Project List
Get a list of Project objects. Projects have a 1:1 mapping with Observations.
GET /api/v3/projects/?format=api&offset=1600
{ "count": 1639, "next": null, "previous": "https://api.catalogue.ceda.ac.uk/api/v3/projects/?format=api&limit=100&offset=1500", "results": [ { "ob_id": 44802, "uuid": "3fce2536dbdb48f393ca6fe07fbcf281", "short_code": "proj", "title": "[PREVIEW] Climate Change 2027: The Physical Science Basis. Working Group I Contribution to the IPCC Seventh Assessment Report", "abstract": "Data for the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Seventh Assessment Report (AR7).\r\n\r\n---------------------------------------------------\r\nAcknowledgements\r\n---------------------------------------------------\r\n[Update]", "publicationState": "preview", "keywords": "IPCC-DDC, IPCC, AR7, WG1, WGI, Working Group I, Physical Science Basis, Seventh Assessment Report, Intergovernmental Panel on Climate Change", "status": "ongoing", "parentProject": null, "subProject": [], "imageDetails": [ 238 ], "observationCollection": [], "identifier_set": [], "responsiblepartyinfo_set": [ 214554, 214555, 214556, 214553, 214558 ], "onlineresource_set": [ 94167, 94168 ] }, { "ob_id": 44812, "uuid": "585ecb47c9744a29b298c836c6ea38fc", "short_code": "proj", "title": "Copernicus Climate Change Service: ECV Products and Services for the Atmospheric Physics Domain", "abstract": "This C3S project covers provision of data covering five Essential Climate Variables (ECVs): cloud properties, Earth radiation budget, surface radiation budget, upper-air water vapour and precipitation.", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13509 ], "responsiblepartyinfo_set": [ 214604, 214605 ], "onlineresource_set": [] }, { "ob_id": 44841, "uuid": "9935ff7ff2444b9db90575d9d16fd4e0", "short_code": "proj", "title": "SISTeR: Scanning Infrared Sea surface Temperature Radiometer", "abstract": "The Scanning Infrared Sea surface Temperature Radiometer (SISTeR), developed at Rutherford Appleton Laboratory, is a self-calibrating filter radiometer for the in situ measurement of skin SST, that has been used to validate the radiometers ATSR-1, ATSR-2, AATSR and SLSTR which were on-board ERS-1, ERS-2 ENVISAT and Sentinel-3 respectively. The instrument has been deployed on MS Color Festival (2006), MS Prinsesse Ragnhild (2008), and RMS Queen Mary 2 (2010-present).", "publicationState": "published", "keywords": "", "status": "ongoing", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [ { "ob_id": 44842, "uuid": "39d5fef09ffb43429c7366afc941069c", "short_code": "coll", "title": "SISTeR: Collection of RMS Queen Mary 2 (QM2) Cruise datasets, v2.5", "abstract": "This collection is the record of data from the SISTeR (Scanning Infrared Sea surface Temperature Radiometer) instrument taken on RMS Queen Mary 2 since 2010, processed with version 2.5 of the processor to level 2R and level 3R. These have included World Cruises, North Atlantic crossings, and side trips, in particular to the Caribbean, Canada, Northern Europe and the Mediterranean." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 214749, 214750, 214751, 215366 ], "onlineresource_set": [] }, { "ob_id": 44846, "uuid": "f47bf45168294b3caa91a8ca16e49938", "short_code": "proj", "title": "TEAMxUK", "abstract": "Multi-scale Transport and Exchange processes in the Atmosphere over Mountains – programme and eXperiment (TEAMx) is an international research programme that aims at improving our understanding of exchange processes in the atmosphere over mountains and at evaluating how well these are represented in NWP and climate models. TEAMxUK is the UK component of the TEAMx programme, led by NCAS.\r\nTEAMx is a bottom-up initiative by a number of research institutions and operational centres , supported by a coordination office at the University of Innsbruck and based on national, bi-national and multi-national research projects. It is motivated by recent scientific and technological progresses in observing and modeling small-scale processes in the atmospheric boundary layer.\r\nThe project includes the TEAMx Observational Campaign (TOC) with ground-based in situ, remote sensing and aircraft measurements across various sites in the European Alps, with target areas in the Inn Valley (Austria), the Adige Valley (Italy), the Alpine Crest between these two, and the Alpine Foreland in Germany. This took place from September 2024 to September 2025 with two Extensive Observation Periods (EOPs), one in winter (20 January – 28 February 2025 ) and one in summer (16 June – 25 July 2025)", "publicationState": "published", "keywords": "TEAMx, NCAS, TEAMxUK", "status": "ongoing", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [ { "ob_id": 45397, "uuid": "566eb16a01a04767b6156b90cf140b9e", "short_code": "coll", "title": "TEAMxUK: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for TEAMxUK." } ], "identifier_set": [ 13522, 13858 ], "responsiblepartyinfo_set": [ 214776, 217269 ], "onlineresource_set": [ 94211 ] }, { "ob_id": 44848, "uuid": "78f5d23074814017ace83958cfc460e2", "short_code": "proj", "title": "World Ocean Database", "abstract": "The World Ocean Database (WOD) is world's largest collection of uniformly formatted, quality controlled, publicly available ocean profile data. It is a powerful tool for oceanographic, climatic, and environmental research, and the end result of more than 20 years of coordinated efforts to incorporate data from institutions, agencies, individual researchers, and data recovery initiatives into a single database. https://www.ncei.noaa.gov/products/world-ocean-database", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [], "responsiblepartyinfo_set": [ 214790 ], "onlineresource_set": [] }, { "ob_id": 44857, "uuid": "e5a8282d20ac45a094f763aaba1d7a51", "short_code": "proj", "title": "Linear Optimal Runoff Aggregate (LORA)", "abstract": "LORA is a new global runoff dataset and its associated uncertainty with monthly temporal resolution covering the period 1980-2012 with 0.5 degree latitude and longitude resolution. A weighting approach was applied to optimally combine available gridded runoff datasets from the eartH2Observe project. The weighting was constrained with streamflow observational records from various source. The weighting method is based on the ability of the models to match observed streamflow data while accounting.", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [], "responsiblepartyinfo_set": [ 214849, 214850 ], "onlineresource_set": [] }, { "ob_id": 44859, "uuid": "0083e48cccb9462c987af9860570bf3c", "short_code": "proj", "title": "Harmonized Wolrd Soil Database", "abstract": "The Harmonized World Soil Database version 2.0 (HWSD v2.0) is a unique global soil inventory providing information on the morphological, chemical and physical properties of soils at approximately 1 km resolution. Its main objective is to be useful for modelers and to serve as a basis for prospective studies on agroecological zoning, food security and the impacts of climate change. https://openknowledge.fao.org/items/85cc8895-e135-4c5b-94bb-a814e60a69ab", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [], "responsiblepartyinfo_set": [ 214861, 214862 ], "onlineresource_set": [] }, { "ob_id": 44868, "uuid": "53781a9dbe664f1ab6b3c8d8f27243de", "short_code": "proj", "title": "IMpacts of PRecipitation from Extreme StormS - Malaysia (IMPRESS-Malaysia)", "abstract": "IMPRESS-Malaysia is a NERC funded project to study the hydrological impacts of extreme precipitation over Malaysia.\r\n\r\nIn a warmer climate, the amount of precipitation is expected to increase, as warmer air can hold more water. At the regional level - where impacts are felt - patterns of change are less well understood due to uncertainty in the circulation response to warming. In addition to these changes in mean precipitation, increases in precipitation extremes may be considerable, and are expected to increase at around 7% per degree Celsius of warming. Extreme events frequently cause the greatest damage, making understanding the nature of changes in both the frequency and magnitude of such extremes a critical issue given their impact on society.\r\n\r\nIn Peninsular Malaysia, the majority of the annual total precipitation is produced by a relatively small number of intense events. These extreme precipitation events have been increasing in recent decades. They can lead to considerable damage through flooding, which can be enhanced by changes in land use. Annual, average annual flood losses are currently around RM 915 million in Malaysia. In a warmer climate, a shift to a more intense wet season (which is expected), with increased frequency of the most extreme events, may have significant implications for the hydrology of Peninsular Malaysia and associated impacts on society.\r\n\r\nThis project will investigate the dynamical features (e.g. tropical storms) that lead to extreme precipitation in Malaysia. It will study both their present-day behaviour and likely changes in the future. In doing so, it will achieve a dynamically constrained understanding of future extreme precipitation events. This represents a considerable advance on our current understanding of future changes in extreme precipitation in Malaysia. The project will then use this information to run a hydrological model to estimate future changes in streamflow, flood magnitudes and flood return periods. This model will include estimates of land use change which will also be developed as part of the project. Through this, information of unprecedented detail will be available to Malaysian government and society of the risks and impacts of future changes in extreme precipitation and associated changes in river flow. The project will also use this information to assess current intervention strategies and to develop a model of flood management which takes into account our improved understanding of flood risk. This information will be disseminated to a wide array of actors across government and civil society to ensure it has maximum impact. Ensuring that future infrastructural, societal and agricultural development in Malaysia is informed by prospective changes in key climate events is critical to successfully adapt to a warmer climate, whilst mitigating the impact of any changes on society and the economy of Malaysia. This project has the capacity to make a significant contribution to that aim.\r\n\r\nThe techniques developed as part of this project could be readily applied in other river basins and countries, such that the impact and longevity of this work could be far broader than the scope currently envisaged. The project partners intend to work with other collaborators to ensure that these broader benefits are realised. NE/S002707/1", "publicationState": "preview", "keywords": "NE/S002707/1", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [ 2 ], "observationCollection": [], "identifier_set": [], "responsiblepartyinfo_set": [ 214912, 214913 ], "onlineresource_set": [ 94237 ] }, { "ob_id": 44892, "uuid": "cf3852670bc2474ba22c221e6a353730", "short_code": "proj", "title": "Exploring the boundary of skilful seasonal forecasts for extreme storms over the North-Atlantic", "abstract": "The aim of EX-Storms is to explore the boundary of skilful seasonal predictions for extremely rare, but devastating winter windstorms caused by the most intense extra-tropical cyclones over the North-Atlantic and Europe. This data set relates to objective 1 of the project to significantly increase the sample size and thus the ability to analyse extreme rare events in a physically consistent way with the novel UNSEEN approach for ensemble hindcasts.", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13560 ], "responsiblepartyinfo_set": [ 215092, 215093, 215094 ], "onlineresource_set": [] }, { "ob_id": 44901, "uuid": "1f6f8b16d21442a6a8c2924f57095cd6", "short_code": "proj", "title": "NERC C-CLEAR DTP", "abstract": "Part of PhD project funded by NERC C-CLEAR DTP", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13562 ], "responsiblepartyinfo_set": [ 215123 ], "onlineresource_set": [] }, { "ob_id": 44922, "uuid": "52430f9919de4701b3513491fe119cb5", "short_code": "proj", "title": "Building Resilient Cities for Heat Waves", "abstract": "This NERC Independent Research Fellowship project employs both modelling and observational approaches to investigate the urban-atmospheric interactions as well as the urban surface energy balance under heatwaves.\r\nThe project aims to develop a comprehensive understanding of the urban-atmospheric interactions and the urban surface energy balance under heatwaves, and to provide a new dataset of building morphology for urban climate modelling.", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13564 ], "responsiblepartyinfo_set": [ 215246, 215247, 215248 ], "onlineresource_set": [] }, { "ob_id": 44948, "uuid": "47150f1b97dd4dabae115c8369860771", "short_code": "proj", "title": "JNCC NCEA Habitat Condition Change Project", "abstract": "Sentinel 1 and Sentinel 2 derived index layers have been created by the Joint Nature Conservation Committee (JNCC) as part of the Earth observation-based “Habitat Condition Change” project (HabCon). This project is funded by the Department for Environment, Food and Rural Affairs (Defra) as part of the Natural Capital and Ecosystem Assessment (NCEA) programme. The project seeks to facilitate the effective uptake and use of Earth Observation data by producing data and tools for investigating and detecting parcel-level change in habitats and habitat condition.\r\nIndex files were derived from Defra and JNCC Sentinel 1 and Sentinel 2 ARD across England and Scotland for the period 2015 to 2025 and will be added to regularly. \r\nThe Sentinel 2 dataset contains NDVI, NDMI, NDWI, NBR and EVI2 indices. \r\nFor Sentinel 1, VH/VV cross-ratio files have been generated for Sentinel-1A ascending orbit granules only.", "publicationState": "published", "keywords": "JNCC, ARD, VH/VV, NDVI, NBR, NDMI, NDWI, EVI2, Sentinel 1, Sentinel 2, EO indices, Analysis Ready Data, Sentinel, SAR, NCEA", "status": "ongoing", "parentProject": null, "subProject": [], "imageDetails": [ 235 ], "observationCollection": [], "identifier_set": [], "responsiblepartyinfo_set": [ 215333, 215334, 215335, 215336 ], "onlineresource_set": [ 94338, 94339 ] }, { "ob_id": 44952, "uuid": "d44ae8c7cb4e41fb99779886e3008951", "short_code": "proj", "title": "Space Weather Instrumentation, Measurement, Modelling and Risk (SWIMMR) - Thermosphere\"", "abstract": "The Space Weather Instrumentation, Measurement, Modelling and Risk - Thermosphere (SWIMMR-T) project is a \"Research to Operations\" (R2O) initiative designed to improve the UK’s ability to monitor and forecast the Earth’s thermosphere (the atmospheric layer from ~90 km to 1,000 km). While this region is the primary environment for Low Earth Orbit (LEO) satellites, it is highly sensitive to solar activity and long-term climate change. The project’s main goal is to provide the Met Office Space Weather Operations Centre (MOSWOC) with high-fidelity models to predict satellite drag and prevent orbital collisions.", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [], "responsiblepartyinfo_set": [ 215357, 215358, 215359 ], "onlineresource_set": [] }, { "ob_id": 45106, "uuid": "48df3bc5abf34360b4acf1343c2bbc77", "short_code": "proj", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative Project (Precursors CCI)", "abstract": "The European Space Agency (ESA) Precursors for Aerosols and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data.\r\n\r\nThis project is developing long-term climate data records of the GCOS Precursors for Aerosol and Ozone Essential Climate Variable. Precursors include the short-lived atmospheric trace gases: nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO), formaldehyde (HCHO), and ammonia (NH3).", "publicationState": "", "keywords": "ESA, Precursors, CCI", "status": "ongoing", "parentProject": null, "subProject": [], "imageDetails": [ 111 ], "observationCollection": [ { "ob_id": 45366, "uuid": "3466e9e3e72144e5941b35decb36c13a", "short_code": "coll", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning NO2 L3 data products collection, version 1.1", "abstract": "This dataset collection is comprised of the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project morning NO2 (nitrogen dioxide) Level 3 (L3) data products.\r\n\r\nThe version number is 1.1. Data are available in NetCDF format.\r\n\r\nThe following products are included in this collection:\r\n- GOME NO2 L3 data products version 1.1\r\n- SCIAMACHY NO2 L3 data products version 1.1\r\n- GOME-2 NO2 L3 data products version 1.1" }, { "ob_id": 45107, "uuid": "48f377e4674a49e28b43a513addaad01", "short_code": "coll", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors CCI) Dataset Collection", "abstract": "The European Space Agency (ESA) Precursors for Aerosols and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data.\r\n\r\nThis project is developing long-term climate data records of the GCOS Precursors for Aerosol and Ozone Essential Climate Variable. Precursors include the short-lived atmospheric trace gases: nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO), formaldehyde (HCHO), and ammonia (NH3).\r\n\r\nWorking in close liaison with climate data users, the project focuses on building consistent/harmonised long term multi-satellite mission climate data records from satellite instruments including GOME, SCIAMACHY, GOME-2, OMI, TROPOMI, IASI, and MOPITT.\r\n\r\nThe resulting datasets will include both single sensor level-2 and level-3 gridded products but also unique multi-sensor merged data series covering, for some variables, almost 3 decades of observations. These products will be fully documented according to CCI standards, and generated in a common data format following the netCDF CF metadata conventions." }, { "ob_id": 44908, "uuid": "463862326d574951bea52527f9df397d", "short_code": "coll", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors IASI NH3 L3 data products v4R", "abstract": "This collection of data forms the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project IASI (Infrared Atmospheric Sounding Interferometer) NH3 (Ammonia) L3 (Level 3) data products.\r\n\r\nProducts included in this collection are:\r\n- IASI/Metop-A NH3 L3 product\r\n- IASI/Metop-B NH3 L3 product\r\n- IASI/Metop-C NH3 L3 product\r\n- IASI NH3 L3 merged product\r\n\r\nThe version number is 4.0.1R. Data are available in NetCDF format." }, { "ob_id": 45688, "uuid": "ea10a8b33cd34d3b80e57c0f6a06f41a", "short_code": "coll", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): L3 HCHO products", "abstract": "The Formaldehyde (HCHO) Climate Data Record (CDR) product is a Level 3 (L3) HCHO product developed by using satellite data from the Tropospheric Monitoring Instrument (TROPOMI) (on Sentinel 5P) as part of the ESA (European Space Agency) Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThis collection record includes:\r\nMonthly L3 HCHO from TROPOMI, version 2.0" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 215924, 215916, 218683, 218684 ], "onlineresource_set": [ 94464, 94465 ] }, { "ob_id": 45144, "uuid": "281abbdda6ad4dc0a3e95dac0c3e68fb", "short_code": "proj", "title": "WM-Air (the West Midlands Air Quality Improvement Programme)", "abstract": "This project record covers the comprehensive atmospheric monitoring and modelling campaign conducted under the West Midlands Air Quality initiative. The primary objective of this research is to evaluate spatial and temporal variations in urban air pollution across the West Midlands metropolitan region, identifying key pollution drivers from transport, domestic combustion, and industrial activities. Backed by environmental science expertise, the overarching programme aims to provide actionable evidence to support policy-making, public health interventions, and environmental management strategies for regional stakeholders. This overarching project coordinates multiple independent observational and modelling streams, providing the framework for the specific datasets linked within this archive.", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13654 ], "responsiblepartyinfo_set": [ 216056, 216057, 216058 ], "onlineresource_set": [] }, { "ob_id": 45169, "uuid": "5dd74fca610b4226a1b325d1c5726e2c", "short_code": "proj", "title": "Long-term Single Centre Science (LTSS)", "abstract": "", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13666 ], "responsiblepartyinfo_set": [ 216149, 216150, 216151 ], "onlineresource_set": [] }, { "ob_id": 45179, "uuid": "26269b13a8fb444eb494972f59dd43cf", "short_code": "proj", "title": "Crowd-Grid", "abstract": "The Crowd-Grid project has delivered a set of daily maximum/minimum temperatures on 1km grids for the UK. It uses crowdsourced and 3rd party observations to give a detailed view of the temperatures people experience, including in built-up areas. A set of Recent Heat Packs for each UK local authority makes the Crowd-Grid information more accessible for users. Crowd-Grid differs from and complements HadUK-Grid, the Met Offices \"standard \" gridded dataset and official climate record.", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13667 ], "responsiblepartyinfo_set": [ 216224, 216225 ], "onlineresource_set": [] }, { "ob_id": 45252, "uuid": "44efc5752ede4682a155f3e98f2079c0", "short_code": "proj", "title": "A Two City study of Air Quality in Vietnam", "abstract": "The World Health Organisation describes poor air quality as the largest single environmental health risk and attributes eight million deaths annually to the consequences of exposure to air pollution. In recent times Vietnam has undergone rapid urbanisation, industrialisation and population growth and, as a result, has become one of the most polluted countries in the world. Despite this, air quality monitoring in Vietnam is patchy, and many of the previously reported studies are now quite dated.", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13693 ], "responsiblepartyinfo_set": [ 216518, 216519, 216520 ], "onlineresource_set": [] }, { "ob_id": 45352, "uuid": "0c80814cd7ec4f15a89629c582968b74", "short_code": "proj", "title": "Climate Change in the Arctic and North Atlantic Region and Impacts on the UK (CANARI)", "abstract": "CANARI is a 5-year research programme dedicated to understanding how climate variability and change in the Arctic-North Atlantic region will impact on the UK, with a focus on extreme weather and rapid, disruptive change.\r\nCANARI stands for Climate change in the Arctic – North Atlantic region and Impacts on the UK. The programme will take an all-in-one view of the Arctic – North Atlantic climate system, including the ocean, atmosphere and sea ice, to understand how changes in this region will affect the UK.\r\n\r\nCANARI is led by the National Centre for Atmospheric Science in collaboration with several Natural Environment Research Council research centres, including: British Antarctic Survey, British Geological Survey, Centre for Polar Observation and Modelling, National Centre for Earth Observation, National Oceanography Centre, and UK Centre for Ecology & Hydrology. The Met Office are project partners in CANARI.\r\n\r\nCANARI is part of the Natural Environment Research Council’s National Capability Multi-Centre Science programme – designed to bring science centres together for more ambitious, integrated, and large-scale research into critical environmental challenges. NE/W004984/1", "publicationState": "preview", "keywords": "CANARI, LTSM, NE/W004984/1", "status": "ongoing", "parentProject": null, "subProject": [], "imageDetails": [ 2 ], "observationCollection": [], "identifier_set": [], "responsiblepartyinfo_set": [ 216917, 216918 ], "onlineresource_set": [ 95203 ] }, { "ob_id": 45425, "uuid": "c3ec2248102a4e68a8419fe240a25c23", "short_code": "proj", "title": "VERIFY FAAM Aircraft Project", "abstract": "The VERIFY project utilised the FAAM aircraft. Further details to follow.", "publicationState": "working", "keywords": " VERIFY, FAAM, Met Office", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [ { "ob_id": 45428, "uuid": "270ba10f69f64e738180afbe2523502c", "short_code": "coll", "title": "VERIFY: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for VERIFY FAAM Aircraft Project." } ], "identifier_set": [ 13750 ], "responsiblepartyinfo_set": [ 217327, 217328 ], "onlineresource_set": [] }, { "ob_id": 45447, "uuid": "4f5a44c4d02540bf8ec19c24e9a0475b", "short_code": "proj", "title": "GRIM-SAF FAAM Aircraft Project", "abstract": "The GRIM-SAF project utilised the FAAM aircraft. Further details to follow.", "publicationState": "working", "keywords": " GRIM-SAF, FAAM, Met Office", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [ { "ob_id": 45450, "uuid": "056aa9b593104de89af12c753e62ed36", "short_code": "coll", "title": "GRIM-SAF: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for GRIM-SAF FAAM Aircraft Project." } ], "identifier_set": [ 13751 ], "responsiblepartyinfo_set": [ 217413, 217414 ], "onlineresource_set": [] }, { "ob_id": 45465, "uuid": "a3dac047d2a14c91bdf762f6e4a68b7a", "short_code": "proj", "title": "SHIFT FAAM Aircraft Project", "abstract": "The SHIFT project utilised the FAAM aircraft. Further details to follow.", "publicationState": "working", "keywords": " SHIFT, FAAM, Met Office", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [ { "ob_id": 45468, "uuid": "add67216706c4fb2b46604e0f690eeff", "short_code": "coll", "title": "SHIFT: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for SHIFT FAAM Aircraft Project." } ], "identifier_set": [ 13752 ], "responsiblepartyinfo_set": [ 217484, 217485 ], "onlineresource_set": [] }, { "ob_id": 45471, "uuid": "08c5d2f8742248f8a11ceac56ac73f46", "short_code": "proj", "title": "REVEAL FAAM Aircraft Project", "abstract": "The REVEAL project utilised the FAAM aircraft. Further details to follow.", "publicationState": "working", "keywords": " REVEAL, FAAM, Met Office", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [ { "ob_id": 45474, "uuid": "9d26d3b145004db89bd30e23713aac96", "short_code": "coll", "title": "REVEAL: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for REVEAL FAAM Aircraft Project." } ], "identifier_set": [ 13753 ], "responsiblepartyinfo_set": [ 217510, 217511 ], "onlineresource_set": [] }, { "ob_id": 45652, "uuid": "7cf27d29b43f4e419e82be6710f3ec49", "short_code": "proj", "title": "BATS FAAM Aircraft Project", "abstract": "The BATS project utilised the FAAM aircraft. Further details to follow.", "publicationState": "working", "keywords": " BATS, FAAM, Met Office", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [ { "ob_id": 45655, "uuid": "3af3b94e07c941a8a3f3552751881b90", "short_code": "coll", "title": "BATS: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for BATS FAAM Aircraft Project." } ], "identifier_set": [ 13755 ], "responsiblepartyinfo_set": [ 218194, 218195 ], "onlineresource_set": [] }, { "ob_id": 45672, "uuid": "b30debc1547a4968bfc7309c69f8f878", "short_code": "proj", "title": "New ways of measuring atmospheric hydrogen: paving the way for hydrogen leak quantification (NERC grant NE/X011976/1)", "abstract": "The aim of this project is to develop and demonstrate how mobile measurements of atmospheric hydrogen can be used to locate and quantify fugitive emissions of hydrogen to the atmosphere. The data provided here are atmospheric hydrogen concentration measurements from Egham, Surrey, UK, that were recorded throughout the project. \r\n\r\nNERC grant NE/X011976/1 - New ways of measuring atmospheric hydrogen: paving the way for hydrogen leak quantification", "publicationState": "", "keywords": "", "status": "", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [], "responsiblepartyinfo_set": [ 218274, 218275, 218276, 218277 ], "onlineresource_set": [] }, { "ob_id": 45674, "uuid": "0f6b35f682b6410fb5d0bfcd7a5e5a64", "short_code": "proj", "title": "Northwest European Seasonal Weather Prediction from Complex Systems Modelling (NERC grant: NE/V001787/1)", "abstract": "Weather conditions have significant socio-economic impacts and producing seasonal forecasts some months ahead would have significant benefits for society. Dynamical seasonal forecasting systems have led to some recent advances in forecasting skill, particularly in winter. However, there is considerable scope for applying machine-learning techniques to the problem. Using a novel Non-linear AutoRegressive Moving Average with eXogenous inputs (NARMAX) systems identification (an interpretable form of machine learning) approach, that identifies and models linear and non-linear dynamic relationships between a range of variables, this project seeks to extend skilful seasonal forecasting to seasons beyond winter, identify factors that contribute skill to the forecast, develop regional seasonal forecasts for Northwest Europe and assess the benefits of skilful probabilistic seasonal forecasts to potential users such as the agri-food industry.\r\n\r\nThese datasets relate to NERC grant: NE/V001787/1.", "publicationState": "", "keywords": "", "status": "", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [], "responsiblepartyinfo_set": [ 218284, 218285, 218288, 218286, 218287 ], "onlineresource_set": [] }, { "ob_id": 45676, "uuid": "293eb0d7b0ce4eb2adccb3195fd765e9", "short_code": "proj", "title": "CongoPeat - mapping water levels across the Congo Basin peatland complex", "abstract": "", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [], "responsiblepartyinfo_set": [ 218317, 218318, 218319 ], "onlineresource_set": [] }, { "ob_id": 45716, "uuid": "dd612cd174eb42af8045037c5a07ab3d", "short_code": "proj", "title": "Structure, Photosynthesis and Light In Canopy Environments (SPLICE)", "abstract": "The SPLICE project (Structure, Photosynthesis and Light In Canopy Environments) sought to improve our understanding of global photosynthesis and hence our ability to model climate change, by considering the way in which the three-dimensional structure of plants interacts with light and how this in turn impacts on the uptake of carbon. It employed state-of-the-art techniques to measure the three dimensional structure and photosynthesis of forests and construct detailed computer simulations to create a virtual laboratory that we can use to improve simulations from climate models.", "publicationState": "published", "keywords": "Trees, Structure, Photosynthesis, Drone", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [ 2 ], "observationCollection": [], "identifier_set": [], "responsiblepartyinfo_set": [ 218460, 218461, 218462, 218464, 218465, 218466, 218463 ], "onlineresource_set": [ 95374 ] }, { "ob_id": 45718, "uuid": "fc10dbeed0df48d6aff7ab27892e7609", "short_code": "proj", "title": "Birmingham Air Quality Supersite (BAQS)", "abstract": "", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13870, 13768 ], "responsiblepartyinfo_set": [ 218474, 218475, 218476 ], "onlineresource_set": [] }, { "ob_id": 45744, "uuid": "c55be4caa3ac4f99bfb72606058d24ac", "short_code": "proj", "title": "Development of the first global standard for airborne microplastic monitoring", "abstract": "A novel, yet simple, airborne microplastic (MP) sampling approach using global pollen monitoring equipment was applied to identify, characterise and quantify outdoor airborne MPs for the first time.", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13779 ], "responsiblepartyinfo_set": [ 218625, 218626, 218627 ], "onlineresource_set": [] }, { "ob_id": 45853, "uuid": "63c520766b4a41a3a392db78c2770dbe", "short_code": "proj", "title": "Whole Atmosphere Community Climate Model with Regional Refinement (WACCM-RR)", "abstract": "This work is associated with two projects:\r\n - WAVECHASM - Wave induced transport of chemically active species in the mesosphere and lower thermosphere.\r\n PI: Professor John Plane.\r\n - MesoS2D - Mesospheric sub-seasonal to decadal predictability.\r\n PI: Dr. Tracy Moffat-Griffin. Leeds Co-I: Professor Dan Marsh.", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13782 ], "responsiblepartyinfo_set": [ 219196, 219197, 219198 ], "onlineresource_set": [] }, { "ob_id": 45906, "uuid": "ae711fc1b34b4474af73ed6776324f93", "short_code": "proj", "title": "MesoS2D: Mesospheric sub-seasonal to decadal predictability", "abstract": "This project combined newly-available middle atmosphere observations from the EISCAT 3D ionospheric radar with the Specified Dynamics version of the Whole Atmosphere Community Climate Model (WACCM) with D-region ionic chemistry to quantify the drivers and variability of the mesosphere. \r\n\r\nThis work provided a first step towards improving predictability of the mesosphere at sub-seasonal to decadal timescales. The mesosphere influences, and is influenced by, in-situ and external effects such as atmospheric waves and tides (upward) and space weather effects (downward); and is strongly coupled to the lower edge of the ionosphere and the other atmospheric regions. A sound scientific understanding of the drivers of variability in the mesosphere is therefore needed in order to advance modelling of the whole atmosphere as a coupled system.\r\n\r\nThis project was led by British Antarctic Survey (BAS) scientists under Natural Environment Research Council (NERC) project MesoS2D (grant reference: NE/V018426/1).", "publicationState": "published", "keywords": "atmospheric tides, mesosphere, CESM, WACCM, NE/V018426/1", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13853 ], "responsiblepartyinfo_set": [ 219426, 219427, 219428 ], "onlineresource_set": [ 95581 ] }, { "ob_id": 45929, "uuid": "729993a3e53647d0af59e163a8cf1fad", "short_code": "proj", "title": "Contrail Observations and Lifecycle Tracking (COBALT)", "abstract": "Contrail Observations and Lifecycle Tracking (COBALT). More details needed.", "publicationState": "preview", "keywords": "", "status": "", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13856 ], "responsiblepartyinfo_set": [ 219495 ], "onlineresource_set": [] }, { "ob_id": 45933, "uuid": "a1b1cd85afa84807bbf011eb0c73e23d", "short_code": "proj", "title": "Characterising CiRrus and icE cloud acrosS the specTrum - Microwave (CCREST-M)", "abstract": "Characterising CiRrus and icE cloud acrosS the specTrum - Microwave (CCREST-M). More details needed.", "publicationState": "preview", "keywords": "", "status": "", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13857 ], "responsiblepartyinfo_set": [ 219506 ], "onlineresource_set": [] }, { "ob_id": 45952, "uuid": "a714d7b7128941c9a989cd7f53936f82", "short_code": "proj", "title": "STORMY-WEATHER: Plausible storm hazards in a future climate", "abstract": "UK Climate Resilience project", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13859 ], "responsiblepartyinfo_set": [ 219573, 219574, 219575 ], "onlineresource_set": [] }, { "ob_id": 45969, "uuid": "556cd9784c0c4313b3a214244b07d0a3", "short_code": "proj", "title": "Sources and Impacts of Short-Lived Anthropogenic Chlorine", "abstract": "Depletion of stratospheric ozone allows larger doses of harmful solar UV radiation to reach the surface leading to increases in skin cancer and cataracts in humans and other impacts, such as crop damage. Ozone also affects the Earth's radiation balance and, in particular, ozone depletion in the lower stratosphere (LS) exerts an important climate forcing. While most long-lived ozone-depleting substances (e.g. CFCs) are now controlled by the United Nations Montreal Protocol and their abundances are slowly declining, there remains significant uncertainty surrounding the rate of ozone layer recovery. Changes in the LS may cause delayed ozone recovery or even additional depletion, and can also have important effects on climate. One key uncertainty, highlighted in the WMO/UNEP 2014 Assessment of Stratospheric Ozone Depletion, is the increasing importance of uncontrolled chlorine-containing very short-lived substances (VSLS) which can reach the LS and cause ozone depletion.\r\n\r\nWhile significant amounts of brominated VSLS are known to be emitted naturally from the oceans, recent publications also show a rapid, unexpected and unexplained increase in anthropogenic chlorinated VSLS (Cl-VSLS), especially in E and SE Asia. Some of these Cl-VSLS will reach the stratosphere via deep convection in the tropics (through the tropical tropopause layer) or via the Asian Summer Monsoon (ASM) or the E Asian Winter Monsoon.\r\n\r\nThe Montreal Protocol is arguably the world's most successful environmental agreement. By controlling the production and emission of long-lived ODSs, it has set the ozone layer on the road to recovery. However, short-lived halogenated compounds (lifetimes <6 months) have so far not been included, based on the belief that they would not be abundant or persistent enough to have an impact. Recent observations suggest otherwise; calculations in this proposal suggest that Cl-VSLS may delay the recovery of the Antarctic Ozone Hole (to 1980 levels) by up to 30 years. Fortunately, the Montreal Protocol has a regular review process which allows amendments to deal with new threats to the ozone layer and climate, e.g. the recent 2016 success of including limits to the production of hydrofluorocarbons (HFCs).\r\n\r\nThis proposal takes advantage of UEA's heritage in atmospheric halocarbon measurements to obtain novel observations of chlorine compounds in the key E/SE Asia region and in the global mid-upper troposphere. Surface observations will be targeted in the key winter periods when we know that we will be able to detect polluted emissions from China, a likely major emitter of Cl-VSLS globally. We will extend the suite of gases currently measured by the CARIBIC in-service global passenger aircraft to include several newly-identified VSLS. This will allow us to investigate the distribution of these VSLS over a much wider geographical area, to identify source regions and to assess longer term changes in their atmospheric abundance.\r\n\r\nOur observations will be combined with detailed 3-D modelling at Leeds and Lancaster, who have world-leading expertise and tools for the study of atmospheric chlorine. One model will be used in an 'inverse' mode to trace back the observations of anthropogenic VSLS to their source regions. Overall, the models will be used to quantify the flux of halogenated ozone-depleting gases to the stratosphere and to determine their ozone and climate impact. We will calculate metrics for ozone depletion and climate change and feed these through to the policy-making process (Montreal Protocol) with the collaboration of expert partners. The results of SISLAC will provide important information for future international assessments e.g. WMO/UNEP and IPCC reports.\r\n\r\nThis project was funded by Natural Environment Research Council (NERC) grant reference: NE/R001782/1.", "publicationState": "published", "keywords": "NE/R001782/1", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13871 ], "responsiblepartyinfo_set": [ 219685, 219686, 219684 ], "onlineresource_set": [ 95608 ] }, { "ob_id": 46039, "uuid": "347d31fa3f9840aba86440c03c68e0b1", "short_code": "proj", "title": "Nitrous oxide measurements at Valentia Island, Co Kerry, Ireland", "abstract": "Nitrous oxide measurements were made at Valentia Island, County Kerry, Ireland in work funded by Met Éireann.", "publicationState": "published", "keywords": "", "status": "ongoing", "parentProject": { "ob_id": 27561, "uuid": "081a5ec3884441398aa2daae53a6189b", "short_code": "proj", "title": "UK DECC (Deriving Emissions linked to Climate Change) Network", "abstract": "The core UK Deriving Emissions linked to Climate Change (DECC) Network consists of five sites in the UK and Ireland measuring greenhouse and ozone-depleting gases. The four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet within 10 metres of ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. High frequency measurements of all major greenhouse gases are made at the four UK stations, including carbon dioxide, methane, nitrous oxide and sulfur hexafluoride. \r\n\r\nData from the UK DECC network are used to assess atmospheric trends and quantify UK emissions, and feed into other international research programs, including the Integrated Carbon Observation System (ICOS) and Advanced Global Atmospheric Gases Experiment (AGAGE) networks. This work is funded by the UK Government Department for Energy Security and Net Zero (DESNZ) under contracts TRN1028/06/2015, TRN1537/06/2018, TRN5488/11/2021 and and prj_1604 to the University of Bristol and through the National Measurement System at the National Physical Laboratory." }, "subProject": [], "imageDetails": [ 150 ], "observationCollection": [], "identifier_set": [], "responsiblepartyinfo_set": [ 220068, 220069, 220070, 220071 ], "onlineresource_set": [] }, { "ob_id": 46046, "uuid": "c731574d4e17456699feadb89907fda6", "short_code": "proj", "title": "EU HORIZON Europe EXPECT project: “Towards an Integrated Capability to Explain and Predict Regional Climate Changes”", "abstract": "Climate change is progressing rapidly, leading to more frequent and severe extreme weather events that current models find challenging to predict. The EXPECT project addresses critical gaps in understanding and predicting regional climate changes and extreme weather by using advanced climate model simulations, Earth observations, and machine learning. Addressing these knowledge gaps will provide a solid basis for reliable predictions of climate changes. \r\n\r\nThis project aims to enable trustworthy assessments and predictions of regional climate changes, including extremes, by developing a prototype operational capability for integrated attribution and prediction. Integrated attribution and prediction involve understanding and explaining the factors driving regional climate changes and extremes, assessing the accuracy of climate models in representing these drivers, and using this knowledge to improve climate predictions for more reliable and useful information. It will also promote collaboration and knowledge-sharing among international research communities, strengthening global efforts to manage and adapt to climate change impacts.", "publicationState": "preview", "keywords": "", "status": "ongoing", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [], "responsiblepartyinfo_set": [ 220094, 220095, 220096 ], "onlineresource_set": [ 95691 ] }, { "ob_id": 46084, "uuid": "23d7c16042ba46ba97691b7b5dc3df76", "short_code": "proj", "title": "Antarctic CCI+ Phase-2", "abstract": "ESA Climate Change Initiative project to generate and validate Antarctic Ice Sheet climate data records from satellite observations.", "publicationState": "published", "keywords": "", "status": "completed", "parentProject": null, "subProject": [], "imageDetails": [], "observationCollection": [], "identifier_set": [ 13892 ], "responsiblepartyinfo_set": [ 220173, 220171, 220172 ], "onlineresource_set": [] } ] }