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predictions of soil erosion impacts on land and freshwater systems in the Lake Victoria Basin. These impacts include: (1) soil nutrient balances as a function of nitrogen (N) and phosphorus (P) loads to the land surface from fertiliser, manure and atmospheric deposition, minus rates of nutrient loss via soil erosion; and (2) total sediment and nutrient exports to water aggregated per sub-catchment (t/yr), which combines nutrients lost in surface runoff and subsurface flows with additional losses associated with erosion of existing soil nutrient stocks. These data are particularly useful for better understanding terrestrial N and P dynamics, and should provide valuable data for analysis of soil fertility, food security and water quality.\n\nThese data were generated for each year (2000, 2005, 2010, 2015 & 2022) using two models from the InVEST ecosystem services platform: the Nutrient Delivery Ratio (NDR) and Sediment Delivery Ratio (SDR) models. Each of these models relies on a set of simple empirical functions, which has the advantage of requiring few model inputs that are easy to provide and allow for rapid modelling of large spatial areas, but come with the disadvantage of missing potentially important processes. For example, the SDR model only considers soil erosion via rills and sheetwash; it does not capture gullies, landslides or river channel change. Additionally, it was not possible to calibrate either model due to a scarcity of observational data. However, the models do produce generally expected patterns of sediment and nutrient dynamics. Hence, the outputs should still be useful for identifying areas of relatively high and low values and for assessing relative changes over time. \n\nThe outputs themselves consist of raster gridded maps at 90 x 90 metre resolution, as well as vector polygons representing sub-catchments. The sub-catchments aggregate the total sediment, N and P exports from land to water for all grid cells present within each sub-catchment's boundary. All maps cover the full catchment area (196,883 sq. km excluding the lake itself) of the Lake Victoria Basin.","documentType":"GEMINI_DOCUMENT","familyName":["Feeney","Sharps","Bisht","Thomas","May"],"fullName":["Feeney, C.","Sharps, K.","Bisht, T.","Thomas, A.","May, L."],"funder":["Natural Environment Research Council"],"givenName":["C.","Katrina","Christopher","Tarun","Amy","Linda"],"grant":["NE/X006247/1"],"identifier":"02977a5d-00a0-44f8-baee-d2e0eecb5df0","incomingCitationCount":0,"keyword":["Lake Victoria","Modelling","Soil","Water quality","freshwater","land","nitrogen","nutrient balance","phosphorus","sediment","soil erosion","InVEST"],"keywordsOther":["freshwater","land","nitrogen","nutrient balance","phosphorus","sediment","soil erosion","InVEST"],"keywordsPlace":["Lake Victoria"],"keywordsTheme":["Modelling","Soil","Water quality"],"licence":"Open government licence","lineage":"The model outputs were ultimately generated from the InVEST platform’s NDR and SDR models. Each of these has a similar structure that uses a digital elevation model (DEM), catchment polygon and threshold flow accumulation (in this case, 1000) to generate a river network and a surrounding topographically varying land surface within the catchment. This is combined with simple formulae that represent land-water connectivity to allow the models to calculate the delivery of matter (here, sediments, N and P) from land to water. Gross loss rates of sediment, N and P from the land surface are governed by combinations of land cover (with each land cover class represented in a map layer and corresponding table of biophysical coefficients), rainfall, soil structure and slope length and steepness. Connectivity parameters govern how much of these gross losses from land ultimately impact the river network (becoming “net” losses).\n\nTopsoil (0-20 cm) nutrient concentration maps from iSDA-soil were combined with erosion rate predictions to estimate rates of soil total nitrogen and total phosphorus fluxes with soil loss. These soil erosion-associated nutrient losses were subtracted from maps produced by the NDR model that represent the total N and P loads from fertilisers, manure and atmospheric deposition to compute nutrient balances on all land grid-cells. Soil nutrient levels were also multiplied by sediment export rates maps produced by the SDR model and aggregated for each subcatchment (i.e. summing values from all grid cells within a subcatchment). These aggregated values were added to aggregated N and P exports to the river network (produced by the NDR model) to obtain more complete total N and P exports from land to water.\n\nQA checks were undertaken to ensure all raster layers were exactly aligned with one another to the same spatial extent, coordinate reference system and resolution (exactly 90 m). Additionally, model outputs were quantitatively evaluated against the limited pool of observational data available to us from catchment outlets all along Lake Victoria’s shoreline. Predicted sediment, and total N and P exports (that each account for the erosion of soil nutrient stocks in addition to losses via runoff captured by the NDR model) were evaluated against available observational measurements from the years 2000 and 2005. In most cases, predicted sediment, N and P losses were predicted to be within 1 order of magnitude of the observations (a widely accepted standard for evaluation of catchment-level exports – see the supporting documentation for more details) and thus our results are shown to be reasonably accurate.\n\nTo reduce the overall sizes of each data file, we converted the data from floating point to integer format. Before converting our data into integer format, we multiplied each raster layer (individual band in our GeoTiffs) by 100. Therefore, the user of our data will need to divide the values stored in our raster layers by 100 to get the “true” values (in units of kg/grid cell/year to 2 decimal places).\n\nAfter converting our data into integer format, each raster band was harmonised to the same coordinate reference system and spatial extent before stacking into multi-band GeoTiff files. The data contained in the geopackage file requires no transformation prior to analysis or other use. The geopackage consists of 5 layers (named after each simulated year: 2000, 2005, 2010, 2015 and 2022).  Please see the Supporting Documentation for further details on attributes recorded in the geopackage layers.","locations":["POLYGON((29.421 -3.842, 29.421 1.28, 35.89 1.28, 35.89 -3.842, 29.421 -3.842))"],"metadataDate":"2026-05-11T18:12:54.000Z","orcid":["https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0003-2175-1842","https://orcid.org/0000-0003-4963-6547","https://orcid.org/0000-0002-4929-7285","https://orcid.org/0000-0003-3385-9973"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-08-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/02977a5d-00a0-44f8-baee-d2e0eecb5df0","10.5285/02977a5d-00a0-44f8-baee-d2e0eecb5df0","doi:10.5285/02977a5d-00a0-44f8-baee-d2e0eecb5df0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents model predictions of soil erosion impacts on land and freshwater systems in the Lake Victoria Basin. These impacts include: (1) soil nutrient balances as a function of nitrogen (N) and phosphorus (P) loads to the land surface from fertiliser, manure...","state":"published","title":"Modelled erosional impacts on soil and freshwater nitrogen and phosphorus dynamics in Lake Victoria’s catchment area, 2000-2022","topic":["0/Modelling/","0/Soil/","0/Water quality/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Loughborough University"],"authorFamilyName":["Zhao","Liang"],"authorFullName":["Zhao, J.H.","Liang, Q.H."],"authorGivenName":["J.H.","Q.H."],"authorRor":["https://ror.org/04vg4w365"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The dataset describes the inundation results simulated by high-performance integrated hydrodynamic modelling system (HiPIMS) model for the pluvial flooding and fluvial flooding in Can Tho city Vietnam. Wherein, the pluvial flooding results simulated by HiPIMS are driven by the design rainfall in the 2, 5, 10, 20, 50, and 100 years return period, respectively, and the fluvial flooding results simulated by HiPIMS are driven by the river water level boundary in 2011.","documentType":"GEMINI_DOCUMENT","familyName":["Zhao","Liang"],"fullName":["Zhao, J.H.","Liang, Q.H."],"funder":["Natural Environment Research Council"],"givenName":["J.H.","Q.H."],"grant":["NE/S002871/1","NE/S00288X/1","NE/S002871/2"],"identifier":"585ce4f2-0070-490f-adb2-ed7f1207605b","incomingCitationCount":0,"keyword":["Vietnam","Can Tho","Hydrology","Modelling"],"keywordsPlace":["Vietnam","Can Tho"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Open government licence","lineage":"The design rainfalls are generated by the peak-over-threshold method based on the local rainfall data. The fluvial water level boundary is calculated by the MIKE 11[1] provided by the local partner. And flood inundation results are produced by the in-house high-performance integrated hydrodynamic modelling system (HiPIMS) driven by the design rainfalls and the water level boundaries.","locations":["POLYGON((105.737 10.032, 105.737 10.061, 105.764 10.061, 105.764 10.032, 105.737 10.032))"],"metadataDate":"2026-05-11T18:25:10.000Z","organisation":["Loughborough University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/585ce4f2-0070-490f-adb2-ed7f1207605b","10.5285/585ce4f2-0070-490f-adb2-ed7f1207605b","doi:10.5285/585ce4f2-0070-490f-adb2-ed7f1207605b"],"resourceType":"Dataset","rightsHolder":["Loughborough University"],"ror":["https://ror.org/04vg4w365","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset describes the inundation results simulated by high-performance integrated hydrodynamic modelling system (HiPIMS) model for the pluvial flooding and fluvial flooding in Can Tho city Vietnam. Wherein, the pluvial flooding results simulated by HiPIMS are driven...","state":"published","supplementalName":["DHI, D. (2003). MIKE 11: a modelling system for rivers and channels, reference manual. DHI–Water and Development, Horsholm, Denmark."],"title":"Flood modelling simulations for Can Tho city, Vietnam","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"authorFullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"authorGivenName":["J.","S.","E.J. ","T.","M."],"authorOrcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-3627-851X","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel, lead, zinc, sulphur, and nitrogen over the UK on a 3x3 km2 grid for years between 1750 and 2018.\n\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"fullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"funder":["Natural Environment Research Council"],"givenName":["J.","S.","E.J. ","T.","M.","Janice"],"grant":["NE/R016429/1 "],"identifier":"bf508daa-c33c-4d75-a250-72b94b1855d4","incomingCitationCount":0,"keyword":["UK-SCAPE","European Monitoring and Evaluation Programme (EMEP)","EMEP4UK","Pollution","Modelling","oxides of sulphur","aerosol","reduced nitrogen","nitrogen oxides","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen"],"keywordsOther":["oxides of sulphur","aerosol","reduced nitrogen","nitrogen oxides","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen"],"keywordsProject":["UK-SCAPE","European Monitoring and Evaluation Programme (EMEP)","EMEP4UK"],"keywordsTheme":["Pollution","Modelling"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2 were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.\n\nTo assess and control the quality of the heavy metal data, we used observations from the Defra UK Heavy Metals Network and historical observation from NETCEN (Baker 2001).\n\nThe data were processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\n\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:07:47.000Z","orcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-3627-851X","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-02-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bf508daa-c33c-4d75-a250-72b94b1855d4","10.5285/bf508daa-c33c-4d75-a250-72b94b1855d4","doi:10.5285/bf508daa-c33c-4d75-a250-72b94b1855d4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel,...","state":"published","supplementalDescription":["The Weather and Research Forecast (WRF) model derived meteorology has been used to drive the EMEP4UK model: Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp. "," The National Centers for Environmental Prediction Final Reanalysis dataset have been used as initial and boundary condition, and to nudge the WRF model: National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6M043C6. Accessed  01/01/2022  ","Data from this center were used in the EMEP4UK model","Data from this inventory were used in the EMEP4UK model","Emissions used in EMEP4UK model are available from this paper: Tomlinson et al., 2023. Estimates of anthropogenic emissions of metals and air pollutants in the UK at a 1 km resolution, 1750-2100","Observations that were used to assess and control the quality of the heavy metal data can be found in this report: Baker, S.J., 2001. Trace and Major Elements in the Atmosphere at Rural Locations in the UK: Summary of Data for 1999 (No. AEAT/R/ENV/0264). National Environmental Technology Centre."],"supplementalName":["Weather and Research Forecast model","National Centers for Environmental Prediction Final Reanalysis dataset ","EU EMEP Emissions Center","The UK National Atmospheric Emissions Inventory","The Republic of Ireland National Emissions Inventory","Tomlinson et al., (2023)","Baker (2001)"],"title":"Heavy metal, nitrogen, and sulphur atmospheric deposition from the European Monitoring and Evaluation Program Model for the UK (EMEP4UK) for 1750-2018","topic":["0/Pollution/","0/Modelling/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["Swansea University","US Forest Service"],"authorFamilyName":["Cabo","Laino","Doerr","Parsons","Hudak","Santin"],"authorFullName":["Cabo, C.","Laino, D.","Doerr, S.H.","Parsons, R.A.","Hudak, A.T.","Santin, C."],"authorGivenName":["C.","D.","S.H.","R.A.","A.T."],"authorOrcid":["https://orcid.org/0000-0002-0387-9052","https://orcid.org/0000-0002-7106-0559","https://orcid.org/0000-0002-8700-9002","https://orcid.org/0000-0001-5091-8993","https://orcid.org/0000-0001-7480-1458","https://orcid.org/0000-0001-9901-2658"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/03zmjc935"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of high-resolution individual tree attributes specifically formatted for 3D fuel modeling and physics-based fire simulation. 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This resource was developed to provide \"ground truth\" fuel data for the validation and calibration of next-generation wildfire models, enabling researchers to simulate fire behaviour-such as crown fire initiation and heat flux-with higher physical fidelity.","documentType":"GEMINI_DOCUMENT","familyName":["Cabo","Laino","Doerr","Parsons","Hudak","Santin"],"fullName":["Diego Laino","Cabo, C.","Laino, D.","Doerr, S.H.","Parsons, R.A.","Hudak, A.T.","Santin, C."],"funder":["Natural Environment Research Council","Agencia Estatal de Investigacion","Department of Defense Strategic Environmental Research and Development Program"],"givenName":["C.","D.","S.H.","R.A.","A.T."],"grant":["NE/T001194/1","PID2021-126790NB-I00","RC20-1025","RC23-7626"],"identifier":"bc67144d-91c4-446d-8691-248a793bf4f4","incomingCitationCount":0,"keyword":["Climate and climate change","Modelling","Environmental risk","forest fire","remote sensing","forestry","computation fluid dynamics models","LiDAR","fuel"],"keywordsOther":["forest fire","remote sensing","forestry","computation fluid dynamics models","LiDAR","fuel"],"keywordsTheme":["Climate and climate change","Modelling","Environmental risk"],"licence":"Open government licence","lineage":"Point cloud acquisition was done between 8th and 12th July 2019 in a 200x200 m2 study plot of a ponderosa pine woodland in Sycan Marsh preserve, Oregon, USA. \nTLS point cloud sampling was performed along a 50 m grid to create a synoptic scan. 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Real-world coordinates (X, Y), Diameter at Breast Height (DBH) and tree Total Height (TH) are provided for each tree.","locations":["POLYGON((-121.169 42.84, -121.169 42.857, -121.151 42.857, -121.151 42.84, -121.169 42.84))"],"metadataDate":"2026-06-03T09:26:33.000Z","orcid":["https://orcid.org/0000-0002-0387-9052","https://orcid.org/0000-0002-7106-0559","https://orcid.org/0000-0002-8700-9002","https://orcid.org/0000-0001-5091-8993","https://orcid.org/0000-0001-7480-1458","https://orcid.org/0000-0001-9901-2658"],"organisation":["Swansea University","US Forest Service","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bc67144d-91c4-446d-8691-248a793bf4f4","10.5285/bc67144d-91c4-446d-8691-248a793bf4f4","doi:10.5285/bc67144d-91c4-446d-8691-248a793bf4f4"],"resourceType":"Dataset","rightsHolder":["Swansea University"],"ror":["https://ror.org/053fq8t95","https://ror.org/03zmjc935","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of high-resolution individual tree attributes specifically formatted for 3D fuel modeling and physics-based fire simulation. The primary data resource is a structured inventory of forest vegetation, where each entry represents an individual tree....","state":"published","title":"Real-world tree attribute input data for 3D fuel modelling in FastFuels from Oregon, USA, 2019","topic":["0/Climate and climate change/","0/Modelling/","0/Environmental risk/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Tso"],"authorFullName":["Tso, C.-.M."],"authorGivenName":["C.-H.M."],"authorOrcid":["https://orcid.org/0000-0002-2415-0826"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["R"],"description":"This model code provides an example to demonstrate a new application of the 'learnr' R package to help authors to make elements of their research analysis more readily reproducible to users. 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It turns a R Markdown document to guided, editable, isolated, executable, and...","state":"published","supplementalDescription":["Lamb Weather Types (LWTs)","Reading daily Atlantic multidecadal oscillation (AMO) data"],"title":"R Shiny demonstrator application for advancing reproducible research","topic":["0/Modelling/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre of Ecology & Hydrology"],"authorFamilyName":["Wang","Tomlinson","Carnell","Pearson","Vieno","Nemitz","Sutton"],"authorFullName":["Wang, Y.","Tomlinson, S.J.","Carnell, E.J.","Pearson, C.","Vieno, M.","Nemitz, E.","Sutton, M.A."],"authorGivenName":["Yuanlin","Samuel J.","Edward J.","Clare","Massimo","Eiko","Mark A."],"authorOrcid":["https://orcid.org/0000-0002-0411-4860","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0003-3274-1586","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0002-1765-6298","https://orcid.org/0000-0002-1342-2072"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the South Asia driven by Weather and Research Forecast model meteorology (WRF). It provides daily mean atmospheric compositions and fluxes of the South Asia on a 0.1° x 0.1° resolution grid for years 2015 and 2030.\nThe EMEP model version used here is rv4.45, and the WRF model version is the 4.4.2. \nThis work was carried out within the South Asian Nitrogen Hub funded by the UK Global Challenges Research Fund (GCRF) of UKRI administered by the Natural Environment Research Council (NERC) (NE/S009019/1).","documentType":"GEMINI_DOCUMENT","familyName":["Wang","Tomlinson","Carnell","Pearson","Vieno","Nemitz","Sutton"],"fullName":["Yuanlin Wang","Wang, Y.","Tomlinson, S.J.","Carnell, E.J.","Pearson, C.","Vieno, M.","Nemitz, E.","Sutton, M.A."],"funder":["Natural Environment Research Council"],"givenName":["Yuanlin","Samuel J.","Edward J.","Clare","Massimo","Eiko","Mark A."],"grant":["NE/S009019/1"],"identifier":"54511607-6cbf-424e-b352-c982de937d0a","incomingCitationCount":0,"keyword":["Modelling","EMEP,  European Monitoring and Evaluation Programme, gases, aerosols, composition, fluxes, deposition, SANH"],"keywordsOther":["EMEP,  European Monitoring and Evaluation Programme, gases, aerosols, composition, fluxes, deposition, SANH"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the South Asia with a resolution of about 0.1°x 0.1° were calculated using the EMEP atmospheric chemistry transport model. \nThe data were processed from the full EMEP model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.","locations":["POLYGON((54.5 -3.5, 54.5 40.5, 103.5 40.5, 103.5 -3.5, 54.5 -3.5))"],"metadataDate":"2026-05-11T18:16:08.000Z","orcid":["https://orcid.org/0000-0002-0411-4860","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0003-3274-1586","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0002-1765-6298","https://orcid.org/0000-0002-1342-2072"],"organisation":["UK Centre of Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-02-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/54511607-6cbf-424e-b352-c982de937d0a","10.5285/54511607-6cbf-424e-b352-c982de937d0a","doi:10.5285/54511607-6cbf-424e-b352-c982de937d0a"],"resourceType":"Dataset","rightsHolder":["UK Centre of Ecology & Hydrology"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the South Asia driven by Weather and Research Forecast model meteorology (WRF). 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NE/R000751/1).\nTo run the model code the user needs to first have a Google Earth Engine account. They should also familiarise themselves with the basics of running GEE code editor. GEE uses JavaScript.\n","locations":["POLYGON((-77.78 -13.65, -77.78 -0.04, -68.65 -0.04, -68.65 -13.65, -77.78 -13.65))"],"metadataDate":"2026-05-11T18:22:46.000Z","orcid":["https://orcid.org/0000-0003-2098-3510","https://orcid.org/0000-0002-3251-1679","https://orcid.org/0000-0002-0692-3186","https://orcid.org/0000-0002-3547-2425"],"organisation":["Charles University","University of St Andrews","Instituto de Investigaciones de la Amazonía Peruana","University of Edinburgh","University of Leeds","Servicio Nacional Forestal y de Fauna Silvestre","University of Liverpool","Center for International Forestry Research (CIFOR)","Karlsruhe Institute for Technology","Sam Houston State University Natural History Museum","Unaffiliated","University of Leicester","San Diego Zoo","NERC EDS Environmental Information Data Centre","University of St Andrews ","University of Edinburgh "],"publicationDate":"2024-01-11T00:00:00.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e337de58-df5e-4412-8aef-28875870f965","10.5285/e337de58-df5e-4412-8aef-28875870f965","doi:10.5285/e337de58-df5e-4412-8aef-28875870f965"],"resourceType":"Model","rightsHolder":["University of St Andrews ","University of Edinburgh "],"ror":["https://ror.org/024d6js02","https://ror.org/02wn5qz54","https://ror.org/010ywy128","https://ror.org/01nrxwf90","https://ror.org/024mrxd33","https://ror.org/04xs57h96","https://ror.org/01rt0fh70","https://ror.org/04t3en479","https://ror.org/00yh3cz06","https://ror.org/04h699437","https://ror.org/04q1yyt92","https://ror.org/04xw4m193"],"shortenedDescription":"Two scripts for classifying remotely sensed data used to produce maps of peatland distribution and predicted peat thickness, using random forest classification and regression. Written in JavaScript for use with Google Earth Engine.\n\nThese are versions of the scripts...","state":"published","supplementalName":["Hastie, A. et al. (2022). Risks to carbon storage from land-use change revealed by peat thickness maps of Peru. Nature Geoscience 15: 369-374. ","Rodríguez-Veiga, P. et al. (2020).  Carbon stocks and fluxes in Kenyan forests and wooded grasslands derived from Earth observation and model–data fusion. Remote Sensing 12: 2380"],"title":"Model code of peatland distribution and predicted peat thickness in lowland Amazonian Peru","topic":["0/Modelling/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Jarvis","Risser","Pywell","Redhead"],"authorFullName":["Jarvis, S.","Risser, H.","Pywell, R.","Redhead, J."],"authorGivenName":["Susan","Hannah","Richard","John"],"authorOrcid":["https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0002-2233-3848"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This product consists of maps of predicted annual application rates (kg/km2/yr) of three different inorganic chemical fertilisers - nitrogen (N), phosphorus (P) and potassium (K) - in England across a seven-year period (2015-2021). Annual estimates, along with their respective estimates of uncertainty, are provided at a 1 km x 1 km resolution with a separate map provided for each fertiliser. This product builds on the previous CEH Land Cover plus: Fertilisers 2010-2015 (England) product, providing maps for more recent years and increasing the temporal resolution to provide a map per year instead of an average across years.","documentType":"GEMINI_DOCUMENT","familyName":["Jarvis","Risser","Pywell","Redhead"],"fullName":["Susan Jarvis","Jarvis, S.","Risser, H.","Pywell, R.","Redhead, J."],"funder":["Natural Environment Research Council"],"givenName":["Susan","Hannah","Richard","John"],"grant":["NE/W005050/1"],"identifier":"0fdfd1c8-eb14-4eef-9cc5-eeb00e1fcafa","incomingCitationCount":0,"keyword":["Agriculture","Modelling","Environmental risk","chemical fertiliser","interpolation","mapping","agrochemical"],"keywordsOther":["chemical fertiliser","interpolation","mapping","agrochemical"],"keywordsTheme":["Agriculture","Modelling","Environmental risk"],"licence":"Non-Open government licence","lineage":"Fertiliser applications to a range of arable and grassland crops were modelled as a function of crop type, soil type and climate. Data on fertiliser applications were derived from the Defra British Survey of Fertiliser Practice (BSFP). To produce a map of applications across England, UKCEH Land Cover plus: Crops was used to identify which crops were grown where, and the modelled fertiliser applications to each crop in each 1km square were summed to create an estimate of total fertiliser application rates per 1km square (kg/km2/yr).","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-05-11T18:15:25.000Z","orcid":["https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0002-2233-3848"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-11-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0fdfd1c8-eb14-4eef-9cc5-eeb00e1fcafa","10.5285/0fdfd1c8-eb14-4eef-9cc5-eeb00e1fcafa","doi:10.5285/0fdfd1c8-eb14-4eef-9cc5-eeb00e1fcafa"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This product consists of maps of predicted annual application rates (kg/km2/yr) of three different inorganic chemical fertilisers - nitrogen (N), phosphorus (P) and potassium (K) - in England across a seven-year period (2015-2021). Annual estimates, along with their...","state":"published","title":"UKCEH Land Cover plus: Fertilisers 2015-2021 (England)","topic":["0/Agriculture/","0/Modelling/","0/Environmental risk/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Sharps","Bisht","Feeney","Thomas","May"],"authorFullName":["Sharps, K.","Bisht, T.","Feeney, C.","Thomas, A.","May, L."],"authorGivenName":["Katrina","Tarun","Christopher","Amy","Linda"],"authorOrcid":["https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0003-4963-6547","https://orcid.org/0000-0003-2175-1842","https://orcid.org/0000-0002-4929-7285","https://orcid.org/0000-0003-3385-9973"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset presents modelled predictions (spanning 2000-2022) for several important ecosystem services in the Lake Victoria basin in eastern Africa. The catchment includes areas of Kenya, Tanzania, Uganda, Rwanda, and Burundi (196,883 sq. km, excluding Lake Victoria itself). The dataset variables include carbon storage across multiple land pools, erosion avoided by the presence of vegetation cover, nitrogen and phosphorus retention by the landscape, annual baseflow (subsurface contribution to river flow) and annual quickflow (surface runoff). These data were generated by UKCEH scientists using the Integrated Valuation of Ecosystem Services & Trade-offs (InVEST) platform of GIS models. The purpose of this dataset is to allow users to investigate how these ecosystems services vary spatially across the landscape and also how they may change over time. Users can also investigate where synergies and trade offs among different ecosystem services occur, which can help inform management decisions such as where to best target the planting of new trees for maximum environmental benefit.\n\nThe dataset comes in the form of 30, single-band geotiff raster files. For each of the six modelled variables, there five files (one file per year: 2000, 2005, 2010, 2015 and 2022), at 90 x 90 metre spatial resolution, using the ESRI:102022 - Albers for Africa equal area projection.","documentType":"GEMINI_DOCUMENT","familyName":["Feeney","Sharps","Bisht","Thomas","May"],"fullName":["Feeney, C.","Sharps, K.","Bisht, T.","Thomas, A.","May, L."],"funder":["Natural Environment Research Council"],"givenName":["C.","Katrina","Tarun","Christopher","Amy","Linda"],"grant":["NE/X006247/1"],"identifier":"c6ba2edc-09f0-4cdc-9aa7-9a108ca91d54","incomingCitationCount":0,"keyword":["Ecosystem services","Modelling","Soil","Land use","Hydrology","carbon stock","ecosystem services","lake basin","nitrogen","phosphorus","runoff","soil erosion","InVEST"],"keywordsOther":["carbon stock","ecosystem services","lake basin","nitrogen","phosphorus","runoff","soil erosion","InVEST"],"keywordsTheme":["Ecosystem services","Modelling","Soil","Land use","Hydrology"],"licence":"Open government licence","lineage":"Models from the Integrated Valuation of Ecosystem Services & Trade-offs (InVEST) platform were used to simulate the spatial distribution of ecosystem service provision across Lake Victoria’s full catchment area. Models used were:\nCarbon Storage and Sequestration (CSS) model to calculate total carbon storage on land\nSediment Delivery Ratio (SDR) model to calculate avoided soil erosion as a result of land cover and management\nNutrient Delivery Ratio (NDR) model to calculate rates of nitrogen and phosphorus retention on the land surface\nSeasonal Water Yield (SWY) model to calculate baseflow (slower moving subsurface water flows) and quickflow (faster moving surface runoff flows)\n\nModel input data consisted of information on soils, geomorphology, climate, vegetative coverage and management practices. This included using large-scale third-party spatial datasets (for example, land cover data, precipitation, potential evapotranspiration, digital soil maps and digital elevation model data (DEM). Each model also requires a biophysical inputs table with land-cover specific values. Values were derived from spatially explicit global datasets, FAOSTAT (for crop production and crop nutrient balance) and published literature for the study area.\n\nThe units for each variable in the dataset are described in the Supporting Documentation.\n\nQuality control checks were carried out on the dataset variables prior to submission. Model outputs for sediment and nutrient loads were compared with observational data from several Lake Victoria sub-catchments (for the years 2000 and 2005) and shown to be reasonably accurate. Most predicted N, P and sediment loads from rivers in the Lake Victoria catchment were found to lie close to the 1:1 line. No independent data on carbon storage could be found to compare the CCS model outputs against; however, a comparison against independent applications of the InVEST carbon model to countries around Lake Victoria reveals that there does seem to at least be agreement that total carbon stocks have declined since 2000 (although the level of decline varies between studies). The SWY model outputs were evaluated by comparing them with independent hydrological modelling data for selected sub-catchments in the region, with results suggesting that the model captures the seasonal dynamics of flow reasonably well across different sub-catchments.\n\nTo keep file sizes to a minimum, a conversion factor has been applied to each raster layer, allowing storage as integer rasters, which are much smaller than floating point formats. See the Supporting Documentation for more details on the conversion factors the user should divide the raster layers by to get the “true” values in the proper units listed above. All rasters were harmonised to exactly the same spatial extents as the DEM layer used to drive most of the modelling to allow for direct comparison with one another. ","locations":["POLYGON((29.421 -3.842, 29.421 1.28, 35.89 1.28, 35.89 -3.842, 29.421 -3.842))"],"metadataDate":"2026-05-11T18:18:25.000Z","orcid":["https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0003-4963-6547","https://orcid.org/0000-0003-2175-1842","https://orcid.org/0000-0002-4929-7285","https://orcid.org/0000-0003-3385-9973"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c6ba2edc-09f0-4cdc-9aa7-9a108ca91d54","10.5285/c6ba2edc-09f0-4cdc-9aa7-9a108ca91d54","doi:10.5285/c6ba2edc-09f0-4cdc-9aa7-9a108ca91d54"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents modelled predictions (spanning 2000-2022) for several important ecosystem services in the Lake Victoria basin in eastern Africa. The catchment includes areas of Kenya, Tanzania, Uganda, Rwanda, and Burundi (196,883 sq. km, excluding Lake Victoria...","state":"published","supplementalName":["InVEST software models"],"title":"Ensemble of land and freshwater ecosystem services mapped for Lake Victoria’s catchment area, 2000-2022","topic":["0/Ecosystem services/","0/Modelling/","0/Soil/","0/Land use/","0/Hydrology/"],"version":1.0,"view":["public","tinzha"]},{"altTitle":["LWdown WFD","Surface incident longwave radiation WFD","Downwards long-wave radiation flux WFD"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. LWdown or surface incident longwave radiation (also known as downwards long-wave radiation flux ) is the surface incident longwave radiation averaged over the next six hours, measured in W/m2 at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars"],"fullName":["Warnaars, T."],"givenName":["Tanya"],"identifier":"e5d00d66-dcf5-4b0e-9346-f6205a336385","incomingCitationCount":0,"keyword":["Modelling","land surface","atmosphere"],"keywordsOther":["land surface","atmosphere"],"keywordsTheme":["Modelling"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-04-22T14:40:28.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1314892215339","CEH:EIDC::1314892215339","https://catalogue.ceh.ac.uk/id/e5d00d66-dcf5-4b0e-9346-f6205a336385"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"...","state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848. "],"title":"WATCH forcing data (WFD) - 20th Century LWdown (surface incident longwave radiation) 1901-2001","topic":["0/Modelling/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marthews"],"authorFullName":["Marthews, T.R."],"authorGivenName":["Toby Richard"],"authorOrcid":["https://orcid.org/0000-0003-3727-6468"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["tar.gz"],"description":"This dataset contains remapped driving data for a rectangular domain covering Perak, Malaysia, for 2015-2025 at a daily timestep. It is intended that these files will facilitate a run of the land surface model JULES https://jules.jchmr.org/ , but they may be used for any LSM that allows NetCDF input files.","documentType":"GEMINI_DOCUMENT","familyName":["Marthews"],"fullName":["Toby Richard Marthews","Marthews, T.R."],"funder":["Natural Environment Research Council"],"givenName":["Toby Richard"],"grant":["NE/X006247/1"],"identifier":"fa4b4ca9-eea3-4e15-88c3-a8e687e273f9","incomingCitationCount":0,"keyword":["Climate and climate change","Modelling","climate","model","forecast"],"keywordsOther":["climate","model","forecast"],"keywordsTheme":["Climate and climate change","Modelling"],"licence":"Open government licence","lineage":"The source data are from the ISIMIP project, specifically ISIMIP3b bias-adjusted climate input data (Inter-Sectoral Impact Model Intercomparison Project phase 3b (ISIMIP3b); info@isimip.org https://www.isimip.org ) (Gosling et al. 2025). For details of bias correction applied in ISIMIP datasets, please see https://www.isimip.org/gettingstarted/isimip3b-bias-correction/ .\n\nISIMIP data are available globally, but only at 0.5°x0.5°C global grid resolution (approx. 50 km resolution at the Equator), when most land surface modelling simulations require higher resolution. Therefore, using a bespoke (R) script written by Dr Toby Marthews, these data were regridded to 1 km resolution across the specified domain. In the interests of parsimony, no downscaling of these data was undertaken: this was a direct regridding process (a 'conservative remapping').\n\nBecause of file size limitations, carrying out this regridding step is often impossible at research institutions, therefore we provide these model-ready files in order to make these driving data more useful to a wider community.\n\n","locations":["POLYGON((100.1 3.6, 100.1 6.1, 103.71 6.1, 103.71 3.6, 100.1 3.6))"],"metadataDate":"2026-05-11T17:44:19.000Z","orcid":["https://orcid.org/0000-0003-3727-6468"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fa4b4ca9-eea3-4e15-88c3-a8e687e273f9","10.5285/fa4b4ca9-eea3-4e15-88c3-a8e687e273f9","doi:10.5285/fa4b4ca9-eea3-4e15-88c3-a8e687e273f9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains remapped driving data for a rectangular domain covering Perak, Malaysia, for 2015-2025 at a daily timestep. It is intended that these files will facilitate a run of the land surface model JULES https://jules.jchmr.org/ , but they may be used for...","state":"published","supplementalDescription":["Gosling, S.N., Schmied, H.M., Bradley, A., Burek, P., Gedney, N., Grillakis, M., Guillaumot, L., Hanasaki, N., Ito, A., Kou-Giesbrecht, S., Koutroulis, A., Nishina, K., Otta, K., Qi, W., Sahu, R.-K., Satoh, Y., Schewe, J., (2025) ISIMIP3b Simulation Data from the Global Water Sector (v1.4), ISIMIP Repository."],"title":"Driving data for the period 2015-2025 for running the JULES Land Surface Model over Perak, Malaysia","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Exeter","UK Met Office","University of Reading"],"authorFamilyName":["Comyn-Platt","Hayman","Huntingford","Chadburn","Burke","Harper","Collins","Webber","Powell","Cox","Gedney","Sitch"],"authorFullName":["Comyn-Platt, E.","Hayman, G.","Huntingford, C.","Chadburn, S.E.","Burke, E.J.","Harper, A.B.","Collins, W.J.","Webber, C.P.","Powell, T.","Cox, P.M.","Gedney, N.","Sitch, S."],"authorGivenName":["Edward","G.","C.","S.E.","E.J.","A.B.","W.J.","C.P.","T.","P.M.","N.","S."],"authorOrcid":["https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0003-3825-4156","https://orcid.org/0000-0002-5941-7770","https://orcid.org/0000-0003-1320-315X","https://orcid.org/0000-0002-2158-141X","https://orcid.org/0000-0001-7294-6039","https://orcid.org/0000-0002-7419-0850","https://orcid.org/0000-0003-3970-8172","https://orcid.org/0000-0002-5240-0351","https://orcid.org/0000-0002-0679-2219","https://orcid.org/0000-0002-2165-5239","https://orcid.org/0000-0003-1821-8561"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/01ch2yn61","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"These data contain 408 instances of annual model output from JULES/IMOGEN simulations, covering the period between 1850-2100.\n\nEach simulation (which corresponds to one netcdf file) provides annual average of carbon stocks of the land, atmosphere and ocean store required to calculate the anthropogenic fossil fuel emissions as the residual of the yearly changes. Also included are the global warming variables, fractional land-cover, natural wetland extent and methane (CH4) flux and the soil temperature and moisture content for additional analysis.\n\nThe spatial coverage is global with spatial resolution of the data is 2.5 degrees latitude, 3.75 degrees longitude. \n\nThis dataset is the model output that was used in Comyn-Platt et al (2018) [\nComyn-Platt, E. et al. (2018). Carbon budgets for 1.5 and 2C targets lowered by natural wetland and permafrost feedbacks. Nature Geoscience. https://doi.org/10.1038/s41561-018-0174-9]","documentType":"GEMINI_DOCUMENT","familyName":["Comyn-Platt","Hayman","Huntingford","Chadburn","Burke","Harper","Collins","Webber","Powell","Cox","Gedney","Sitch"],"fullName":["Comyn-Platt, E.","Hayman, G.","Huntingford, C.","Chadburn, S.E.","Burke, E.J.","Harper, A.B.","Collins, W.J.","Webber, C.P.","Powell, T.","Cox, P.M.","Gedney, N.","Sitch, S."],"givenName":["Edward","G.","C.","S.E.","E.J.","A.B.","W.J.","C.P.","T.","P.M.","N.","S."],"identifier":"1cebd79c-02e7-475a-a1da-1f26a963d41e","incomingCitationCount":0,"keyword":["Climate and climate change","Modelling","carbon budgets","JULES","IMOGEN","climate","carbon cycle","permafrost ecosystem","methane","wetland"],"keywordsOther":["carbon budgets","JULES","IMOGEN","climate","carbon cycle","permafrost ecosystem","methane","wetland"],"keywordsTheme":["Climate and climate change","Modelling"],"licence":"Open government licence","lineage":"These data contain 12 sets (4 model configurations x 3 temperature pathways) of annual model output from JULES driven by 34 different GCM climate patterns as described in the IMOGEN system. \n\nThe four model configurations included are:\n- 'BLco' - Baseline, or control, configuration without methane feedback.\n- 'CH4_lowQ10' - CH4 feedback configuration with a low temperature sensitivity methanogenesis scheme.\n- 'CH4_poorFEN' - CH4 feedback configuration with a methanogenesis temperature sensitivity representative of 'poor fen' type wetlands.\n- 'CH4_richFEN' - CH4 feedback configuration with a methanogenesis temperature sensitivity representative of 'rich fen' type wetlands.\n\nThe three temperature scenarios included are:\n- '2deg' - Stabilisation at 2 deg C by 2100 from below\n- '1p5deg' - Stabilisation at 1.5 deg C by 2100 from below\n- '1p5degOS' - Stabilisation at 1.5 deg C by 2100 following an overshoot to 1.75 deg C\n\nFor full details of the methods used please refer to  Comyn-Platt et al. (2018) https://doi.org/10.1038/s41561-018-0174-9","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-05-11T17:45:47.000Z","orcid":["https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0003-3825-4156","https://orcid.org/0000-0002-5941-7770","https://orcid.org/0000-0003-1320-315X","https://orcid.org/0000-0002-2158-141X","https://orcid.org/0000-0001-7294-6039","https://orcid.org/0000-0002-7419-0850","https://orcid.org/0000-0003-3970-8172","https://orcid.org/0000-0002-5240-0351","https://orcid.org/0000-0002-0679-2219","https://orcid.org/0000-0002-2165-5239","https://orcid.org/0000-0003-1821-8561"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Exeter","UK Met Office","University of Reading","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-06-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1cebd79c-02e7-475a-a1da-1f26a963d41e","10.5285/1cebd79c-02e7-475a-a1da-1f26a963d41e","doi:10.5285/1cebd79c-02e7-475a-a1da-1f26a963d41e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/01ch2yn61","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"These data contain 408 instances of annual model output from JULES/IMOGEN simulations, covering the period between 1850-2100.\n\nEach simulation (which corresponds to one netcdf file) provides annual average of carbon stocks of the land, atmosphere and ocean store required...","state":"published","supplementalName":["JULES (the Joint UK Land Environment Simulator)"],"title":"Natural wetland methane and permafrost thaw feedback modelling with JULES-IMOGEN (1850-2100)","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Swansea University","Vietnam National University, Hanoi","University of Oldenburg"],"authorFamilyName":["Ladd","Le","Ha","Bui","Balke"],"authorFullName":["Ladd, C.","Le, H.","Ha, H.T.T.","Bui, L.","Balke, T."],"authorGivenName":["Cai","Hue","Hue Thi Thu","Ly","Thorsten"],"authorOrcid":["https://orcid.org/0000-0001-5437-6474","https://orcid.org/0000-0001-7733-5069"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/02jmfj006"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","gpkg"],"description":"This dataset contains acceleration data measured from 19 low-cost and open-source bottom-mounted floats called 'Mini Buoys', to identify hydrological conditions associated with thriving and failing planted mangrove patches in Thai Binh Nature Reserve in the Red River Delta, Vietnam. Data were collected between 08-09-2022 to 19-09-2022.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Le","Ha","Bui","Balke"],"fullName":["Cai Ladd","Ladd, C.","Le, H.","Ha, H.T.T.","Bui, L.","Balke, T."],"funder":["Natural Environment Research Council"],"givenName":["Cai","Hue","Hue Thi Thu","Ly","Thorsten"],"grant":["NE/S008926/1"],"identifier":"f88b5f8e-9715-4b61-9fb6-a2e8d0da1ee2","incomingCitationCount":0,"keyword":["Hydrology","Modelling","Environmental survey","Mini Buoy","Inundation duration","Current velocity","Wave orbital velocity","Mangrove restoration planting","Red River Delta","Vietnam"],"keywordsOther":["Mini Buoy","Inundation duration","Current velocity","Wave orbital velocity","Mangrove restoration planting","Red River Delta","Vietnam"],"keywordsTheme":["Hydrology","Modelling","Environmental survey"],"licence":"Open government licence","lineage":"Data to assess the hydrological tipping point between establishing and failing planted mangrove patches was gathered at Thai Binh Nature Reserve (20°34′35″N, 106°37′09″E) along the Red River delta, Vietnam. B4+ Mini Buoys were deployed in a grid between planted mangrove trees of different ages. Each logger sampled y-axis acceleration at 1 Hz. Coordinates showing the location of each Mini Buoy deployment are expressed in WGS84 standard and available in the SurveyLocations.gpkg file.\n\nData are in two folders: Coordinates (containing a single SurveyLocations.gpkg file for the Mini Buoy measurements), and MiniBuoy (containing 19 .csv files). Each .csv file contains acceleration data of an individual Mini Buoy (19 in total). The MiniBuoy data files each include equipment metadata and y-axis acceleration measurements at 1Hz at sub-minute intervals (in DD/MM/YYYY MM:SS:SS).","locations":["POLYGON((104.689 19.585, 104.689 22.014, 107.523 22.014, 107.523 19.585, 104.689 19.585))"],"metadataDate":"2026-06-01T14:58:21.000Z","orcid":["https://orcid.org/0000-0001-5437-6474","https://orcid.org/0000-0001-7733-5069"],"organisation":["Swansea University","Vietnam National University, Hanoi","University of Oldenburg","Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f88b5f8e-9715-4b61-9fb6-a2e8d0da1ee2","10.5285/f88b5f8e-9715-4b61-9fb6-a2e8d0da1ee2","doi:10.5285/f88b5f8e-9715-4b61-9fb6-a2e8d0da1ee2"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/053fq8t95","https://ror.org/02jmfj006","https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains acceleration data measured from 19 low-cost and open-source bottom-mounted floats called 'Mini Buoys', to identify hydrological conditions associated with thriving and failing planted mangrove patches in Thai Binh Nature Reserve in the Red River...","state":"published","supplementalDescription":["This dataset is part of a wider Mini Buoy series - where acceleration and hydrodynamics data were recorded across the Indian Ganges Brahmaputra Meghna, Mekong and Red River Deltas. Mini Buoys offer a practical and open-source way to assess the hydrological dynamics (in terms of inundation, currents and waves) of mangrove forest - allowing assessment of suitability of mangrove plantation schemes. Mini Buoys cost less than $400 to assemble, and the material to build one can be purchased around the globe.","Data can also be uploaded as part of an App, where anyone can upload Mini Buoy data and find out if a mangrove site is suitable for restoration"],"title":"Hydrodynamic data from across a mangrove restoration site in the Red River Delta, Vietnam, 2022","topic":["0/Hydrology/","0/Modelling/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. Wind or near surface wind speed at 10m is the near surface wind speed at 10m in m/s-1 at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars","Stagl"],"fullName":["Warnaars, T.","Stagl, S."],"givenName":["Tanya","S."],"identifier":"611061e5-dd3f-4612-b003-36120d0d35b2","incomingCitationCount":0,"keyword":["Modelling","Hydrology","Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"keywordsOther":["Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"keywordsTheme":["Modelling","Hydrology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-04-22T14:40:28.000Z","organisation":["UK Centre for Ecology & Hydrology","University of Sussex","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1315213681382","CEH:EIDC::1315213681382","https://catalogue.ceh.ac.uk/id/611061e5-dd3f-4612-b003-36120d0d35b2"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"...","state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848. "],"title":"WATCH Forcing Data (WFD) - 20th Century Wind (near surface wind speed) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"altTitle":["MultiMOVE Version 2.0.1","MultiMOVE: A Package of niche models for British vegetation v.2.0.1"],"authorAffiliation":["Centre for Ecology & Hydrology","Biomathematics & Statistics Scotland (BIOSS)"],"authorFamilyName":["Henrys","Butler","Jarvis","Smart","Fang"],"authorFullName":["Henrys, P.A.","Butler, A.","Jarvis, S.G.","Smart, S.M.","Fang, Z."],"authorGivenName":["P.A.","A.","S.G.","S.M.","Z."],"authorOrcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-2750-7832"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["R Script"],"description":"MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from specified environmental data. It also allows plotting of relationships between species' occurrence and individual covariates so the user can see what effect each environmental variable has on the specific species in question. The package is built under R 3.1.2 and depends on R packages 'leaps', 'earth', 'fields', 'mgcv', 'stringr', 'gsubfn', 'randomForest' and 'nnet'. ","documentType":"GEMINI_DOCUMENT","familyName":["Henrys","Butler","Jarvis","Smart","Fang"],"fullName":["Henrys, P.","Henrys, P.A.","Butler, A.","Jarvis, S.G.","Smart, S.M.","Fang, Z."],"givenName":["Pete","P.A.","A.","S.G.","S.M.","Z."],"identifier":"94ae1a5a-2a28-4315-8d4b-35ae964fc3b9","incomingCitationCount":3,"keyword":["Great Britain","Modelling","Vegetation science","ecology"],"keywordsOther":["Vegetation science","ecology"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"Modelling methods used: Generalised Additive Models (GAMs) (Hastie and Tibshirani, 1990) Generalised Linear Models (GLMs) (McCullagh and Nelder, 1989) Random Forests (RF) (Liaw and Wiener, 2002) Multiple Adaptive Regression Splines (MARS) (Friedman, 1991). Neural Networks (NNet) (Venables and Ripley, 2002) Data sources used in the models: National Vegetation Classification (Rodwell 1991 et seq). Data collected at 4-250 m2 using targeted homogenous stands to census full range of plant community variation across Britain. Sampled from 1950-1980. The Key Habitats surveys of Britain (Hornung 1996). Data collected at 4m2 using random sampling within a random selection of 1-km squares stratified by three landscape GIS masks for upland, calcareous grassland and lowland heathland ecosystems. Sampled in 1992. Broadleaved woodland survey of Britain (Kirby et al. 2005; Corney et al. 2006). Data collected at 200 m2 using 16 plots located at random within each of 103 representative sites in Britain. Sampled in 1971. Countryside Survey of Great Britain (Smart et al. 2003). Data collected at 4-200 m2 using randomly located plots within a random selection of 569 1-km squares across Britain stratified by ITE Land Class. Data collected in 1998/1999. ","locations":["POLYGON((-9.227 49.837, -9.227 60.85, 2.6876 60.85, 2.6876 49.837, -9.227 49.837))"],"metadataDate":"2026-05-11T18:23:46.000Z","orcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-2750-7832"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Biomathematics & Statistics Scotland (BIOSS)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-05-13T00:00:00.000Z","recordType":"Model","resourceIdentifier":["1431527379383","CEH:EIDC::1431527379383","10.5285/94ae1a5a-2a28-4315-8d4b-35ae964fc3b9","doi:10.5285/94ae1a5a-2a28-4315-8d4b-35ae964fc3b9","https://catalogue.ceh.ac.uk/id/94ae1a5a-2a28-4315-8d4b-35ae964fc3b9"],"resourceType":"Model","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from...","state":"published","supplementalName":["Manual for R Statistical Environment extensions"],"title":"MultiMOVE Model: Ensemble niche modelling of British vegetation v2.0.1","topic":["0/Modelling/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Vieno"],"authorFullName":["Vieno, M."],"authorGivenName":["M."],"authorOrcid":["https://orcid.org/0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The European Monitoring and Evaluation Program Unified Model for the UK (EMEP4UK) simulates the year 2001 to 2014 UK daily average atmospheric composition at a horizontal resolution of 5 x 5 km2. The species included in this dataset are surface daily average concentrations of: nitric oxide (NO), nitrogen dioxide (NO2), particulate matter (PM10 and PM2.5), ammonia (NH3), nitric acid (HNO3), sulphur dioxide (SO2), ammonium (NH4+), nitrate (NO3-), sulphate (SO42-), PM2.5 organic matter, and ground level ozone (O3).\n\nThe EMEP4UK model framework consists of an atmospheric chemistry transport model (ACTM) which simulates hourly to annual average atmospheric composition and deposition of various pollutants and the weather research and forecast model (WRF). Pollutants simulated include fine particulate matter (PM10, PM2.5), secondary organic aerosols (SOA), elemental carbon (EC), secondary inorganic aerosols (SIA), sulphur dioxide (SO2), ammonia (NH3), nitrogen oxides (NOx), and ground level ozone (O3). Dry and wet deposition of pollutants are also generated by the EMEP4UK. WRF is used to calculate the required meteorological input data for the ACTM.\n\nThe version of EMEP4UK used to model the 2001-2014 dataset available here is based on the EMEP Meteorological Synthesizing Centre West (MSC-W) model version rv4.4.\n\nA  version of this dataset, calculated using the EMEP model version rv4.17 and the WRF model version 3.7.1 is available at https://doi.org/10.5285/b0545f67-e47c-4077-bf3c-c5ffcd6b72c8\n\nNotes:\nOnly the simulations for the years between 2002-2012 include data for from forest fire.\nThe emissions used for simulating the years 2013 and 2014 are the same as the year 2012 (updated date will be made available as soon as 2013 and 2014 national emission inventory data have been processed).\nThe calculated year 2001-2012 use a different version of the WRF model, moreover for the year 2013 and 2014 the WRF model setup was changed as the specific Humidity is no longer nudged with re-analysis in the WRF simulation.\n\nAcknowledgements required (third-party datasets used to drive the model): The WRF model calculated meteorology uses the dataset from NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. (http://www.wrf-model.org/). National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. (http://doi.org/10.5065/D6M043C6). Emissions data from the EMEP emissions center (www.emep.int), and NAEI web site (http://naei.defra.gov.uk).","documentType":"GEMINI_DOCUMENT","familyName":["Vieno"],"fullName":["Vieno, M."],"givenName":["Massimo","M."],"identifier":"39c6e02f-11ee-44d5-b587-b225f1a99bc8","incomingCitationCount":0,"keyword":["Pollution","Climate and climate change","Modelling","Environmental risk","ammonium (NH4+)","ammonia (NH3)","ozone (O3)","sulphur dioxide (SO2)","Nitrogen dioxide","Particulate organic matter","sulphate","nitrate","European Monitoring Evaluation Programme (EMEP)"],"keywordsOther":["ammonium (NH4+)","ammonia (NH3)","ozone (O3)","sulphur dioxide (SO2)","Nitrogen dioxide","Particulate organic matter","sulphate","nitrate","European Monitoring Evaluation Programme (EMEP)"],"keywordsTheme":["Pollution","Climate and climate change","Modelling","Environmental risk"],"licence":"Open government licence","lineage":"The UK Automatic Urban and Rural monitoring Network (AURN) hourly data are used to verify the EMEP4UK model output:\n\nVieno, M., Dore, A. J., Stevenson, D. S., Doherty, R., Heal, M. R., Reis, S., Hallsworth, S., Tarrason, L., Wind, P., Fowler, D., Simpson, D., and Sutton, M. A.: Modelling surface ozone during the 2003 heat-wave in the UK, Atmospheric Chemistry and Physics, 10, 7963-7978 https://doi.org/10.5194/acp-10-7963-2010, 2010\n\nVieno, M., Heal, M. R., Williams, M. L., Carnell, E. J., Nemitz, E., Stedman, J. R., and Reis, S.: The sensitivities of emissions reductions for the mitigation of UK pm2.5, Atmos. Chem. Phys., 16, 265-276 https://doi.org/10.5194/acp-16-265-2016, 2016.\n\nThe UK Acid Gases and Aerosols Network (AGANet) monthy data are also used to verify the EMEP4UK model output:\n\nVieno, M., Heal, M. R., Hallsworth, S., Famulari, D., Doherty, R. M., Dore, A. J., Tang, Y. S., Braban, C. F., Leaver, D., Sutton, M. A., and Reis, S.: The role of long-range transport and domestic emissions in determining atmospheric secondary inorganic particle concentrations across the UK, Atmos. Chem. Phys., 14, 8435-8447 https://doi.org/10.5194/acp-14-8435-2014, 2014\n\nThe EMEP4UK model have been evaluated against other models in the Defra organised model inter-comparison:\n\nCarslaw, D. C.: Report: Defra deposition model evaluation analysis - Phase 1, London, http://uk-air.defra.gov.uk/library/reports?report_id=652, access 01/04/2015, 2011.\nCarslaw, D. C.: Report: Defra regional and transboundary model evaluation analysis - Phase 1, London, http://uk-air.defra.gov.uk/library/reports?report_id=653, access 01/04/2015, 2011.\n\nThe EMEP MSC-W from which the EMEP4UK model is derived is routinely updated and validated in EU: www.emep.int\n\nNo further QA/QC is carried out.","locations":["POLYGON((-11.637 49.007, -11.637 61.37, 4.932 61.37, 4.932 49.007, -11.637 49.007))"],"metadataDate":"2026-04-22T14:40:30.000Z","orcid":["https://orcid.org/0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-06-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/39c6e02f-11ee-44d5-b587-b225f1a99bc8"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The European Monitoring and Evaluation Program Unified Model for the UK (EMEP4UK) simulates the year 2001 to 2014 UK daily average atmospheric composition at a horizontal resolution of 5 x 5 km2. The species included in this dataset are surface daily average concentrations...","state":"published","supplementalDescription":["The EMEP MSC-W from which the EMEP4UK model is derived is routinely updated and validated"],"title":"The EMEP4UK modelled daily atmospheric composition","topic":["0/Pollution/","0/Climate and climate change/","0/Modelling/","0/Environmental risk/"],"version":1.0,"view":["public","phtr"]},{"altTitle":["SWDown WFD","Surface incident shortwave radiation WFD","Downwards short-wave radiation flux WFD"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. SWdown or surface incident shortwave radiation is the surface incident shortwave radiation measured in W/m2 at 3 hourly resolution, based on the average over the next 3 hours at the surface and at 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars"],"fullName":["Warnaars, T."],"givenName":["Tanya"],"identifier":"31dd5dd3-85b7-45f3-96a3-6e6023b0ad61","incomingCitationCount":0,"keyword":["Modelling","Hydrology","land surface","atmosphere","hydrology","meteorology"],"keywordsOther":["land surface","atmosphere","hydrology","meteorology"],"keywordsTheme":["Modelling","Hydrology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-04-22T14:40:28.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1315214218724","CEH:EIDC::1315214218724","https://catalogue.ceh.ac.uk/id/31dd5dd3-85b7-45f3-96a3-6e6023b0ad61"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"...","state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848."],"title":"WATCH forcing data (WFD) - 20th century SWdown (surface incident shortwave radiation) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Kay","Rudd","Davies","Lane","Bell"],"authorFullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"authorGivenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"authorOrcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided in gridded netCDF files. There is one file for each ensemble member and separate files for Great Britain and Northern Ireland.\n\nTo aid interpretation, two additional spatial datasets are provided: 1km x 1km grids identifying majority lake cells for (a) Great Britain, and (b) Northern Ireland. \n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.","documentType":"GEMINI_DOCUMENT","familyName":["Kay","Rudd","Davies","Lane","Bell"],"fullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"funder":["Natural Environment Research Council"],"givenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"grant":["NE/R016429/1"],"identifier":"f7142ced-f6ff-486b-af33-44fb8f763cde","incomingCitationCount":2,"keyword":["Great Britain","Northern Ireland","UK-SCAPE","Climate and climate change","Modelling","Hydrology","Grid-to-Grid","G2G","soil moisture"],"keywordsOther":["Grid-to-Grid","G2G","soil moisture"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Climate and climate change","Modelling","Hydrology"],"licence":"Open government licence","lineage":"This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031) driven by meteorological data derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections (Met Office Hadley Centre 2018, catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604). The projections comprise a 12-member perturbed parameter ensemble (PPE) of the Met Office Hadley Centre Regional Climate Model (RCM) under representative concentration pathway (RCP) scenario RCP8.5. The meteorological variables used were daily precipitation, daily min and max temperature, and daily PE (Potential evaporation) derived from other meteorological variables (using the Penman-Monteith scheme). See Supporting Information for more details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:04:45.000Z","orcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7142ced-f6ff-486b-af33-44fb8f763cde","10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde","doi:10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided...","state":"published","supplementalDescription":["V.A. Bell, A.L. Kay, R.G. Jones, R.J. Moore, N.S. Reynard, Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK, Journal of Hydrology, Volume 377, Issues 3–4, 2009, Pages 335-350, ISSN 0022-1694","Dataset used for driving data"],"supplementalName":["United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections"],"title":"Grid-to-Grid model estimates of soil moisture for Great Britain and Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080)","topic":["0/Climate and climate change/","0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["UKCEH"],"authorFamilyName":["Scheffler","Beck","Wang","Carnell","Tomlinson","Pearson","Liska","Vieno"],"authorFullName":["Scheffler, J.","Beck, R.","Wang, Y.","Carnell, E.","Tomlinson, S.","Pearson, C.","Liska, T.","Vieno, M."],"authorGivenName":["J.","R.","Y.","E.","S.","C.","T.","M."],"authorOrcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0009-0005-9645-8001","https://orcid.org/0000-0002-0411-4860","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-3274-1586","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0001-7741-9377"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model for the UK (EMEP4UK) driven by the Weather and Research Forecast model meteorology (WRF) applied to Southeast Asia.  It provides daily average concentration of ozone and PM2.5, PM10 and ozone on a 0.1° x 0.1° grid for 2019  for 2 scenarios: (1) A baseline run (BASE) including wildfire emissions and (2) A scenario without wildfire emissions (NOFF). \nThe EMEP4UK model version used here is rv5.0, and the WRF model version is 4.4.2.\nThis work was supported by the Natural Environment Research Council as part of the NC for Global Challenges programme [NE/X006247/1] delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Scheffler","Beck","Wang","Carnell","Tomlinson","Pearson","Liska","Vieno"],"fullName":["Janice Scheffler","Scheffler, J.","Beck, R.","Wang, Y.","Carnell, E.","Tomlinson, S.","Pearson, C.","Liska, T.","Vieno, M."],"funder":["Natural Environment Research Council"],"givenName":["Janice","J.","R.","Y.","E.","S.","C.","T.","M."],"grant":["NE/X006247/1"],"identifier":"b8fc9e84-c837-4ecf-a638-c0ef0900b9c3","incomingCitationCount":0,"keyword":["Pollution","Modelling","Air Quality","Atmospheric Chemistry Transport Modelling","Wildfires","Particulate Matter","Ozone"],"keywordsOther":["Air Quality","Atmospheric Chemistry Transport Modelling","Wildfires","Particulate Matter","Ozone"],"keywordsTheme":["Pollution","Modelling"],"licence":"Open government licence","lineage":"The EMEP4UK atmospheric chemistry transport model calculated daily average concentrations for a model domain covering Southeast Asia with a resolution of 0.1° x 0.1°. \nThe data are processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\nYour use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error free or fit for your intended use.\n","locations":["POLYGON((92.055 -14.944, 92.055 29.055, 158.724 29.055, 158.724 -14.944, 92.055 -14.944))"],"metadataDate":"2026-05-11T18:21:00.000Z","orcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0009-0005-9645-8001","https://orcid.org/0000-0002-0411-4860","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-3274-1586","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","UKCEH","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b8fc9e84-c837-4ecf-a638-c0ef0900b9c3","10.5285/b8fc9e84-c837-4ecf-a638-c0ef0900b9c3","doi:10.5285/b8fc9e84-c837-4ecf-a638-c0ef0900b9c3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model for the UK (EMEP4UK) driven by the Weather and Research Forecast model meteorology (WRF) applied to Southeast Asia.  It provides daily average concentration of ozone and...","state":"published","supplementalDescription":["Skamarock, W., Klemp, J., Dudhia, J., Gill, D. O., Liu, Z., Berner, J., Wang, W., Powers, J. G., Duda, M. G., Barker, D., & Huang, X.-Y. (2019). A Description of the Advanced Research WRF Model Version 4.1.","Crippa, M., Guizzardi, D., Butler, T., Keating, T., Wu, R., Kaminski, J., Kuenen, J., Kurokawa, J., Chatani, S., Morikawa, T., Pouliot, G., Racine, J., Moran, M. D., Klimont, Z., Manseau, P. M., Mashayekhi, R., Henderson, B. H., Smith, S. J., Suchyta, H., Muntean, M., Solazzo, E., Banja, M., Schaaf, E., Pagani, F., Woo, J.-H., Kim, J., Monforti-Ferrario, F., Pisoni, E., Zhang, J., Niemi, D., Sassi, M., Ansari, T., and Foley, K. (2023). The HTAP_v3 emission mosaic: merging regional and global monthly emissions (2000–2018) to support air quality modelling and policies, Earth Syst. Sci. Data, 15, 2667–2694"],"title":"European Monitoring and Evaluation Program Model for the UK (EMEP4UK) daily ozone and particulate matter surface concentration for Southeast Asia for 2019 with and without forest fire emissions","topic":["0/Pollution/","0/Modelling/"],"version":1.0,"view":["public","crimar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)"],"authorFamilyName":["Horan","Keller","Wable","Baron","Houghton-Carr","Rees"],"authorFullName":["Horan, R.","Keller, V.D.J.","Wable, P.S.","Baron, H.E.","Houghton-Carr, H.A.","Rees, H.G."],"authorGivenName":["R.","V.D.J.","P.S.","H.E.","H.A.","H.G."],"authorOrcid":["https://orcid.org/0000-0002-8304-0272","https://orcid.org/0000-0003-4489-5363","https://orcid.org/0000-0003-4685-1524","https://orcid.org/0000-0003-0070-8247","https://orcid.org/0000-0003-4465-2169","https://orcid.org/0000-0003-3300-0472"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0541a3n79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data resource contains daily time-series of simulated streamflow, ground water levels and estimated demands, from humans, livestock, irrigation and industry, across the Cauvery Basin, India. The data were generated using the Global Water Availability Assessment (GWAVA) Model 5. A baseline of 1986-2005 is presented along with two future time slices (2041-2060 and 2061-2080) for these variables. The data were produced to help predict how rapid economic development and population growth in the region would impact on future water security. The data resource was produced by the data authors.\n\nThe research was funded by NERC research grant NE/N016491/1 Upscaling Catchment Processes for Sustainable Water Management in Peninsular India","documentType":"GEMINI_DOCUMENT","familyName":["Horan","Keller","Wable","Baron","Houghton-Carr","Rees"],"fullName":["Horan, R.","Keller, V.D.J.","Wable, P.S.","Baron, H.E.","Houghton-Carr, H.A.","Rees, H.G."],"funder":["Natural Environment Research Council"],"givenName":["Robyn","R.","V.D.J.","P.S.","H.E.","H.A.","H.G."],"grant":["NE/N016491/1"],"identifier":"522309f8-59b1-4982-85df-cb3171c2a062","incomingCitationCount":1,"keyword":["India","Cauvery Basin","Modelling","General Circulation Model ","GSM","Shared Socio-economic Pathway ","SSP","demands","aquifer level","streamflow","aquifer"],"keywordsOther":["General Circulation Model ","GSM","Shared Socio-economic Pathway ","SSP","demands","aquifer level","streamflow","aquifer"],"keywordsPlace":["India","Cauvery Basin"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"The model was calibrated at 14 gauging stations across the basin against available observed streamflow using the SIMPLEX auto-calibration routine. This routine utilises four parameters (a surface and groundwater routing parameter, a probability distribution model (PDM) parameter that describes spatial variation in soil moisture capacity and a multiplier to adjust rooting depths). The model was then validated across the same 14 gauging stations (over a different time period to the calibration) and 200 groundwater observational wells.","locations":["POLYGON((72.482 8.635, 72.482 18.948, 83.82 18.948, 83.82 8.635, 72.482 8.635))"],"metadataDate":"2026-05-11T18:09:08.000Z","orcid":["https://orcid.org/0000-0002-8304-0272","https://orcid.org/0000-0003-4489-5363","https://orcid.org/0000-0003-4685-1524","https://orcid.org/0000-0003-0070-8247","https://orcid.org/0000-0003-4465-2169","https://orcid.org/0000-0003-3300-0472"],"organisation":["UK Centre for Ecology & Hydrology","International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-06-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/522309f8-59b1-4982-85df-cb3171c2a062","10.5285/522309f8-59b1-4982-85df-cb3171c2a062","doi:10.5285/522309f8-59b1-4982-85df-cb3171c2a062"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0541a3n79","https://ror.org/04xw4m193"],"shortenedDescription":"The data resource contains daily time-series of simulated streamflow, ground water levels and estimated demands, from humans, livestock, irrigation and industry, across the Cauvery Basin, India. The data were generated using the Global Water Availability Assessment...","state":"published","title":"Simulated streamflow, demands and aquifer levels in the Cauvery Basin, India, 1986-2080 using the Global Water Availability Assessment Model (GWAVA) ","topic":["0/Modelling/"],"version":1.0,"view":["public","danor"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0/Modelling/"}