anglia. These are calculated on high-resolution (0.5x0.5 degree) grids, which are based on an archive of monthly mean temperatures provided by more than 4000 weather stations distributed around the world. They allow variations in climate to be studied, and include variables such as cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum temperature, vapour pressure, potential evapo-transpiration and wet day frequency.\r\n\r\nThe CRU TS data are monthly gridded fields based on daily values -hence the ASCII and netcdf files both contain monthly mean values for the various parameters."
                },
                {
                    "ob_id": 27835,
                    "uuid": "a5fc25a8153148b9872f24ab889f64a9",
                    "short_code": "coll",
                    "title": "Climatic Research Unit (CRU): Year-by-Year Variation of Selected Climate Variables by CountrY (CY) v4",
                    "abstract": "The CRU CY datasets consists of country averages at a monthly, seasonal and annual frequency, for ten climate variables in 289 countries. Spatial averages are calculated using area-weighted means. Variables include cloud cover (cld), diurnal temperature range (dtr), frost day frequency (frs), precipitation (pre), daily mean temperature (tmp), monthly average daily maximum (tmx) and minimum (tmn) temperature, vapour pressure (vap), Potential Evapo-transpiration (pet) and wet day frequency (wet). The CRU CY datasets produced by the Climatic Research Unit (CRU) at the University of East Anglia.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY is derived directly from the CRU TS dataset and version numbering is matched between the two datasets. Thus, the first official version of CRU CY is v3.21, as it is based on CRU TS v3.21 (1901-2012) and the latest version of CRU-CY is v4.03, as it is based on CRU TS v4.03. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nTo understand the CRU-CY dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS. It is therefore recommended that all users read the paper referenced below (Harris et al, 2014)."
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            "ob_id": 6686,
            "uuid": "4a5508f4ad9bf98d51fbf497db835c52",
            "short_code": "proj",
            "title": "Acid Deposition Processes Project",
            "abstract": "The Centre for Ecology and Hydrology (CEH) undertook the DEFRA funded Acid Deposition Processes Project to aid development of the understanding of acid deposition in the UK. In order to meet the project had the following 5 principal aims: \r\n1) to determine the fate of the UK emissions of sulphur and nitrogen by direct measurements and to check and validate model deposition and concentration fields; \r\n2) to measure the magnitude of exceedances of deposition over ecosystem sensitivity (Critical Load exceedances); \r\n3) to measure the trends in deposition relative to emission changes to show whether UK policy on reductions is working and Is effective; \r\n4) to provide the underpinning measurement of deposition processes (wet and dry), to provide the parameters for long range transport and deposition models in the UK (eg FRAME) and for EMEP modelling; \r\n5) to describe the chemical climate of the atmosphere over the UK and the changes with time. \r\nThis work was undertaken under DEFRA contract RMP2258.",
            "publicationState": "published",
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                    "short_code": "coll",
                    "title": "Acid Deposition Processes Project: vertical wind profile data",
                    "abstract": "In 2007 the Centre for Ecology and Hydrology undertook continuation observational work as part of the DEFRA funded Acid Deposition Processes project. As part of this project data were collected a the Authencorth Moss field site near Edinburgh by a range of instruments routinely deployed at the site. In addition for this extension project the University of Manchester's 1290 MHz mobile wind profiler was deployed close to the Authencorth Moss field site to provide co-located vertical profiles of horizontal and vertical wind components as well as signal-to-noise (SNR) and spectal width measurements in January and February 2007.\r\n\r\nThis dataset collection contains measurements from the University of Manchester's 1290 MHz mobile wind profiler."
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            "title": "Aerosol and Chemical Transport in Tropical Convection (ACTIVE)",
            "abstract": "NERC-funded consortium project combining field measurements and a range of modelling tools at different scales to address questions related to the composition of the tropical tropopause layer (TTL). Two airborne campaigns based in Darwin, Australia will unfold in November-December 2005 (pre-monsoon convection) and January-February 2006 (monsoon convection).",
            "publicationState": "published",
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                "ob_id": 877,
                "uuid": "16e1c51a9eeae188510f2308b18a14fa",
                "short_code": "proj",
                "title": "Natural Environment Research Council (NERC)",
                "abstract": "The Natural Environment Research Council (NERC) is the UK's main agency for funding and managing research, training and knowledge transfer in the environmental sciences."
            },
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                    "short_code": "coll",
                    "title": "Natural Environment Research Council (NERC) Aerosol and chemical transport in tropical convection (ACTIVE): Aircraft Measurements and Ozonesondes Measurements",
                    "abstract": "The ACTIVE (Aerosol and chemical transport in tropical convection) Natural Environment Research Council (NERC) funded consortium project, combined field measurements and a range of modelling tools at different scales to address questions related to the composition of the tropical tropopause layer (TTL). \r\n\r\nField measurements were conducted in Darwin, Australia in two phases: November-December 2005 (pre-monsoon convection), in collaboration with the SCOUT-O3 project funded by the European Commission, and January-February 2006 (monsoon convection), in collaboration with the US/Australian TWPICE project.\r\n\r\nACTIVE utilised the Australian Egrett aircraft operated by Airborne Research Australia (ARA) and the NERC Dornier 228 operated by the British Airborne Research and Survey Facility (ARSF) to measure chemical species and aerosol in the inflow and outflow of tropical storms. Cloud-scale and large-scale modelling studies assisted in the interpretation of the measurements to distinguish the different contributions to the TTL composition. The dataset contains the before-mentioned aircraft measurement as well as ozonesondes.\r\n\r\nInstitutions involved in ACTIVE include\r\n\r\nThe University of Manchester, UK.\r\nThe University of Cambridge, UK.\r\nThe University of Wales at Aberystwyth, UK.\r\nThe University of York, UK.\r\nThe Deutsches Zentrum fur Luft- und Raumfahrt (DLR), Germany.\r\nThe Forschungzentrum Julich (FZJ), Germany.\r\nThe York University, Canada.\r\nThe Bureau of Meteorology (BOM), Australia.\r\nThe Airborne Research, Australia (ARA)."
                }
            ],
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                4413,
                4414
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            "uuid": "6ae6e6ad2cae120358f5fd111d6496af",
            "short_code": "proj",
            "title": "QUEST Earth System Data Initiative (QESDI)",
            "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nTo facilitate this data exchange, and to avoid replication of the often labour-intensive efforts to source and visualize data, QUEST set up the QUEST Earth System Data Initiative - QESDI - a mechanism for easy, centralized access with flexible statistical and visualization tools for consistent processing and presentation of global data sets.\r\n\r\n",
            "publicationState": "published",
            "keywords": "QUEST, QESDI, data",
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                "ob_id": 1650,
                "uuid": "1c985a8ab9639f06c8e74c52d562a9c9",
                "short_code": "proj",
                "title": "Quantifying and Understanding the Earth System (QUEST)",
                "abstract": "The Quantifying and Understanding the Earth System (QUEST) programme assimilated scientists' knowledge of the Earth as an integrated system. Its aim was to substantially improve predictions of global environmental change.\r\n\r\nHuman activities are altering the atmosphere and oceans, transforming ecosystems, and changing the climate over and above natural variation. To predict how the complex interactions and feedbacks between different components of the Earth System will respond to our growing influence, they need to be considered together.\r\n\r\nThe programme had three main themes:\r\n\r\n-The contemporary carbon cycle and its interactions with climate and atmospheric chemistry.\r\n-The natural regulation of atmospheric composition on glacial-interglacial and longer time scales.\r\n-The implications of global environmental changes for the sustainable use of resources.\r\n\r\nQUEST helped to accelerate development of the next generation of environmental-change models, and provided a focal point for UK work, forging collaborations and synergies between worldwide experts in Earth System research and modelling."
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                    "ob_id": 6742,
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                    "short_code": "coll",
                    "title": "QUEST Earth System Data Initiative (QESDI)",
                    "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nThis dataset collection contains climatology, soil. population, ecosystem and land cover data.\r\n\r\nTo facilitate this data exchange, and to avoid replication of the often labour-intensive efforts to source and visualize data, QUEST set up the QUEST Earth System Data Initiative - QESDI - a mechanism for easy, centralized access with flexible statistical and visualization tools for consistent processing and presentation of global data sets."
                }
            ],
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            "title": "Ice Nuclearisation in Wave Clouds (NU-WAVE)",
            "abstract": "The Met Office NU-WAVE (Ice Nuclearisation in Wave Clouds) project aimed at studying ice crystal nucleation in orographic wave clouds. NU_WAVE was to study the nucleation of ice crystals in orographic wave clouds and its dependence on the physical and chemical properties of the input aerosol. The primary aim was to study heterogeneous nucleation processes acting in the temperature range 0 to -35C (but principally -15 to -35C). Where possible, however, the influence of homogeneous nucleation a temperatures colder than -35C were also studied. It was based on a 2-flight campaign (November 2004) on board the FAAM aircraft. Flights involved penetration of single wave clouds, trains of wave clouds and extensive sheets of cirrus formed by orographic effects.",
            "publicationState": "published",
            "keywords": " NU-WAVE, FAAM, Ice, Clouds",
            "status": "completed",
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                {
                    "ob_id": 6766,
                    "uuid": "e8ea50a8a5b73fd5216a386ea90a706c",
                    "short_code": "coll",
                    "title": "Facility for Airborne Atmospheric Measurements (FAAM) Aircraft Data for the Ice Nuclearisation in Wave Clouds (NU-WAVE) Project",
                    "abstract": "The Met Office NU-WAVE (Ice Nuclearisation in Wave Clouds) project aimed at studying ice crystal nucleation in orographic wave clouds. NU_WAVE was to study the nucleation of ice crystals in orographic wave clouds and its dependence on the physical and chemical properties of the input aerosol. The primary aim was to study heterogeneous nucleation processes acting in the temperature range 0 to -35C (but principally -15 to -35C). Where possible, however, the influence of homogeneous nucleation a temperatures colder than -35C were also studied. It was based on a 2-flight campaign (November 2004) on board the FAAM aircraft. Flights involved penetration of single wave clouds, trains of wave clouds and extensive sheets of cirrus formed by orographic effects.\r\n"
                }
            ],
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                9090,
                4457,
                4458
            ],
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                29025
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            "ob_id": 6897,
            "uuid": "b05a3f546a68850f0a5f78195402d44c",
            "short_code": "proj",
            "title": "Contrail Forecast Verification Experiment (COVEX)",
            "abstract": "The Contrail Forecast Verification Experiment (COVEX) was a Met Office experiment to validate the new contrail forecasting techniques based on engine parameters and environmental conditions. It was based on a one-flight experiment on board the Facility for Airborne Atmospheric Research (FAAM) aircraft, that took place in December 2004.",
            "publicationState": "published",
            "keywords": "COVEX, FAAM",
            "status": "",
            "parentProject": null,
            "subProject": [],
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            "observationCollection": [
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                    "ob_id": 6894,
                    "uuid": "9162fb1657072abb2570cdeae69994fc",
                    "short_code": "coll",
                    "title": "Facility for Airborne Atmospheric Measurements (FAAM) Aircraft Data for the Contrail Forecast Verification Experiment (COVEX)",
                    "abstract": "The Contrail Forecast Verification Experiment (COVEX) was a Met Office experiment to validate the new contrail forecasting techniques based on engine parameters and environmental conditions. It was based on a one-flight experiment on board the Facility for Airborne Atmospheric Research (FAAM) aircraft, that took place in December 2004."
                }
            ],
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            "uuid": "3ab8c8edac8918d4da49b946918d27fa",
            "short_code": "proj",
            "title": "Climate Impacts LINK Project",
            "abstract": "The Climate Impacts LINK project provides climate simulations from the Met Office Hadley Centre to the UK and international academic community.\n\nThe climate model data includes climate change runs from HadCM2, HadCM3 and HadRM2. Both HadCM2 and HadCM3 are global coupled atmosphere-ocean models. HadCM2 was used in the IPCC second assessment report, but has since been superseded by HadCM3, the model used in the IPCC third assessment report. HadCM3 has an improved representation of the atmosphere and ocean physics compared to HadCM2. In particular the improvement in physics mean that HadCM3 has a reasonable, stable climate without the use of a flux correction. HadRM3 is a high resolution atmosphere model that is run over the European domain.",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [],
            "observationCollection": [
                {
                    "ob_id": 6932,
                    "uuid": "7b497337061856b59927e936dd7a1bdb",
                    "short_code": "coll",
                    "title": "Collection of Met Office Hadley Centre Climate Simulations Data as part of the Climate Impacts LINK Project",
                    "abstract": "This dataset contains output data from a number of models from the UK Met Office Hadley Centre which was processed into text files at the Climate Research Unit at the University of East Anglia. The data extraction was intended for use by the Climate Impacts Community (and was funded by the UK Departement of Environment Food and Rural Affairs, Defra).\r\n\r\nOutput from each model is stored in a separate directory in the BADC archive, and the majority of the data comes from experiments performed using the Hadley centre Coupled Model, Version 3 (HadCM3).\r\n\r\nNote that is dataset is kept for historical purposes only. More consistent and complete HadCM3 data is available from the main British Atmospheric Data Centre (BADC) HadCM3 archive."
                }
            ],
            "identifier_set": [
                4541,
                4542
            ],
            "responsiblepartyinfo_set": [
                29615
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            "uuid": "e3ea9b785d17b4d97f1b448d7963deef",
            "short_code": "proj",
            "title": "NOAA-CIRES Twentieth Century Global Reanalysis Project",
            "abstract": "The 20th Century Reanalysis (Version 2) Dataset was produced by the National Oceanic and Atmospheric Administration (NOAA) and University of Colorado's Cooperative Institute for Research in Environmental Sciences (CIRES), members of the international Twentieth Century Reanalysis (20CR) project.\r\n\r\nThe data were produced through international cooperation under the auspices of the international Atmospheric Circulation Reconstructions over the Earth (ACRE) initiative, and working groups of the Global Climate Observing System (GCOS) and the World Climate Research Program (WCRP). The 20CR project produced comprehensive global atmospheric circulation data spanning from late 19th century to the early 21st century, having only assimilated surface synoptic pressure observations and using observed monthly sea-surface temperature and sea-ice distributions from the HadISST dataset, courtesy of the Met Office Hadley Centre, as boundary conditions. Analyses every 6 hours on a 2 degree grid were produced to give the most likely state of the atmosphere based on a 56 ensemble member runs. Means, spreads and all ensemble members for each time step are available in the dataset archived at the BADC. The current 20CR output produced spans from 1871 to present with the BADC copy being updated when possible.",
            "publicationState": "published",
            "keywords": "NOAA, CIRES, reanalysis, model, ensemble",
            "status": "completed",
            "parentProject": null,
            "subProject": [],
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            "observationCollection": [
                {
                    "ob_id": 7223,
                    "uuid": "51a90cd5a54a1bd84b18d8b7a839a2df",
                    "short_code": "coll",
                    "title": "NOAA-CIRES: Twentieth Century Global Climate Reanalysis Version II Data",
                    "abstract": "The 20th Century Reanalysis (Version 2) Dataset was produced by the National Oceanic and Atmospheric Administration (NOAA) and University of Colorado's Cooperative Institute for Research in Environmental Sciences (CIRES), members of the international Twentieth Century Reanalysis (20CR) project. \r\n\r\nThis dataset collection contains twentieth century global climate reanalysis data, including output from each 56 members of the ensemble runs, their means, spreads and input observational data. The reanalysis was performed in various runs, each producing a 5 year period of output data.\r\n\r\nThe data were produced through international cooperation under the auspices of the international Atmospheric Circulation Reconstructions over the Earth (ACRE) initiative, and working groups of the Global Climate Observing System (GCOS) and the World Climate Research Program (WCRP). The 20CR project produced comprehensive global atmospheric circulation data spanning from late 19th century to the early 21st century, having only assimilated surface synoptic pressure observations and using observed monthly sea-surface temperature and sea-ice distributions from the HadISST dataset, courtesy of the Met Office Hadley Centre, as boundary conditions. Analyses every 6 hours on a 2 degree grid were produced to give the most likely state of the atmosphere based on a 56 ensemble member runs. Means, spreads and all ensemble members for each time step are available in the dataset archived at the BADC. The current 20CR output produced spans from 1871 to present with the BADC copy being updated when possible."
                }
            ],
            "identifier_set": [
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                4698
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            "short_code": "proj",
            "title": "Ice and Precipitation Initiation in Cumulus (ICEPIC)",
            "abstract": "A research project to understand and quantify the formation and growth of ice particles in cumulus congestus clouds by combining airborne measurements in cumulus congestus clouds with Doppler radar measurements. The FAAM aircraft was flown through cumulus clouds in the vicinity of the dual-polarisation Doppler radar at Chilbolton (Spring 2005).",
            "publicationState": "published",
            "keywords": "ICEPIC, FAAM, ICE, Clouds",
            "status": "completed",
            "parentProject": null,
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                    "short_code": "coll",
                    "title": "Facility for Airborne Atmospheric Measurements (FAAM) Aircraft Data for the Ice and Precipitation Initiation in Cumulus (ICEPIC) Project",
                    "abstract": "The Ice and Precipitation Initiation in Cumulus (ICEPIC) was a research project to understand and quantify the formation and growth of ice particles in cumulus congestus clouds by combining airborne measurements in cumulus congestus clouds with Doppler radar measurements. The FAAM aircraft was flown through cumulus clouds in the vicinity of the dual-polarisation Doppler radar at Chilbolton (Spring 2005)."
                }
            ],
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                4768,
                4769
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            "ob_id": 7451,
            "uuid": "bf2527de8c6d3bfc3fe041823c6e8104",
            "short_code": "proj",
            "title": "Quantifying variability of the El Nino Southern Oscillation on adaptation-relevant time scales using a novel palaeodata / modelling approach (QPENSO)",
            "abstract": "The research aims to help us understand year-to-year variations in climate around the world. This includes the occurrence of floods and droughts, of heat waves and cold spells.  The project examines the largest source of year-to-year climate variability on Earth, namely, El Niño. The El Niño is a warm ocean current that appears off the coast of NW South America every 3-5 years, and it is a result of a much larger scale phenomenon involving changes to the winds, rainfall, temperature and ocean currents across the whole of the tropical Pacific. The larger scale phenomenon is known as the El Niño Southern Oscillation, a name which reflects the fact that it involves a natural cycle in the circulation of both the atmosphere and the surface ocean and how they interact. Although we know that ENSO originates in the tropical Pacific, it has near world-wide impacts because of the way it affects the circulation of the atmosphere, and hence the winds and transport of moisture from the tropics to the extra-tropics. Floods and droughts and changed incidence of storminess from El Niño directly affect the lives and livelihoods of well over a billion people, and major El Niño events are associated with tens of thousands of human deaths, billions of pounds of damage, and devastation to some natural ecosystems such as coral reefs. Even Europe experiences changed weather patterns associated with ENSO! Although we now understand quite well the basic mechanisms behind the ENSO cycle, some major questions remain. In particular, we do not understand why some El Niño events are much stronger than others, why some decades show much stronger El Niño activity, or how ENSO will respond to climate change. To help answer some of these questions, we will reconstruct changes in ENSO over the past 5,000 years by analysing growth rings in the skeletons of old dead ('fossil') corals that lived in the Galápagos. The Galápagos Islands experience extreme changes in weather associated with El Niño (warmer and wetter during events), and these changes are recorded in the chemistry of the skeletons of corals living in the surrounding ocean. Some of these corals live for up to a hundred years, or longer, laying down layers of skeleton a bit like tree rings. We will collect cores through old dead corals, including some that lived thousands of years ago. Then, by analysing the chemistry of their growth bands we will be able to reconstruct the changes in climate, and ENSO, that the corals experienced during their life time. By combining the records from many such corals we will build up a picture of the natural variability in ENSO, helping us see how often major events occurred, and how much decade-to-decade variability in ENSO occurred. These coral records can let us reconstruct the history of past changes in ENSO, but on their own they do not help us to understand the causes of the changes. Were they due to changes in the sun's radiation? Or due to the cooling effects of major volcanic eruptions? Or were they simply random variations that we should expect without any sort of trigger? To answer these questions, we need to use climate models. The same models that we now use to predict future climate can be used to research changes in ENSO. In our work, we used the most up-to-date climate models to see if they can correctly replicate the observed changes in ENSO over the past few thousand years as defined by our coral records. We can also saw what the effects are of changing volcanic eruptions, solar radiation and greenhouse gases in these models. By comparing the model results with the coral records we gained a better understanding of the nature and causes of changes in ENSO, and the skill of the models at predicting this. ",
            "publicationState": "published",
            "keywords": "NERC, QPENSO, el nino, ENSO, paleo, model",
            "status": "completed",
            "parentProject": {
                "ob_id": 1341,
                "uuid": "ae2203ccbca9b6d5b28b35e66b2bcd05",
                "short_code": "proj",
                "title": "NERC Research Mode 2010 Projects",
                "abstract": "Data generated from NERC Research Mode 2010 funding programme and stored for long-term archiving at the BADC."
            },
            "subProject": [],
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                {
                    "ob_id": 7448,
                    "uuid": "6b71fed2cda829ade4dd61d0f2377d17",
                    "short_code": "coll",
                    "title": "QPENSO: HadCM3 model simulations output collection",
                    "abstract": "Model simulations undertaken by the Quantifying variability of the El Nino Southern Oscillation on adaptation-relevant time scales using a novel palaeodata-modelling approach (QPENSO) project. These are coupled ocean-atmosphere experiments with a modified version of the HadCM3 (UM version 4.5) climate model. The model has been modified to include stable isotopes of oxygen in both the ocean and atmosphere sub-models, after Tindall et al., 2009. The simulations are grouped into two experiments: 1) 'picontrol', comprising a single 750 year duration unforced pre-industrial boundary condition simulation; 2) 'forced', comprising a suite of six historical simulations of the interval 1160-1360 AD and including changes in solar, volcanic and greenhouse gas forcing. The six simulations represent an initial-condition ensemble over this interval.\r\nThis project was funded by NERC under grant NE/H009957/1."
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                4832
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            "ob_id": 7574,
            "uuid": "81c36735b0f588113c55838cf365e31b",
            "short_code": "proj",
            "title": "OFCAP Orographic Flows and the Climate of the Antarctic Peninsula project (OFCAP)",
            "abstract": "Ground-based Automatic weather station (AWS), Radiosonde and British Antarctic Survey (BAS) Masin twin-otter aircraft data were collected on and around the Antarctic Peninsula during the NERC-funded Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project. The Antarctic Peninsula is currently one of the most rapidly warming regions on Earth. Large environmental changes have occurred as a result of this warming, most notably the retreat and rapid disintegration of some of the floating ice shelves that fringe the Peninsula. Subsequent to the loss of ice shelves, glaciers draining the Peninsula ice sheet have accelerated, contributing to global sea level rise. The forces driving this rapid regional warming are not fully understood, but analysis of limited climatiological data from the region suggests a link between rapid summer warming on the eastern side of the Peninsula and an increase in the strength of the prevailing westerly winds. The strengthening of the westerlies has already been attributed, with some degree of confidence, to atmospheric circulation changes associated with anthropogenic forcing, particularly stratospheric ozone depletion and increases in greenhouse gases. It is thus highly probable that anthropogenic forcing is contributing to the rapid warming of the Peninsula.\r\n\r\nThe OFCAP project conducted an integrated programme of field observations, analysis and modelling aimed at understanding of how the westerly winds interact with the mountains of the Antarctic Peninsula and how those interactions control the climate of the eastern side of the Peninsula. This dataset comprises of data from the month-long intensive field campaign which took place in January 2011. During this period, atmospheric flow along a transect across the Antarctic Peninsula mountains around 67 degrees south was observed using the British Antarctic Survey (BAS) MASIN- Twin-otter instrumented aircraft and automatic weather stations at Avery Plateau, Cole Peninsula and North Adelaide Island along the line of the transect. Atmospheric conditions on the upwind (western) and downwind (eastern) sides of the mountains were measured using balloon-borne radiosondes were released from the Larsen Ice shelf camp and Rothera base. These observations were then analysed in conjunction with the results of high-resolution atmospheric model simulations in order to obtain a more complete picture of the flow across the Peninsula.\r\n\r\nOFCAP was funded by the Natural Environment Research Council (NERC) for three years from Sept 2009 (NERC Reference: NE/G014124/1).",
            "publicationState": "published",
            "keywords": "OFCAP, Climate, wind, model, aircraft",
            "status": "",
            "parentProject": null,
            "subProject": [],
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            "observationCollection": [
                {
                    "ob_id": 7738,
                    "uuid": "5a2083554c037d47a87b8e46f0f48dba",
                    "short_code": "coll",
                    "title": "Ground-based, radiosonde and aircraft data from the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project",
                    "abstract": "Ground-based Automatic weather station (AWS), Radiosonde and British Antarctic Survey (BAS) Masin twin-otter aircraft data collected on and around the Antarctic Peninsula during the NERC-funded Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project. \r\n\r\nThe OFCAP project conducted an integrated programme of field observations, analysis and modelling aimed at understanding of how the westerly winds interact with the mountains of the Antarctic Peninsula and how those interactions control the climate of the eastern side of the Peninsula. This dataset comprises of data from the month-long intensive field campaign which took place in January 2011. During this period, atmospheric flow along a transect across the Antarctic Peninsula mountains around 67 degrees south was observed using the British Antarctic Survey (BAS) MASIN- Twin-otter instrumented aircraft and automatic weather stations at Avery Plateau, Cole Peninsula and North Adelaide Island along the line of the transect. Atmospheric conditions on the upwind (western) and downwind (eastern) sides of the mountains were measured using balloon-borne radiosondes were released from the Larsen Ice shelf camp and Rothera base. These observations were then analysed in conjunction with the results of high-resolution atmospheric model simulations in order to obtain a more complete picture of the flow across the Peninsula.\r\n\r\nOFCAP was funded by the Natural Environment Research Council (NERC) for three years from Sept 2009 (NERC Reference: NE/G014124/1)"
                }
            ],
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                4904,
                4905
            ],
            "responsiblepartyinfo_set": [
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        {
            "ob_id": 7595,
            "uuid": "95399189cbbb8739dd3b3cbebe1773f6",
            "short_code": "proj",
            "title": "North Atlantic Marine Boundary Layer EXperiment  (NAMBLEX)",
            "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX), involving over 50 scientists from 12 institutions, took place at Mace Head, Ireland (53.32° N, 9.90° W), between 23 July and 4 September 2002. The aims of the campaign were to study the oxidation processes, atmospheric chemistry and composition of a number of species primarily in the Marine Boundary Layer. Campaign objectives were: to test quantitatively our basic understanding of oxidation processes in clean and moderately polluted air using observed correlations and comparisons of measured and model-predicted behaviour; to study extensively the chemistry of halogen species in the marine boundary layer through observation of reactive intermediates and their sources and sinks; to study the reactive nitrogen budget over the Atlantic Ocean; to examine the origins and role of reactive hydrocarbons in the MBL, and carbon budget reconciliation using comprehensive chromatography; and to investigate the size-distributed composition, internal mixing and Cloud Condensation Nucleus (CCN) activity of aerosols and the processes involved in new particle creation. A wide range of state-of-the-art instrumentation, developed using NERC and JIF funding, enabled detailed measurements of the boundary layer structure and atmospheric composition in the gas and aerosol phase to be made, providing one of the most comprehensive in situ studies of the marine boundary layer up to the time of the campaign. Measurements of some trace species were made for the first time during the campaign, which was characterised by predominantly clean air of marine origin, but more polluted air with higher levels of NOx originating from continental regions was also experienced. NAMBLEX was supported by measurements made in the vicinity of Mace Head using the NERC Dornier-228 aircraft and boundary layer wind profiles from the University of Wales, Aberystwyth mobile wind profiler. Participating institutions included the Universities of Leeds, York, East Anglia, Leicester, Birmingham, Bristol, Edinburgh, UMIST, Lancaster and Cambridge.",
            "publicationState": "published",
            "keywords": "",
            "status": "completed",
            "parentProject": null,
            "subProject": [],
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                {
                    "ob_id": 7592,
                    "uuid": "21ef611e1d3e4f261cae9d22f019b796",
                    "short_code": "coll",
                    "title": "NAMBLEX - North Atlantic Marine Boundary Layer EXperiment  dataset collection: chemical and meteorological atmospheric measurements",
                    "abstract": "The North Atlantic Marine Boundary Layer EXperiment (NAMBLEX) campaign was an atmospheric composition campaign conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. The data consist of chemical and meteorological atmospheric measurements, model data and trajectories from a number of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). The chemical species measured includes: O3, CO, H2, DMS, CH4, NMHC, NOx, NOy, PAN, VOCs, HCHO, peroxides, organo-halogenated species, a range of shorter lived halogen species (I2, OIO, IO, BrO), NO3 radicals, photolysis frequencies, and the free radicals OH, HO2 and (HO2 + Σ RO2). The BADC is the primary archiving and distribution data centre for NAMBLEX."
                }
            ],
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                4933,
                4932
            ],
            "responsiblepartyinfo_set": [
                49474,
                49475,
                31713
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        {
            "ob_id": 7756,
            "uuid": "c27dd85d3a45cb3b947bbadbeac87c6e",
            "short_code": "proj",
            "title": "High Resolution Dynamics Limb Sounder (HIRDLS) Consortium",
            "abstract": "HIRDLS was a joint US-UK development effort, with sponsorship by the British National Space Centre and the Natural Environment Research Council in the UK, and by NASA in the US. HIRDLS was an infrared limb-scanning radiometer designed to sound the upper troposphere, stratosphere, and mesosphere to determine: temperature; the concentrations of O3, H2O, CH4, N2O, NO2, HNO3, N2O5, CFC11, CFC12, ClONO2, and aerosols; and the locations of polar stratospheric clouds and cloud tops. The goals are to provide sounding observations with horizontal and vertical resolution superior to that previously obtained; to observe the lower stratosphere with improved sensitivity and accuracy; and to improve understanding of atmospheric processes through data analysis, diagnostics, and use of two- and three-dimensional models. ",
            "publicationState": "published",
            "keywords": "HIRDLS, temperature, aerosol",
            "status": "completed",
            "parentProject": {
                "ob_id": 12151,
                "uuid": "58f800717d044b4ea28be05eb80a20f0",
                "short_code": "proj",
                "title": "Natural Environment Research Council (NERC) Facilities and Services",
                "abstract": "The Natural Environment Research Council (NERC) Facilities and Services (NERC S&F) was responsible for funding NERC's national capability facilities until around 2014 when the responsibility of the facilities was transferred to various NERC national centres."
            },
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                {
                    "ob_id": 7753,
                    "uuid": "07ee76aabd233fef64fae9abcc3d9415",
                    "short_code": "coll",
                    "title": "HIgh Resolution Global Distributions of Temperature, Clouds, Aerosols, and 10 Trace Species Data from the High Resolution Dynamics Limb Sounder (HIRDLS) instrument measurements",
                    "abstract": "HIRDLS was a joint US-UK development effort, with sponsorship by the British National Space Centre and the Natural Environment Research Council in the UK, and by NASA in the US. HIRDLS was an mid-infrared limb-scanning radiometer (21 channels from 6.12 to 17.76 µm and provides sounding observations to observe the lower stratosphere with improved sensitivity and accuracy. HIRDLS was carried on the Aura mission, part of the A-train procession of polar orbiting satellites forming part of NASA's Earth Observing System (EOS).\r\n\r\nThis dataset collection contains data of the global distributions of temperature, clouds, aerosols, and 10 trace species O3, H2O, CH4, N2O, NO2, HNO3, N2O5, CFC11, CFC12, and ClONO2 in the stratosphere and upper troposphere at high vertical and horizontal resolution in the Earth's atmosphere between about 8 and 100 km, from the High Resolution Dynamics Limb Sounder (HIRDLS) instrument. \r\n\r\nThe instrument provides high vertical resolution information despite the fact that the optical beam is partially obstructed between the scan mirror and the aperture, probably by a piece of inner lining material that became detached during launch. HIRDLS science-team members have produced correction algorithms that make use of the partial view of the atmosphere (vertical scans around azimuth angle of 47 degree line of sight to the orbital plane, on the side away from the sun). In spite of this anomaly, HIRDLS has retained most of its scientific capabilities to support the Aura Mission.\r\n\r\nHIRDLS was carried on the Aura mission, part of NASA's Earth Observing System (EOS). Aura was launched on 15th July 2004 at 11:01:59 a.m. BST from Vandenberg Air Force Base, California. "
                }
            ],
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                5023,
                5024
            ],
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                72670,
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                72672
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        {
            "ob_id": 7784,
            "uuid": "617d94b7c8cf733519bbb4ba28778d6b",
            "short_code": "proj",
            "title": "ESA/BNSC MERIS Level 3 Data Generation and Dissemination service",
            "abstract": "Infoterra Ltd, backed by the European Space Agency (ESA) and the British National Space Centre (BNSC), has set up a Level 3 product generation and dissemination service. \r\n\r\nThe production service is based around the High level Product Generation (HiProGen) system which was initially developed under an ESA funded Research and Technology Development contract.  Upgraded to use Near Real-Time data and to work in the UK-PAC operational environment, the HiProGen system is now generating Level 3 composites of MERIS Level 2 geophysical data.  Level 3 products are generated in GeoTIFF format, on lat-long geocoded grids, accompanied by an XML metadata file and a JPEG browse image.",
            "publicationState": "published",
            "keywords": "ESA, Infoterra, Airbus, BNSC, UKSA",
            "status": "ongoing",
            "parentProject": null,
            "subProject": [],
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            "observationCollection": [
                {
                    "ob_id": 7781,
                    "uuid": "9ed8d70ffde5b757691f3d8124f13148",
                    "short_code": "coll",
                    "title": "MEdium Resolution Imaging Spectrometer (MERIS) Level 3 Terrestrial Chlorophyll Index (MTCI) Data from the European Space Agency (ESA) Envisat Satellite",
                    "abstract": "Global and regional composite (Level 3) products of the MEdium Resolution Imaging Spectrometer (MERIS) Level 2 geophysical data are generated by the UK Multi-Mission Product Archive Facility (UK-MM-PAF)/Infoterra Ltd (Part of Astrium GEO-Information Services). One of these products: MERIS Terrestrial Chlorophyll Index (MTCI) data are available from NEODC. The products are in GEOTIFF format, on latitude-longitude geocoded grids, and are accompanied by an XML-metadata file and a JPEG browse image."
                }
            ],
            "identifier_set": [
                5045,
                5044
            ],
            "responsiblepartyinfo_set": [
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                51873,
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        {
            "ob_id": 7790,
            "uuid": "cd9be3427347213de11041702d87055e",
            "short_code": "proj",
            "title": "(A)ATSR Validation Campaign",
            "abstract": "The prime objective of the (A)ATSR missions is to return accurate measurements of the global sea surface temperature. Hence, there have been joint efforts to validate the data. The (A)ASTR Validation Campaign is an important component of the (A)ATSR validation plan. During the six months since the launch of the ENVISAT, and throughout the mission, there have been several activities involving different to validate AATSR to ensure that the instrument is meeting its specification and returning SSTs within +/- 0.3 K",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
            "subProject": [],
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            "observationCollection": [
                {
                    "ob_id": 7787,
                    "uuid": "471721ced1a07accec75e116415cbd84",
                    "short_code": "coll",
                    "title": "(A)ATSR Validation Campaign - ISAR SST Data",
                    "abstract": "Skin Sea Surface Temperature data from the (A)ATSR Validation Campaign by ISAR. The prime objective of the (A)ATSR mission is to return accurate measurements of the global sea surface temperature. To ensure the accuracy of the measurement, there have been joint efforts to validate the data. One of these efforts is the (A)ATSR Validation Campaign which involves the deployment of the the Infrared Sea surface temperature Autonomous Radiometer (ISAR). The ISAR is designed to measure accurate and reliable skin sea surface temperature, with automated system of data collection, and its own protection from severe weathers. Data come from the ISAR mounted on cruiseferries MV Pride of Bilbao (2004-2010) and MV Cap Finistere (2010-2012) and were collected continuously throughout the cruises unless severe weather conditions required the instrument to be protected, which results in the prevention of the data collection."
                },
                {
                    "ob_id": 8310,
                    "uuid": "c8d3946637b79669129ffbc5b29e50c5",
                    "short_code": "coll",
                    "title": "(A)ATSR Validation Campaign - SISTeR SST Data",
                    "abstract": "Skin Sea Surface Temperature data from the (A)ATSR Validation Campaign by SISTeR. The prime objective of the (A)ATSR mission is to return accurate measurements of the global sea surface temperature. To ensure the accuracy of the measurement, there have been joint efforts to validate the data. One of these efforts is the (A)ATSR Validation Campaign which involves the deployment of the Scanning Infrared Sea surface Temperature Radiometer (SISTeR). The SISTeR is a self-calibrating radiometer that measures the skin sea surface temperature. The SISTeR was mounted on MS Color Festival and MS Prinsesse Ragnhild to return skin sea surface temperature in the North Sea in 2006, and was on-board RMS Queen Mary 2 collecting data from the Atlantic Ocean, Indian Ocean and Western Pacific between 2010 and 2014. Data was collected continuously throughout the cruises unless severe weather conditions required the instrument to be protected, which results in the prevention of the data collection."
                }
            ],
            "identifier_set": [
                5052
            ],
            "responsiblepartyinfo_set": [],
            "onlineresource_set": [
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        {
            "ob_id": 7803,
            "uuid": "18881496135820e8772da089385f53ff",
            "short_code": "proj",
            "title": "ESA ERS",
            "abstract": "The ESA (European Space Agency) ERS (Earth Resources Satellite) programme was composed of two missions, ERS-1 and ERS-2, which were launched into the same orbit in 1991 and 1995 respectively. The two spacecraft were designed as identical twins with one important difference – ERS-2 included an extra instrument (GOME) designed to monitor ozone levels in the atmosphere. Due to the satellites' shared orbit, a tandem mission was implemented following the launch of ERS-2, whereby ERS-2 passed the same point on the ground one day later than ERS-1.",
            "publicationState": "published",
            "keywords": "ERS, ATSR, ESA, EC, EU, GOME, ASAR",
            "status": "completed",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [
                221
            ],
            "observationCollection": [
                {
                    "ob_id": 7800,
                    "uuid": "b0decc428d6329dfc618cbe2cb569559",
                    "short_code": "coll",
                    "title": "ESA Synthetic Aperture Radar (SAR) and Advanced-SAR (ASAR) radar backscatter measurements",
                    "abstract": "The European Space Agency's (ESA) Synthetic Aperture Radar (SAR) instruments have been flown on board ERS-1, ERS-2 and the Advanced SAR (ASAR) on board Envisat satellite. The ERS-1, ERS-2 and Envisat satellites, launched in 1991, 1995 and 2002 respectively, are ESA multi-payload, Earth observation satellites. \r\n\r\nThis dataset collection contains Synthetic Aperture Radar (SAR) data from the European Remote Sensing (ERS) satellites ERS-1 and ERS-2, and Advanced SAR data from Envisat.  The ERS-1 mission began in 1991 and ended in 2000, and ERS-2 and Envisat are still ongoing.  SAR provides high resolution images, ocean wave spectra data and wind direction vector data.  They are available through the NEODC to UK based students only."
                },
                {
                    "ob_id": 10983,
                    "uuid": "939c6aa57f9bcd5340157cb013b036d8",
                    "short_code": "coll",
                    "title": "ATSR-1/2  Ungridded Brightness Temperature (UBT) data",
                    "abstract": "This dataset collection comprises Ungridded Brightness Temperature (UBT) products from both ATSR-1 and ATSR-2 on the respective ERS-1 & 2 platforms.  The ATSR (Along Track Scanning Radiometer) is an imaging radiometer providing images of the Earth from space. The ERS (Earth Resources Satellite) was the first ESA satellite observation programme comprising 2 polar orbiters.  The ERS-1 and 2 programmes commenced in 1991 and 1995 respectively with ERS1 ceasing operations in 2000 and ERS-2 in 2011.  \r\n\r\nThe UBT data is an ungridded brightness temperature/reflectance product in the SADIST-2 data format. The product contains ungridded, calibrated brightness temperatures or reflectances from all or some of the ATSR-1/ATSR-2 detectors. Although the product remains ungridded, it may optionally contain pixel latitude/longitude positions, and/or pixel X/Y (across-track/along-track) co-ordinates. Ungridded products contain pixels in the ATSR scan geometry. There is a correspondence between the contents of a record and the contents of an ATSR instrument scan.  ATSR data is notable in that it incorporated 2 look directions (nadir and forward) to aid in atmospheric correction and also incorporated consistent calibration for each scan/scene.\r\n\r\nATSR-1 and 2 data are available at CEDA to any registered UK user with correct authorisation from the ATSR-1/2 Science Team, and NERC Award reference.  Non NERC users should have ESA Category 1 clearance.  However, users are encouraged to use the ATSR-1/2 in the latest AATSR multimission format in preference to this UBT data.  CEDA remains the primary archive for this data."
                },
                {
                    "ob_id": 43181,
                    "uuid": "0723f37f8ea3474c8b3f7b1dbdf7618d",
                    "short_code": "coll",
                    "title": "ATSR-2 Multimission land and sea surface data, 4th reprocessing",
                    "abstract": "The Along-Track Scanning Radiometer (ATSR) missions were funded jointly by the UK Department of Energy and Climate Change  External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis ATSR 2 product [AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of  Earth Resource Satellite (ERS) ATSR 1 data and a precursor of Sentinel-3 SLSTR (Sea and Land Surface Temperature Radiometer) data.  ATSR2 is an evolution of ATSR1 in that it has additional visible and IR channels.  This AT_1_RBT product replaces the former L1B product [AT2_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. The 4th reprocessing of Envisat AATSR data was completed in 2022.\r\n\r\nThe data were acquired by the European Space Agency's (ESA) Envisat satellite, and the Centre for Environmental Data Analysis (CEDA) mirrors the data for UK users."
                },
                {
                    "ob_id": 43182,
                    "uuid": "b05e83750f7d408c897386757136e8d6",
                    "short_code": "coll",
                    "title": "ATSR-1 Multimission land and sea surface data, 4th reprocessing",
                    "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change  External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis ATSR1 product [AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of Earth Resource Satellite (ERS) ATSR data and a precursor of Sentinel-3 SLSTR data. It has replaced the former L1B product [AT1_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. The 4th reprocessing of Envisat AATSR data was completed in 2022.  The reprocessed data includes improvements to calibration and data format.\r\n\r\nThe data were acquired by the European Space Agency's (ESA) Envisat satellite, and the Centre for Environmental Data Analysis (CEDA) mirrors the data and allows for access via JASMIN."
                }
            ],
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                5063,
                5064
            ],
            "responsiblepartyinfo_set": [
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                185806,
                185823,
                185824,
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        {
            "ob_id": 7819,
            "uuid": "dc4b92f73c225f5cff79f832699cea02",
            "short_code": "proj",
            "title": "ENVISAT",
            "abstract": "An ARIANE 5 rocket launched the ENVISAT satellite on the 1st March, 2002 at 02:07:59 (CET) hrs. The satellite follows in the footsteps of ERS 1 and 2 in its mission to provide support for research into global warming and climate change and in pollution and disaster monitoring. It provides complete coverage of the earth within one to three days. Its nine instruments deliver data about the Earth's land, oceans, atmosphere and ice caps.",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
            "subProject": [
                {
                    "ob_id": 8028,
                    "uuid": "a6faccb24fc7379c04b965b994b721e0",
                    "short_code": "proj",
                    "title": "SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY)",
                    "abstract": "The Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) is one of the ten instruments onboard the Envisat satellite launched from Kourou (French Guyana) on the 28th of February 2002 and operated by the European Space Agency (ESA) until May 2012. SCIAMACHY measures transmitted, backscattered and reflected radiances from the atmosphere at high resolution (240 to 1700 nm, 2 microns and 2.4 microns). The instrument makes limb and nadir observations that can be combined. Its main objective is to provide global measurements of trace gases in the troposphere and the stratosphere.\r\n\r\nThe data issued by ESA include Level 1B (radiances) and Level 2 (derived quantities) products. They come in a number of versions: a near real time (nrt) version, a consolidated version, result of a first processing by ESA to eliminate bad data and perform a few basic checks, and fully reprocessed versions."
                }
            ],
            "imageDetails": [],
            "observationCollection": [
                {
                    "ob_id": 8536,
                    "uuid": "4a9da084adf4252752e5fe77a5cfd0a9",
                    "short_code": "coll",
                    "title": "Emission Spectra Data and Derived Products from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on-board the European Space Agency (ESA) Envisat Satellite",
                    "abstract": "The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) is one of the ten instruments onboard the Envisat satellite launched from Kourou (French Guyana) on the 28th February 2002 and operated by the European Space Agency (ESA). MIPAS is a Fourier transform spectrometer for the measurement of high-resolution gaseous emission spectra at the Earth's limb. It operates in the near- to mid-infrared, where many of the main atmospheric trace gases have important emission features. Its main objectives are to provide simultaneous and global measurements of the middle atmosphere dynamics, radiation budget and chemical composition (O3, H2O, CH4, N2O, HNO3, NO2), and to monitor stratospheric ozone and CFCs.\r\n\r\nThe data issues by ESA include both Level 1B (emission spectra) and Level 2 (derived quantities) products. They come in a number of versions: a near real time (nrt) version, a consolidated version, result of a first processing by ESA to eliminate bad data and perform a few basic checks, and fully reprocessed spectra. MIPAS is a Fourier transform spectrometer for the measurement of high-resolution gaseous emission spectra at the Earth's limb. It operates in the near- to mid-infrared spectra. \r\n\r\nThe data routinely archived at the NEODC is received from ESA through different routes (DDS, FTP, tapes). The archive currently includes:\r\n\r\nLevel 1B data (emission spectra)\r\nNRT data - September 2002 - May 2011\r\nconsolidated data - June 2002 - January 2004\r\nreprocessed data - July 2002 - April 2012 - processing versions v4.x (2002-2010) and v5.x (2002-2012)\r\nLevel 2 data (derived products)\r\nconsolidated data - July 2002 - February 2004\r\nreprocessed data - July 2002 - March 2004"
                },
                {
                    "ob_id": 7800,
                    "uuid": "b0decc428d6329dfc618cbe2cb569559",
                    "short_code": "coll",
                    "title": "ESA Synthetic Aperture Radar (SAR) and Advanced-SAR (ASAR) radar backscatter measurements",
                    "abstract": "The European Space Agency's (ESA) Synthetic Aperture Radar (SAR) instruments have been flown on board ERS-1, ERS-2 and the Advanced SAR (ASAR) on board Envisat satellite. The ERS-1, ERS-2 and Envisat satellites, launched in 1991, 1995 and 2002 respectively, are ESA multi-payload, Earth observation satellites. \r\n\r\nThis dataset collection contains Synthetic Aperture Radar (SAR) data from the European Remote Sensing (ERS) satellites ERS-1 and ERS-2, and Advanced SAR data from Envisat.  The ERS-1 mission began in 1991 and ended in 2000, and ERS-2 and Envisat are still ongoing.  SAR provides high resolution images, ocean wave spectra data and wind direction vector data.  They are available through the NEODC to UK based students only."
                }
            ],
            "identifier_set": [
                5074
            ],
            "responsiblepartyinfo_set": [
                32317
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            "onlineresource_set": [
                5127,
                5128,
                5124
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        },
        {
            "ob_id": 7827,
            "uuid": "97acc31e1530599d27c36d1e62afacab",
            "short_code": "proj",
            "title": "NCAVEO - Network for Calibration and Validation of EO data",
            "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector.",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [],
            "observationCollection": [
                {
                    "ob_id": 7824,
                    "uuid": "3013f5fdcb544848bb028cb1a31178e9",
                    "short_code": "coll",
                    "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection",
                    "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n"
                },
                {
                    "ob_id": 10852,
                    "uuid": "1bd42cf1d9aa4603843402f3a6af79bb",
                    "short_code": "coll",
                    "title": "Land Cover Map 2000 Data for the NCAVEO UK Calibration/Validation Test Sites",
                    "abstract": "Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 data are for use at the Network for Calibration And Validation of Earth Observations (NCAVEO) calibration/validation (cal/val) test sites for the illustration and explanation of processes involved in cal/val of earth observation data. The 5 UK test sites which have been identified as example cal/val sites are Barton Bendish, Chilbolton, Harwood Forest, Monks Wood and Thorney Island. The Land Cover Map datasets are available in 25 m derived raster format and Level 2 vector format."
                }
            ],
            "identifier_set": [
                5081,
                5082
            ],
            "responsiblepartyinfo_set": [
                32336
            ],
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        },
        {
            "ob_id": 8001,
            "uuid": "1d61e03d77f3366243db453a23659e1f",
            "short_code": "proj",
            "title": "ARC Project",
            "abstract": "The AATSR Reprocessing for Climate (ARC) project consists of Advanced Along-Track Scanning Radiometer multimission data which has been reprocessed using various algorithms and in-situ contemporaneous measurements, to provide update retrievals of Sea Surface Temperature (SST) and assess their accuracy. ",
            "publicationState": "published",
            "keywords": "ARC, Sea Surface Temperature",
            "status": "",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [
                114
            ],
            "observationCollection": [
                {
                    "ob_id": 7998,
                    "uuid": "ff8a7f27b827c108dd9756adffaaa942",
                    "short_code": "coll",
                    "title": "Advanced Along-Track Scanning Radiometer (AATSR) Re-processing for Climate (ARC) Dataset of Sea Surface Temperature Retrievals",
                    "abstract": "The AATSR Reprocessing for Climate (ARC) dataset consists of Advanced Along-Track Scanning Radiometer (AATSR) multimission data which has been reprocessed using various algorithms and in-situ contemporaneous measurements, to provide update retrievals of Sea Surface Temperature (SST) and assess their accuracy.  ARC reprocesses the ATSR1, ATSR2 and AATSR data using new cloud detection and SST retrievals. \r\n\r\nThe main ARC objective was to reduce regional biases in retrieved sea surface temperature (SST) to less than 0.1 K for all global oceans while creating a very homogeneous record with a stability (lack of drift in the observing system and analysis) of 0.05 K decade. \r\n\r\nThe Level 3 ARC data products are available for ATSR1, ATSR2 and AATSR and in the version 1 release are currently available from 1991 to 2009, producing a homogeneous record of sea surface temperature for this period.  Version 1.1 data are available. The previous version 1 data continues to be available. The ARC project was led by Chris Merchant of the University of Edinburgh/NCEO and funded by NERC and the UK Government."
                }
            ],
            "identifier_set": [
                5206,
                5207
            ],
            "responsiblepartyinfo_set": [
                32741
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        },
        {
            "ob_id": 8028,
            "uuid": "a6faccb24fc7379c04b965b994b721e0",
            "short_code": "proj",
            "title": "SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY)",
            "abstract": "The Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) is one of the ten instruments onboard the Envisat satellite launched from Kourou (French Guyana) on the 28th of February 2002 and operated by the European Space Agency (ESA) until May 2012. SCIAMACHY measures transmitted, backscattered and reflected radiances from the atmosphere at high resolution (240 to 1700 nm, 2 microns and 2.4 microns). The instrument makes limb and nadir observations that can be combined. Its main objective is to provide global measurements of trace gases in the troposphere and the stratosphere.\r\n\r\nThe data issued by ESA include Level 1B (radiances) and Level 2 (derived quantities) products. They come in a number of versions: a near real time (nrt) version, a consolidated version, result of a first processing by ESA to eliminate bad data and perform a few basic checks, and fully reprocessed versions.",
            "publicationState": "published",
            "keywords": "SCIAMACHY, Satellite, gases, atmosphere",
            "status": "completed",
            "parentProject": {
                "ob_id": 7819,
                "uuid": "dc4b92f73c225f5cff79f832699cea02",
                "short_code": "proj",
                "title": "ENVISAT",
                "abstract": "An ARIANE 5 rocket launched the ENVISAT satellite on the 1st March, 2002 at 02:07:59 (CET) hrs. The satellite follows in the footsteps of ERS 1 and 2 in its mission to provide support for research into global warming and climate change and in pollution and disaster monitoring. It provides complete coverage of the earth within one to three days. Its nine instruments deliver data about the Earth's land, oceans, atmosphere and ice caps."
            },
            "subProject": [],
            "imageDetails": [
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            ],
            "observationCollection": [
                {
                    "ob_id": 8025,
                    "uuid": "6877f4f100d22f750b44f4c3b7ada498",
                    "short_code": "coll",
                    "title": "SCIAMACHY: Global Radiance and Vertical Columns of Trace Gases Data",
                    "abstract": "The Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) was one of the ten instruments onboard the Envisat satellite launched from Kourou (French Guyana) on the 28th of February 2002 and operated by the European Space Agency (ESA) until May 2012. SCIAMACHY measures transmitted, backscattered and reflected radiances from the atmosphere at high resolution (240 to 1700 nm, 2 microns and 2.4 microns). The instrument makes limb and nadir observations that can be combined. Its main objective was to provide global measurements of trace gases in the troposphere and the stratosphere.\r\n\r\nThe data issued by ESA include Level 1B (radiances) and Level 2 (derived quantities) products. They come in a number of versions: a near real time (nrt) version, a consolidated version, result of a first processing by ESA to eliminate bad data and perform a few basic checks, and fully reprocessed versions."
                }
            ],
            "identifier_set": [
                5220,
                5221
            ],
            "responsiblepartyinfo_set": [
                32785,
                55965
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        },
        {
            "ob_id": 8044,
            "uuid": "7f1280cf215da6f8001eae5c2f019fe8",
            "short_code": "proj",
            "title": "Landmap Project",
            "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads.",
            "publicationState": "published",
            "keywords": "",
            "status": "completed",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [
                117
            ],
            "observationCollection": [
                {
                    "ob_id": 8041,
                    "uuid": "f5d48fb0372be25b737f92976e386f53",
                    "short_code": "coll",
                    "title": "Landmap: Elevation Earth Observation Collection",
                    "abstract": "The elevation data collected by the Landmap project consist of a 5m resolution Digital Terrain Model (DTM) for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC."
                },
                {
                    "ob_id": 8547,
                    "uuid": "42bcf75ae7f0b2a12d84dfa2216c31e5",
                    "short_code": "coll",
                    "title": "Landmap: Features Earth Observation Collection",
                    "abstract": "The Landmap project features data collection consists of building heights, classes of buildings (including place names) for the main conurbations of the UK, and Kinematic GPS (KGPS) data for over 6,400km of roads. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC."
                },
                {
                    "ob_id": 8212,
                    "uuid": "b918b02c3c2c55391f51e8465bd7621f",
                    "short_code": "coll",
                    "title": "Landmap: Optical Earth Observation Collection",
                    "abstract": "The optical data collected by Landmap consist of Advanced Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was optical aerial and satellite imagery. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC."
                },
                {
                    "ob_id": 8181,
                    "uuid": "47edf6f8790da0ebb5080feb810a630e",
                    "short_code": "coll",
                    "title": "Landmap: Radar Earth Observation Collection",
                    "abstract": "The radar data collected by the Landmap project consist of data from ERS (European Remote Sensing) Satellites 1 and 2 from 1995 to 1999, ENVISAT ASAR (Advanced Synthetic Aperture Radar) (available in image mode, alternating polarisation and wide swath from 2004 onwards) and ALOS PALSAR (Advanced Land Orbiting Satellite Phased Array Type L-band Synthetic Aperture Radar) data where Fine Beam Single (FBS), Fine Beam Dual (FBD) and Polarimetric (PLR) data are available from 2007 - 2009 for areas of the UK and Republic of Ireland. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was radar data. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC."
                },
                {
                    "ob_id": 8166,
                    "uuid": "bbe9b540281d29efb8e4fa3b82c2d801",
                    "short_code": "coll",
                    "title": "Landmap: Thermal imagery of England",
                    "abstract": "Thermal imagery for selected areas of England was taken by a FLIR SC 6000 HS thermal camera mounted on a specially designed survey aircraft over the course of 2009 and 2010 by The GeoInformation Group (TGG) as part of the Cities Revealed project. The data were then acquired by the Landmap project. Positioning data were also recorded so that the thermal data could be accurately geolocated in post-processing.  The thermal data were captured between 7pm to 11pm to avoid solar activity which would produce false readings and when most houses would be heated, in cold (less than 10C) dry weather so that the temperature differential between indoors and outdoors was maximum. The thermal camera has a resolution of <0.02C.\r\n\r\nThe Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data, such as thermal imagery, for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statement: Cities Revealed Copyright: The GeoInformation Group yyyy or UKMap Copyright: The GeoInformation Group yyyy"
                }
            ],
            "identifier_set": [
                5230
            ],
            "responsiblepartyinfo_set": [
                48510,
                32826,
                76374,
                76375,
                48511,
                48509,
                48512,
                48513,
                48514,
                48515,
                48516,
                48517,
                48522,
                48519,
                48520,
                48521,
                48518,
                48523,
                48524,
                48525
            ],
            "onlineresource_set": [
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                3716,
                3713,
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        },
        {
            "ob_id": 8175,
            "uuid": "eba1f035928bb74b99a50c5bede41472",
            "short_code": "proj",
            "title": "NCEO Theme 5: Cryosphere and Polar Oceans",
            "abstract": "This Theme in the National Centre for Earth Observation aims to use new EO data to quantify changes in the mass balance of the cryosphere and to develop new models to represent the relevant processes in coupled climate prediction models. \r\n\r\nIts priorities are to:\r\n- Quantify and understand recent mass changes in the marine and land cryosphere\r\n- Exploit three satellites, the US-led gravity satellite GRACE, the European Space Agency's GOCE (Gravity and steady-state Ocean Circulation Explorer) satellite, and Cryosat-2, to provide constraints on models of Arctic Ocean circulation and global sea-level rise\r\n- Provide a historical and future perspective on data gathered during the International Polar Year initiative\r\n- Develop key models of processes involving ice in the climate system",
            "publicationState": "published",
            "keywords": "",
            "status": "completed",
            "parentProject": {
                "ob_id": 5002,
                "uuid": "60e718d3f2957f742c89b2b4fc159718",
                "short_code": "proj",
                "title": "National Centre for Earth Observation (NCEO)",
                "abstract": "The National Centre for Earth Observation is a partnership of scientists and institutions, from a range of disciplines, who are using data from Earth observation satellites to monitor global and regional changes in the environment and to improve understanding of the Earth system so that we can predict future environmental conditions.\r\n\r\nNCEO's Vision is to unlock the full potential of Earth observation to monitor, diagnose and predict climate and environmental changes, ensuring that these scientific advances are delivered to the wider community embedded in world class science."
            },
            "subProject": [],
            "imageDetails": [
                130
            ],
            "observationCollection": [
                {
                    "ob_id": 8172,
                    "uuid": "65a7f71acfd09155c4d21a6491b834d6",
                    "short_code": "coll",
                    "title": "National Centre for Earth Observation (NCEO): Ice Sheet Dynamics Data",
                    "abstract": "Theme 5 (Cryosphere and Polar Oceans) of the National Centre for Earth Observation (NCEO) is aimed at resolving uncertainties in future climate and sea-level arising from behaviour of the cryosphere.  This dataset holds timeseries of Greenland glacier velocity fluctuations and Greenland glacier calving front fluctuations as maps and backscatter intensity images for the period March-July 2011. Timeseries of Antarctica glacier velocity and calving front fluctuations are expected later this year.  The velocity fields and backscatter data were transformed to map coordinates using the GLAS/ICESat 1 km Laser Altimetry Digital Elevation Model of Greenland which is provided at Polar Stereographic grids (DiMarzio, J., Brenner, A., Schutz, R., Schuman, A. & Zwally, H.J. (2007))."
                },
                {
                    "ob_id": 8455,
                    "uuid": "4f574acb1c1c2e0a0c410ab0b4812c3f",
                    "short_code": "coll",
                    "title": "National Centre for Earth Observation (NCEO): Sea Ice Elevation and Thickness and Ice Sheet Elevation Change Data",
                    "abstract": "Theme 5 - Cryosphere and Polar Oceans - of the National Centre for Earth Observation (NCEO) is aimed at resolving uncertainties in future climate and sea-level arising from behaviour of the cryosphere.  The data brings together altimetry, interferometry and gravimetry from satellites, coupled with numeric models. Ice thickness data used by Katharine Giles, Seymour Laxon and Andy Ridout in their paper \"Circumpolar thinning of Arctic sea ice following the 2007 record ice extent minimum\" (Geophysical Research Letters, Vol. 35, L22502, doi:10.1029/2008GL035710, 2008) are part of this dataset along with others to be submitted to the NEODC at a later time."
                }
            ],
            "identifier_set": [
                5275,
                8612
            ],
            "responsiblepartyinfo_set": [
                51853,
                51854,
                51855,
                51856,
                33085,
                54791
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            "onlineresource_set": [
                8042
            ]
        },
        {
            "ob_id": 8205,
            "uuid": "898523b8cca8690499ad531a02d09a0a",
            "short_code": "proj",
            "title": "Eumetsat Polar System",
            "abstract": "The Eumetsat Polar System (EPS) is Europe's first polar orbiting operational meteorological satellite system, and it is the European contribution to the Initial Joint Polar-Orbiting Operational Satellite System (IJPS). In this joint European-US polar satellite system, EUMETSAT has the operational responsibility for the \"morning orbit\" with the Metop satellites.",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
            "subProject": [
                {
                    "ob_id": 19624,
                    "uuid": "b5b75aa0921840afa4f88f0d61916020",
                    "short_code": "proj",
                    "title": "Infrared Atmospheric Sounding Interferometer (IASI)",
                    "abstract": "IASI main  aim was to payload instrument for the purpose of supporting Numerical Weather prediction. It provides information on the vertical structure of the atmospheric temperature and humidity in an unprecedented accuracy of 1 K and a vertical resolution of 1 km, which is needed to decisively improve NWP. \r\n\r\nIASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, and some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry. Data were directly acquired from Eumetsat and are held at the NERC Earth Observation Data Centre (NEODC)."
                }
            ],
            "imageDetails": [
                112
            ],
            "observationCollection": [
                {
                    "ob_id": 8202,
                    "uuid": "2adc7994200734f3503b796691293530",
                    "short_code": "coll",
                    "title": "Global Ozone Monitoring Experiment-2 (GOME-2): Vertical Profiles of Ozone and other Trace Gases",
                    "abstract": "The Global Ozone Monitoring Experiment–2 (GOME–2), is an optical spectrometer, fed by a scan mirror which enables across–track scanning in nadir, as well as sideways viewing for polar coverage and instrument characterisation measurements using the moon. The scan mirror directs light into a telescope, designed to match the field of view of the instrument to the dimensions of the entrance slit. This scan mirror can also be directed towards internal calibration sources or towards a diffuser plate for calibration measurements using the sun.\r\n\r\nThis dataset collection contains vertical profiles of ozone and other trace gases from the GOME-2 instrument on-board the Eumetsat Polar System (EPS) Metop-A satellite.\r\n\r\nGOME–2 comprises four main optical channels which focus the spectrum onto linear silicon photodiode detector arrays of 1024 pixels each, and two Polarisation Measurement Devices (PMDs) containing the same type of arrays for measurement of linearly polarised intensity in two perpendicular directions. GOME–2 senses the Earth’s Backscattered Radiance and Extraterrestrial Solar Irradiance in the ultraviolet and visible part of the spectrum (240 – 790 nm). The detected signals are preprocessed on board and then transmitted to ground for full data processing and generation of maps. The recorded spectra are used to derive a detailed picture of the total atmospheric content of ozone and the vertical ozone profile in the atmosphere, vertical profiles of ozone, nitrogen dioxide, water vapour, oxygen / oxygen dimmer, bromine oxide and other trace gases, as well as aerosols.\r\n"
                },
                {
                    "ob_id": 10885,
                    "uuid": "7767578df074e685932237a00ef319c5",
                    "short_code": "coll",
                    "title": "AVHRR-3: Radiometric images",
                    "abstract": "AVHRR-3 scans the Earth's surface in six spectral bands in the range of 0.58-12.5 microns, to provide day and night imaging of land, water and clouds and measurements of sea surface temperature, ice snow and vegetation cover.  The instruments were provided by the National Oceanic and Atmospheric Administration (NOAA) and is flown on the EPS-METOP series of satellites\r\n\r\nThis dataset collection contains data from the Advanced Very High Resolution Radiometer-3 (AVHRR-3) on board the Eumetsat Polar System (EPS) MetOp-A satellite. "
                },
                {
                    "ob_id": 8295,
                    "uuid": "ffdb2eae199faa5de3be5838ea92dd96",
                    "short_code": "coll",
                    "title": "Data from the Infrared Atmospheric Sounding Interferometer (IASI) on-board the Eumetsat Polar System (EPS) Metop-B Satellite",
                    "abstract": "Data from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on-board the Eumetsat Polar System Metop-B satellite. The IASI is designed to measure the infrared spectrum emitted by the Earth.\n\nIASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, and some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry.  Data were directly acquired from Eumetsat."
                }
            ],
            "identifier_set": [
                5289
            ],
            "responsiblepartyinfo_set": [
                33143
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            "onlineresource_set": [
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        },
        {
            "ob_id": 8334,
            "uuid": "4e5dea57e8f01c2824b2169683822b56",
            "short_code": "proj",
            "title": "Landsat",
            "abstract": "Landsat satellites have been collecting images of the Earth's surface for more than thirty years. NASA launched the first Landsat satellite in 1972, and the most recent one, Landsat 8, in 2013. Instruments onboard the satellites have acquired millions of images of the Earth. These images provide a unique resource for people who work in agriculture, geology, forestry, regional planning, education, mapping, and global change research.",
            "publicationState": "published",
            "keywords": "Landsat, Images, NASA",
            "status": "completed",
            "parentProject": null,
            "subProject": [],
            "imageDetails": [
                121
            ],
            "observationCollection": [
                {
                    "ob_id": 8577,
                    "uuid": "e964b463ced4f4198f365cccd2633e6e",
                    "short_code": "coll",
                    "title": "Landsat 4 and 5 Thematic Mapper (TM) imagery collection",
                    "abstract": "Landsat 4 and Landsat 5 carry both the TM (thematic mapper) and the MSS (multi-spectral scanner) sensors, though routine collection of MSS data was terminated in late 1992. The satellites orbit at an altitude of 705 km and provide a 16-day, 233-orbit cycle with a swath overlap that varies from 7 percent at the Equator to nearly 84 percent at 81 degrees north or south latitude. Landsat data is widely used in many fields including geology, agriculture, resource management, climate analysis etc. The Landsat program is jointly managed by the National Aeronautics and Space Administration (NASA) and the US Geological Survey (USGS). The NERC Earth Observation Data Centre (NEODC) now also holds the data. The cost of retrieving data from these satellites is now prohibitive and they are now obsolete; in 1993 Landsat 6 failed to achieve orbit but the launch of Landsat 7 in 1999 provided open source data at less than commercial prices. See Landsat 7 article.\r\n\r\nNote: Gaining access to the Landsat 4/5 TM data will also automatically give you access to the Landsat 7 etm data also held at the NEODC"
                },
                {
                    "ob_id": 8331,
                    "uuid": "aaba22410ce92057748f9863275a9a1b",
                    "short_code": "coll",
                    "title": "Landsat 7 Enhanced Thematic Mapper plus (ETM+) imagery collection",
                    "abstract": "The Landsat 7 program uses the Enhanced Thematic Mapper plus (ETM+) and provides contiguous data from Landsat 1 program from the early 1970's to present (2012). Landsat-7 is the most recent of the series of Landsat satellites, having been launched on 15th April 1999. It has an anticipated mission lifetime of 5+ years. The spacecraft is about 14 feet long (4.3 meters) and 9 feet (2.8 meters) in diameter. It consists of a spacecraft bus, built by Lockheed Martin Missiles and Space in Valley Forge, Pa., and the Enhanced Thematic Mapper Plus (ETM+) instrument, developed by Raytheon Santa Barbara Remote Sensing, California. The ETM+ (extended thematic mapper) sensor is an eight band multi-spectral scanning radiometer providing high-resolution images of the earth, detecting visible, near-infrared, short wave and thermal infrared frequency bands. The orbit follows that of earlier Landsat satellites and thus provides continuity of earth surface coverage claimed to be unparalleled by any other instrument. It possesses a worldwide reference system operating to a tolerance of +- 0.05 degrees that catalogues the earth's surface into 57,784 scenes each 183km by 170 km. Landsat data is widely used in many fields including geology, agriculture, resource management, climate analysis etc. The program is jointly run by the National Aeronautics and Space Administration (NASA) and the US Geological Survey (USGS). The NERC Earth Observation Data Centre (NEODC) now also holds the data.\r\n\r\nNote: Gaining access to the Landsat 4/5 TM data will also automatically give you access to the Landsat 4/5 TM data also held at the NEODC"
                },
                {
                    "ob_id": 12359,
                    "uuid": "62f41d30d9d344749b693e98cb79efc6",
                    "short_code": "coll",
                    "title": "Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIR): Land remote sensing data",
                    "abstract": "The Landsat 8 mission was a collaboration between the National Aeronautics and Space Administration (NASA) and the United States Geological Survey (USGS) which ensures the continued availability of Landsat data. \r\n\r\nThis dataset collection contains moderate resolution images of the Earth’s surface in the visible to thermal infrared. \r\n\r\nLandsat 8 carries two science instruments: the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS). The OLI provides measurements in the visible, near infrared and shortwave infrared including a panchromatic band with 15 m spatial resolution and multispectral bands with 30 m spatial resolution. The TIRS provide a new infrared channel (band 9) for cirrus detection and a new deep blue band (band 1) for coastal monitoring. The TIRS instrument provides measurements at 100 m resolution in two bands in the thermal infrared previously covered by a single wide band. Some data from 2014 is now held by the Centre for Environmental Data Analysis (CEDA)."
                }
            ],
            "identifier_set": [
                5346,
                5347
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            "responsiblepartyinfo_set": [
                33371,
                74184,
                74185,
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        {
            "ob_id": 8341,
            "uuid": "07f1e9f7ff781cc38ed6b3c1555050ef",
            "short_code": "proj",
            "title": "MEdium Resolution Imaging Spectrometer (MERIS)",
            "abstract": "The Medium Resolution Imaging Spectrometer (MERIS) is one of the ten instruments on board the Envisat satellite launched on the 28th of February 2002 from Kourou (French Guyana) and operated by the European Space Agency (ESA). MERIS is a 68.5 deg field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). It obtains a global coverage of the Earth in 3 days. Its main objective is to measure the sea colour and quantify the ocean chlorophyll content and sediment, thus providing information on the ocean carbon cycle and thermal regime. It is also used to derive the cloud top height, cloud optical thickness, aerosol and water vapour column. The ground spatial resolution of the instrument is 260 m x 290 m. Only reduced resolution data (1.04 km x 1.16 km) are archived at the NEODC.",
            "publicationState": "published",
            "keywords": "MERIS, Global Radiances, Sea Colour, Ocean Chlorophyll Content, Sediment, Cloud Parameters",
            "status": "",
            "parentProject": null,
            "subProject": [],
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            "observationCollection": [
                {
                    "ob_id": 8338,
                    "uuid": "f26559a9daeae9e6740811d3b3113716",
                    "short_code": "coll",
                    "title": "MEdium Resolution Imaging Spectrometer (MERIS) on-board the European Space Agency (ESA) Envisat Satellite: Global Radiances, Sea Colour, Ocean Chlorophyll Content, Sediment and Cloud Parameters",
                    "abstract": "The Medium Resolution Imaging Spectrometer (MERIS) is one of the ten instruments on board the Envisat satellite launched on the 28th of February 2002 from Kourou (French Guyana) and operated by the European Space Agency (ESA). MERIS is a 68.5 deg field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). It obtains a global coverage of the Earth in 3 days. Its main objective is to measure the sea colour and quantify the ocean chlorophyll content and sediment, thus providing information on the ocean carbon cycle and thermal regime. It is also used to derive the cloud top height, cloud optical thickness, aerosol and water vapour column. The ground spatial resolution of the instrument is 260 m x 290 m. Only reduced resolution data (1.04 km x 1.16 km) are archived at the NEODC. \r\n\r\nThis dataset collection contains Level 1B radiances and Level 2 retrieved parameters products from 2002-2012."
                }
            ],
            "identifier_set": [
                5352,
                5353
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            "responsiblepartyinfo_set": [
                74478,
                74479,
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                33388
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            "ob_id": 8349,
            "uuid": "46cc8da20687aa95febda281bebb4526",
            "short_code": "proj",
            "title": "Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Mission",
            "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles. This was to investigate direct and indirect aerosol forcings; to create better surface and atmospheric radiation flux datasets; and to analyse cloud-climate feedbacks in conjunction with other missions which take part in the A-Train, a group of polar-orbiting satellites passing through equator around 13:30 and 01:30. The satellite of this mission was launched in 28th April, 2006.",
            "publicationState": "published",
            "keywords": "CALIPSO, cloud, aerosol",
            "status": "",
            "parentProject": null,
            "subProject": [],
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                {
                    "ob_id": 8346,
                    "uuid": "c9401560af57cb76ffca4da0d86c8dcc",
                    "short_code": "coll",
                    "title": "CALIPSO: Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) data",
                    "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles. \r\n\r\nThis dataset collection contains cloud and aerosol profiles obtained using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument, the primary instrument on-board the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite. The Lidar uses two bands (1064 nm and 532 nm) of linearly-polarised laser pulses. A three-channel receiver measures the backscatter intensity at 1064 nm and two orthogonal polarisation components at 532 nm, which are used to derive aerosol size and hydration, and cloud ice/water phase. In combination with auxiliary data sources, cloud profiles and radiative fluxes can be derived. \r\n\r\nCloud and aerosol profiles derived using CALIPSO data are available dating back to June 2006, obtained from the NASA Langley Research Center Atmospheric Science Data Center. Versions 3.x (3.01, 3.02 and 3.30) of the data are held by the NEODC. Version 3-01 (13th June 2006 - 31st October 2011) is a full reprocessing of the mission data. Version 3-02 (1st November 2011 - 28th February 2013) marks the transition to a new cluster computing system without any changes in the algorithm. Version 3-30 (1st March 2013 - present) was released in April 2013. Two ancillary input files were updated. GEOS-5 was updated from version 5.2 to version 5.9.1, and the new version also incorporates enhanced Air Force Weather Authority (AFWA) Snow and Ice Datasets. \r\n\r\nFor Level 1B products, version 3-01 is an improvement over version 3-00, which is no longer available. The version 3 product includes improved algorithms implemented for 532-nm daytime calibration, laser energy interpretations, and interpolation of GMAO gridded data products to the CALIPSO orbit tracks; and updated and new data parameters. The version 3-01 product includes corrections to the 532 nm and 1064 nm extinction, backscatter, and ozone cross-sections. For Level 2 products, version 3-01 is the first version 3 release. Changes include improved cloud clearing code; an enhanced cloud-aerosol discrimination algorithm; improved daytime calibration procedures; and a new algorithm for assessing cloud thermodynamic phase. There were also other improvements specific to the type of product.\r\n"
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            ],
            "identifier_set": [
                5360,
                5361
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                33407,
                74202
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            "ob_id": 8443,
            "uuid": "02b11d959c771f995b062d904486e255",
            "short_code": "proj",
            "title": "International Satellite Land Surface Climatology Project Initiative II",
            "abstract": "The International Satellite Land-Surface Climatology Project (ISLSCP) is a project addressing land-atmosphere interactions. ILSCP Initiative II data collection was initiated in 1999 to extend the production of ISLCP global data sets.",
            "publicationState": "published",
            "keywords": "ISLSCP Climatology",
            "status": "completed",
            "parentProject": {
                "ob_id": 13249,
                "uuid": "31456e820e0542e28ceb1a89226e3936",
                "short_code": "proj",
                "title": "The Global Energy and Water Cycle Exchanges Project (GEWEX)",
                "abstract": "The Global Energy and Water Cycle Exchanges Project (GEWEX) is an integrated program of research, observations, and science activities that focuses on the atmospheric, terrestrial, radiative, hydrological, coupled processes, and interactions that determine the global and regional hydrological cycle, radiation and energy transitions, and their involvement in climate change. The International GEWEX Project Office (IGPO) is the focal point for the planning and implementation of all GEWEX activities."
            },
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            "observationCollection": [
                {
                    "ob_id": 450,
                    "uuid": "9759525d6ef164940e54bddeb7001dca",
                    "short_code": "coll",
                    "title": "International Satellite Land Surface Climatology Project, Initiative II (ISLSCP II) Dataset",
                    "abstract": "The International Satellite Land Surface Climatology Project (ISLSCP) has the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. The ISLSCP II dataset contains comprehensive data over the 10 year period from 1986 to 1995, from the International Satellite Land Surface Climatology Project (ISLSCP). The ISLSCP II datasets are compiled in four key areas: land cover, hydrometeorlolgy, radiation and soils. They are mapped to consistent grids (0.5 x 0.5 degrees for topography, 1 x 1 degrees for meteorological parameters). Some data have a grid size of 0.25 x 0.25 degrees. The temporal resolution for most data sets is monthly (however a few are at finer resolution - 3 hourly). This dataset is public.\r\n\r\nISLSCP is one of several projects of the Global Energy and Water Cycle Experiment (GEWEX), and has the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets.\r\n\r\nISLSCP was established in 1983 under the United Nation's Environmental Programme to promote the use of satellite data for the global land surface data sets needed for climate studies. In 1994, ISLSCP produced a five-volume CD-ROM collection of global data sets to support energy, water and biogeochemical cycling studies, covering 1987 - 1988 - the ISLSCP I Initiative. The ISLSCP I data sets are available via the BADC ISLSCP I page. The ISLSCP working group meet regularly to assist Goddard Space Flight Center staff to coordinate production and publication of the various data sets in the data collection."
                }
            ],
            "identifier_set": [
                5392,
                5393
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            "ob_id": 8448,
            "uuid": "f6c2c29e5d29eb559fee85837e6ad27e",
            "short_code": "proj",
            "title": "NOAA Polar Orbiting Satellite Series",
            "abstract": null,
            "publicationState": "published",
            "keywords": "",
            "status": "",
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            "observationCollection": [
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                    "ob_id": 8440,
                    "uuid": "547ac2223f87202f27a19f8266ca4358",
                    "short_code": "coll",
                    "title": "International Satellite Land Surface Climatology Project Initiative II (ISLSCP2): Multiple Resolution of a 17-year Record of the Fourier-Adjusted, Sensor and Solar Zenith Angle Corrected, Interpolated, Reconstructed (FASIR) Adjusted Normalized Difference Vegetation Index (NDVI) and Derived Biophysical Parameter Fields",
                    "abstract": "The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) dataset was detected with the Advanced Very High Resolution Radiometer (AVHRR) on-board the MetOp satellites. Derived biophysical parameter fields were generated to provide a 17-year satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. The FASIR NDVI data set was produced and provided by Dr. Sietse Los from the Department of Geography, University of Wales at Swansea. The production of the dataset and its associated biophysical parameters was funded by NASA's Land Surface Hydrology program and the Higher Education Funding Council for Wales (HEFCW) as a core component of the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II Data Collection.\r\n\r\nAVHRR FASIR data is restricted to academic research use only.\r\n"
                }
            ],
            "identifier_set": [
                5397
            ],
            "responsiblepartyinfo_set": [
                33586
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        {
            "ob_id": 8461,
            "uuid": "a2c30ddf9eb6fe3c979faa0866f28b37",
            "short_code": "proj",
            "title": "SHAC 2000 Campaign",
            "abstract": "Data from the Synthetic Aperture Radar and Hyperspectral Airborne campaign (SHAC) run by the Natural Environment Research Council (NERC) and the British National Space Centre (BNSC). The campaign intended to provide support for industrial and academic research into earth resource and environmental monitoring. The campaign was managed by NRSC- now Infoterra. Fourteen different locations were flown in May and June 2000 in the campaign (see Fig.1), logistical constraints requiring two aircraft be used to fly the two instruments individually.",
            "publicationState": "published",
            "keywords": "SHAC2000",
            "status": "completed",
            "parentProject": null,
            "subProject": [],
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                    "ob_id": 8458,
                    "uuid": "1db3e88545c077fdc469c02cc27e4c9b",
                    "short_code": "coll",
                    "title": "Synthetic Aperture radar and Hyperspectral airborne Campaign (SHAC2000)",
                    "abstract": "Data from the Synthetic Aperture Radar and Hyperspectral Airborne campaign (SHAC) run by the Natural Environment Research Council (NERC) and the British National Space Centre (BNSC). The campaign intended to provide support for industrial and academic research into earth resource and environmental monitoring. The campaign was managed by NRSC- now Infoterra. Fourteen different locations were flown in May and June 2000 in the campaign (see Fig.1), logistical constraints requiring two aircraft be used to fly the two instruments individually.\r\n\r\nThe campaign involved a large number of researchers from NERC-EPFS and CEH, BAE Systems and InfoTerra on the ground collecting information vital to making best use of the airborne data: simultaneous spectral, sun photometer and GPS measurements and the installation by DERA, now QinetiQ, of corner reflectors to gain geo-coding of the E-SAR data. The outcome was previously unavailable, state-of the art, airborne data of the UK, which informed 11 research projects.\r\n\r\nThe following list details the various SHAC2000 projects flown\r\n\r\nScotSHAC campaign in Glen Affric\r\nWoodhouse, I., University of Edinburgh\r\nFractional ground cover estimation from hyperspectral radiometry.\r\nDavenport, I., University of Reading\r\nRadar measurements of wheat crops at the Boxworth site.\r\nQuegan, S., University of Sheffield\r\nLand Surface Biophysical Parameters from Multi-angular Hyperspectral and SAR data.\r\nLewis, P. , UCL\r\nCarbon Offset Verification of Forest Ecosystems.\r\nDawson, T. , University of Oxford\r\nRemote Sensing of Leaks from Aqueducts.\r\nMalthus, T.,University of Edinburgh\r\nIntegration of SAR and hyperspectral airborne data for quantitative analysis of estuarine convergent fronts and water quality (ref: BNSC SHAC 99/004).\r\nFerrier, G., University of Hull\r\nSynergy of HyMap and digital elevation data for the analysis of upland peat erosion pattern and composition.\r\nMcMorrow, J., University of Manchester\r\nThetford Forest: Retrieval of biodiversity indicators for temperate forest from remote sensing; and Monks Wood: Quantifying habitat structure and quality for woodland birds.\r\nBalzter, H., CEH- NERC\r\nRemote sensing of hydrology and vegetation dynamics in the New Forest.\r\nMilton, E., University of Southampton\r\nAssessing the environmental impact of historical basemetal mining at Parys Mountain, Anglesey, with HyMap data.\r\nLamb, A. and Denniss, A., Infoterra Ltd."
                }
            ],
            "identifier_set": [
                5408,
                5409
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            "responsiblepartyinfo_set": [
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                55851,
                55852,
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        {
            "ob_id": 8587,
            "uuid": "fa51a7a873b090562122b405e9742a3d",
            "short_code": "proj",
            "title": "NCEO Theme 2 Sub theme 6: Quantification of ocean biogeochemistry and carbon fluxes",
            "abstract": "Ocean colour (OC) or visible spectral radiometry deals with light re-emerging from the ocean after scattering and absorption of incident sunlight by particles, phytoplankton (energising photosynthesis), dissolved and detrital organic C compounds (from lysis, respiration and photo-chemical breakdown) and water.  Remotelysensed OC data provides an integrated quasi-steady state observation of the whole of the global ocean and all \r\ntypes of ocean environments (seasonally-variable nutrient & light climates): oligotrophic gyres; equatorial ecosystems; mid and high-latitude, seasonally-productive systems; highly-productive upwelling and convergent zones. Primary production (PP) derived from OC data gives an estimate of the total C sequestered by phytoplankton (~35-70 Gt C yr-1\r\n).  Hitherto EO-based PP models have used chlorophyll (Chla) as the state variable. New methods invoke Inherent Optical Properties (IOPs; the spectral absorption & \r\nbackscattering of the ocean).  Using IOP models and IOP-OC data, we will describe the pelagic ocean C-cycle, with improved PP models, re-cycling rates and respiration, to: \r\n(i) determine phytoplankton function types (PFTs) used in ecosystem models; (ii) provide parameter data for ecosystem models; (iii) partition the pelagic C-pool into particulate, dissolved, organic and inorganic components.",
            "publicationState": "published",
            "keywords": "NCEO, carbon, biogeochemistry",
            "status": "completed",
            "parentProject": {
                "ob_id": 5001,
                "uuid": "faebf6fc6c9d654321ce2f4110f8bd8d",
                "short_code": "proj",
                "title": "NCEO Theme 2: Carbon Cycle",
                "abstract": "This Theme in the National Centre for Earth Observation aims to understand the feedbacks between physical and biological processes involving the carbon cycle, in order to predict changes in carbon fluxes at the Earth's surface.\r\n\r\nIt's priorities are to:\r\n- Combine satellite measurements of the Earth's surface and atmosphere with sophisticated models of the land and ocean that mimic life in these ecosystems\r\n- Vastly increase knowledge of the role of fire in the carbon cycle\r\n- Accurately account for the carbon balance in the tropics to provide strong support for the negotiations on the post-Kyoto Protocol, particularly regarding deforestation\r\n- Provide complete tracking of carbon and water through land ecosystems into the atmosphere\r\n- Deliver a better quantification of carbon sources and sinks in the oceans\r\n- Understand shelf seas (the shallow seas surrounding the continents) which are rich in life and so draw down much carbon dioxide from the atmosphere. Other CO2 'hot spots' include the high latitudes: the Arctic and the Antarctic. Earth observation satellites can help establish the importance of these areas.\r\n- Help build a high-resolution global, regional and UK carbon-monitoring system."
            },
            "subProject": [],
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            "observationCollection": [
                {
                    "ob_id": 8584,
                    "uuid": "049ff74d15b0ef759e966b275b8d39bb",
                    "short_code": "coll",
                    "title": "Global 10 Year Monthly Climatology and Monthly Composites of Phytoplankton Size Class from SeaWiFS Analyses as part of the National Centre for Earth Observation (NCEO) Theme 2 Sub-theme 6",
                    "abstract": "This dataset collection contains a 10 year monthly climatology and monthly composites of the fractional contributions of three phytoplankton size classes (micro-, nano- and picoplankton) over the globe for the period Sep 1997-2007, as produced by the Plymouth Marine Laboratory (PML) using SeaWIFs data. Accompanying maps are also available. \r\n\r\nThis dataset contributes to fulfilling the first objective of the National Centre for Earth Observation (NCEO) Theme 2 programme (Monitoring, Diagnosis and Prediction of the Global Carbon-Cycle), Quantification of ocean biogeochemistry and carbon fluxes sub-theme 6 (ST6): Quantify the global oceanic organic C cycle using OC data, partitioned into phytoplankton (pigments, biomass, size structure &amp; PFTs), particulate organic C, coloured dissolved organic matter (CDOM), dissolved and particulate inorganic components.\r\n\r\nUnderstanding the interaction between phytoplankton and the in-water light field is crucial to model ocean primary production and to improve our comprehension of the role of biological processes in the ocean&#8211;carbon cycle. The absorption coefficient of phytoplankton is a fundamental quantity in marine primary production models because:\r\n - it alters the transmission of light underwater; \r\n - it modifies the photosynthetic response of phytoplankton to available light; \r\n - it can be used as a direct indicator of phytoplankton abundance and phytoplankton size;\r\n - it can be used as an indicator of environmental variability\r\n\r\nIt is well known that the phytoplankton absorption coefficient is a function of the dominant phytoplankton pigment, chlorophyll-a, and that this relationship is directly linked to changes in both pigment composition and size structure.\r\n"
                }
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                5495,
                5496
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                51846,
                51847,
                51848,
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            "ob_id": 8594,
            "uuid": "65f9f71976e55e5f5e9ecc0963baf40a",
            "short_code": "proj",
            "title": "NCEO Theme 3: Atmosphere",
            "abstract": "This Theme in the National Centre for Earth Observation aims, by developing an integrated approach to the analysis of satellite measurements, to provide new information on atmospheric composition and aerosols for air-pollution forecasting and testing climate models.\r\n\r\nIts priorities are to: \r\n- Generate data on trace gases and small particles, both natural and man-made, also known as aerosols, in the troposphere (0-11km) and the lower stratosphere (around the altitude commercial jets fly)\r\n- Improve understanding of where these gases and particles come from and how they move in the atmosphere\r\n- Test the UK's chemistry-climate model\r\n- Work with governments across Europe to help monitor pollution and forecast air quality",
            "publicationState": "published",
            "keywords": "",
            "status": "ongoing",
            "parentProject": {
                "ob_id": 5002,
                "uuid": "60e718d3f2957f742c89b2b4fc159718",
                "short_code": "proj",
                "title": "National Centre for Earth Observation (NCEO)",
                "abstract": "The National Centre for Earth Observation is a partnership of scientists and institutions, from a range of disciplines, who are using data from Earth observation satellites to monitor global and regional changes in the environment and to improve understanding of the Earth system so that we can predict future environmental conditions.\r\n\r\nNCEO's Vision is to unlock the full potential of Earth observation to monitor, diagnose and predict climate and environmental changes, ensuring that these scientific advances are delivered to the wider community embedded in world class science."
            },
            "subProject": [],
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                {
                    "ob_id": 14469,
                    "uuid": "bdea6532df314effb9addc6bca1e9f55",
                    "short_code": "coll",
                    "title": "STFC RAL methane retrievals from MetOp IASI",
                    "abstract": "This dataset collection contains various versions of the STFC RAL Infrared Atmospheric Sounding Interferometer (IASI) methane dataset , which contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4). The dataset also includes column-averaged water vapour (H2O), a scale factor for the HDO (water vapour isotopologue) volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1 by the Rutherford Appleton Laboratory (RAL) IASI optimal estimation methane retrieval scheme. The dataset also contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels. \r\n\r\nData were produced by the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).\r\n\r\nThe development of the STFC RAL methane retrieval was funded by the Natural Environment Research Council (NERC) through its National Centre for Earth Observation (NCEO) with additional funding from EUMETSAT."
                },
                {
                    "ob_id": 8591,
                    "uuid": "48bb74ee7cf579712c04be88f3bd5e67",
                    "short_code": "coll",
                    "title": "NCEO atmospheric profiles retrieved from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument onboard ESA's Envisat satellite",
                    "abstract": "This dataset contains atmospheric profiles from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on Envisat, processed with the Oxford L2 retrieval algorithm MORSE. This differs from the European Space Agency L2 products in that it uses an optimal estimation approach rather than a regularised least squares fit, and has additional molecules. The L1B spectra are made available by ESA approximately 2 weeks after acquisition and L2 processing takes another week or so depending on the number of orbits and observation mode.\r\n\r\nThe dataset was produced by Anu Dudhia, University of Oxford and National Centre for Earth Observation (NCEO).\r\n\r\nIn the first processing version (v1.00-1.10) the following L2 products are generated: pT, H2O, O3, HNO3, CH4, N2O, NO2 (ie the ESA products), plus CFC-11, CFC-12, ClONO2, N2O5 and CO. However for the Middle Atmosphere (MA) and Upper Atmosphere (UA) mode data, only the ESA products plus CO are produced."
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                5502
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            "responsiblepartyinfo_set": [
                56134,
                56135,
                56136,
                33957
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            "ob_id": 8607,
            "uuid": "f001792bb1dcbb3c36730f0550bc4743",
            "short_code": "proj",
            "title": "ARSF - Flight GB05/16: Birmingham area",
            "abstract": "ARSF project GB05/16. PI: M. Cutler. Site: Birmingham.",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
            "subProject": [],
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            "observationCollection": [
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            "title": "ARSF - Flight GB05/15: Fingringhoe area",
            "abstract": "ARSF project GB05/15 led by A Wilson. Site: Fingringhoe.",
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            "title": "ARSF - Flight GB2004/21: Chilbolton area",
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            "short_code": "proj",
            "title": "ARSF - Flight 03/20: Glass Sat Cal Project",
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            "short_code": "proj",
            "title": "ARSF - Flight 04/999: Test - Monks Wood area",
            "abstract": "ARSF project 04/999: Monks Wood Test.",
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                    "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM):  ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor."
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            "ob_id": 8713,
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            "short_code": "proj",
            "title": "ARSF - Flight 00/test: Monks Wood area",
            "abstract": "ARSF project 00/test led by ARSF staff. Site: Monks Wood.",
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                    "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data",
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            "ob_id": 8717,
            "uuid": "33183d6af96abe65424d880d3d261acc",
            "short_code": "proj",
            "title": "ARSF - Flight 97/18: Auchencarroch, Tarbolton Ayrshire and Greengairs areas",
            "abstract": "ARSF project 97/18. Distinguishing the effects of landfill contaminants from those of other environmental factors in vegetation stress. PI: A.M. Folkard. Site: Auchencarroch, Tarbolton Ayrshire and Greengairs near Airdrie.",
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                    "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data",
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            "ob_id": 8721,
            "uuid": "4287db54ff0a6b4698cd66060a4a2a45",
            "short_code": "proj",
            "title": "ARSF - Flight 99/01: Griffin Forest, Alice Holt area",
            "abstract": "ARSF project 99/01. PI: P. Levy, Site: Alice Holt, Griffin Forest. Project: Airborne remote sensing of forest CO2 fluxes",
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                    "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data",
                    "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM):  ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor."
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            "uuid": "19a82f987178bddc0b9cf488ae4ce2e1",
            "short_code": "proj",
            "title": "ARSF - Flight 99/08: Grimsby, Immingham and Hessle areas",
            "abstract": "ARSF project 99/08. PI: G. Ferrier. Site: Grimsby, Immingham, Hessle. Project: Application of airborne remote sensing data in the monitoring of leachate leakage from landfill sites.",
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                    "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data",
                    "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM):  ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor."
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            "ob_id": 8729,
            "uuid": "7fdb0c2c82dbd8cad89c5a4517dc8ffc",
            "short_code": "proj",
            "title": "ARSF - Flight 98/06: Conington area",
            "abstract": "ARSF project 98/06. PI: P. Cross. Site: Conington.",
            "publicationState": "published",
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            "status": "",
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                    "short_code": "coll",
                    "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data",
                    "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM):  ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor."
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            "ob_id": 8733,
            "uuid": "613af5b9298911ea263f1849cdd7a0ee",
            "short_code": "proj",
            "title": "ARSF - Flight 98/xx: North West Norfolk area",
            "abstract": "ARSF project 98/xx. Site: North West Norfolk.",
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                    "short_code": "coll",
                    "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data",
                    "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM):  ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor."
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            "ob_id": 8737,
            "uuid": "188cb5967340a6d5bdbc650e8f22e61c",
            "short_code": "proj",
            "title": "ARSF - Flight 94/09: Glensaugh, Sourhope (North), Sourhope (South), Drayton, Wytham, Rothamsted, Cairngorms, Snowdonia, Porton, Alice Holt, North Wyke and Moor House areas",
            "abstract": "ARSF project 94/09: Evaluating land use change at sites in the UK Environmental Change Network. PI: J.Sykes. Sites: Glensaugh, Sourhope (North), Sourhope (South), Drayton, Wytham, Rothamsted, Cairngorms, Snowdonia, Porton, Alice Holt, North Wyke, Moor House.",
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                    "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM):  ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor."
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            "uuid": "fb9fc433206f5dfcf8191e3c44fd4154",
            "short_code": "proj",
            "title": "ARSF - Flight 95/35: Alps Italy and Austria, Ecomont area",
            "abstract": "ARSF project 95/35: Investigation of montane vegetation using ARS. PI: N.Bayfield. Site: Ecomont, Alps - Italy and Austria.",
            "publicationState": "published",
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                    "uuid": "55d1c9b6e7a4ce41b7a6f8416b7b6261",
                    "short_code": "coll",
                    "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data",
                    "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM):  ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor."
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                5621
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            "uuid": "5e18896d5d1d4d6f869057bf6c023cab",
            "short_code": "proj",
            "title": "ARSF - Flight 97/21: Tweed Estuary and Humber Estuary",
            "abstract": "ARSF project 97/21: LOIS RACS(C). PI: R.Howland, D.Plummer, K.Morris. Site: Tweed Estuary (LOIS), Humber Estuary (LOIS).",
            "publicationState": "published",
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                    "uuid": "55d1c9b6e7a4ce41b7a6f8416b7b6261",
                    "short_code": "coll",
                    "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data",
                    "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM):  ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor."
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            "ob_id": 8749,
            "uuid": "a9d588cbdc4373eb0ecb2b6ff4682013",
            "short_code": "proj",
            "title": "ARSF - Flight 97/test: Denmark, Storebaelt Bridge area",
            "abstract": "ARSF 97/test project. Site: Storebaelt Bridge, Denmark.",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
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                    "ob_id": 8604,
                    "uuid": "55d1c9b6e7a4ce41b7a6f8416b7b6261",
                    "short_code": "coll",
                    "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data",
                    "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM):  ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor."
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            "uuid": "c183c5c5eac942288bc7bf658f10dd55",
            "short_code": "proj",
            "title": "ARSF - Flight 95/16: Spain, Rodalquilar area",
            "abstract": "ARSF project 95/16: Stability of mine tailings, Rodalquilar, Spain. PI: A.E.Mather. Site: Rodalquilar.",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
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                    "ob_id": 8604,
                    "uuid": "55d1c9b6e7a4ce41b7a6f8416b7b6261",
                    "short_code": "coll",
                    "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data",
                    "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM):  ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor."
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            "uuid": "f4b3f5d6e6cc4e285ec678ee7398792f",
            "short_code": "proj",
            "title": "ARSF - Flight 95/20: Tweed Estuary",
            "abstract": "ARSF project 95/20: Coastal attachment of the Tweed river plume. PI: P.A.Davies. Site: Tweed Estuary.",
            "publicationState": "published",
            "keywords": "",
            "status": "",
            "parentProject": null,
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                    "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data",
                    "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM):  ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor."
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