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=1500
{ "count": 1624, "next": "https://api.catalogue.ceda.ac.uk/api/v2/projects/?format=api&limit=100&offset=1600", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/projects/?format=api&limit=100&offset=1400", "results": [ { "ob_id": 39747, "uuid": "1f3f0aa1eb364300a7882a0d9213c003", "title": "Inverse estimation of sector-level methane emissions using observations of secondary trace gases - PhD project at the University of Bristol", "abstract": "This work was carried out as park of a NERC-funded PhD project, by Alice Ramsden at the University of Bristol. This project aimed to improve sector-level top-down estimates of methane fluxes and reduce posterior flux uncertainty, by using high-frequency observations of secondary trace gases during the inversion process.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193568/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193569/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193570/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193571/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193591/?format=api" ] }, { "ob_id": 39801, "uuid": "c0f2fdfd01494992bd02af3cc425e681", "title": "Global Ensemble of Temperatures with Quantified Uncertainties in Observations, Coverage and Spatial modeling (GETQUOCS)", "abstract": "This project was focussed on exploring the contributions of different sources of uncertainty in global reconstructions of surface temperature, especially those associated with the spatial infilling. The project was undertaken by Maryam Ilyas during her doctoral research at University College London. The title of her PhD thesis was \"Sparse, fitted empirical orthogonal functions for climate reconstruction\". It was supervised by Serge Guillas and Chris Brierley. Funding for the research visit to Doug Nychka, during which the particular innovations present in this dataset were developed, was provided by the ReCOVER project (EP/M008495/1)", "keywords": "GETQUOCS, surface temperature, uncertainty, climate reconstruction", "status": "", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193843/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193859/?format=api" ] }, { "ob_id": 39805, "uuid": "b057708eec1042238fb333ab02ec772e", "title": "ESA High Resolution Land Cover Climate Change Initiative Project", "abstract": "The ESA High Resolution Land Cover Climate Change Initiative Project is part of the European Space Agency's Climate Change Initiative to produce long term datasets of Essential Climate Variables (ECV's) from historic satellite data.", "keywords": "ESA, Land Cover, CCI, high resolution", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "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/193878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193882/?format=api" ] }, { "ob_id": 39817, "uuid": "95ac58ab5d14408094c825df1a9909b0", "title": "The QBO response to a volcanic eruption", "abstract": "This project investigates simulations of tropical volcanic eruptions using the UM-UKCA aerosol-climate model with an explicit representation of the QBO. Simulations include eruptions emitting 60 Tg of SO2 (i.e., 1815 Mt. Tambora-magnitude) and 15 Tg of SO2 (i.e., 1991 Mt. Pinatubo-magnitude) initiated at the equator during two different QBO states. The dataset includes variables to understand the QBO response to a tropical volcanic eruption and the physical and dynamical drivers of the response.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193934/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193933/?format=api" ] }, { "ob_id": 39820, "uuid": "9b606be6637243eca443dc4a087ad9de", "title": "HyperDrone", "abstract": "HyperDrone was funded by the funded by the Discovery Element of the ESA’s Basic Activities to tackle the problem of marine plastic debris on the shore using remote sensing optical instruments. HyperDrone collected hyperspectral data with uncertainty estimates to develop algorithms for plastic detection of plastics to allowing as well to provide precise mission requirements for theorical new sensors. ESA contract number 4000113163/20/ NL/GLC", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193945/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193946/?format=api" ] }, { "ob_id": 39837, "uuid": "5817b366b1464dbeb465868c302b833b", "title": "OxAria: Air quality in Oxford City", "abstract": "The OxAria project is a Natural Environmental Research Council funded collaboration between the University of Birmingham and University of Oxford, supported by public and commercial partners. The project has applied advanced technological and environmental health expertise to understand the air and noise impacts of COVID-19 across Oxford City. See also https://oxaria.org.uk/ \r\n\r\nThe application of high-resolution sensing technology in this context offers potential to measure air pollution at an unprecedented scale and scope, providing a more comprehensive picture of air pollution across Oxford than has previously been possible. Data obtained before, during and after relevant COVID-19 restrictions have been used to understand impacts upon road traffic, air and noise pollution\r\nlevels and to assess implications for healthy life expectancy and therefore human health. This information will be used to provide an evidence-base for air quality policy within local authorities, public agencies and national Government.", "keywords": "", "status": "ongoing", "publicationState": "", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194014/?format=api" ] }, { "ob_id": 39846, "uuid": "f68d0d11c2574efab3893034bf98e287", "title": "Identifying low climate exposure coral reefs for climate-relevant coral reef management", "abstract": "The overarching aim of this project was to develop and test new tools for identifying low exposure coral reefs to better protect coral reef ecosystems from climate change. This aim was explored through the following three research questions: 1. Can climate models project local and regional scale changes in coral reef climate exposure? 2. How will extreme climate exposure on coral reefs change at local and regional scales in the future? 3. Are local-scale climate projections useful in conservation planning? This PhD project was funded by the Natural Environment Research Council (NERC) Spheres Doctoral Training Partnership (grant reference NE/L002574/1) at the University of Leeds.", "keywords": "CMIP6, coral reefs, sea surface temperature, statistical downscaling", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194033/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194036/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195483/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194035/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195484/?format=api" ] }, { "ob_id": 39906, "uuid": "e1d0be90d6794a398c190d1bd14dd8cf", "title": "MOASA Clean Air Project", "abstract": "The Met Office Atmospheric Survey Aircraft (MOASA) Clean Air project collected air pollution data over the UK between August 2019 to April 2022. During this time 60 flights were made (totalling over 153 hours of atmospheric sampling), across 8 repeatable sorties including two intensive data collection periods, one in summer and one in winter, flying upwind and downwind of the the Natural Environment Research Council (NERC) ‘supersites’ in London, Manchester and Birmingham and circling over them at various altitudes.\r\n\r\nThe aircraft was equipped with with air monitoring instrumentation to observe the three-dimensional distribution of pollutants (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol).\r\n\r\nThis project was part of the Strategic Priorities Fund (SPF) Clean Air Programme, delivered by UKRI.", "keywords": "SPF, Air Quality, Met Office, aircraft, meteorology, Clean Air, nitrogen dioxide, NO2, ozone, O3, sulphur dioxide, SO2, PM2.5, aerosol", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12465/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39574/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/39559/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194252/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198238/?format=api" ] }, { "ob_id": 39992, "uuid": "e710f839faa3436ead72b6ff7efef32d", "title": "Copernicus Climate Change Service: Sea Surface Temperature data production", "abstract": "The Copernicus Climate Change project (.....) produced Sea Surface Temperature datasets from the AVHRR and SLSTR instruments. \r\n\r\nTo be written....", "keywords": "", "status": "completed", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194906/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194907/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194908/?format=api" ] }, { "ob_id": 40019, "uuid": "3bfb7dfe4d354fb99864ae1d3de092c6", "title": "Total Carbon Column Observing Network (TCCON)", "abstract": "The Total Carbon Column Observing Network (TCCON) is a global network of ground-based Fourier Transform Spectrometers that record atmospheric transmission spectra in the near-infrared. The data held here in the CEDA archive are a mirror of the canonical repository for TCCON level 2 data located at https://tccondata.org/.\r\n\r\nThe observations are made using the solar occultation technique, where the sun provides the background radiation against which atmospheric transmission is recorded. From these spectra, accurate and precise column-averaged abundances of primary greenhouse gases are retrieved. Data products include carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO). More information is available from the Wikipedia page and the Caltech wiki page: https://en.wikipedia.org/wiki/Total_Carbon_Column_Observing_Network and https://tccon-wiki.caltech.edu/Main/TCCON", "keywords": "TCCON, Greenhouse gases, carbon dioxide, methane, carbon monoxide, nitrous oxide, ground-based, atmospheric trace gases, column-averaged dry-air mole fractions, remote sensing, FTIR spectroscopy", "status": "ongoing", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12523/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41060/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199734/?format=api" ] }, { "ob_id": 40028, "uuid": "db9835be84214bdd92a6c2cca5f7aae0", "title": "Physical and biological dynamic coastal processes and their role in coastal recovery (BLUE-coast)", "abstract": "BLUE-coast aims to inform coastal management by reducing uncertainties in the prediction of medium-term (years) and long-term (decadal and longer) regional sediment budgets, morphological change and how the coast recovers after sequences of storms. Approach: Our teams are undertaking observations and experiments to develop modelling tools that will be used to evaluate coastal resilience and scope alternative management options. BLUE-coast combines the expertise of biologists, coastal engineers, geologists, geographers, and oceanographers with complementary field, laboratory and numerical skills. Areas: As it is not feasible to quantify all the relevant morphodynamic processes at high spatial resolution across the entire UK coast, we focus on a number of representative coastal systems.", "keywords": "", "status": "completed", "publicationState": "preview", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40060/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195061/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195060/?format=api" ] }, { "ob_id": 40079, "uuid": "9f364df79edc4aa69735bfaec25b1c07", "title": "Hydro-JULES: Next generation land surface and hydrological prediction", "abstract": "Hydro-JULES is a NERC-funded research programme which will build a three-dimensional community model of the terrestrial water cycle to underpin hydrological research in the United Kingdom. Hydro-JULES is delivered by UKCEH in partnership with BGS and NCAS.\r\n\r\nThe Hydro-JULES model and its associated datasets will enable the UK to tackle outstanding research questions in hydrological science and will provide a national resource to support research both specific to the Hydro-JULES project and beyond.\r\n\r\nHydro-JULES will support and enable collaborative work across the research and academic community to:\r\naddress important science questions in the fields of hydrology, land-atmosphere feedbacks, carbon and nutrient cycles, data science and integration with novel instrumentation and Earth observation technologies;\r\nquantify the risks of hydro-climatic extremes (e.g., floods and drought) in a changing environment to support long-range planning and policy decisions;\r\nimprove hydrological forecasting using new sensors and modelling technology.\r\nThe Hydro-JULES project covers topics in land-surface science and hydrology including: quantification of hydro-meteorological risks, using high-resolution climate predictions for hydrological applications, calculation the impacts of environmental change on evaporation, transpiration, and soil moisture, modelling flood inundation over large areas, representing anthropogenic interventions in the water cycle, and application of new techniques including Earth observation and data assimilation. NE/S017380/1", "keywords": "NE/S017380/1", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195265/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195266/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195267/?format=api" ] }, { "ob_id": 40121, "uuid": "7d6c30d625664d4d805e26b385e65964", "title": "Physical Marine Climate Projections for the North West European Shelf Seas", "abstract": "This project has created a set of ensemble climate projections for the physical marine environment of the Northwest European Shelf Seas (NWS), with a consistent present day control simulation. The projections are an update to the Maritime INdustries Environmental Risk and Vulnerability Assessment (MINERVA) projections, and are consistent with global climate model simulations performed as part of the United Kingdom’s Climate Projections of 2018 (UKCP18).\r\n\r\nThe projections created in this project are designed to provide a new and complementary evidence base to inform the fourth UK Climate Change Risk Assessment (CCRA4) and other climate change studies. While they use updated modelling systems and techniques, and represent a much larger dataset, the projections are structurally the same. These projections include Sea Surface, Near Bed, and the Difference between the surface and bed Temperature and Salinity (SST, NBT, DFT, SSS, NBS, DFS), Potential Energy Anomaly (PEA), Mixed Layer Depth (MLD), the barotropic currents (their U and V components (DMU, DMV), as well as their magnitude, DMUV).", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40017/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195479/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195480/?format=api" ] }, { "ob_id": 40124, "uuid": "d40144aa6d0e4a448cd9ffe7d3171976", "title": "UK Climate Resilience Programme - Addressing the resilience needs of the UK health sector: climate service pilots", "abstract": "This project is part of the The UK Climate Resilience Programme - a four-year Strategic Priorities Fund (SPF) interdisciplinary research programme led jointly by UK Research and Innovation (UKRI) and the Met Office.\r\n\r\nThe aim of this project is to develop new datasets of regional mortality attributed to non-optimal temperatures based on the new HadUK-Grid dataset. These datasets and statistical models have been supplied to the Met Office and are available through the MEDMI portal. Combining up-to-date mortality, hospital admissions and meteorological data have produced the best, current estimate of how climate variability has affected mortality in the past. This data can be used by many other projects and end-users to anticipate the impact of climate variability on the health and social care sectors.\r\n\r\nThe same statistical models have been applied to the UKCP18 climate projections for the UK. The datasets produced from this analysis, including alternative versions which explore the impact of uncertainty on future projections, are also available from the Met Office to help prepared end-users in the health and social care sectors to adapt to climate change. A key from this analysis is that temperature related mortality in the UK is strongly linked to changes in global mean temperature. When global mean warming exceeds two degrees above pre-industrial temperatures, the number of deaths due to hot weather accelerates rapidly without significant adaptation.\r\n\r\nA greater understanding of the link between recurrent, typical weather patterns in the North Atlantic and the UK and mortality was developed. This approach could allow new application of longer range forecasts for the health sector to be developed.", "keywords": "temperature, climate resilience, mortality, hospital admission, global warming", "status": "ongoing", "publicationState": "working", "identifier_set": [], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/40329/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195495/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195884/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195882/?format=api" ] }, { "ob_id": 40157, "uuid": "484d11af7a46479c848085b11cb3b2e8", "title": "wendy's project", "abstract": "sdkh;ihg;oiehrg", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195819/?format=api" ] }, { "ob_id": 40265, "uuid": "9c84439f1bb44192821b0a64aa63b208", "title": "Quantification of Utility of Atmospheric Network Technologies: (QUANT)", "abstract": "Low-cost air pollution sensors have a potentially vital role to play in tackling air pollution in the UK, and globally. The high time resolution and ability to create dense networks of these devices offers a paradigm shift in the way we measure key pollutants, evaluate health impacts of air pollution exposure and assess potential solutions. The QUANT project is assessing and enabling the use of low-cost sensors for UK clean air challenges. This is being achieved through the delivery of a real-world open and traceable assessment of commercial low-cost sensor devices, in a range of UK urban environments, and the development of novel data methods that enhance the information provided by these devices. QUANT is generating new data, using existing and developmental sensor technologies, and novel data methods in order to provide air pollution source information, and is also using data from existing UK sensor networks to demonstrate the retrieval of information currently not accessible to UK air pollution networks. This work has been supported by grants: NE/T00195X/1, NE/T001879/1, NE/T001860/1, NE/T001968/1, NE/T001801/1.", "keywords": "York, Manchester, London, maqs, laqs", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/39559/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196242/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196243/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196250/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196251/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196241/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196252/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196256/?format=api" ] }, { "ob_id": 40329, "uuid": "b6cf80b4a6f842fe97ca87c8b0f91923", "title": "SPF UK Climate Resilience Programme", "abstract": "The UK Climate Resilience Programme was a four-year Strategic Priorities Fund (SPF) interdisciplinary research programme led jointly by UK Research and Innovation (UKRI) and the Met Office,\r\n\r\nThrough its funded projects, the programme sought to quantify UK climate risk and build resilience, producing usable outputs to directly support decision-making.", "keywords": "SPF, resilience", "status": "", "publicationState": "", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/40124/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196580/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196581/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196583/?format=api" ] }, { "ob_id": 40337, "uuid": "3da9f666e3ea4bb3af9cca064f05d3af", "title": "ForestScan Project: a unique multiscale dataset of tropical forest structure across 3 continents including terrestrial, UAV and airborne LiDAR and in-situ forest census data", "abstract": "The ForestScan project was conceived to evaluate new technologies for characterizing forest structure and biomass at Forest Biomass Reference Measurement Sites (FBRMS). It is closely aligned with other international initiatives, particularly the Committee on Earth Observation Satellites (CEOS) Working Group on Calibration & Validation (WGCV) AGB cal/val protocols, and is part of GEO-TREES, an international consortium dedicated to establishing a global network of Forest Biomass Reference Measurement Sites (FBRMS) to support EO and encourage investment in relevant field-based observations and science. ForestScan is the first demonstration of what can be achieved more broadly under GEO-TREES, which would significantly expand and enhance the use of E-derived AGB estimates.\r\n\r\nWe present data from the ForestScan project, a unique multiscale dataset of tropical forest 3D structural measurements, including terrestrial laser scanning (TLS), unpiloted aerial vehicle LiDAR scanning (UAV-LS), airborne LiDAR scanning (ALS), and in-situ tree census and ancillary data. These data are critical for the calibration and validation of earth observation (EO) estimates of forest biomass, as well as providing broader insights into tropical forest structure.\r\n\r\nData are presented for three FBRMS: FBRMS-01: Paracou, French Guiana; FBRMS-02: Lopé, Gabon; and FBRMS-03: Kabili-Sepilok, Malaysia. Field data for each site include new 3D LiDAR measurements combined with plot tree census and ancillary data, at a multi-hectare scale. Not all data types were collected at all sites, reflecting the practical challenges of field data collection. We also provide detailed data collection protocols and recommendations for TLS, UAV-LS, and plot census measurements for each site, along with requirements for ancillary data to enable integration with ALS data (where possible) and upscaling to EO estimates. We outline the requirements and challenges for field data collection for each data type and discuss the practical considerations for establishing new FBRMS or upgrading existing sites to FBRMS standard, including insights into the associated costs and benefits.\r\n\r\nThe ForestScan Project was funded under ESA contract: 4000126857/20/NL/AI", "keywords": "ForestScan project, GEO-TREES, BIOMASS mission, European Space Agency (ESA), Earth Observation (EO) calibration/validation, Terrestrial LiDAR Scanning (TLS), Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS), Aerial LiDAR Scanning (ALS), Digital twins, Above Ground Biomass (AGB) estimates", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40623/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197656/?format=api" ] }, { "ob_id": 40348, "uuid": "d3181552932446dcbd9846789d7c5c35", "title": "Multiscale 3D Scanning with Framerate for TV and Immersive Applications", "abstract": "To tell a truly immersive story captured real world content must be compelling, accurate and believable. It must also be spatial and digitally manipulable. Existing techniques to capture live action in 3D over time are prohibitively expensive and limited in range to human scale events. 3D scanning techniques and the resultant 'pointclouds' created are uniquely positioned to fulfil these needs, capturing photoreal content in a spatial manner across scales. ScanLAB are a pioneering creative technology practice and global leaders in pointcloud visualisation for offline and realtime rendered static content (i.e. data without a framerate). This project will enable ScanLAB to create a fundamentally new tool set to capture and render pointcloud data with a framerate at multiple scales.", "keywords": "", "status": "completed", "publicationState": "", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40060/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196641/?format=api" ] }, { "ob_id": 40350, "uuid": "13bd01ace9e649bd8702fd16dcccab3b", "title": "Indoor Air Study - Phase II: Volatile Organic Compounds (VOC) concentrations", "abstract": "Project record for the Indoor Air Study - Phase II: Volatile Organic Compounds (VOC) concentrations. This project aimed to evaluate the effects of using a commercial diffuser indoors in homes in Ashford, UK. Data collected was used to understand better how the use of a plug-in diffuser increases population exposure to indoor VOCs.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196657/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196658/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196659/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196660/?format=api" ] }, { "ob_id": 40657, "uuid": "72d29e13bd824c2ca7af5fcdb6e9d7c0", "title": "SERMON FAAM Aircraft Project", "abstract": "The SERMON project utilised the FAAM aircraft. Further details to follow.", "keywords": " SERMON, FAAM, Met Office", "status": "completed", "publicationState": "working", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12684/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40660/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197847/?format=api" ] }, { "ob_id": 40992, "uuid": "efbb5cb1aef14504a0432cfe9b4e3d58", "title": "ESA Vegetation Parameters Climate Change Initiative Project", "abstract": "The European Space Agency Vegetation Parameters Climate Change Initiative (Vegetation_Parameters_cci) project is part of the ESA Climate Change Initiative (CCI) programme, which aims to produce datasets of Essential Climate Variables (ECV's) from satellite datasets.", "keywords": "ESA, CCI, Vegetation", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199469/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199470/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199472/?format=api" ] }, { "ob_id": 40998, "uuid": "90005ba50a184d8c923e979687bb6f71", "title": "Introducing Machine learning Into Targeted Analysis for Terrestrial Ecosystems (IMITATE)", "abstract": "", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199535/?format=api" ] }, { "ob_id": 41074, "uuid": "e23473653bb747eda0ba521b3c430ae4", "title": "Stratified turbulence and mixing processes", "abstract": "", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199804/?format=api" ] }, { "ob_id": 41075, "uuid": "fbbcb404bc914d8fbbf119bf6255b093", "title": "How does stably-stratified shear-driven turbulence mix our oceans and estuaries?", "abstract": "", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199805/?format=api" ] }, { "ob_id": 41092, "uuid": "13157eccea124125a2a0497836a5c3db", "title": "MEWS FAAM Aircraft Project", "abstract": "The MEWS project utilised the FAAM aircraft. Further details to follow.", "keywords": " MEWS, FAAM, Met Office", "status": "completed", "publicationState": "working", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12745/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41095/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199873/?format=api" ] }, { "ob_id": 41107, "uuid": "727dea0ecf0f4d6ca0bf6459c37671bb", "title": "ESA RECCAP-2 Climate Change Initiative (RECCAP2_cci)", "abstract": "The REgional Carbon Cycle Assessment and Processes Phase 2 (RECCAP-2) project is coordinated by the Global Carbon Project and has the following objectives:\r\n1.) To improve quantification of anthropogenic greenhouse gas emissions and their sources;\r\n2.) To develop robust observation-based estimates of changes in carbon storage and greenhouse gas emissions and sinks by the oceans and terrestrial ecosystems, distinguishing whenever possible anthropogenic versus natural fluxes and their driving processes;\r\n3.) To gain science-based evidence of the response of marine and terrestrial regional greenhouse gas budgets to climate change and direct anthropogenic drivers.", "keywords": "ESA, CCI, RECCAP-2", "status": "ongoing", "publicationState": "working", "identifier_set": [], "observationCollection": [], "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/199935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199937/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199938/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199939/?format=api" ] }, { "ob_id": 41159, "uuid": "e7fb4efd19774121bcd1965a66caf957", "title": "PTECE FAAM Aircraft Project", "abstract": "The PTECE project utilised the FAAM aircraft. Further details to follow.", "keywords": " PTECE , FAAM, Met Office", "status": "completed", "publicationState": "working", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12767/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41163/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200168/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200169/?format=api" ] }, { "ob_id": 41265, "uuid": "b84b5f1e0dc14301965f297d277c0135", "title": "Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction", "abstract": "Arctic cyclones are the dominant type of hazardous weather system affecting the Arctic environment in summer. They can also have critical impacts on sea-ice movement, sometimes resulting in ‘Very Rapid Ice Loss Events’ which present a major challenge to coupled forecasts of the Arctic environment from days out to a season ahead. As a result of global warming, sea ice is becoming thinner across large areas of the Arctic Ocean in summer. This means that winds can move it more easily and in turn the dynamic sea ice distribution is expected to feedback on the developing weather systems.\r\n\r\nThis project will fly two research aircraft into Arctic cyclones developing over the marginal ice zone at the edge of the Arctic Ocean basin. It will measure the turbulent exchange fluxes, flying low above the interface between atmosphere and ice, at the same time as measuring the wind and cloud structure of the cyclones above and the properties of the ice below. Combining the observations with numerical modelling experiments using the latest weather prediction models, the project aims to deduce the dominant physical processes acting and test theoretical mechanisms for two-way interaction between the Arctic cyclones and sea ice.\r\n\r\nThis project and the UK component of the field experiment are funded by the Natural Environment Research Council (NERC) NE/T006773/1, NE/T006811/1 and NE/T00682X/1. They will joined by teams from the USA and France, funded by the Office of Naval Research (USA).", "keywords": "MASIN, Arctic, cyclone", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41339/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200856/?format=api" ] }, { "ob_id": 41382, "uuid": "d7903fba3482476f85dc50cdc08cf99f", "title": "https://catalogue.ceda.ac.uk/uuid/65b50d3348cb4745bb7acfcf6f2057b8", "abstract": "", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201426/?format=api" ] }, { "ob_id": 41422, "uuid": "3c030228dab647acb95d9f5bea7879cf", "title": "Met Office Wind-Driven Rain (WDR)", "abstract": "The Climate Change Risk Assessment 3 (CCRA3) identified several different climate hazards that can damage building fabric. The integrity of buildings is affected by moisture ingress, which can cause mould, materials decay and frost damage. In extreme cases, excess moisture accumulation within the building fabric can lead to mechanical failure of the structure. Wind-driven rain (WDR) is the primary source of moisture load for walls. This risk requires further investigation.\r\n\r\nISO 15927-3:2009 specifies two procedures for estimating the quantity of water likely to impact on a wall of any given orientation. This information was based on an older standard (BS 8104:1992) which in turn used rainfall annual exposure maps published in 1976. It is believed these maps were created using data from a small number of weather stations. This information therefore requires updating.\r\n\r\nWind-driven rain can be quantified using a metric I from ISO 15927-3:2009 which has units of volume per unit area and time (here, litres m-2 s-1). This metric was calculated on hourly timescales and is a function of rainfall amount, wind speed, wind direction and wall orientation. Larger values of the metric imply more wind-driven rain striking a wall. The equation which will be used to calculate I yields the amount of WDR passing through a vertical surface in an undisturbed air stream. It does not take into account of any effects of local topography or the building itself on the air flow and hence the amount of water striking a surface.\r\n\r\nThe UKCP18 climate projections include an ensemble of 12 simulations executed at a resolution of 2.2 km, referred to as UKCP Local. These data have been aggregated to a 5 km grid on the OS National grid; the 5 km data were used for this project. Hourly rainfall totals, wind speeds and wind directions are available from UKCP18 Local.", "keywords": "wind-driven rain, Met Office, UKCP18, DESNZ", "status": "pending", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201918/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201919/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201920/?format=api" ] }, { "ob_id": 41435, "uuid": "9550e4ab351a46689bce9093089f0828", "title": "Robust Projections of Real-World Climate Change", "abstract": "Climate change is one of the leading global challenges facing society and the planet. Predicting how the climate will change as human activities lead to emission of more greenhouse gases is a global scientific challenge for climate scientists. We use models of the climate to make predictions. Because of limitations in computing power, and because of gaps in our understanding of the climate, these models are not perfect. Predictions from the models are, therefore, also not perfect. We are faced by the huge challenge of extracting robust information from climate models about how real-world climate will change in the future under specified scenarios of different greenhouse gas emissions. Such projections are central to leading climate change assessments, such as those produced by the Intergovernmental Panel on Climate Change (IPCC). This project will provide a step-change in the ability of climate scientists to produce robust projections of climate change and to quantify the uncertainties in projections. A new framework will be developed that combines information from models, observations and our basic understanding of climate with modern statistical techniques to produce projections. This new framework will be applied to three important climate regimes of Earth: tropical and subtropical temperature and precipitation change; middle-latitude cyclones and anti-cyclones; and polar temperature and sea-ice changes. We will bring together leading UK scientists (many are IPCC authors) from the Universities of Exeter, Reading, Oxford and East Anglia, and the Met Office, to address this grand challenge in climate science. We aim to precipitate a cultural shift that unifies diverse approaches from techniques to understand climate process and statistical methods and consolidate the UKs position as a world-leading centre for climate projection science.\r\nThe NERC grants linked to this project are: NE/N018486/1 and NE/N018591/1", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201993/?format=api" ] }, { "ob_id": 41469, "uuid": "1cddb86e4c714ff1ac71a89fcad45dfa", "title": "The Kalimantan Lestari (KaLi) project", "abstract": "Indonesia's Central Kalimantan province on the island of Borneo is home to extensive peatlands. In dry years such as 2015, peat fires burn for months with huge impacts: Exposure to smoke during this period is expected to cause 100,000 premature deaths, caused major economic disruption with a cost of $16.1Bn to the Indonesian economy and, for three months, emitted more carbon than the entire EU. Indonesia's peatland fires were described as 2015's 'worst environmental disaster' (Guardian, 2015) with Central Kalimantan at the epicentre. The majority of fires in this region are started deliberately, primarily to clear forest for small or large-scale agriculture (satellite data indicates that there were close to 40,000 fire hot spots in C. Kalimantan peatlands in 2015), but their frequency, duration and severity are strongly climate linked and facilitated by El Nino droughts, which may become more frequent under global warming. In their intact natural waterlogged, forested state these peatlands rarely burn, therefore fires are concentrated in the (extensive) areas that have dried to some degree due to deforestation and drainage for agriculture and timber extraction. Here, smouldering fires burn down into the underlying peat, can burn for months and are the primary cause of near annual air pollution events affecting SE Asia, which were particularly severe during 2015. Thus the drivers behind the peatland fires are a combination of climatic processes, a legacy of historic land use impacts that ensure a high fuel load, and human activities that provide ignition sources. The resulting huge impacts are, therefore, to a large extent preventable but effective action requires a more detailed understanding of future climate-associated risk, biophysical and socio-economic conditions and human behaviours. \r\n\r\nThis multidisciplinary project has three core aims: \r\n\r\n1) To better understand the drivers behind the multiple drought- and fire-associated hazards and their spatial distribution in the peatlands of Central Kalimantan Province, Indonesian Borneo\r\n\r\n2) To characterise the multiple, cumulative impacts of drought and the biophysical and human behavioural chains leading to them, and identify the population groups/communities most vulnerable to these hazards. \r\n\r\n3) Combining information from 1 and 2, identify priority actions and policies for work to reduce the risk of fire and identify the socio-cultural, agro-ecological, physical and economic hurdles to achieving positive outcomes from their implementation within the context of sustainable development that leads to better environmental and socio-economic circumstances for all. \r\n\r\nThe ultimate aim of this project is to build long term resilience to the multiple hazards associated with drought and fire in Central Kalimantan's peatlands by developing the knowledge, tools and capacity to reduce the current co-drivers (e.g. human land uses) and also to plan ahead for when circumstances (climate, land use) change in the future.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202138/?format=api" ] }, { "ob_id": 41476, "uuid": "a35bdd6fff1544e8826f5356960af09e", "title": "Quantitative Attribution of Secondary Organic Aerosol in Beijing to its Precursors", "abstract": "Breathing particles in polluted air leads to the worsening of many health conditions and ultimately to premature death. The atmosphere of Beijing is well known for its very high concentrations of airborne particles and there is an urgent need for further control measures. A large proportion of those particles (referred to as \"haze\") are not emitted directly into the atmosphere but form within the atmosphere from chemical reactions of gases and vapours. This project is concerned with finding out which gases and vapours emitted into the atmosphere from road traffic, fuel burning, refuse incineration and many other sources are responsible for the formation of particles within the atmosphere of Beijing and the amount which they contribute to the concentration of particles. The scientific approach is to fill a reaction chamber with the vapours of a single chemical compound and let them undergo chemical reactions which lead to particle formation. The particles formed are then subject to very detailed chemical analysis and constituent molecules are identified which are characteristic of the compounds originally put into the chamber. Then, by making measurements of the same compound in the atmosphere, it is possible to estimate how much of the particles arise from the reaction of a particular gas. Control policies can then be formulated to reduce the emissions of those gases most responsible for particle formation. NERC ref NE/S006699/1.", "keywords": "Beijing, pollutant,APHH", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/24817/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/24808/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202148/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202149/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202145/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202146/?format=api" ] }, { "ob_id": 41514, "uuid": "215af4b50e78460faf0b55173b44ec8f", "title": "Airborne Measurements of Charged Cloud and Aerosol (AMCCA)", "abstract": "The Airborne Measurements of Charged Cloud and Aerosol (AMCCA) project will use the FAAM BAe-146 aircraft to make measurements of electric charge at stratiform cloud and dust aerosol layer edges, in conjunction radiosonde measurements of electric charge released from the University of Reading Atmospheric Observatory. \r\n\r\nThis project will investigate how the natural electric fields always present in the atmosphere affect cloud and aerosol processes. These include the increased sticking probability of colliding droplets which are charged, an additional electrical uplift force reducing the rate of dust deposition, and enhanced removal of charged dust and aerosol by water droplets. Such effects are known to occur in and around stratiform cloud and above and within atmospheric dust layers.\r\n\r\nThese flights will allow us to identify which in-cloud processes are affected by electric charge, and how dust size distributions relate to charge, which has never been quantified experimentally before.\r\n\r\nAMCCA is a FAAM Research Runway project.", "keywords": "AMCCA, FAAM, Met Office", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12835/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41517/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202380/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202383/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203191/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202382/?format=api" ] }, { "ob_id": 41526, "uuid": "53b564727ccd40bfa0751815bfe4628c", "title": "ENVISION doctoral training partnership", "abstract": "Doctoral Training Partnerships: a range of postgraduate training is funded by the Research Councils. For information on current funding routes, see the common terminology at https://www.ukri.org/apply-for-funding/how-we-fund-studentships/. Training grants may be to one organisation or to a consortia of research organisations.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12840/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202352/?format=api" ] }, { "ob_id": 41534, "uuid": "2d8227dc429449e4887100bbf7513b8b", "title": "Deplete and Retreat", "abstract": "This study is part of the Natural Environment Research Council (NERC) highlight topic grant ‘Deplete and Retreat: the future of Andean Water Towers’ (NE/X004031/1).", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12846/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202392/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202393/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202394/?format=api" ] }, { "ob_id": 41536, "uuid": "b63b07ce2d60490c94b583c09bcbe0cb", "title": "DeepMIP: The Deep-Time Model Intercomparison Project", "abstract": "DeepMIP is an international effort to improve our understanding of Deep Time climates by conceiving, designing, carrying out, analysing, and disseminating coordinated model simulations and data syntheses. DeepMIP is part of the Paleoclimate Modelling Intercomparison Project (PMIP), which itself is affiliated to CMIP6. More information is available at https://www.deepmip.org.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12847/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202417/?format=api" ] }, { "ob_id": 41537, "uuid": "dbba9cfe8d104648b19e39f4c2da1a27", "title": "ESA River Discharge Climate Change Initiative (RD_cci)", "abstract": "The ESA river discharge Climate Change Initiative project aims to derive long term climate data records (at least over 20-years) of river discharge for some selected river basins (and some locations in the river network) using satellite remote sensing observations (altimetry and multispectral images) and ancillary data.", "keywords": "Satellite, River, River Basin, Fresh Water River Discharge, Inland Water, Seasonal Variation, Remote Sensing", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "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/202433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202435/?format=api" ] }, { "ob_id": 41548, "uuid": "4aee7be9a7aa43c7b29762fec72e3265", "title": "VISION - Virtual Integration of Satellite and In-situ Observation Networks", "abstract": "This project will deliver a toolkit and novel visualisations that will allow for better integration of models and observations to enhance our confidence in future climate projections. It will also develop a digital twin to improve the operational flights of the FAAM Airborne Laboratory atmospheric research aircraft.\r\n\r\nThe aim is to improve the flight plans to better match the scientific aims and also to reduce the number of flights necessary to achieve those aims.\r\n\r\nIt will bring together a team of atmospheric modellers, scientists, software engineers and satellite experts to deliver a novel framework to reduce the carbon footprint of the UK research aircraft.\r\n\r\nThis project is funded by the Natural Environment Research Council (NERC), in partnership with the Met Office, as part of the Twinning Capability for the Natural Environment (TWINE) programme. \tNE/Z503393/1", "keywords": "VISION, Digital twin, \tNE/Z503393/1", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202891/?format=api" ] }, { "ob_id": 41577, "uuid": "8ec3eebe683f473ca81404dc11cd7bb8", "title": "CS-N0W (Climate Services for a Net Zero Resilient World)", "abstract": "The CS-N0W project (Climate services for a Net Zero resilient world - GOV.UK (www.gov.uk)) was commissioned by the UK Department for Energy Security and Net Zero (DESNZ). CS-N0W aims to enhance the scientific understanding of climate impacts, decarbonisation and climate action, and improve accessibility to UK climate data. It will contribute to evidence-based climate policy both in the UK and internationally, and strengthen the climate resilience of UK infrastructure, housing and communities.\r\n\r\nThe project will run for 4 years, from 2021 to 2025.", "keywords": "Net Zero, climate impact, decarbonisation, CS-NOW, CS-N0W", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206220/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202654/?format=api" ] }, { "ob_id": 41590, "uuid": "f690b4e6c26d42729a2bef52e184c1ef", "title": "Numerical Weather Prediction data for the Met Office NAME dispersion model", "abstract": "Numerical Weather Prediction (NWP) meteorological data produced by the Met Office Unified Model. The data have been processed into a form suitable for use in the Met Office NAME (Numerical Atmospheric-dispersion Modelling Environment) dispersion model, although may also be of wider use to the academic community as a source of gridded NWP met data.", "keywords": "NAME, NWP, atmospheric dispersion, Numerical Weather Prediction", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41597/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202695/?format=api" ] }, { "ob_id": 41618, "uuid": "5131f7491ddb4b9793047b8793e32eee", "title": "A global climatology of sting-jet cyclones", "abstract": "The aim of this project is to generate the first global climatology of sting-jets in intense mid-latitude cyclones. Current climatologies are restricted to the North Atlantic-European region and yet there are no physical reasons why sting jets should not exist in other regions. This climatology will reveal the presence and frequency of sting jets over the southern hemisphere, North Pacific, and North Atlantic oceans, extending into continental Europe.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12862/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202868/?format=api" ] }, { "ob_id": 41636, "uuid": "0b29cfe8f7194c1280876abf2474b8bf", "title": "Open CLimate IMpacts modelling framework (OpenCLIM)", "abstract": "OpenCLIM, the Open Climate Impacts Modelling framework, is an integrated assessment framework that brings together models to explore potential future impacts of climate change and selected potential adaptation options. Covering hazards such as heat, drought and flooding, and sectors such as biodiversity and agriculture, the framework allows a consistent cross-sectoral approach to exploring adaptation options. Using UKCP18 and down-scaled SSP (Shared Socio-economic Pathways) both future climate and population growth are considered in the analysis. Where possible as well as data outputs and models, much of the framework is open, with it developed and deployed on the DAFNI platform.", "keywords": "OpenCLIM, hazards, heat, drought, flooding, UKCP18", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202912/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202913/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202914/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202916/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202915/?format=api" ] }, { "ob_id": 41663, "uuid": "0c92aaa948fc4cb7a66b641bb587f48e", "title": "NE/L002574/ NERC Funded PhD by Michael Grimes at Uni of Leeds", "abstract": "This work was conducted as part of a NERC funded PhD project at the University of Leeds (Grant NE/L002574/1)", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12875/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203024/?format=api" ] }, { "ob_id": 41671, "uuid": "e36a074b486c4079a17d83b5d106fa05", "title": "https://catalogue.ceda.ac.uk/uuid/0b29cfe8f7194c1280876abf2474b8bf", "abstract": "", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203060/?format=api" ] }, { "ob_id": 41675, "uuid": "f735448787f54f5b874689736dc6fe45", "title": "Drivers of the successful 2022 European summer seasonal ECMWF forecast", "abstract": "The 2022 European summer season was marked by extremely high temperatures over southern and western areas of Europe resulting in severe wildfires, heat-related deaths and general disruption to western European societies. The associated circulation patterns were relatively well captured by the European Centre for Medium-Range Weather Forecasts (ECMWF) seasonal forecast system 5, in spite of generally low skill in the summer. This project performed a case study of this seasonal forecast to examine the drivers and windows of forecast opportunity.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203084/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203086/?format=api" ] }, { "ob_id": 41680, "uuid": "d339aef874594e5e9cd22161e9efb9a1", "title": "Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M)", "abstract": "The Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project utilised the FAAM aircraft. The project aims to reduce uncertainty associated with the representation of cirrus and ice cloud radiative properties with anticipated benefits from NWP through to climate timescales. Central to achieving these goals is the collection and analysis of a novel ground and airborne observational dataset, combining both active (radar, lidar) and passive radiative measurements of ice clouds from across the electromagnetic spectrum with comprehensive up-to-date in-situ cloud microphysics observations over the full range of particle sizes", "keywords": "CCREST-M, FAAM, Met Office", "status": "completed", "publicationState": "working", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12917/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41683/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203189/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203190/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203104/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203105/?format=api" ] }, { "ob_id": 41758, "uuid": "a5168846f94948b5a279df6034e6c0cc", "title": "WCRP CMIP6Plus: Coupled Model Intercomparison Project Phase 6 Plus", "abstract": "The WCRP Coupled Model Intercomparison Project, Phase 6 Plus (CMIP6Plus), is 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).\n\nThe CMIP6Plus archive is managed via the Earth System Grid Federation, a globally distributed archive, with various portals delivering advanced faceted search capabilities provided from a number of participating organisations. Full details are available from the CMIP6Plus pages (see linked documentation on this record).\n\nCEDA provides access to key CMIP6Plus simulations including those generated by the UK CMIP6Plus collaboration between the Met Office and NERC. Replicas of international data sets are provided to aid local access and use.", "keywords": "MIP, CMIP, CMIP6Plus, WCRP, climate change, IPCC, climate, model, simulation, multi-model", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41759/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203434/?format=api" ] }, { "ob_id": 41759, "uuid": "5f121e121891429a9fd1305225b78046", "title": "WCRP CMIP6Plus: Met Office Hadley Centre (MOHC) contribution", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 Plus contribution to the project by the Met Office Hadley Centre (MOHC) team.", "keywords": "WCRP, CMIP, CMIP6Plus, MOHC", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/41758/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203439/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203438/?format=api" ] }, { "ob_id": 42342, "uuid": "d49ce24b247e4e619dd6da14a1d79375", "title": "NCAS Long Term Measurements", "abstract": "The Natural Environment Research Council's (NERC) National Centre for Atmospheric Science (NCAS) undertake a number of long term measurements by a suite of instruments to support ongoing atmospheric research at a variety of locations. These include a long-term observation mode of instruments from the NCAS Atmospheric Measurement and Observation Facility (AMOF) when not deployed on specific field campaign duties for other projects.", "keywords": "", "status": "ongoing", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204121/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204122/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204123/?format=api" ] }, { "ob_id": 42474, "uuid": "b0458da212de4f95840a232dab681f80", "title": "cope", "abstract": "cope. More details needed.", "keywords": "", "status": "", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204132/?format=api" ] }, { "ob_id": 42575, "uuid": "f3fe238d2d4b4f6d9577db9aafb4ad52", "title": "Perdigão Double Hill Experiment", "abstract": "The Perdigão Double Hill Experiment ran between 15th December 2016 and 15th June 2017.\r\n\r\nProject description from project web page (see documentation link for full description):\r\n\r\nAtmospheric flow in complex terrain has received increased attention in recent years because of its numerous applications, including air pollution, contaminant dispersion, aviation, Alpine warfare and wind energy harvesting. While past research has mainly focused on and improved upon weather prediction at the mesoscale (resolution on the order of km), wind energy and dispersion applications demand improved accuracy of predictions at the microscale (tens to hundreds of meters). To this end, ERANET+, a European Union (EU) funding instrument, has granted a consortium of EU scientists a megaproject to provide the wind energy sector with more detailed wind resource mapping capabilities. This is to be accomplished through the creation and publication of a New European Wind Atlas (NEWA) based on the development of improved models for wind energy physics and forecasting.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13137/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210898/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210899/?format=api" ] }, { "ob_id": 42675, "uuid": "0db8806517aa4df7a7b3eef9261d334f", "title": "Microbiology-Ocean-Cloud-Coupling in the High Arctic (MOCCHA)", "abstract": "Microbiology-Ocean-Cloud-Coupling in the High Arctic (MOCCHA). More details needed.", "keywords": "", "status": "", "publicationState": "preview", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13138/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204137/?format=api" ] }, { "ob_id": 43010, "uuid": "a2fe61d9744c4c83a00ac85b09bae0ee", "title": "Quantification of Utility of Atmospheric Network Technologies (QUANT)", "abstract": "", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13139/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204360/?format=api" ] }, { "ob_id": 43091, "uuid": "dd58a4ee01034315b2c3e21e30c633d0", "title": "Modelling output from the SMB-Gen project: Constraining projections of ice sheet instabilities and future sea level rise", "abstract": "This collection of data is an archive of the key model output from the UKRI Future Leaders Fellowship project \"SMB-Gen Constraining projections of Ice Sheet instabilities and future sea level rise\". The project aim is to constrain future projections of ice sheet instabilities using information from the geological past through the development of novel Bayesian uncertainty quantification tools and their application to modelling past, present and future ice sheet changes using complex coupled climate-ice sheet modelling. This collection of data contains inputs and output from coupled climate-ice sheet simulations of the Quaternary run with the FAMOUS-ice model in which Northern Hemisphere ice sheets are interactively simulated with either the low complexity Glimmer ice sheet model or the more complex BISICLES marine ice sheet model.", "keywords": "ice sheets, Ensemble, Uncertainty Quantification, FAMOUS-Ice, Glimmer", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204616/?format=api" ] }, { "ob_id": 43141, "uuid": "3ac97324b045487ba62972e9a73b6889", "title": "The impact of the physical environment on the foraging energetics of shearwaters and the consequence", "abstract": "", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13171/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204833/?format=api" ] }, { "ob_id": 43168, "uuid": "90edc6e6dcd4485fb310894b098182c5", "title": "NERC BLEACH Project", "abstract": "The project aims to measure and simulate reactive halogens in the atmosphere during summer and winter. These halogens significantly impact the atmosphere's oxidative capacity. However, ambient observations are limited, and only recently have global models included this chemistry. BLEACH will track both gas and aerosol phase of key gaseous bromine, chlorine, and iodine species, to refine the halogen mechanism in GEOS-Chem.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13180/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205119/?format=api" ] }, { "ob_id": 43173, "uuid": "2e59adaafac94c49a943a0cdc8c95fc3", "title": "BATS FAAM Aircraft Project", "abstract": "The BATS project utilised the FAAM aircraft. Further details to follow.", "keywords": " BATS, FAAM, Met Office", "status": "completed", "publicationState": "working", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205125/?format=api" ] }, { "ob_id": 43198, "uuid": "4471ffab629c4e89925eda7d547e5ed5", "title": "Birmingham Urban Observatory", "abstract": "This dataset contains air quality data (PM2.5 concentrations) from a series of low-cost sensors deployed by Birmingham Urban Observatory & West Midlands Air.\r\n\r\nThese sensors record PM2.5 in ugm-3. \r\n\r\nformat: Data are CSV formatted", "keywords": "", "status": "pending", "publicationState": "preview", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205458/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205462/?format=api" ] }, { "ob_id": 43216, "uuid": "8bffaba46c4a4b8c82e4be2c91c637b9", "title": "Earth Observation Climate Information Service (EOCIS)", "abstract": "The UK Earth Observation Climate Information Service exploits the observations available from environmental sensors orbiting in space to create climate data records and climate information. EOCIS was announced by the government in November 2022, and formally launched in March 2023. It is funded currently until March 2025. \r\n\r\nEOCIS is a collaboration led by the National Centre for Earth Observation, and involving over a dozen research organisations. EOCIS addresses 12 categories of global and regional essential climate variables, which are the following:\r\n- Sea surface temperature\r\n- Ocean reflectance\r\n- Fire occurrence and emissions\r\n- Aerosol and particulate\r\n- Cloud-aerosol-radiation\r\n- Methane\r\n- Land surface temperature\r\n- Water vapour, ozone\r\n- Arctic: ice sheet mass and sea ice\r\n- Eurasia: surface methane\r\n- Africa: soil water balance\r\n- Antarctic: ice sheet mass and ice velocity\r\n\r\nEOCIS is also creating new climate data at high resolution for the UK specifically. This includes both rapid-response information for climate-linked events (fire early warning and urban flood mapping) and longer term climate data linked to human and ecosystem health and landscape greenhouse gas emissions.", "keywords": "EOCIS", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43285/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211614/?format=api" ] }, { "ob_id": 43220, "uuid": "d75ef1b2da38472f99c5fa8ec4767c95", "title": "Surface Fluxes In Antarctica (SURFEIT)", "abstract": "SURface FluxEs In AnTarctica (SURFEIT) is a BAS National Capability International research programme. Its primary aims are to bring together relevant members of the international scientific community and increase our understanding of how exchange of mass and energy between the surface of the Antarctic ice sheet and the atmosphere impacts sea level rise.\r\n\r\nFurther information is available here: https://surfeit.ac.uk/", "keywords": "NE/X009319/1", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13201/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205573/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205574/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205575/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205580/?format=api" ] }, { "ob_id": 43239, "uuid": "5c797650c2a94518ab1453798a54ad6c", "title": "REconstructing Cloud FIelds in 4D (RECFI-4D)", "abstract": "The REconstructing Cloud FIelds in 4D (RECFI-4D) project aims to produce new methods for reconstructing clouds fields from multi-view camera imagery.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13204/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205683/?format=api" ] }, { "ob_id": 43306, "uuid": "f35af774e6ef49df8aa28c1e3a78ccdf", "title": "NAHosMIP: North Atlantic Hosing Model Intercomparison Project", "abstract": "In NAHosMIP we designed and conducted a set of experiments to explore hysteresis and sensitivity to additional freshwater of the Atlantic Meridional Overturning Circulation (AMOC). These experiments include adding additional freshwater (hosing) for a fixed length of time to examine the rate and mechanisms of AMOC weakening and whether the AMOC subsequently recovers once hosing stops. The main aims of this project are to understand feedbacks contributing to AMOC collapse and recovery.", "keywords": "CMIP6, AMOC, Tipping, Hosing", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206158/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206159/?format=api" ] }, { "ob_id": 43309, "uuid": "4bd944d0744c468dafbcefeefed1bba5", "title": "NERC project: POLYGRAM (POLYisotopologues of GReenhouse gases: Analysis and Modelling)", "abstract": "POLYGRAM project was funded by the Natural Environment Research Council (NERC) with the grant number NE/V007149/1. POLYGRAM push the frontiers for CO2 and CH4 polyisotopologue measurement capability using the latest advances in laser spectroscopic analysis and high-resolution isotope ratio mass spectrometry. We establish a small global atmospheric sampling network to examine latitudinal and longitudinal variations in in polyisotopologues, to constrain overall global budgets of CO2 and CH4.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13208/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206172/?format=api" ] }, { "ob_id": 43371, "uuid": "b907d4284d654814998af289dca94c0c", "title": "Rainy Ottoman Days: Rescuing and Analysing Rainfall Data (1846-1917) in Istanbul, Türkiye", "abstract": "This project focuses on rescuing and digitizing historical monthly rainfall data in Istanbul from 1846 to 1917 for the first time. Rainfall records were collected by foreign scientists, engineers, and officials during the last century of the Ottoman Empire. Guidelines on Best Practices for Climate Data Rescue by the World Meteorological Organization were followed for rescuing the weather observations.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206390/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206391/?format=api" ] }, { "ob_id": 43373, "uuid": "ad0724481cfc4830ad6652d00c648388", "title": "Exploring the Toxicity of Secondary Organic Aerosol formed from Atmospheric Oxidation of Pesticides", "abstract": "", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13220/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206401/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206402/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206403/?format=api" ] }, { "ob_id": 43383, "uuid": "2d104d3918d046808ec181c98a65cdcd", "title": "test", "abstract": "test", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206425/?format=api" ] }, { "ob_id": 43398, "uuid": "880f64e6938642868a0cf2dd66dbc0e9", "title": "Shipping Emissions in the Arctic and North Atlantic atmosphere (SEANA)", "abstract": "SEANA aims to understand the sources of aerosol particles including the contribution from shipping and to determine the response of Arctic and North Atlantic aerosols to future shipping emissions. SEANA coordinated a research cruise, on RRS Discovery, to the west side of Greenland to measure both natural and anthropogenic particles and understanding aerosol processes. Measurements were also conducted at two stations adjacent to the Northwester Passage (Faroe Islands and Thule). These observations were used to update and improve a global aerosol model to better reproduce current \"baselines\". The updated model will be used to predict the impacts of future shipping on air quality, clouds and radiative forcing in the Arctic and North Atlantic Ocean.", "keywords": "SEANA, shipping, aerosol", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13222/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206553/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208416/?format=api" ] }, { "ob_id": 43402, "uuid": "2a8f43443fa9432c88cc84d9a34a75ae", "title": "Southern Ocean Clouds", "abstract": "See details at https://www.cranfield.ac.uk/research-projects/understanding-cloud-formation-in-antarctica", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13223/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206570/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206571/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206572/?format=api" ] }, { "ob_id": 43430, "uuid": "8fcf080dbe4e48f2848612a66bec40ad", "title": "AQREAN: UK Air Quality Reanalysis", "abstract": "The UK Air Quality Reanalysis (AQREAN) project combines an air quality forecast model with ground-based observations of pollutants to generate a long-term, consistent dataset of atmospheric composition across the UK and Republic of Ireland.\r\nData streams have been produced for the surface level as well as for the vertical extent of the model (surface to ~40km).\r\nThe AQREAN project was part of the UK Research and Innovation (UKRI) Strategic Priorities Fund (SPF) Clean Air Programme.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206735/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206736/?format=api" ] }, { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44069/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44087/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44218/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44784/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206818/?format=api" ] }, { "ob_id": 43463, "uuid": "d4dbf2ceee484775957612838e2cae48", "title": "Going vertical: Exploring the technical opportunities and socio-political dynamics of drones in forest conservation", "abstract": "Drones are an increasingly common tool in forest conservation, praised for their affordability, ease-of-use, and potential for community-based applications. One use warranting further exploration is their integration into community-scale carbon monitoring. Yet the introduction of drones into conservation spaces requires an interdisciplinary examination, as the use of drones can negatively impact forest communities and exacerbate already-uneven power dynamics. In addition, although drones are considered an accessible technology within technical literature, little is known on how this accessibility is experienced by different drone practitioners. \r\n\r\nDrawing upon literatures from ecology, political ecology, and science and technology studies, this thesis examines the implications of using drones in forest conservation, using the island of Borneo as a study site. First, I demonstrate a methodology for measuring aboveground carbon density using consumer-grade drones that could be adopted by community groups. This methodology produces results quicker and more cost-effectively than comparable field-based methods, whilst underlining the importance of data-processing capacities for potential users. Second, I use interviews with drone practitioners across Borneo to investigate the impacts of ‘going vertical’ on forest conservation. I show that whilst drones open what geographers call the vertical dimensions of space for new practices of data collection, regulation, and control, their implementation is still shaped by socio-political dynamics and biophysical materialities on the ground. Finally, I explore the mismatch between the accessibility of drones in theory and in practice in Borneo. I assert the importance of considering drones as part of data production systems, the subjectivity of accessibility, and how an overfocus on technical applications risks obscuring other valuable applications of drones for conservation purposes. I encourage drone practitioners and data users to take an interdisciplinary approach to drones, thereby acknowledging the limitations – as well as affordances – of drones in practice and avoiding the pitfalls of common narratives surrounding their use.", "keywords": "Drone, Carbon, Structure-from-Motion, Aboveground carbon, Forest", "status": "", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206932/?format=api" ] }, { "ob_id": 43468, "uuid": "fc957c260daf45d2b95e0089792e6ba5", "title": "Molecular Level Understanding of New Particle Formation in the Urban Atmosphere", "abstract": "Airborne particles are made up of tiny specks of solid matter or liquid droplets floating in the air, too small to be seen individually by the naked eye. Gaining a good understanding of these particles is important for a number of reasons including the following: - breathing high concentrations is bad for human health, having been associated with increased hospital admissions and reduced life expectancy. More deaths occur globally due to airborne particle exposure than from malaria and AIDS combined.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13233/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206946/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206948/?format=api" ] }, { "ob_id": 43578, "uuid": "53c51d204f474e96b6f040d004ff7a52", "title": "Investigating HALocarbon impacts on the global Environment - InHALE", "abstract": "InHALE is a research project funded by the Natural Environmental Research Council under the Highlight Topics, a route for funding strategic research. Since the mid-20th century, halocarbons - a group of chemicals used widely as refrigerants, foam blowing agents, solvents, and propellants - have had a major influence on the stratospheric ozone layer and climate. Observations of the abundance of these compounds in the atmosphere reveal complex trends driven by changes in their production and use, and by the landmark environmental treaty, the Montreal Protocol. Since the signing of the Montreal Protocol in 1987, growth rates of the regulated ozone depleting substances (ODSs), the chlorofluorocarbons (CFCs) and hydrochlorofluorocarbons (HCFCs), have declined substantially. However, concentrations of their replacements, the hydrofluorocarbons (HFCs), which are potent greenhouse gases (GHGs), are increasing rapidly. Therefore, in 2019, the Kigali Amendment to the MP came into force, aiming to limit future growth of HFCs and preserve the Montreal Protocol's impact on climate. Recent measurement and model studies, many of which were led by the InHALE team, have revealed that there remain substantial scientific challenges that must be addressed to ensure the continued success of the Montreal Protocol which are: Identifying unreported production; Finding missing emissions; Quantifying growth and impacts of unregulated ODSs; Detecting emerging halocarbons; Evaluating breakdown products with potentially harmful environmental impacts and Assessing climate impact.", "keywords": "Halocarbon, CFC, HCFC, HFC, ODS, VSLS", "status": "", "publicationState": "", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208061/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208062/?format=api" ] }, { "ob_id": 43609, "uuid": "f3eba22d26bd4a5aad91503a96d9478c", "title": "Microplastic entrainment, transport and fragmentation in atmospheric boundary-layer flows", "abstract": "The overall aim of this research is to understand the processes of microplastic entrainment and transport by wind and how these processes affect the material properties of microplastics. The knowledge gained will inform models for predicting land-atmosphere microplastic flux and distribution.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13250/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208318/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208319/?format=api" ] }, { "ob_id": 43619, "uuid": "56746739572d409f8f828c5b96eb210d", "title": "Radon measurements colocated with the UK greenhouse gas observation network", "abstract": "Radon (222Rn) has been measured at a number of monitoring stations across the UK greenhouse gas observation network. Radon is measured alongside greenhouse gases at the same or similar inlet heights. These measurements help us to better understand and evaluate transport model uncertainties associated with the estimation of regional greenhouse gas emissions.", "keywords": "", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27499/?format=api" ], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208752/?format=api" ] }, { "ob_id": 43637, "uuid": "3d37d6d2993b4c6ea667593e63537b83", "title": "Understanding tree architecture, form and function in the tropics", "abstract": "This project was funded by NERC under grant_number: NE/P011780/1. \r\n\r\nThe basic shape and branching structure of a tree can be distinctive and characteristic, yet there exists no consistent dataset quantifying how tree form varies across species and how it is related to other functional traits of a tree. Understanding the variation in structure and form of trees is important in order to link tree physiology to tree performance, scale fluxes of water and carbon within and among trees, and understand constraints on tree growth and mortality. These topics hold great importance in the field of ecosystem science, especially in light of current and future changes to climate. This project used 3D terrestrial laser scanning technologies (TLS) in combination with recently developed theoretical frameworks to measure and compare tree architecture.", "keywords": "Tree Architecture, Biomass, Tropics, Terestrial Laser scanning", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208829/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208830/?format=api" ] }, { "ob_id": 43657, "uuid": "077cf64b85754665a915bf5d1529d783", "title": "Bermuda boundary Layer Experiment of the Atmospheric Chemistry of Halogens (BLEACH)", "abstract": "The Bermuda boundary Layer Experiment of the Atmospheric Chemistry of Halogens (BLEACH) was a collaboration between the University of York, the University of California Los Angeles, the University of Washington and NOAA-CSL. BLEACH aimed to obtain an extensive dataset of gas and aerosol phase halogen species to further the understanding of reactive halogen chemistry occurring in the remote marine boundary layer.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208948/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208949/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209008/?format=api" ] }, { "ob_id": 43702, "uuid": "fa308f5639a54d0ba0b401c206042797", "title": "Amazonian Landscapes in Transition", "abstract": "The Amazonian Landscapes in Transitions (ALT) project seeks to address the a fundamental question as to whether Amazonian forests will be able to withstand the simultaneous impacts of climate and local anthropogenic disturbances. This question is of global relevance, as France is directly involved in negotiations on the potential of its forests to both offset carbon emissions and mitigate the biodiversity crisis. \r\n\r\nThe project approach was to calibrate detailed forest dynamic models to generate maps of ecological indicators that will account for forest vulnerability, in addition to current forest indicators. Such territorial model-based estimates of ecological indicators for French Guiana will be associated with uncertainty maps. This strategy depends on the consolidation of a solid knowledge based of accurate forest inventories, including trees in the forest understory, which condition the future of forest regeneration, on information on plant functional diversity, and on patterns and processes of tree mortality.", "keywords": "Amazon, Biomass, Trees", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209134/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209135/?format=api" ] }, { "ob_id": 43715, "uuid": "b5807470b54f405aaabf5b1c7a06e463", "title": "TOSCA Biomass", "abstract": "TOSCA represents the French Earth and environmental sciences community and is tasked with making recommendations to CNES’s Earth sciences team on: The space programme science priorities and direction, funding priorities for space research proposals and, where necessary, any matters concerning space programmes and projects in its science fields\r\n\r\nTOSCA works on science foresight and is consulted by CNES’s Head of Earth Sciences in the event of programmatic changes and on any proposed decision concerning space programs and projects related to this field. Biomass is one TOSCAs scientific programs.", "keywords": "Biomass, Terrestrial laser scanning", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209148/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209149/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209150/?format=api" ] }, { "ob_id": 43720, "uuid": "d3685300168848f290dd3a9ec14cc8ac", "title": "Wessex Convection experiment - Observing the Evolving Structures of Turbulence (WOEST)", "abstract": "This project, WesCon - Observing the Evolving Structures of Turbulence (WOEST), complements the Met Office's Wessex Convection Experiment (WesCon) project by enabling frequent observations of the same turbulent structures at high resolution. In terms of moist convective turbulence, WOEST will radically advance observations of cloud dynamics by tracking precipitating cores of convective clouds and the turbulent regions embedded within them in real-time using four dual-polarisation Doppler radars. The radar scans will also be coordinated with the FAAM aircraft location to enable coincident observations. In terms of boundary-layer turbulence and variability, their evolution will be captured uniquely by multiple UAS, which will be coordinated to capture hourly profiles of temperature, humidity, and winds to study the small-scale variability in the lowest 2km of the atmosphere. Additionally, an array of cloud cameras will be used to reconstruct the 3D motion and evolution of boundary-layer clouds, to be related to the turbulent and dynamic evolution of the boundary layer as measured by remote sensing instruments such as lidar (to measure cloud bases and humidity profiles) and wind profilers.\r\n\r\nThe observations gathered in WOEST will capture turbulent processes in the atmosphere at a range of fine spatial and temporal scales. Our multi-instrument approach will enable us to evaluate simulations of turbulence and dynamics in convective clouds and how the structure and evolution of the boundary layer influence moist convective turbulence at a range of scales, including at the process-level relating turbulence to the strength and size of updrafts. This will lead to a new understanding of the variability and evolution of the boundary layer in the context of the surrounding cloud field and the variability of turbulence and cloud dynamics. Such insights should lead to significant improvements within the sub-grid turbulence parametrisations that allow both km-scale global weather and climate simulations and sub-km-scale regional weather forecasts to more accurately predict the evolution and intensity of hazardous convective storms.", "keywords": "WesCon, WOEST", "status": "ongoing", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13312/?format=api" ], "observationCollection": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43875/?format=api" ], "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/44236/?format=api", "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209178/?format=api" ] }, { "ob_id": 43877, "uuid": "8f325aa1373b49fea3cf258cca87d702", "title": "Thermochemical Remanent Magnetisations: How Do They Affect Ancient Magnetic Field Intensities from", "abstract": "To investigate the microstructural and compositional characteristics of iron-titanium oxide minerals and their impact on thermochemical remanent magnetisation (TCRM). TCRM plays a crucial role in understanding how minerals record past magnetic field intensities, which is essential for reconstructing Earth's and the Solar System’s magnetic history.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13288/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209755/?format=api" ] }, { "ob_id": 43881, "uuid": "b992c3097a4a44798905fe3fa04263cc", "title": "NE/V001388/1 Project, \"Thermochemical Remanent Magnetisations: How Do They Affect Ancient Magnetic F", "abstract": "", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209769/?format=api" ] }, { "ob_id": 43886, "uuid": "e6a317f0bc544a4e8a45884b82e6ccae", "title": "Operationalising Ambient Air Pollution Estimation", "abstract": "This doctoral research focuses on developing and implementing machine-learning methodologies to estimate ambient air pollution, introducing scalable machine-learning approaches for estimating hourly pollution levels, aiming to enhance the accuracy and accessibility of air quality data for environmental analysis and policy-making.", "keywords": "Ambient Air Quality, England, Nitrogen Dioxide, Nitrogen Oxides, Ozone, Particulate Matter, Sulphur Dioxide, Machine Learning, Air Pollution Scenarios, AI", "status": "", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209787/?format=api" ] }, { "ob_id": 43933, "uuid": "7060904eb2d140f887bbcf07224d19f3", "title": "The SAFE project", "abstract": "The Sustainable Agriculture for Forest Ecosystems (SAFE) Project is one of the largest ecological experiments in the world. It studies how biodiversity and ecosystem function change as forests are modified by human activities. As well as studying the change, it also explores whether preserving sections of forest within modified landscapes and around waterways can protect biodiversity and ecosystem function, and how much protection is needed to be effective.\r\n\r\nSAFE is one of three large-scale field experiments managed by the South East Asia Rainforest Research Partnership (SEARRP), and represents a close collaboration with Imperial College London and local partners. Our scientific research encompasses expertise from many institutions, each running interlinked projects to better understand the ecology of changing landscapes.\r\n\r\nThe project is co-funded by the European Union (EU), the German Federal Ministry for Economic Cooperation and Development (BMZ), and the Dutch Ministry of Foreign Affairs (BZ). It runs from January 2022 until March 2028", "keywords": "SAFE, ecology, Forest, TLS", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212037/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212038/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209985/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209986/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209987/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212041/?format=api" ] }, { "ob_id": 43969, "uuid": "f39d15602d404756988c225a188096f2", "title": "Forest Degradation Experiment (FODEX)", "abstract": "It is know how to map tropical forest biomass using an array of satellite and aircraft sensors with reasonable accuracy (±15-40 %). However, we do not know how to map biomass change. Simply differencing existing biomass maps produces noisy and biased results, with confidence intervals unknowable using existing static field plots. Thus the potential for using plentiful free satellite data for biomass change mapping is being wasted. The FODEX project provides the first experimental arrays of biomass change plots. In total 52 large plots will be located in logging concessions in Gabon and Peru, where biomass will be assessed before and after logging, and during recovery. In addition to traditional field inventory, terrestrial laser scanning (TLS) data will give the precise 3D shape of thousands of trees before and after disturbance, allowing biomass change to be estimated without bias. The project’s unmanned aerial vehicle (UAV) will collect LiDAR data 4 times over each concession over 4 years, scaling up the field data to give thousands of hectares of biomass change data. In tandem, data from all potentially useful satellites (17+) flying over the field sites over the study period will be ordered and processed. These data will enable the development of new methods for mapping carbon stock changes, with known uncertainty, enabling upscaling across the Amazon basin and west/central Africa. For the first time we will have the methods to assess the balance of regrowth and anthropogenic disturbance across tropical forests, informing us about the status and resilience of the land surface carbon sink. As well as of scientific interest, these results are urgently needed for forest conservation: the Paris Agreement relies on paying countries to reduce losses and enhance gains in forest carbon stocks, but we do not currently have the tools to map forest carbon stock changes. Without accurate monitoring it is not possible to target resources nor assess success. FODEX addresses this problem.\r\n\r\nThis project was funded by EC H2020 program under grant_number: 757526", "keywords": "FODEX, TLS, Gabon", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210238/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210239/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210240/?format=api" ] }, { "ob_id": 43994, "uuid": "28369731c7d34104bf6eb8fe7004c18c", "title": "Community Scenarios Of Hydrogen Energy And Impacts On Air Pollution", "abstract": "- We examine a range of scenarios up to 2050 with different levels of hydrogen take-up, in different sectors, to understand the consequences for air pollution. These scenarios were produced using the UK TIMES energy system model at UCL, which represents all substantive UK energy flows and greenhouse gas emissions.\r\n- UK Integrated Assessment Model (UKIAM) at Imperial College used to examine the changes in air quality that might occur in the future due to adopting hydrogen in our scenarios.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13296/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210377/?format=api" ] }, { "ob_id": 44098, "uuid": "222b616b2b9f4e0fbb7aa4625bf1d510", "title": "Investigating multi-decadal climate variations in seasonal forecasts: the role of aerosols", "abstract": "This project aims to build on the work of the ECMWF CONFESS project, and previous 20th century seasonal hindcast studies, to investigate the role of aerosol forcing on seasonal hindcast skill.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13304/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210913/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210914/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210915/?format=api" ] }, { "ob_id": 44102, "uuid": "528e0655f87d4e1a8a98993befb0e685", "title": "Global Surface Air Temperature (GloSAT)", "abstract": "The goal of the GloSAT project was to develop, extend and analyse a consistent record of observed global surface temperatures to help scientists better understand how the Earth's climate has changed since the late 18th century. GloSAT developed a temperature record based on in situ air temperature observations over land and ocean. Prior instrumental records of global mean surface temperature change combine air temperature over land and terrestrial ice-covered regions with sea surface temperature readings, typically with start dates around the mid-19th century. GloSAT extends the instrumental global temperature record further back to the late 18th century through use of marine air temperature measurements, combined with improved understanding of measurement uncertainties affecting land and ocean data.", "keywords": "", "status": "", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13310/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210954/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210955/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210956/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210957/?format=api" ] }, { "ob_id": 44220, "uuid": "80c021192a2b4c9aad0f0daea9d26e01", "title": "Predicting the upper atmospheric response to extremes of space weather forcing", "abstract": "", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211480/?format=api" ] }, { "ob_id": 44236, "uuid": "1f4211c21993451b86453dd7c10d36de", "title": "ParaChute", "abstract": "ParaChute is a four-year programme of work jointly funded between UKRI and the Met Office with the aim of significantly improving the representation of turbulence in km and sub-km scale models.\r\nIt is an £11m programme jointly led by the Met Office and UKRI and running over four years from February 2023. The Met Office is collaborating with researchers from the Universities of Exeter, Leeds, Reading, Manchester and Imperial College. \r\n\r\n5 projects have been funded under ParaChute:\r\n1) WesCon (Wessex Convection experiment) WOEST – (WesCon Observing the Evolving Structures of Turbulence)\r\n2) Hi-Fi (A novel turbulence closure for High-Fidelity Numerical Weather Prediction)\r\n3) UMBRELLA (UM Boundary Layer Representation with Land-Atmosphere Interactions)\r\n4) MORPH (Putting the Morph into CoMorph)\r\n5) CloudyTime (Convective Cloud Dynamics and Turbulence Interactions with Microphysical Processes and the Atmospheric Environment)", "keywords": "", "status": "ongoing", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/37501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/43720/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211538/?format=api" ] }, { "ob_id": 44328, "uuid": "f062fb741e364210835882e71b74eb6c", "title": "RINGO project", "abstract": "The aims of the “Readiness of ICOS for Necessities of integrated Global Observations” (RINGO) project were the further development of Integrated Carbon Observation System (ICOS) Research Infrastructure (RI) and ICOS Ruropean Research Infrastructure Committee (ERIC) and foster its sustainability. The challenges are to further develop the readiness of ICOS RI along five principal objectives: \r\n\r\n1. Scientific readiness. To support the further consolidation of the observational networks and enhance their quality. This objective is mainly science-guided and will increase the readiness of ICOS RI to be the European pillar in a global observation system on greenhouse gases. \r\n\r\n2. Geographical readiness. To enhance ICOS membership and sustainability by supporting interested countries to build a national consortium, to promote ICOS towards the national stakeholders, to receive consultancy e.g. on possibilities to use EU structural fund to build the infrastructure for ICOS observations and also to receive training to improve the readiness of the scientists to work inside ICOS.\r\n\r\n3. Technological readiness. To further develop and standardize technologies for greenhouse gas observations necessary to foster new knowledge demands and to account for and contribute to technological advances.\r\n\r\n4. Data readiness. To improve data streams towards different user groups, adapting to the developing and dynamic (web) standards.\r\n\r\n5. Political and administrative readiness. To deepen the global cooperation of observational infrastructures and with that the common societal impact.", "keywords": "Carbon, Trees", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212047/?format=api" ] }, { "ob_id": 44329, "uuid": "0b0c5a2c0a7b466ab4286a7fc8bda179", "title": "3D-FOGROD: Understanding forest growth dynamics using novel 3D measurements and modelling approaches", "abstract": "Forest ecosystems are an essential terrestrial carbon sink, and deforestation and forest degradation account for about 12% of global anthropogenic carbon emissions. However, estimates of the global distribution of terrestrial carbon sinks and sources are highly uncertain. Constraining the inaccuracy of carbon estimates is essential to support effective forest management and future climate mitigation. A better understanding of forest growth dynamics will improve our understanding of the carbon cycle and mechanisms responsible for terrestrial carbon sources and sinks, reducing uncertainties on their magnitude and distribution. The 3D-FOGROD project aimed to improve our understanding of forest growth dynamics and evaluate the role of elevated CO2 levels on forest growth. It achieved this by using novel 3D laser scanning (LiDAR) techniques, unique datasets and state-of-the-art modelling approaches to:\r\n\r\n(1) accurately quantify forest growth using terrestrial LiDAR data in a free-air CO2 enrichment experiment; \r\n(2) improve historical and future simulated forest growth dynamics using LiDAR derived forest structure for a range of forest ecosystems; \r\n(3) develop and disseminate recommendations for climate mitigation actions to policy makers based on new insights in forest growth dynamics and carbon cycling.", "keywords": "Trees, Terrestrial Laser Scanning, LiDAR, Forest", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212052/?format=api" ] }, { "ob_id": 44347, "uuid": "5f1d11216a4d443195ced76535efade4", "title": "The multi-trophic impact of ash dieback", "abstract": "It is increasingly recognised that multitrophic studies are needed for better understanding of ecosystem dynamics in response to agents of global change, yet such studies are rare, with most focusing on specific taxa and one-way ecological interactions. One of the major agents of contemporary global change in ecosystems is the global spread and increased frequency of pathogens and pests, with consequences for biodiversity, ecosystem functioning and biosphere carbon balance. In European forests, the most acute recent concern is the spread of the fungal pathogen Hymenoscyphus fraxineus across the range of the European ash tree (Fraxinus excelsior), resulting in up to 90% ash mortality (\"ash dieback\"). Typically, between 50% - 70% of ash trees die within five years of becoming infected and evidence suggests that young trees will die faster than mature ones, making regeneration unlikely. Ash is an ecologically important species that is associated with fast growth and high nutrient turnover, due to its highly degradable litter, and a high diversity of ground flora due to its naturally sparse canopy. For these reasons it also influences key ecosystem attributes and processes such as biogeochemical cycling and woodland structure and biodiversity. \r\n\r\nIn 2017 ash dieback was detected in Wytham Woods, Oxford's iconic ecological observatory. Ash is a major component of the canopy in Wytham and so the decline of this species will have profound impacts on the ecology, dynamics and carbon budget of the woodland. While the impacts of ash dieback on ash trees themselves have received attention, no studies to date have explored how the consequences of ash dieback cascade through multiple trophic levels of a forest ecosystem. Wytham is uniquely positioned to track the full ecological consequences of the disease.\r\n\r\nThis project examines the multi-trophic impacts of ash dieback on biogeochemical cycling, habitat structure and predation, and spatial heterogeneity and connectivity. This has been achieved by coordinating and expanding existing monitoring of vegetation, birds and mammals, and initiating new studies of soil and litter organisms and microclimate. This coordinated effort over four years will result in a novel multi-trophic understanding of the consequences of forest disruption by tree pathogens, providing insights that are applicable to managing and mitigating the ecological consequences of tree dieback events.\r\n\r\nThe aims will be met through a range of surveys and experiments for which we will adopt an experimental approach of \"simulated ash dieback\" which will lead to >80% mortality through ring-barking of ash trees in selected plots. These treatments will enable us to focus on the longer-term impacts of the dieback (10-20 years after infection), when tree mortality process will dominate, in contrast to the early (3-7 years) stages of ash dieback monitored in the unmanipulated plots, dominated by canopy loss rather than mortality. Additionally, we will take advantage of existing infrastructure and monitor the multi-trophic effect of ash dieback across the woodland. \r\n\r\nThis project was funded by NERC under grant number NE/T007648/1 and rand ran March 2020 - March 2025", "keywords": "Ash dieback, Trees, Terrestrial Laser Scan", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212139/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212140/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212104/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212105/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212107/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212141/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212142/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212145/?format=api" ] }, { "ob_id": 44350, "uuid": "575f38e01f604086913950adf1f4c518", "title": "MC2 (Mantle Circulation Constrained)", "abstract": "This project is an interdisciplinary approach to constraining mantle circulation. We investigate how plate tectonics is linked to mantle circulation, by combining the history of plate movements across Earth's surface with observations drawn from across the geosciences, and use these to constrain state-of-the-art 4D computational models of mantle flow.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13398/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212137/?format=api" ] }, { "ob_id": 44508, "uuid": "b68e7dd41370480db6e08493cb19dda1", "title": "SURVIWEC (Survivability of Wave Energy Converters)", "abstract": "The SURVIWEC project aims to develop and validate a numerical tool based on DualSPHysics to assess the survivability of point absorber wave energy devices under extreme wave conditions. The project includes analyzing present and future wave scenarios, enhancing the simulation code, and testing various device configurations. The tool and validation data will be released as open-source to support further research and development.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13417/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213009/?format=api" ] }, { "ob_id": 44590, "uuid": "c77837b665e34af8b8793c310709bf58", "title": "Hunga Tonga-Hunga Ha’apai Volcano Impact Model Observation Comparison (HTHH-MOC) Project", "abstract": "The 2022 Hunga volcanic eruption injected a significant amount of water vapor and a moderate amount of sulfur dioxide into the stratosphere causing observable responses in the climate system. We have developed a model-observation comparison project to investigate the evolution of volcanic water and aerosols, and their impacts on atmospheric dynamics, chemistry, and climate, using several state-of-the-art chemistry climate models.", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213334/?format=api" ] }, { "ob_id": 44619, "uuid": "00cef3df36d648f5b8aeba7b29b491fd", "title": "Preparedness and planning for the mountain hazard and risk chain in Nepal", "abstract": "International collaborative research on earthquake- and monsoon-triggered hazard chains in Nepal, the ways in which those hazards are experienced, and the ways in which they can be planned for by individuals, communities, government, and humanitarian partners", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13457/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213614/?format=api" ] }, { "ob_id": 44626, "uuid": "80b303629c1b4b53ac0200d658b6ec66", "title": "Black and Bloom", "abstract": "Black and Bloom is a research project, funded by the UK Natural Environment Research Council (NERC), that aims to unravel how dark particles (black) and microbial processes (bloom) darken and accelerate the melting of the Greenland Ice Sheet. NE/M021025/1\r\nhttps://blackandbloomorg.wordpress.com/", "keywords": "", "status": "completed", "publicationState": "published", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13458/?format=api" ], "observationCollection": [], "parentProject": null, "subProject": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213682/?format=api" ] } ] }