Project List
Get a list of Project objects. Projects have a 1:1 mapping with Observations.
### Available end points:
- `/projects/` - Will list all Projects in the database
- `/projects.json` - Will return all Projects in json format
- `/projects/<object_id>/` - Returns Projects object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `uuid`
- `status`
- `title`
- `keywords`
### How to use filters:
- `/projects/?uuid=ab4ca8d019d148f78afba1cd20872bdd`
- `/projects/?title__icontains!=Project details`
- `/projects.json?status=ongoing`
GET /api/v2/projects/?format=api&offset=700
{ "count": 1624, "next": "https://api.catalogue.ceda.ac.uk/api/v2/projects/?format=api&limit=100&offset=800", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/projects/?format=api&limit=100&offset=600", "results": [ { "ob_id": 10771, "uuid": "d6d1258310219e721b0183c9c61a17c3", "title": "ARSF - Flight IPY07/13: Iceland, Skeidararjokull area", "abstract": "ARSF PROJECT IPY07/13: Characterisation of ice-marginal landscape change and proglacial fluvial response to rapid glacier retreat, Skeidararjokull, Iceland using airborne LiDAR. Led by: Dr. Andrew Russell, School of Geography, Politics and Sociology, Newcastle University, Daysh Building, \r\nNewcastle upon Tyne, NE1 7RU. Location: SE Iceland.\r\n\r\nOur understanding of the relationship between glacier fluctuations and changes in the glacial and proglacial fluvial system is derived predominantly from the study of relatively small alpine glaciers or from interpretation of the landform and sedimentary record. Skeidararjkull is a large surge-type glacier which is subject to high magnitude glacier outburst floods (jkulhlaups). Due to its scale and complexity the Skeidararjull glacial system is considered a suitable analogue for lower latitude Quaternary ice-masses. This project aimed to characterise the rapidly evolving ice-marginal landscape of Skeidararjkull , Iceland. Acquisition of LiDAR-derived DEMs and aerial photo coverage of the ice-marginal zone of Skeidararjkull provided an essential benchmark data set, enabling rates of elevation change, landform development and sediment transfer to be quantified. Fieldwork-derived sedimentary data collected annually since 1996 at Skeidararjkull allowed better understanding of 1) the response of fluvial system to glacier retreat and 2) the role of glacier surges and jkulhlaups in creating distinctive landforms. This project provided a vital data set which can be used for hydraulic modelling of jkulhlaups allowing prediction of future flood paths and impacts.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7148/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7149/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38849/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145256/?format=api" ] }, { "ob_id": 10775, "uuid": "2f5ee7471a1c8e5efa61b7e8b35cc6fb", "title": "ARSF - Flight IPY07/10: Greenland, Russel Glacier", "abstract": "ARSF project IPY07/10: An investigation of the link between accelerated ice discharge and surface melting at the Greenland Ice Sheet; Led buy Dr. Andrew Shepherd, School of Geosciences, University of Edinburgh, EH8 9XP. Location: Russell Glacier.\r\n\r\nThis proposal was to record airborne LiDAR and camera observations to investigate the extent to which the processes of accelerated glacier discharge (e. g. Rignot and Kanagaratnam, 2006) and increased surface melting (e. g. Box et. al,2 006) at the Greenland Ice Sheet are linked. Specifically, we proposed (i) a survey of supra-glacial lake geometry to constrain a model of lake evolution and discharge, and (ii) a survey of glacier discharge downstream of supra-glacial lakes to determine the extent to which both land- and marine-terminating glaciers have experienced secular and seasonal velocity fluctuations. \r\n\r\nTogether, these experiments will provide data sufficient to assess the current and future stability of the Greenland Ice Sheet to projected (Church and Gregory, 2001)climate warming.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7151/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7152/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144618/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145194/?format=api" ] }, { "ob_id": 10779, "uuid": "bdcfe9516339baf9534f640fe3725632", "title": "ARSF - Flight ET07/05: Ethopia, Mojo area", "abstract": "ARSF project ET07/05: Determining engineering parameters of expansive soils using an integrated airborne and field spectroscopy and geophysical dataset. Led by: Dr. Graham Ferrier, Department of Geography, University of Hull, Hull, HU6 7RX. Location: Mojo, Ethopia.\r\n\r\nConventional methods of assessing the geotechnical properties of expansive soils are expensive, time consuming and provide only sparse point samples. The presence, nature and spatial distribution of these soils can be overlooked leading to inadequate surveying of construction sites, inappropriate design specifications and subsequently result in damage to life and property. There was therefore an urgent need to develop a methodology that could accurately map these soils types, over large areas at low cost. Reflectance spectroscopy has been demonstrated to have the capability to identify and quantify specific engineering parameters of expansive soils. As the geotechnical problems of expansive soils are not only lateral, three-dimensional subsurface information was required and the vertical variation in properties of expansive soils needed to be resolved to provide engineers with more information. The aim of this project was to develop empirical models for quantitative measurement of engineering parameters of expansive soils from spectral reflectance. Ground geophysical survey data were integrated with the results of the remote sensing study to develop a generalised 3D subsurface profile model to resolve the thickness and variability in properties of expansive soils. Integration of results from the airborne study was used to calibrate measurements from satellite imagery.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7155/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145258/?format=api" ] }, { "ob_id": 10783, "uuid": "7213b24854afb4a642c60f34130286b6", "title": "ARSF - Flight IPY07/09: Iceland, Krafla area", "abstract": "ARSF project IPY07/09: The relationship between faulting and magmatism in the Krafla rift segment, Iceland. Led by: Dr. Tim Wright, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT. Location: Krafla Glacier, Iceland.\r\n\r\nIceland sits on the Mid-Atlantic Ridge (MAR) the boundary between the American and Eurasian plates, which are moving slowly apart at 2 cm/yr, the speed your fingernails grow. Although the motion of the two plates is steady in the plate interiors, it is highly episodic in the plate boundary zones. The Krafla segment of the plate boundary is 80 km long, and was highly active from 1975 to 1984 when the two plates moved apart by up to 9 metres in places, and a series of dramatic volcanic eruptions (the Krafla fires; Figure 1) changed the landscape [e.g. Tryggvason, 1984; Sigmundsson, 2006]. We proposed to acquire new high-resolution data sets over Krafla to investigate the relationship between the surface topography, cut by many faults and fissures, the magma that was erupted at the surface, and the larger volume of magma that was intruded below the surface. This complemented other knowledge about Krafla allowing detailed insights into the link between faulting and magmatism. The work in Krafla had direct relevance for our funded work in Afar, Ethiopia, where a similar sequence of events began in September 2005, and where the NERC ARSF acquired data in January 2008. The two data sets helped us determine how tectonic plates move apart and new crust grows.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7157/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7158/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145259/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145260/?format=api" ] }, { "ob_id": 10787, "uuid": "6e6190b01d8c4b1d312761d8a6209495", "title": "ARSF - Flight ET07/06: Ethopia, Konso area", "abstract": "ARSF project ET07/06: Land Use Patterns and Change in Konso, Ethiopia. Led by: Dr. Ian Willis, Scott Polar Research Institute, University of Cambridge, Lensfield Rd, Cambridge CB2 1ER. Location: Konso, Ethiopia.\r\n\r\nIn the Konso region of Ethiopia local people have integrated agro-forestry, terraces, and other soil and water conservation practices in order to cultivate food over many centuries. Research, primarily in the social sciences, suggests that population and climate pressures are forcing people to migrate from the traditional highland areas to lowland areas where climate and soils are even more marginal for agriculture. There are, however, no data that can be used to quantify the patterns of settlement, natural vegetation, agricultural practices and soil / water conservation measures and their changes through time.\r\n\r\nThe project's proposed study was to combine environmental and social science methodologies to investigate such patterns and changes. Concentrating on a 10x30km region of Konso, the project sought to obtain airborne LiDAR data, hyperspectral reflectance data and vertical photographs. Ground truthing was used to classify the hyperspectral data, and the combined data sets used to generate digital maps of topography (and derivatives), land use (settlements, trees / shrub species, crop types, terracing, irrigation patterns), soil moisture and erosion. The project also sought to investigate the relationships between these variables. Comparisons with geo-rectified historic air photographs together with the results of semi-structured interviews with local farmers enabled the project to assess the extent of settlement and land use changes over the last few decades and the extent to which they are sustainable.", "keywords": "land use, changes, hyperspectral", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7160/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7161/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141555/?format=api" ] }, { "ob_id": 10791, "uuid": "57230be2b7e23625c8e71890855e48de", "title": "ARSF - Flight 90/44: Somerset Lakes - Chilton Trinity, Blagdon, Chew Valley, Emborough and Shearwater", "abstract": "ARSF project 90/44. Client: White (NERC). Site: Somerset Lakes (Chilton Trinity, Blagdon, Chew Valley, Emborough, Shearwater)", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7163/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7164/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38894/?format=api" ] }, { "ob_id": 10795, "uuid": "c7b64499838b3701c7eda4d69a9a1f6b", "title": "ARSF - Flight GB08/02: Delamere Wood area", "abstract": "ARSF project GB08/02: Integrating Airborne Lidar and Terrestrial Laser Scanning to characterise phenological changes in forest vegetation. Led by: Prof. Mark Danson, Centre for Environmental Systems Research, School of Environment and Life Sciences, University of Salford, Salford, M5 4WT. Location: Delamere Woods, Cheshire, UK.A\r\n\r\nOptical remotely sensed data have been used to provide two-dimensional information on vegetation composition by mapping vegetation biomass or productivity to identify phenological change patterns. However, lidar data can additionally provide accurate three-dimensional information on vegetation characteristics including canopy cover, leaf area index, vertical distribution of foliage, and structural characteristics like vegetation height. A better understanding of the interaction of lasers with vegetation canopies was required to fully exploit the information derived from airborne laser scanners. The proposed project integrated airborne and terrestrial laser scanner data to investigate these interactions in order to estimate seasonal variations in vegetation characteristics at a forest test site in northern England.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7167/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145261/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145262/?format=api" ] }, { "ob_id": 10799, "uuid": "7872c666bd89614c9ec7c51c83731996", "title": "ARSF - Flight 95/13: Spain, Guadalfeo River Basin area", "abstract": "ARSF Project 95/13. Extreme rainfall events in semi-arid catchments: The geomorphological and ecological consequences. PI: J.Wainwright, King's College London. Site: Guadalfeo River Basin, Andalucia, Spain", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7170/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38912/?format=api" ] }, { "ob_id": 10803, "uuid": "d61d599c54ad3ea5dd6e2ceb2c045c25", "title": "ARSF - Flight 99/10: Petersfield and Thorney Island areas", "abstract": "ARSF Project 99/10. Site: Petersfield & Thorney Island. PI: EJ Milton, University of Southampton. An improved method of soil type mapping using airborne remote sensing.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7173/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38921/?format=api" ] }, { "ob_id": 10807, "uuid": "83835e966ad17c87e0af75fe8dacbdb3", "title": "ARSF - Flight GB07/06: Dorchester and New Forest areas", "abstract": "ARSF project GB07/06: Level 1 Validation of the Envisat MERIS Terrestrial Chlorophyll Index (MTCI). Led by: Dr. Doreen Sandra Boyd, School of Geography, University of Nottingham, University Park, Nottingham, NG7 2RD. Location: Dorchester, UK..\r\n\r\nSatellite remote sensing provides the opportunity to measure and monitor key photosynthetic pigments such as chlorophyll content of vegetation canopies, which are a key and dynamic component of global ecosystems. The widely accepted red-edge algorithm, used to estimate chlorophyll content from remotely sensed data, is not suitable for use with satellite imagery. To overcome this problem, the new Envisat MERIS Terrestrial Chlorophyll index (MCTI) has been developed. It is the only satellite chlorophyll index available for use and is available to users as a Level 2 product from the European Space Agency. However, there is a need to validate the MCTI. Data provided as part of a NERC ARSF campaign is a key part of the validation procedure; this research proposed that the MCTI be validated via high resolution imagery (CASI) and LiDAR point cloud data. The validation sites in Dorchester and the New Forest with its vegetation types provided a range of chlorophyll contents to be studied. Validation results will be useful to the producers (ESA) and users of the MCTI products and to refine further validation efforts.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7176/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145263/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145264/?format=api" ] }, { "ob_id": 10811, "uuid": "d0d41776042b3d81651af1dafd2f883f", "title": "ARSF - Flight GB08/19: London area", "abstract": "ARSF project GB08/19: Investigating the Urban Energy Balance of London. Led by: Prof. Martin Wooster, Environmental Monitoring & Modelling Research Group, Department of Geography, King's College London, Strand, London, WC2R 2LS, UK. Location: London, UK.\r\n\r\nUrbanization alters the urban energy balance (UEB), urban heat island (UHI), growth of the boundary layer, and other biophysical processes. Generally in situ (tower-based) measures of urban energy exchanges are spatially limited relative to the heterogeneity in the urban matrix. ARSF remote sensing (RS) capability allowed parameters of urban land cover class (vegetation, soil, concrete etc), surface topography (building presence, height) and surface temperature to be determined remotely, which when combined with local meteorological data can be used to model the UEB, for example the Local-Scale Urban Meteorological Parameterization Scheme. We explored the use of ARSF-RS data to provide inputs to LUMPS and provided spatially explicit data on the UEB, and related variables (e.g. UHI intensity) that have direct impact on human comfort and health. If applicable to London, such models provided understanding of the urban environment and, potentially, aid in planning new developments. Ultimately such models were run without frequent airborne overflight data since the high resolution land cover classification (from the airborne imagery) did not change significantly over short periods of time, and allowed use of the temporal data of relatively high spatial resolution thermally-equipped satellite-based sensors (e.g. ASTER).", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7179/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38939/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145265/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145266/?format=api" ] }, { "ob_id": 10815, "uuid": "a1c872bff79a445eb5a1686a775c5571", "title": "ARSF - Flight 86/49: River Taff", "abstract": "ARSF project. Client: Edwards, UWIST. Site: River Taff", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7182/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38948/?format=api" ] }, { "ob_id": 10819, "uuid": "7d3d23409cb8e8b9e331f09b5e3929c6", "title": "ARSF - Flight GB07/05: Loch Leven, Windermere and Esthwaite areas", "abstract": "ARSF project GB07/05: Strategies to manage toxic cyanobacterial blooms in lakes: remote sensing, modelling and cost benefit analysis. Led by: Dr. Andrew Tyler, SBES, University of Stirling, Stirling, Scotland, FK9 4LA. Location: Loch Leven, Scotland, UK.\r\n\r\nCyanobacteria are natural inhabitants of freshwaters, fulfilling key roles in the cycling of matter and the biodiversity of aquatic communities. They present both short- and long-term hazards to the health of humans and other animals especially when growing as mass populations primarily because they produce numerous potent toxins. While progress has been made on aspects of toxic cyanobacterial risk management, substantial gaps remain. Cyanotoxin detection and analysis methods generally need a high level of technical skill, specialised equipment, are costly and do not provide synoptic indications of toxin distribution. Similarly, identification of cyanobacteria is costly, prone to observer error and often inaccurate. Early warning systems of potentially toxic cyanobacterial blooms are needed for a proactive, strategy development for health protection. Hence we proposed to develop and evaluate a synoptic approach to providing early warning of toxic cyanobacterial development for the protection of animal and human health.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7185/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38957/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145267/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145268/?format=api" ] }, { "ob_id": 10823, "uuid": "b90a604503c2335acb92984a81f83c9a", "title": "ARSF - Flight IPY07/03: Greenland, Sandflug area", "abstract": "ARSF project IPY07/03: Contemporary spatial and temporal patterns of sediment supply, availability and Transport in proglacial aeolian systems. Led by Dr. Richard Hodgkins, Loughborough University (Leicester). Site: Sandflug, Greenland.\r\n\r\nAcross the continents there is a clear association between the distribution of wind-blown sediments and the former extent of ice sheets and glaciers. Glacial erosion processes produce significant quantities of fine sediments that are washed out from beneath glaciers by meltwater. If these sediments are deposited on the glacier's floodplain and dry out, then the wind may entrain and transport them across the landscape resulting in the formation of sand dunes and loess, and also adding very fine particles (dust) to the atmosphere. The overall objective of this research was to improve our understanding of the relationship between glacially-driven fluvial and aeolian processes in proglacial areas, particular in terms of sediment budget. The methodology was based on monitoring fluvial sediment fluxes at proximal and distal ends of a well-constrained proglacial valley in Greenland, and monitoring aeolian fluxes at multiple cross-sections within the valley. The outcome was a comprehensive sediment budget, including an assessment of the contribution of glacifluvial material to the aeolian system. Airborne remotely-sensed data supported the research through generating a Digital Elevation Model for (1) terrain analysis to quantify stable and vulnerable land units; (2) nested-scale surface roughness measurements.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7188/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145270/?format=api" ] }, { "ob_id": 10827, "uuid": "37f73564017425540e22a0047d6cad77", "title": "ARSF - Flight ET07/02: Ethopia, Nile Gorge, Difarsa area", "abstract": "ARSF project ET07/02: Correlating terrain systems and representative values - putting geotechnical numbers into geomorphological images. Led by: W. Murphy, \r\nSchool of Earth and Environment, University of Leeds. Leeds LS2 9JT, UK. Location: Nile Gorge, Ethiopia.\r\n\r\nIn recent years engineering geomorphologists have attempted to use geomorphological descriptions and terrain systems to classify, and to some extent quantify the strength available in slopes to resist sliding (e.g. Phipps, 2002), from which the representative value approach was developed by Scott Wilson. The aim of this project was to develop an effective methodology for the use high resolution multispectral imagery to evaluate the slope stability conditions in a quantitative manner using the geomorphological approach developed by Scott Wilson. The objectives of this projects were: 1. Identify through remote sensing the detailed geology of a section of the Nile Gorge (Daedalus ATM), the topography (LiDAR) and the slope stability conditions (aerial photography) 2. To construct a model of slope strength based on textural and spectral information to predict the performance of the ground; 3. To test the predicted strengths against the distribution of known areas of instability; 4. To critical evaluate the success of remote sensing / terrain evaluation methods in a section of the Nile Gorge.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7190/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7191/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38975/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145271/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145272/?format=api" ] }, { "ob_id": 10831, "uuid": "8dd41771c09829439c121bc7b09e6872", "title": "ARSF - Flight 97/01: South Nottingham area", "abstract": "ARSF project 97/01: Combining remote sensing and crop yield data to map heavy metal contamination of arable land. PI: M.D.Steven. Site: South Nottingham.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7194/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38984/?format=api" ] }, { "ob_id": 10835, "uuid": "ef04a2668f74ed7031526b686231635f", "title": "ARSF - Flight 90/45: Winchester Wheat Fields area", "abstract": "ARSF project 90/45 Client: White (NERC). Site: Winchester Wheat Fields.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7197/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38993/?format=api" ] }, { "ob_id": 10839, "uuid": "f128bdc29a5a23e0e4164e6ede75b0f8", "title": "ARSF - Flight GB07/07: Inverclyde area", "abstract": "ARSF project GB07/07: Hyperspectral and Phenological Characterisation of Upland Heather Dominated Ecological Communities. Led by: Dr. Tim Malthus, School of Geosciences, University of Edinburgh, Grant Inst., King's Buildings Edinburgh, EH3 9JW. Location: Inverclyde, Scotland, UK.\r\n\r\nHeather dominated uplands are a hydrological buffer and are intimately linked to the global carbon cycle. Current management practices are considered to be causing the decline of these areas and climate change may be contributing. The extent and remoteness of upland moors makes manual survey problematic for monitoring ecological and phenological change. While remote sensing offers a complimentary approach, little is known of the detailed reflectance properties of heather or the influence of variations in key biophysical and biochemical parameters on the spectral reflectance of heather canopies. Laboratory and field measurements of hyperspectral reflectance and the biophysical and biochemical variables influencing reflectance have been acquired throughout the 2005 and 2006 growing seasons from an upland site on the west coast of Scotland. Airborne hyperspectral RS and aerial photographic surveys were proposed with concurrent canopy reflectance studies and atmospheric and biophysical field measurement being taken. Reflectance modelling methods and Object-Oriented image analysis were used to increase understanding and detailed classification of these heather dominated ecological communities.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7199/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7200/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/39002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145273/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145274/?format=api" ] }, { "ob_id": 10843, "uuid": "1a6b5cbafb4bfa657fbf57d1314ca8d6", "title": "ARSF - Flight 03/08: Otterburn and Cheviot Hills area", "abstract": "ARSF project 03/08 led by M. Cutler. Site: Otterburn, Cheviot Hills.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7202/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7203/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/39011/?format=api" ] }, { "ob_id": 10895, "uuid": "524f1a46e6df4ed1c1d89459167e7cd0", "title": "Terra Satellite Mission, part of the Earth Observing System Morning Constellation (EOS-AM)", "abstract": "Terra is under the NASA-led international Earth Observation System (EOS), a coordinated series of polar-orbiting and low inclination satellites for long-term global observations of the land surface, biosphere, solid Earth, atmosphere, and oceans, to enhance our understanding on the Earth System. The objective of the mission is to collect data on atmospheric, oceanic, cryospheric (snow and ice) and land surface conditions as well as the energy budget, together with other satellites in the Morning Constellation (the M-Train). The satellite was launched on 18th December 1999, and the data collection for data products began in February 2000.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7256/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/10892/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/39195/?format=api" ] }, { "ob_id": 10904, "uuid": "ccc71008f3c0db6f9d2c70bbc4346f31", "title": "Aqua Satellite Mission, part of the Earth Observing System Afternoon Constellation (EOS-PM)", "abstract": "Aqua is under the NASA-led international Earth Observation System (EOS), a coordinated series of polar-orbiting and low inclination satellites for long-term global observations of the land surface, biosphere, solid Earth, atmosphere, and oceans, to enhance our understanding on the Earth System. The objective of the mission is to collect data on atmospheric, oceanic, cryospheric (snow and ice) and land surface conditions as well as the energy budget, together with other satellites in the Morning Constellation (the M-Train). The satellite was launched on 18th December 1999, and the data collection for data products began in February 2000.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7264/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7265/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/10892/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/39208/?format=api" ] }, { "ob_id": 10971, "uuid": "739b287e4a047758ffc675c33d7f64c4", "title": "Multi-angle Imaging SpectroRadiometer (MISR) Mission", "abstract": null, "keywords": "", "status": "", "publicationState": "working", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7315/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/10968/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/39585/?format=api" ] }, { "ob_id": 11003, "uuid": "8ea9b38c5141a61019098c19615268fd", "title": "Temperature, Humidity and Winds near the Tropopause (THAW)", "abstract": "Tropopause flights. Led by Prof. Geraint Vaghan (NCAS University of Manchester, mailto:geraint.vaughan@manchester.ac.uk).\r\n\r\nTHAW was a proposal for flights in the tropopause region, its scientific objectives were to: \r\n• Measure fine-scale vertical temperature structure in the vicinity of the tropopause, to test a model for VHF radar reflection being developed at Manchester. \r\n• Compare wind and turbulence measurements with the MST radar, to better enable quantitative derivation of turbulence parameters from the radar echo spectra. \r\n• Characterise the performance of the Buck research CR-2 hygrometer in the upper troposphere, with special emphasis on measuring supersaturation in the vicinity of the cirrus clouds.", "keywords": "THAW, FAAM, Wind, Temperature, Humidity", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7342/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/11000/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/39721/?format=api" ] }, { "ob_id": 11008, "uuid": "05fb7c9964b4172991a72082c46a3376", "title": "Sea Surface Temperature Climate Change Initiative Project", "abstract": "The Sea Surface Temperature Climate Change Initiative (SST_cci) project is part of the European Space Agency's Climate Change Initiative programme, It aims to accurately mapping the surface temperature of the global oceans using observations from many satellites, and to independently quantify SST to a quality suitable for climate research.\r\n\r\nThe team brings together European expertise in creating climate quality records of ocean temperatures from satellite data, with expertise in climate applications and computer engineering. Through the ESA funded Climate Change Initiative, the team have created a climate record of global sea surface temperature (SST) for the period 1981 to 2016. Based on satellite data, this record is independent of thermometer based measurements from ships and buoys. The new climate SST record complements and challenges existing knowledge of how ocean temperatures have evolved. \r\n\r\nThe project started in August 2010. It is part of a wider initiative by the European Space Agency (ESA) addressing several essential climate variables in addition to SST.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7348/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/11005/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/11009/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/39738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130659/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130660/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203006/?format=api" ] }, { "ob_id": 11009, "uuid": "615aa50d66fe4b2771457e83d8b47217", "title": "ESA Climate Change Initiative", "abstract": "The European Space Agency (ESA)'s Climate Change Initiative (CCI) programme kicked off in 2010. \r\n\r\nThe programme goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modellers and researchers. The ECVs will be derived from multiple satellite data sets (not just ESA but all sources via international collaboration) and include specific information on the errors and uncertainties of the data set. Comprehensive information will also be provided on calibration and validation, long term algorithm maintenance, data curation and reprocessing. The Climate Change Initiative brings together European expertise covering the full range of scientific, technical and development specialisations available within the European Earth Observation community, and will establish lasting and transparent access for global climate scientific and operational communities to its results.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7350/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/24700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/13301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/13341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/13331/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/30004/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/39805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/30309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/14431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/29966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/13339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/32240/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/32934/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/33361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/13365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/14317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/41107/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/41537/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/11008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/13255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/13295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/28235/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/14368/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/39739/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205506/?format=api" ] }, { "ob_id": 11054, "uuid": "af6d07ad22ad2502756f079a61d7073b", "title": "A Thermal Climatology of the West Midlands", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7388/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/39855/?format=api" ] }, { "ob_id": 11081, "uuid": "251020ef3307bb6f9437efb750f992ea", "title": "Cloud Archive User Service data (CLAUS)", "abstract": "The CLAUS project was co-ordinated by ESSC and involved all of the major climate modelling groups in Europe. The project was supported by the European Union under the IVth Framework Programme (Environment and Climate) and ran from April 1997 to December 1999.\r\n\r\nThe aim of the CLAUS project was to produce a long time-series of three-hourly global window channel thermal infra-red (10.5-12.5 micro metres) images of the Earth and to test the feasibility of using this in evaluating atmospheric General Circulation Models. \r\n\r\n", "keywords": "CLAUS, cloud", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7409/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7410/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6179/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/39919/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/79060/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/54654/?format=api" ] }, { "ob_id": 11106, "uuid": "61d468d46bd293d3f0207800bd821305", "title": "Meteorological Services of Canada (MSC)", "abstract": "The Meteorological Service of Canada (MSC) is Canada's source for meteorological information. The Service monitors water quantities, provides information and conducts research on climate, atmospheric science, air quality, ice and other environmental issues, making it an important source of expertise in these areas. The MSC was formely known as the AESC - the Atmospheric Environment Service of Canada.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7421/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/39960/?format=api" ] }, { "ob_id": 11161, "uuid": "1b489cdd8b3ce6b4cd79fd3080a621f4", "title": "Meteosat Second Generation (MSG)", "abstract": "Meteosat Second Generation is operated by EUMETSAT and provides almost continuous images to meteorologists and researchers in Europe and around the world. It incorporates significant enhancements in frequency and resolution to the previous generation of Meteosat. MSG measures in 12 spectral channels (compared to only 3 on the previous Meteosat) and records data in a 15 minute cycle (30 minutes on the previous Meteosat). The resolution of the high-resolution visible light channel measures 1 km at the sub-satellite point (compared to 2.5 km on the previous Meteosat).\r\n\r\nThe first Meteosat Second Generation satellite, MSG-1, came into operational service on 29th January 2004 and was renamed Meteosat-8. MSG-1 has a nominal lifetime of seven years. MSG-2 was launched on 21st December 2005 and future MSG units are planned.\r\n\r\nThe MSG payload also contains the Geostationary Earth Radiation Budget (GERB) instrument which provides important data for climate research. Data from the GERB instrument is now available at the BADC.\r\n\r\nA humanitarian Search and Rescue transponder that relays distress signals from ships, aircraft and others in need of rescue is also mounted on the MSG platform.", "keywords": "MSG, Visible, Infra-Red, meteorology", "status": "ongoing", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7446/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7447/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/2645/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/40070/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/74206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/74207/?format=api" ] }, { "ob_id": 11172, "uuid": "c4a5f247b06510a4ce7bed80dac14e71", "title": "Universities Facility for Atmospheric Measurement (UFAM)", "abstract": "The Universities' Facility for Atmospheric Measurement (UFAM) is a National Centre for Atmospheric Science (NCAS) facility consisting of a distributed set of ground-based and specialised airborne (FAAM) instruments in the UK that are designed to make measurements of small-scale and meso-scale physical and chemical features in the atmosphere.\r\nA major goal of UFAM is to provide an infrastructure that promotes collaboration amongst the atmospheric science research community, particularly across the NCAS Composition and NCAS Weather science areas. The African Monsoon Multidisciplinary Analyses (AMMA) project, the aerosol and chemical transport in tropical convection (ACTIVE) project, the Convective Storm Initiation Project (CSIP), and the Tropospheric ORganic CHemistry Experiment (TORCH) are examples of collaborative field campaigns using UFAM instruments.", "keywords": "UFAM, NERC, NCAS", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7451/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7452/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10464/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/5492/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/877/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/49478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/49479/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/49480/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/40089/?format=api" ] }, { "ob_id": 11366, "uuid": "f66c65cbf2e11228216166256f0f6446", "title": "Meteosat Images of Europe", "abstract": "Visible and infra-red images of the North Atlantic Ocean, Europe and North Africa from the Meteosat geostationary satellite. Images are archived from 11th November 1999. These images are public.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7557/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/40484/?format=api" ] }, { "ob_id": 11579, "uuid": "b5c72b72b31b405680bdacf853b03b21", "title": "ARSF - Flight 86/04: Feltwell area", "abstract": "ARSF project 86/04 led by Agrisar (PI). Site: Feltwell.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7666/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7667/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/40922/?format=api" ] }, { "ob_id": 11610, "uuid": "bdd646b9a7d440a5a61284c92029178d", "title": "Mars Analysis Correction Data Assimilation (MACDA)", "abstract": "The aim of the MACDA project was to produce an assimilated, consistent dataset from the observations made by the MGS/TES instrument. The project was undertaken at Oxford University, UK. On Earth, data assimilation is used in routine operational weather forecasting, primarily to produce accurate initial conditions for the forecasts. A similar technique has been applied to another planet in the Solar System: Mars. This was the goal of the Mars Analysis Correction Data Assimilation (MACDA) project. Observations of atmospheric temperature and dust opacity from the Thermal Emission Spectrometer on board NASA's Mars Global Surveyor spacecraft have been assimilated for three complete Martian years into the UK Mars Global Circulation Model. This four-dimensional 'reanalysis' allows us to study the evolution of the atmospheric state on a model grid while remaining consistent with the observations, the model, and our physical understanding. It also allows us to access variables that cannot be directly observed, such as winds and surface pressure, as the model balances the unobserved variables against the observed variables as the assimilation progresses.", "keywords": "Mars, Martian", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7681/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/11018/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/11611/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/44985/?format=api" ] }, { "ob_id": 11611, "uuid": "14e5db2c47db4511954a75175de821ed", "title": "Mars Global Surveyor (MGS)", "abstract": "Mars Global Surveyor (MGS) was the first successful U.S. mission launched to Mars since the Viking mission in 1976. After a 20-year absence at the planet, Mars Global Surveyor ushered in a new era of Mars exploration with its five science investigations. Mars Global Surveyor arrived at Mars on September 11, 1997 (September 12, UTC), and has contributed a multitude of findings, including signs of past, persistent water such as an ancient delta and currently active water features in the gullies of canyon walls. After nearly a decade of discovery, MGS went silent 2nd November, 2006. \r\nMars Global Surveyor was a well-designed space craft that successfully operated since launch on November 7, 1996 until a battery failure in 2nd November, 2006. To enable the spacecraft to last nearly a decade, the Mars Global Surveyor team worked creatively to conserve fuel and invigorate the ageing spacecraft.\r\n\r\nThe spacecraft, fabricated at the Lockheed Martin Space Systems plant in Denver, Colorado, looks like a rectangular-shaped box with wing-like projections extending from opposite sides. The body (or bus) houses the computers, radio system, solid-state data recorders, fuel tanks, and other equipment. Attached to the outside of the bus are several rocket thrusters, which were fired to adjust the spacecraft's path during cruise to Mars and to modify the spacecraft orbit around the planet.\r\n\r\nFully loaded with propellant at the time of launch the vehicle weighed 1,060-kilograms (2,342 pounds). The spacecraft is about 3 meters (10 feet) tall with its braking engine and instruments. The bus or main body of the spacecraft measures 1.2 by 1.2 meters (4 by 4 feet) and is 12 meters (40 feet) across from tip to tip when the solar panels are fully unfolded. The high-gain antenna is deployed on a 2-meter-long (6-1/2-foot) boom.\r\n\r\nTo minimize costs, spare units left over from the Mars Observer mission were used in portions of the spacecraft's electronics and for some of the science instruments. The spacecraft design also incorporated new hardware - the radio transmitters, solid-state recorders, propulsion system, and composite material bus structure-and retains many backup and redundant features of the original Mars Observer design in case of failure of critical elements such as the primary processors, recorders or transmitters.\r\n\r\nThe solar arrays, which always point toward the Sun (when the spacecraft isn't behind the planet), provided 980 watts of electricity for operating the electronic equipment and for charging nickel hydrogen batteries. The batteries provided electricity when the spacecraft is mapping the dark side of Mars. To maintain appropriate operating temperatures, most of the outer exposed parts of the spacecraft, including the science instruments, are wrapped in thermal blankets.\r\n\r\nSpacecraft communications with Earth utilized X-band frequencies for radio tracking, return of science and engineering telemetry, commanding, and the radio science experiments. Primary communications to and from the spacecraft occur through the 1.5-meter-diameter (4.9-foot) high-gain antenna. Mars Global Surveyor can receive instructions from Earth at a maximum rate of 12.5 commands per second.\r\n\r\nThe MGS carried a number of instruments on board:\r\n1) MOC (Mars Orbiter Camera) - This camera produced a daily wide-angle image of Mars similar to weather photographs of the Earth, and also took narrow-angle images. These two pictures are examples of what Mars looks like in late northern summer. Mars Global Surveyor (MGS) orbits around the red planet 12 times a day. Each orbit goes from pole to pole. Over the course of a single day, the wide angle cameras of the Mars Orbiter Camera (MOC) system take 24 pictures--12 red and 12 blue--that are assembled to create a daily global map.\r\n2) MOLA (Mars Orbiter Laser Altimeter) - This experiment measured the height of Martian surface features like mountains and depths of valleys.\r\n3) TES (Thermal Emission Spectrometer) - This instrument studied the atmosphere and mapped the mineral composition of the surface by analysing infrared radiation, which scanned for heat emitted from the surface of Mars.\r\n4) MAGNETOMETER (Electron Reflectometer) - The magnetometer studied the magnetic properties of Mars to gain insight into the interior of the planet and better understand the early history and evolution of Mars\r\n5) RADIO SCIENCE (Gravity Field Experiment)", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7683/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11610/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/44986/?format=api" ] }, { "ob_id": 11676, "uuid": "c56a9156c7d04334ac7f852aa094e432", "title": "Met Office forecasting system", "abstract": "The UK Met Office are responsible for producing forecasts for the UK community and undertake this through a variety of activities/", "keywords": "", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [] }, { "ob_id": 11686, "uuid": "cc0a4a51d7234d3c88efbc03919beab2", "title": "National Centre for Atmospheric Science (NCAS)", "abstract": "The National Centre for Atmospheric Science (NCAS) is a world leader in atmospheric science, undertaking research programmes on:\r\n* The science of climate change, including modelling and predictions\r\n* Atmospheric composition, including air quality\r\n* Weather, including hazardous weather\r\n* Technologies for observing and modelling the atmosphere \r\n\r\nAdditionally, NCAS provides scientific 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 and Cape Verde in the tropical Eastern North Atlantic Ocean, a ground-based instrumentation pool, access to computer models and facilities for storing and accessing data. In a nutshell, NCAS provides the UK academic community and the Natural Environment Research Council with national capability in atmospheric science.\r\n\r\nThe Natural Environment Research Council (NERC) is the parent organisation on NCAS", "keywords": "", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/877/?format=api", "subProject": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/3933/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/12946/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45176/?format=api" ] }, { "ob_id": 11687, "uuid": "b46fbc668f6547fda79f2899046c29a9", "title": "Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics", "abstract": "The Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET+) represents the Dynamic Earth and Geohazards research group within the National Centre for Earth Observation (NCEO)'s Theme 6 during NCEO phase 1. NCEO phase 1 was is funded by the Natural Environment Research Council (NERC). NCEO phase 2 no longer has the theme 6 within its remit, though COMT+ continues within NERC.\r\n\r\nCOMET+ involves scientists from the University of Oxford, University of Cambridge, University of Leeds, University of Bristol, University oSf Glasgow, University of Reading, and University College London. We aim to combine satellite observations of Earth's surface movements, topography and gas release with terrestrial observations and modelling to advance understanding of the earthquake cycle, continental deformation and volcanic eruptions, and to quantify seismic and volcanic hazards.", "keywords": "", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/877/?format=api", "subProject": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11688/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45198/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45199/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190846/?format=api" ] }, { "ob_id": 11688, "uuid": "740f96308d734fc8b548ab1e53478b92", "title": "Continuous GPS in Greece", "abstract": "Continuous GPS measurements since 2002 have been made at a number of stations across the Aegean to monitor tectonic movement across the Eastern Mediterranean by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). ", "keywords": "COMET, GPS", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/11657/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/11687/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45202/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45203/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45204/?format=api" ] }, { "ob_id": 11699, "uuid": "f57067adf93e4bc693024d5b0421c509", "title": "Natural Environment Research Council (NERC) Arctic Research Programme (ARP)", "abstract": "The NERC Arctic Research Programme (or ARP) was launched in 2010 to address specific topics of scientific uncertainty in the Arctic region and is co-ordinated and managed at NERC’s British Antarctic Survey. The £15m research effort is working over a five-year period to address key questions about what is behind the environmental changes occurring in the Arctic and how they can impact on levels of greenhouse gas and influence extreme weather events in the future.", "keywords": "ARP NERC APPOSITE MAMM ACCACIA", "status": "ongoing", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8367/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/11700/?format=api" ], "parentProject": null, "subProject": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11985/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/12286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/11971/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50024/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/54653/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50025/?format=api" ] }, { "ob_id": 11714, "uuid": "27d315060f7c29609a5a01d0a72a7a3a", "title": "UKCIP02: UK Climate Impact Programme 2002", "abstract": "The UK Climate Impacts Programme 2002 (UKCIP02) are a set of climate projections derived from a series of climate modelling experiments commissioned and funded by Department for Environment, Food and\r\nRural Affairs (DEFRA), performed by the Hadley Centre and analysed by the Tyndall Centre. \r\n\r\nThe UKCIP02 data are comprised of four scenarios of future climate change for the UK based on the understanding of the science of climate change in 2002. The climate change scenarios provide a common starting point for assessing climate change vulnerability, impacts and adaptation in the UK. \r\n\r\nThe UKCIP02 scenarios represent an advance in the description of future UK climates compared to the scenarios published for UKCIP in 1998. This is because they are based on new global emissions scenarios published in 2000 by the Intergovernmental Panel on Climate Change (IPCC) in their Special Report on Emissions Scenarios, and because they are based on a series of climate modelling experiments completed by the Hadley Centre using their most recently developed models. The scenarios describe four alternative future climates for the UK labelled, respectively, Low Emissions, Medium-Low Emissions, Medium-High Emissions and High Emissions. The scenarios are designed to be used in conjunction with other UKCIP reports and products. \r\n\r\nNo probabilities can be attached to these four climate futures – in line with the IPCC, UKCIP02 do not suggest that one is more likely than another. While they represent a wide range of possible future climates, the UKCIP02 scenarios do not capture the entire range of future possibilities.", "keywords": "UKCIP, UK Climate, Impacts, Projections", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/11710/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/19798/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/78335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/78338/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/79124/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/78336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148604/?format=api" ] }, { "ob_id": 11721, "uuid": "41a90aee4ec7dfa1990a4922b929ae8b", "title": "Met Office Cyclone database Project", "abstract": "Accurate prediction of severe weather events is a key Met Office goal. As cyclonic systems are responsible for the vast majority of these events, accurate cyclone prediction is also high priority. Although huge strides have been made in numerical weather prediction (NWP) in recent years, cyclonic systems continue to pose problems for numerical models.\r\nThree ‘exceptional’ depressions in the Christmas periods of 1997 and 1999, and another in early December 1999 were all poorly forecast by most of the world’s operational models, indicating that there is plenty of scope for improvement. The rationale for constructing a cyclone database (previously called the ‘Frontal Wave Database’) is described in\r\ndetail in Hewson (1998b). The main motivation was the identification and representation of systematic model biases in new formats which, from most practical perspectives, represent a notable improvement on more traditional r.m.s. error based statistics. Several other possible uses have arisen in the intervening period as covered in the project report linked from this record.\r\nEvidently improved knowledge of cyclone forecast characteristics will be valuable not only to the NWP community, but also to forecasting, in part because operational practice now involves using ‘Field Modification’ software to prepare forecast charts (Carroll, 1997), which can be used to correct for known biases.\r\nThe purpose of this report is to describe changes to the project since Hewson (1998b) (section 1.1), to outline the processing stages used to update the database (section 1.2), to describe database structure and list the current set of stored diagnostics (section 2), to pinpoint major problems encountered during the project (section 3), and indeed overall\r\nto provide sufficient information for interested parties to comprehend what the database includes and how it can be utilised. Figures from a limited initial analysis of the data are presented in section 4 of the project report.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/552/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/4/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45453/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45454/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45456/?format=api" ] }, { "ob_id": 11970, "uuid": "388bce4c47f94dcfbac2898a86118f8f", "title": "Chemistry-Climate Model Validation Activity (CCMVal)", "abstract": "SPARC has established the Chemistry-Climate Model Validation Activity (CCMVal) for coupled chemistry-climate models (CCMs). The goal of CCMVal was to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results.\r\n\r\nThis project was coordinated by SPARC (Stratosphere-troposphere Processes And their Role in Climate) as a core project of the World Climate Research Programme.", "keywords": "CCMVal, climate, model, CCM's, GCM's", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9240/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6804/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/19200/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/79126/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72261/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72263/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72262/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/71725/?format=api" ] }, { "ob_id": 11971, "uuid": "a2f5db43a5f37651aae1a3808a7be5e8", "title": "Arctic Predictability and Prediction On Seasonal-to-Interannual Time-scales (APPOSITE) as part of the NERC Arctic Research Programme (ARP)", "abstract": "APPOSITE is a 3-year NERC Arctic research project that aims to address fundamental questions about the extent to which the climate and state of the Arctic system is predictable on seasonal to inter-annual timescales, and about the physical processes that govern this predictability. Model data output from this project are archived at the BADC.\r\n\r\nAPPOSITE is funded until March 2016.\r\n\r\nGrant ref: NE/I029137/1", "keywords": "APPOSITE ARP NERC arctic", "status": "ongoing", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8050/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/11700/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/11699/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46943/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/54754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46862/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46942/?format=api" ] }, { "ob_id": 11972, "uuid": "81ea58f6728e8240f228e04f20034299", "title": "Convective Storm Initiation Project (CSIP) Field Campaign", "abstract": "The Convective Storm Initiation Project (CSIP) ran a 3 month long field campaign during June, July and August 2005 in southern England during which period a dense network of instruments were deployed over a large area centred on the Chilbolton Facility for Atmospheric and Radar Research (CFARR) in Hampshire, England. During this field campaign a number of \"Intense Observational Periods\" were undertaken on days of notable convective activity in order to utilise the available suite of deployed ground and airborne atmospheric instrumentation to study the meteorogical conditions during the development and subsequent life of active convective cells. This field campaign followed on from an earlier pilot field campaign in June 2004.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8053/?format=api" ], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/4614/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45890/?format=api" ] }, { "ob_id": 11973, "uuid": "8b89bca9932b76ec221c2e2525df44cd", "title": "FREE - Uncertainty Assessments of Flood Inundation Impacts: Using spatial climate change scenarios to drive ensembles of distributed models for extremes", "abstract": "The Uncertainty Assessments of Flood Inundation Impacts: Using spatial climate change scenarios to drive ensembles of distributed models for extremes Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002242/1 - Duration December 2006 - Septembre 2010) led by Prof Glenn McGregor, King's College London. The data and metadata from this project will be stored at the NERC Centre for Ecology and Hydrology (CEH).", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10235/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10336/?format=api" ], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/997/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45893/?format=api" ] }, { "ob_id": 11975, "uuid": "d2d8f982d66cce55bb59fc769ca39264", "title": "WCRP CMIP5: Coupled Model Intercomparison Project Phase 5", "abstract": "The WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5), was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the World Climate Research Program (WCRP) and provided input for the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5).\r\n\r\nThe CMIP5 archive is managed via the Earth System Grid Federation, a globally distributed archive, with various \"gateways\" with advanced faceted search capabilities provided by a number of participating organisations. Full details are available from the PCMDI CMIP5 pages (see linked documentation on this record).\r\n\r\nCEDA provides access to the UK Met Office contribution to the CMIP5 archive to UK researchers within the full distributed archive infrastructure and additionally holds a copy of the CMIP5 archive within its infrastructure to aid local use.", "keywords": "climate change, CMIP5, WCRP, CMIP", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9251/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9252/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8060/?format=api" ], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/19200/?format=api", "subProject": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/23417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/23277/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/22821/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/22542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/21958/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/22083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/23590/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/23834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/23817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/23716/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/23646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/23635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/23191/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/21626/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/20917/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/21058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/21151/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/20718/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/20400/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/23887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/23940/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/23467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/23742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/22208/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/21204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/21448/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/21486/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/76359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/76360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/79277/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/79278/?format=api" ] }, { "ob_id": 11976, "uuid": "5e3e69a0e349b06a0c1980feae269290", "title": "FREE - A hybrid model for predicting the probablity of very extreme rainfall", "abstract": "A hybrid model for predicting the probablity of very extreme rainfall project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 2 - NE/F011822/1 - Duration January 2008 - January 2010) led by Prof Ralf Toumi, Imperial College London.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8061/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8062/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10238/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10342/?format=api" ], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/997/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45896/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52780/?format=api" ] }, { "ob_id": 11977, "uuid": "fd98453a8dd5dcd0ddf0301740fc0ba6", "title": "Storms Risk Mitigation - TEMPEST (Testing and Evaluating Model Predictions of European Storms) project", "abstract": "The TEMPEST (Testing and Evaluating Model Predictions of European Storms NE/I00520X/1) project was part of the Storms Risk Mitigation Natural Environment Research Council (NERC) research programme 2009-2014. The aims of TEMPEST were to improve understanding of how climate change and natural variability will affect the generation and evolution of extra-tropical cyclones. The project provided the first systematic assessment of how intense extratropical cyclones are predicted to change in the Fifth Coupled Model Intercomparison Project (CMIP5) climate models and by performing an integrated set of sensitivity experiments with the Met Office Unified Model, and quantify the key processes that determine the spread of climate model predictions. As well as data of the response of intense extratropical cyclones to climate change in very high-resolution global atmospheric model experiments which are capable of capturing mesoscale structures. It is envisaged that the outcomes from TEMPEST will feed directly into the forthcoming IPCC assessment report (AR5). TEMPEST also has strong synergies with other LWEC (Living With Environmental Change) programmes, most notably the JWCRP (Joint Met Office/NERC Weather and Climate Research Programme) and the CWC (Changing Water Cycle) research programme.\r\nNo data were archived for this project.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8063/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8064/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10626/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116081/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45899/?format=api" ] }, { "ob_id": 11978, "uuid": "2d9f6ae2831417fbed2c64e28ee4202d", "title": "FREE - Changing coastlines: data assimilation for morphodynamic prediction and predictability", "abstract": "The Changing coastlines: data assimilation for morphodynamic prediction and predictability project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002048/1 - Duration January 2007 - October 2010) led by Dr S. Dance, University of Reading. The data and metadata from this project will be stored at the British Oceanographic Data Centre.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8065/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10231/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10332/?format=api" ], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/997/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45902/?format=api" ] }, { "ob_id": 11979, "uuid": "dbd5cd21b4715d9f3dc443e5ec5c25a1", "title": "QUEST Theme 1 - QUEST Atmospheric Aerosols and Chemistry (QUAAC)", "abstract": "QUAAC was led by Prof John Pyle (University of Cambridge), with 11 co-investigators at the Universities of Sheffield, Leeds, York, Lancaster and Manchester, and from CEH.\r\n\r\nCoupling between the chemistry/climate system and land surface processes are important controls on the atmosphere, but chemical schemes have only recently and simplistically been introduced into numerical models. QUAAC studied the role of surface processes on atmospheric oxidizing capacity and aerosol loading, building on an existing Met Office/NERC initiative to develop a new community model, UKCA, to study the interaction between climate and atmospheric composition.\r\n\r\nNew chemistry and aerosol schemes were developed for inclusion in the model. Schemes were also developed to describe (interactively wherever possible) surface emissions of reactive trace gases and deposition processes.", "keywords": "QUEST, QUACC, chemistry, climate, model", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8068/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/4332/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/1650/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/71776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72545/?format=api" ] }, { "ob_id": 11980, "uuid": "2c711ae8fcf7a676301db6909350b71b", "title": "FREE - Modelling groundwater flood risk in the Chalk aquifer from future extreme rainfall events", "abstract": "The Modelling groundwater flood risk in the Chalk aquifer from future extreme rainfall events Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002307/1 - Duration April 2007 - April 2010) led by Prof Howard Wheater, Imperial College London. The data and metadata from this project will be stored at the NERC Centre of Ecology and Hydrology (CEH).", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8069/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8070/?format=api" ], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/997/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45904/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45905/?format=api" ] }, { "ob_id": 11981, "uuid": "1664522917f4f4e6d366e463ff276ef3", "title": "Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection (FRANC) Project", "abstract": "Brief periods of intense rainfall can lead to flash flooding with the potential to cause millions of pounds of damage to property, and to threaten lives. Accurate flood warnings even just a few hours ahead can allow preparations to be made to minimize damage. In order to improve the prediction of these events, more accurate forecasts of heavy rainfall are needed, which can then be used to inform flood prediction and warning systems. The UK Met Office is developing a new numerical weather prediction system with the goal of improving severe weather forecasts. This is a computer model that solves mathematical equations representing atmospheric motions and other physical processes such as cloud formation, with a horizontal grid spacing of 1.5km. This allows a more accurate representation of fine-scale features and explicit representation of storms, but the results are still dependent on the accuracy of the starting conditions or initial data describing the current state of atmospheric variables such as winds, pressure, temperature and humidity. Initial conditions are usually estimated using a sophisticated mathematical technique known as data assimilation that blends observations with model information, taking account of the uncertainties in the data. In this project, we propose fundamental research to reduce initial condition errors. The work will be carried out in a partnership between the Universities of Reading, Surrey and the Met Office. We plan to investigate ways of extracting the maximum information from weather radar observations of precipitation and moisture in the lower parts of the atmosphere. Although rainfall is usually well observed by weather radar, severe precipitation can cause the radar beam to lose energy, and thus the weaker returned signal may be misinterpreted, giving a lower rain-rate than in reality. We will develop algorithms to correct for this and other problems caused by severe rainfall. Recently, we have also developed techniques to infer humidity information about the lower atmosphere, and we plan to optimize the method and investigate the observation error characteristics, to prepare for this data to be assimilated by the Met Office. One of our goals is to use observations to provide information on the small scales without degrading the large scale weather patterns, which are themselves likely to be accurate. However, currently much of the small scale observational information is being lost by ignoring correlations between observation errors. We will develop a generic approach for treating observation correlations for a range of observation types. We will investigate mathematical methods that both capture the maximum amount of information contained in the observations, while still being practical for operational computations, which have to take place within a limited time frame. Another goal is to develop innovative ways of treating moist processes that are largely absent from present-day assimilation systems. We plan to design and test efficient and effective ways of assimilating moisture information that respect the intricate dynamical and physical relationships that operate in the atmosphere. If successful, such new approaches will allow better use of cloud and rain affected observations than at present. Predicting convective rain is made harder by the fact that some events are inherently unpredictable, even with good data assimilation and models, due to their high sensitivity to even small errors in the initial conditions. Further studies will be made to look at the dynamical reasons for the low predictability of such events using diagnostics derived from models and observations.\r\n\r\nFor further details of the FRANC project please also see Dance et al. (2019) article in the online resources linked to from this record: Improvements in Forecasting Intense Rainfall: Results from the FRANC (Forecasting Rainfall Exploiting New Data Assimilation Techniques and Novel Observations of Convection) Project.\r\n\r\nGrant ref: NE/K008900/1", "keywords": "Doppler radial winds, data assimilation, convection permitting numerical weather prediction, convection, ensemble runs, CAPE, perturbation", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8072/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/31970/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/31854/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45906/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45913/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45907/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45909/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45912/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45911/?format=api" ] }, { "ob_id": 11982, "uuid": "f22d38abdb2d096c9af7e2312e190230", "title": "FREE - Identification of changing precipitation extremes and attribution to atmospheric, oceanic and climatic changes", "abstract": "The Identification of changing precipitation extremes and attribution to atmospheric, oceanic and climatic changes Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002412/1 - Duration February 2007 - January 2009) led by Dr Tim Osborn, University of East Anglia (UEA).", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8073/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8074/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10239/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10343/?format=api" ], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/997/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45914/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45915/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45916/?format=api" ] }, { "ob_id": 11983, "uuid": "a4cbc22ce817cbaccbfb93f1aba48ef1", "title": "FREE - FRACAS: a next generation national Flood Risk Assessment under climate ChAnge Scenarios Project", "abstract": "The FRACAS: a next generation national Flood Risk Assessment under climate ChAnge Scenarios Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002420/1 - Duration January 2007 - March 2011) led by Mr Nick Reynard of the NERC Centre for Ecology and Hydrology (CEH). The data and metadata from this project will be stored at NERC Centre for Ecology and Hydrology (CEH).", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8075/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8076/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10339/?format=api" ], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/997/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45917/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45918/?format=api" ] }, { "ob_id": 11984, "uuid": "8060cf5b80538bf19e8d640a291dec20", "title": "FREE - Ensemble Prediction of Innundation Risk and Uncertainty arising from Scour (EPIRUS)", "abstract": "The Ensemble Prediction of Innundation Risk and Uncertainty arising from Scour (EPIRUS) Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002129/1 - Duration January 2007 - January 2011) led by Dr Qingping Zou, University of Plymouth. The data and metadata from this project will be stored at the British Oceanographic Data Centre.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8077/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8078/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10233/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10334/?format=api" ], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/997/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45919/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45920/?format=api" ] }, { "ob_id": 11985, "uuid": "2202f57890564d96cba4bb819c7facdd", "title": "Methane and other greenhouse gases in the Arctic - Measurements, process studies and Modelling (MAMM) as part of the NERC Arctic Research Programme (ARP).", "abstract": "The Methane and other greenhouse gases in the Artic - Measurements, process studies and Modelling (MAMM) project was a consortium as part of the NERC Artic Research Programme. This consortium brought a range of expertise, from measurements of methane and its isotopes, and other greenhouse gases, through flux measurements to numerical analysis and modelling. \r\n\r\nThe project was led by the University of Cambridge, and in association with the University of Manchester, University of East Anglia, Royal Holloway, University of London, Centre for Ecology and Hydrology and UK and International partners (Met Office, NILU, NOAA, etc).\r\n\r\nMAMM was funded by the Natural Environment Research Council (NERC) for three and a half years from October 2011 (NERC Reference: NE/I0291161/1).\r\n\r\nMAMM Data Providers may request access to the MAMM Project Space. All information is available under Docs below.\r\n\r\nThe Arctic is a major source of atmospheric methane and other greenhouse gases, with both natural and anthropogenic emissions. Arctic greenhouse gas sources have the potential to be important globally, changing radiative forcing and atmospheric oxidizing capacity. Moreover, both palaeorecords and present-day studies suggest some sources, such as wetlands and methane hydrates, may show strong positive feedbacks [Nisbet and Chappellaz, 2009], so that the warming feeds the warming. It is urgent that Arctic greenhouse gas sources should be quantified, by strength, geographic location, character (e.g. wetland, gasfield, clathrate), and by temporal variation (summer, winter, day, night), and their vulnerability to change assessed. We addressed these issues by an integrated program of measurement and modelling. Analysis of gas mixing ratios (concentrations), isotopic character, and source fluxes, were made both from the ground and aircraft. Both past and new measurements were modelled using a suite of techniques. Fluxes were implemented into the JULES land surface model. Atmospheric modelling, including trajectory and inverse modelling have improved understanding on the local/regional scale, placing the role of Arctic emissions in large scale global atmospheric change. ", "keywords": "MAMM, Arctic, greenhouse gases, Methane, CH4", "status": "ongoing", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9080/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8081/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8080/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6089/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/11699/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45921/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45923/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50033/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45922/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45924/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101752/?format=api" ] }, { "ob_id": 11986, "uuid": "7197d0e7d2d2298491f735e75b5dc21c", "title": "Aerosol-Cloud Interactions - A Directed Programme to Reduce Uncertainty in Forcing through a Targeted Laboratory and Modelling Programme (ACID-PRUF)", "abstract": "ACID-PRUF was a three year NERC directed programme that investigated the complex interaction of aerosols and clouds. The overall aims of ACID-PRUF were to reduce the uncertainty in the radiative forcing associated with the aerosol indirect effects though a targeted laboratory and modelling programme. \r\nA programme of research is proposed here to \r\ni) directly investigate these processes in the laboratory, \r\nii) evaluate the sensitivity of climate relevant parameters to the studied processes, \r\niii) interpret the laboratory studies with detailed model investigations and \r\niv) to incorporate and test new descriptions of the studied processes in cloud-scale and, where possible, global scale models. \r\n\r\nThis research programme was funded by the Natural Environment Research Council. The Lead Grant Reference number for this project is NE/I020121/1.", "keywords": "ACID-PRUF, NERC, aerosol, cloud", "status": "ongoing", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8083/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/25033/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/877/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46912/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52382/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46914/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52383/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46915/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46916/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46913/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46918/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46919/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46920/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46917/?format=api" ] }, { "ob_id": 11987, "uuid": "d73969a9c2045e5e8c2ce0aa6d314a8b", "title": "FREE - Local flood forecasting capability for fluvial and estuarine floods: Use of GridStix for constraining uncertainty in predictive models", "abstract": "The Local flood forecasting capability for fluvial and estuarine floods: Use of GridStix for constraining uncertainty in predictive models Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002439/1 - Duration October 2007 - October 2009) led by Prof Keith Beven, Lancaster University. The data and metadata from this project will be stored at the NERC Centre for Ecology and Hydrology.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8084/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10340/?format=api" ], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/997/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45927/?format=api" ] }, { "ob_id": 11988, "uuid": "c174d29d15601fc93579631693d72097", "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.", "keywords": "EUFAR, FAAM, FENNEC", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9076/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8087/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/18503/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/6385/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105834/?format=api" ] }, { "ob_id": 11989, "uuid": "209f7723fc8917841f11b7e538599d91", "title": "Co-ordinated Airborne Studies in the Tropics (CAST) project", "abstract": "The NERC Co-ordinated Airborne Studies in the Tropics (CAST) project was a collaborative initiative with NASA's Airborne Tropical Tropopause Experiment (ATTREX) programme to study the Tropical Tropopause Layer (TTL) over the Pacific Ocean and South East Asia. \r\n\r\nCoordinated flights of the FAAM (Facility for Airborne Atmospheric Measurements) BAe-146 aircraft, deployed in Guam in Jan/Feb 2014, and NASA's Global Hawk unmanned aerial vehicle (UAV) made corresponding in situ measurements in the TTL over the West Pacific. These aircraft measurements were interpreted in conjunction with ground-based and balloon-based measurements of very short-lived halogen species and ozone, using a complementary group of regional high resolution models, global composition models and a global cirrus model to address fundamental questions related to atmospheric composition, radiation and transport.", "keywords": " CAST, FAAM, Ground based, Ozondesonde, Chemistry", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8090/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/7212/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/877/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72497/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72700/?format=api" ] }, { "ob_id": 11990, "uuid": "ca074e1d672bc301ef336ae7c8691236", "title": "FREE - A data-driven exploratory study of extreme events based on joint probability analysis", "abstract": "The A data-driven exploratory study of extreme events based on joint probability analysis project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 2 - NE/F001037/1 - Duration October 2007 - October 2010) led by Dr Cecilia Svensson, NERC Centre for Ecology and Hydrology (CEH). Only metadata are expected to be produced.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8091/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10335/?format=api" ], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/997/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45933/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45934/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52777/?format=api" ] }, { "ob_id": 11991, "uuid": "68e8b5b9feee0ea5d99002b489c87041", "title": "BORTAS: Quantifying the impact of BOReal forest fires on Tropospheric oxidants over the Atlantic using Aircraft and Satellites", "abstract": "BORTAS was a NERC Response mode project which aims to investigate the connection between the composition and the distribution of biomass burning outflow, ozone production and loss within the outflow, and the resulting perturbation to oxidant chemistry in the troposphere. The BORTAS team will sample biomass burning outflow over the North Atlantic in summer 2011 the using FAAM BAe-146 aircraft and then describe the observed chemistry within plumes and quantify the impact of boreal fires on the North Atlantic region using a nested 3-D chemistry transport model.", "keywords": "BORTAS, FAAM, MODEL, atmospheric, chemistry", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8094/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8095/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6204/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/877/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72696/?format=api" ] }, { "ob_id": 11992, "uuid": "800adcadb0346874a5e1d153fedf29ce", "title": "FREE - Land Use Management Effects in Extreme Floods", "abstract": "The Land Use Management Effects in Extreme Floods project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 2 - NE/F001134/1 - Duration December 2007 - March 2011) led by Prof PE O'Connell, Newcastle University. The data and metadata from this project will be stored at the BADC.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8096/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8097/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10240/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10344/?format=api" ], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/997/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45937/?format=api" ] }, { "ob_id": 11993, "uuid": "053e6a561eaa563e2d7f69f1df3786ef", "title": "Chemistry-Climate Model Validation Activity 2 (CCMVal-2)", "abstract": "SPARC has established the Chemistry-Climate Model Validation Activity (CCMVal) for coupled chemistry-climate models (CCMs). The goal of CCMVal is to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results.", "keywords": "CCMVal, climate, model, CCM's, GCM's", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8099/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8098/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/10998/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/19200/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45938/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45939/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45940/?format=api" ] }, { "ob_id": 11994, "uuid": "8c377d2dab93162286fc77c2dbf1eba0", "title": "Fennec - The Saharan Climate System", "abstract": "Fennec -The Saharan Climate System was a NERC consortium project 2010-2012 lead by the University of Oxford and involving the Universities of Leeds, Reading, Sussex and the Met Office.\r\n\r\nThe aim of Fennec was to quantify and model boundary layer and aerosol processes over the Saharan 'heat low' region, the greatest dust region during summer. This is the most ambitious project ever to observe the Saharan climate system and the role of dust aerosols, involving a unique surface and aircraft field campaign with the FAAM BAe-146.", "keywords": "FENNEC, FAAM, airborne, atmospheric measurments", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9065/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8100/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8101/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10328/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/15682/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/186775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45943/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45945/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45946/?format=api" ] }, { "ob_id": 11995, "uuid": "30a76df0ce9eb8c2ad0d3951290f667e", "title": "QUEST Theme 1- Quantifying ecosystem roles in the carbon cycle (QUERCC)", "abstract": "The Principal Investigator in this project was Prof Ian Woodward from University of Sheffield, with 11 co-investigators at the Centre for Ecology and Hydrology (CEH), the Forestry Commission’s Forest Research, the Agriculture and the Environment Division at Rothamsted Research, and the Universities of Aberdeen, Edinburgh, Leeds, York, Oxford and Southampton.\r\n\r\nQUERCC addressed land surface processes over timescales from days to centuries, with particular emphasis on the carbon cycle. Some processes are already well represented and validated in Dynamic Global Vegetation Models (DGVMs), while others that are known to impact on the carbon cycle are not. Independent carbon and vegetation data sets were compared against DVGMs to assess their current state, and further key modules were developed for nutrient cycling, which exerts a major feedback on carbon exchange, and for a greater resolution of plant processes. A global map of plant functional types that exert significant impacts on the carbon cycle was also developed.", "keywords": "QUEST, QUERCC, carbon cycle, model, vegetation", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8103/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8104/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/2126/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/1650/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72543/?format=api" ] }, { "ob_id": 11996, "uuid": "752a9a810d1e0987d6f77d25e1da8f40", "title": "QUEST Theme 1- Marine Biogeochemistry and Initiative in QUEST (MarQUEST)", "abstract": "MarQUEST was led by Prof Andrew Watson (UEA), with 15 co-investigators at UEA/BAS, the Universities of Southampton, Essex, and Reading, and from the Plymouth Marine Laboratory and Proudman Oceanographic Laboratory.\r\n\r\nMarQUEST developed new methods of validating ocean biogeochemistry models, making use of remote sensing ocean colour data, in situ data sets and ongoing observations from the major European programmes, CarboOcean and EUR-OCEANS. In the past, ocean biogeochemical models represented biological processes in very simple or rigid ways (e.g., single nutrient limitation, a single generic primary producer), limiting understanding of the role of ecosystems in the climate system. Increasing the complexity of models has presented new challenges for their validation; it is also not clear what the ‘optimal’ complexity of a model should be for any given real-world problem.\r\n\r\nQUEST scientists cooperated in comparing various models, and examining more fundamental (physiological) approaches to understanding the planktonic ecoystem. MarQUEST also developed a module to simulate coastal ecosystems, usable in global ocean biogeochemical simulations. Finally, the project team generated an accurate physical simulation of the North Atlantic guided by data assimilation, into which ecosystem simulations can be embedded. This allows the variation in air-sea fluxes of gases (CO2, oxygen and dimethyl sulphide) from ocean to atmosphere to be quantified for the contemporary period.", "keywords": "QUEST, MarQUEST, Marine, ocean, biogeochemistry, model", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8107/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/5358/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/1650/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45948/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72540/?format=api" ] }, { "ob_id": 11999, "uuid": "3b989081d0f72e0e093f90cfa09641e3", "title": "QUEST Theme 2- Using palaeodata to reduce uncertainties in climate prediction (PalaeoQUMP)", "abstract": "PalaeoQUMP was headed by Prof Sandy Harrison of the University of Bristol, with co-investigators at the University of Southampton and Durham University.\r\n\r\nPalaeoQUMP aimed to constrain climate sensitivity by using a wider range of derived climate observations from the geological past (reconstructions from sediments and geomorphological changes for the Last Glacial Maximum and the mid-Holocene period), to evaluate climate model predictions generated using the same series of simulations as QUMP produced for the modern climate. The mid-Holocene and LGM climate reconstructions have been completed, with input from the PMIP Quantitative Reconstruction working group. Robust patterns evident in the data sets are being used as benchmarks and targets for the IPCC AR5 palaeoclimate simulations. The team has also produced the first coupled model (AOGCM) perturbed physics ensemble simulations of the MH and LGM. However the objective of using this data for an improved understanding of past climate to better constrain climate sensitivity has not yet been fully achieved.", "keywords": "QUEST, PalaeoQUMP, sediments, climate, glacial. IPCC", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8114/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/5435/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/1650/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45951/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/57424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72537/?format=api" ] }, { "ob_id": 12000, "uuid": "85fbfa1a967a8c658ee3bee19cdd8bb9", "title": "QUEST Theme 2- Quaternary (Regulation of atmospheric carbon dioxide on glacial-interglacial timescales and its coupling to climate change)", "abstract": "Quaternary QUEST was led by Dr Tim Lenton at UEA, with a team of 10 co-investigators at the Universities of Cambridge, Oxford, Reading, Leeds, Bristol, Southampton and at UEA.\r\n\r\nOver the last million years, the Earth has experienced a sequence of temperature oscillations between glacial and interglacial states, linked to variations in the Earth’s orbit around the sun. These climate oscillations were accompanied by changes in atmospheric CO2, but the fundamental reasons for this relationship are still unresolved.\r\n\r\nThis project team aimed to compile a synthesis of palaeodata from sediments and ice cores, improve the synchronization of these records with each other, and use this greater understanding of the Earth’s ancient atmosphere to improve Earth system models simulating climate over very long timescales. A combined long-term data synthesis and modelling approach has helped to constrain some key mechanisms responsible for glacial-interglacial CO2 change, and Quaternary QUEST have narrowed the field of ocean processes that could have caused glacial CO2 drawdown.\r\n\r\n ", "keywords": "QUEST, Quaternary, carbon dioxide, climate change, glaciation", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8117/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/4096/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/1650/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45952/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/71766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72535/?format=api" ] }, { "ob_id": 12002, "uuid": "63621c7e48fc2d4ca715b93e47f09b04", "title": "QUEST Theme 2- Dynamics of the Earth System and the Ice-Core Record (DESIRE)", "abstract": "DESIRE (Dynamics of the Earth System and the Ice-Core Record) was part of Theme 2 QUEST (Quantifying and Understanding the Earth System) programme. The project involved an Anglo-French collaboration between QUEST and INSU (Institut national des sciences de l'univers). The project responded to a call to “explain the major changes in atmospheric carbon dioxide and methane concentration over glacial-interglacial timescales”. The project had three strands. In the first strand, tools to improve understanding and modelling of methane were worked on; this included improvements to models, as well as new constraining datasets. In the second strand, similar improvements for CO2 were to be made. The third strand included model simulations and a major data compilation covering the 800,000 year ice core period.\r\n\r\nMuch of the early research in this project used the simple Earth system model GENIE, which generally yields robust results. For example, CO2-forced transient simulations over 650,000 years reproduced Antarctic temperature anomalies with a high correlation, broadly capturing the QUEST Final Report, June 2011 22 magnitude of glacial-interglacial temperature changes. This study found that warm peaks in interglacials are consistent with changes in the meridional overturning circulation. \r\n \r\n", "keywords": "QUEST, DESIRE, ice, glacial, CO2, model", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8121/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8122/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/1647/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/1650/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45954/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72533/?format=api" ] }, { "ob_id": 12004, "uuid": "2adb17467921a6ad75a75dfea5d0641e", "title": "QUEST Theme 3- Global- scale impacts of climate change (GSI)", "abstract": "QUEST GSI was led by Nigel Arnell (University of Reading) with co-investigators from the Universities of Aberdeen, Leeds, UEA, Edinburgh, Southampton, UCL, London School of Hygiene and Tropical Medicine, CEH and CEFAS.\r\n\r\nA central aim of this project was to assess the global-scale impacts of climate change under a range of scenarios, across a number of sectors. A methodology was developed to construct scenarios from a range of climate models, representing changes under different emissions scenarios and fixed amounts of change in global mean temperature. Impacts were estimated across a range of sectors, including water resources, fluvial and coastal flooding, crop productivity and food security, ecosystem productivity and human health, at regional and global scales.\r\n\r\nThe project has provided quantitative information on these impacts and their distribution across the world. The general conclusions are that impacts may be significant at relatively low levels of climate change, that estimates of impact in some sectors are very uncertain due largely to uncertainty in projected changes in rainfall (particularly in south Asia), that there are no obvious thresholds for step changes in impact that are consistent across region and sector, and that socio-economic conditions may amplify or reduce impacts, depending on context.\r\n\r\nA second project aim was to develop the methodology in such a way that it could be readily applied to estimate impacts under other climate scenarios representing for example specific policy objectives. With additional funding from other sources, the project methodology has been applied successfully to estimate the impacts avoided by a set of feasible emissions policies.\r\n", "keywords": "QUEST, GSI, climate change, aquatic, run off", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8126/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8127/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/4950/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/1650/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45956/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72530/?format=api" ] }, { "ob_id": 12006, "uuid": "b14d2becbbf1053f4fd5898a53cef2b4", "title": "QUEST Theme 3- Predicting impacts and consequences of climate change on fisheries (QUEST Fish)", "abstract": "QUEST Fish was led by Dr Manuel Barange (PML) with 18 co-investigators from POL, PML, CEFAS, University of Plymouth, University of Portsmouth, CSIC (Spain), UEA, WorldFish Centre, IPSL, ICES (Denmark), Met Office, IRD (Paris) and University of North Carolina, as part of QUEST (Quantifying and Understanding the Earth System)\r\n\r\nQUEST-Fish has delivered a near-global assessment of consequences of climate change for fisheries, demonstrating excellent and innovative bridging of marine biogeochemistry models and socio-economics. QUEST-Fish specifically focused on the added impacts that climate change is likely to cause on global fish production, and on the subsequent additional risks and vulnerabilities to human societies.\r\n\r\nThe team have demonstrated the broad capability of an integrated regional coastal/shelf seas model system. The physical-ecological POLCOMS-ERSEM model that underpinned the research was developed for Europe’s regional seas. Its application to 20 Large Marine Ecosystems (coastal bioregions) worldwide, covering two-thirds of the world’s fish catch, has been critically evaluated and found adequate for most regions (the physical and biogeochemical differences of the upwelling region off Peru presents challenges, with the climate impact likely to be over-expressed in the fisheries projection output). ", "keywords": "QUEST, Fish, biology, fisheries, climate change", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8131/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/5349/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/1650/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45958/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72527/?format=api" ] }, { "ob_id": 12007, "uuid": "3228fd0352497a56a98cf0dd1141c6d7", "title": "QUEST Theme 3- Fire Modelling and Forecasting System (FireMAFS)", "abstract": "Fire was the most important disturbance agent worldwide in terms of area and variety of biomass affected, a major mechanism by which carbon is transferred from the land to the atmosphere, and a globally significant source of aerosols and many trace gas species. Despite such clear coupling between fire, climate, and vegetation, fire was not modelled as an interactive component of the climate/earth systems models of full complexity or intermediate complexity, that are used to model terrestrial ecosystem processes principally for simulating CO2 exchanges.\r\n\r\nThe objective of FireMAFS was to resolve these limitations by developing a robust method to forecast fire activity (fire 'danger' indices, ignition probabilities, burnt area, fire intensity etc), via a process-based model of fire-vegetation interactions, tested, improved, and constrained. This used a state-of-the-art EO data products and driven by seasonal weather forecasts issued with many months lead-time.\r\n\r\nFireMAFS was led by Prof Martin Wooster (Kings College, London) with 9 co-investigators from UCL, University of Leicester, University of Reading, ESSC, University of Bristol and CEH.", "keywords": "QUEST, FireMAFS, Fire, modelling, forecasting", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8134/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/428/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/1650/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72522/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72523/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72524/?format=api" ] }, { "ob_id": 12008, "uuid": "8b0478a9add027f5c8927c623c52f00d", "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 ", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9060/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9091/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9101/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10327/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/15135/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/5785/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45960/?format=api" ] }, { "ob_id": 12009, "uuid": "7170fd8a63c1325dbe5187daf421d788", "title": "FREE - Coastal Flooding by Extreme Events (CoFEE)", "abstract": "The Coastal Flooding by Extreme Events (CoFEE) project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002471/1 - Duration April 2007 - May 2010) led by Prof. Jon Williams, University of Plymouth. The data and metadata from this project will be stored at the British Oceanographic Data Centre.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10232/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10333/?format=api" ], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/997/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/52804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45962/?format=api" ] }, { "ob_id": 12010, "uuid": "4cbacddb06ec27979381b7068a446ea2", "title": "SCOUT-O3", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8139/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45963/?format=api" ] }, { "ob_id": 12011, "uuid": "a800aa65ab523de9a7935814b5f8167b", "title": "TWPICE", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8140/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45964/?format=api" ] }, { "ob_id": 12014, "uuid": "bb4b4202419e2e1bf9099b872ec1cd23", "title": "C-130 Campaign", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8143/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45967/?format=api" ] }, { "ob_id": 12015, "uuid": "d2ab3f9788dfe1ad71fb69a6052f614d", "title": "Dynamics and Chemistry of Frontal Zones", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8145/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45968/?format=api" ] }, { "ob_id": 12017, "uuid": "b4f30787e9bf912f93d19915aac7dc22", "title": "Experiment to investigate gravity waves, mixing and filamentation in the tropopause", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8148/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8149/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45970/?format=api" ] }, { "ob_id": 12018, "uuid": "e7e6af196093239ae523483a34220675", "title": "Intercontinental transport of ozone and precursors, North Atlantic study", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8150/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8151/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45971/?format=api" ] }, { "ob_id": 12019, "uuid": "423b59ee42fb24bb250b1c1bbaae22c9", "title": "Tracers and Dispersion of Gaseous Pollutants", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8152/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45972/?format=api" ] }, { "ob_id": 12020, "uuid": "f305d534edd0f9ef4ea7f5fdc0a71e95", "title": "Observation, Modelling and Management of Urban Air Pollution (PUMA Consortium)", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8153/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8154/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45973/?format=api" ] }, { "ob_id": 12021, "uuid": "f80d11c014e8a85db87b594d63acc4e1", "title": "Characterisation, Source-Receptor Modelling and Fate of Organics in Airborne Particles", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8155/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45974/?format=api" ] }, { "ob_id": 12022, "uuid": "d84300f0f96d09bf30a59ed7f0129158", "title": "Development of a User-Friendly Software Package for Predicting the Concentration of Pollutant in the Atmosphere from Chimney Emissions in Urban Environments", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8156/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45975/?format=api" ] }, { "ob_id": 12023, "uuid": "b864866180f05bd183d4b3efbb2d940e", "title": "Diode Laser Detection of Peroxy Radicals in the Atmosphere", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8157/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45976/?format=api" ] }, { "ob_id": 12024, "uuid": "2e4d6cfeb5e5f20254f4a6b7a8b5888d", "title": "Airborne Particulate Pollutants: Physicochemistry and Toxicity", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8158/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45977/?format=api" ] }, { "ob_id": 12025, "uuid": "746e2cc44c0d53448bbcad41bf1ec8ed", "title": "An Instrumented Aircraft Facility to Provide Vertical Profiles of Wind, Temperature, Turbulence, Sensible Heat, Aerosol and Trace-Gas Concentrations and Fluxes within the Urban Boundary Layer for PUMA Consortia Model Validation", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8159/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45978/?format=api" ] }, { "ob_id": 12026, "uuid": "22889b703f2e82df19ff71509c817088", "title": "Development of a Lumped Gas Phase Mechanism for Use in Urban Chemical Transport Models", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8160/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45979/?format=api" ] }, { "ob_id": 12027, "uuid": "7f57402bb315123dbf13f4ba8402b0fa", "title": "Universities Weather Research Network (UWERN) Urban Meteorology Programme", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8161/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45980/?format=api" ] }, { "ob_id": 12028, "uuid": "4a8f4e181321050a39b5b38145174939", "title": "Sources and Sinks of Urban Aerosols", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8162/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45981/?format=api" ] }, { "ob_id": 12029, "uuid": "d3003fd2a0980cb100274616d6cd78dc", "title": "Evolution of the Particle Size Distribution of Vehicular Emissions in the Urban Atmosphere", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8163/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45982/?format=api" ] }, { "ob_id": 12030, "uuid": "4e3bcab22cccc08852c5ac3c1e0ba44d", "title": "Experimental Quantification and Modelling of Dispersion of Particles in Urban Street Canyons", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8164/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45983/?format=api" ] }, { "ob_id": 12032, "uuid": "25f81ea59805c698472bdf714335d81e", "title": "CLOud Processing of regional Air Pollution advecting over land and sea.", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8168/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45985/?format=api" ] }, { "ob_id": 12034, "uuid": "9578c7378d5c361822528d9845216699", "title": "Ionisation as a precursor to aerosol formation", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8170/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45987/?format=api" ] }, { "ob_id": 12035, "uuid": "61d84ba6e537f5d4d0a1d4e49de85fc8", "title": "Advanced GC-MS technology for observing OVOCs and NMHCs in the polluted troposphere", "abstract": "Advanced GC-MS technology for observing OVOCs and NMHCs in the polluted troposphere was a NERC Polluted Troposphere Research project (Round 1 - NER/T/S/2002/00151 - Duration 2002 - 2005) and was led by DR D Shallcross, University of Bristol\r\n\r\nThe aims of this project were:\r\n\r\n-To develop new methods for routine observations of the oxygenated VOCs concentrations in air based on advanced GC-MS technology.\r\n-Specifically targeted OVOCs which included methanol, ethanol, propanol, butanol, methyl butenol (MBO), acetone, butanone, 3-methyl furan, acrolein, mathacrolein, methyl vinyl ketone and the C2 to C6 aldehydes.\r\n-Survey for new OVOCs in the VOCs sample matrix. In collaboration with Leeds, participation in the TORCH 2004 field campaign.\r\n-Obtain parallel measurements for as many NMHCs as can be resolved and deconvoluted by GC-MS techniques. Key species included isoprene, 1,3-butadiene, benzene and toluene together with the n- and iso- C2 to C6 alkanes.\r\n-From the resolved OVOCs and NMHC measurements investigation was made into hydrocarbon degradation products in air of different photochemical age and origin.", "keywords": "Polluted Troposphere, OVOCs, NMHCS, Chemistry", "status": "", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14346/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/1345/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55780/?format=api" ] }, { "ob_id": 12036, "uuid": "207f26c5fe126509da04d2ed2c1f5562", "title": "Aircraft Measurement of Chemical Processing and Export fluxes of Pollutants over the UK (AMPEP)", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8173/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45989/?format=api" ] }, { "ob_id": 12037, "uuid": "ae89ac225cfe8fd2b0659a0dc8f9482e", "title": "The NitroEurope Integrated Project (NEU)", "abstract": "The NitroEurope Integrated Project, NEU IP for short, is a developing effort to coordinate European research on the nitrogen cycle. The project, funded by the Sixth Framework Programme of the European Commission, started on the 1 February 2006 and is intended to last 5 years. The science within the project is covered by the following six interactive project components. Component 1. Flux network. Component 2. Ecosystem manipulation. Component 3. Plot scale modelling. Component 4. Landscape analysis. Component 5. European integration. Component 6. Verification.\r\n\r\nThe data from this project was handled by CEH Environmental Information Platform. Further information can be found using links on this record.", "keywords": "NitroEurope, NERC, NEU", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8175/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72518/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72519/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72520/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72521/?format=api" ] }, { "ob_id": 12039, "uuid": "e49cbf3f41f604d8eef01d1bc114b64c", "title": "era40_observations", "abstract": null, "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8179/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45992/?format=api" ] }, { "ob_id": 12040, "uuid": "6bf71454be300c7190f538f0351f1f39", "title": "TROMPEX", "abstract": "TRade Winds Ozone, Mixing Layer and Photochemistry Experiment (TROMPEX). Led by Dr. Lucy Carpenter, University of York. Email ljc4.york.ac.uk", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8181/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/17409/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45993/?format=api" ] } ] }