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- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 17 July 2017
How feasible is it to predict Arctic climate at seasonal-to-interannual timescales? As part of the APPOSITE project a multi-model ensemble prediction experiment was conducted in order to answer...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 19 June 2018
How feasible is it to predict Arctic climate at seasonal-to-interannual timescales? As part of the APPOSITE project a multi-model ensemble prediction experiment was conducted in order to answer...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 19 June 2018
The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support for the United States Antarctic Program, Antarctic...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 17 July 2017
The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support for the United States Antarctic Program, Antarctic...
- Published by:
- United Kingdom Hydrographic Office
- Last updated:
- 19 December 2013
Predicted high and low water times and heights for a port for the current day plus the following 6 days.
- Published by:
- Environmental Information Data Centre
- Last updated:
- 29 June 2024
This dataset presents predicted soil erosion rates (t ha-1 yr-1) and its impact on topsoils, including lifespans (yr) assuming erosion rates remain constant and there is no replacement of soil;...
- Published by:
- British Geological Survey (BGS)
- Last updated:
- 03 March 2025
The raster provide the output of a machine-learning random forest algorithm modelling the occurrence of ferromanganese (Fe-Mn) crust deposits in the world ocean. This raster constitutes a...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 July 2024
Spatial predictions of substrate composition for the UK shelf and North Sea.
Compositional fractions of mud, sand and gravel were modelled for an area of
the UK and North Sea using a statistical...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 21 September 2024
Spatial predictions of substrate composition for the UK shelf and North Sea.
Compositional fractions of mud, sand and gravel were modelled for an area of
the UK and North Sea using a statistical...
- Published by:
- The Food and Environment Research Agency
- Last updated:
- 19 December 2013
Development of a predictive diagnostics package for soil borne pathogens of onions and leek crops
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 19 June 2018
"Improving our ability to predict rapid changes in the El Nino Southern Oscillation climatic phenomenon" project, which was a Natural Environment Research Council (NERC) RAPID Climate Change...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 17 July 2017
"Improving our ability to predict rapid changes in the El Nino Southern Oscillation climatic phenomenon" project, which was a Natural Environment Research Council (NERC) RAPID Climate Change...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 September 2024
In December 2020, a recent focus on the marine environment (Marine special protection areas selection process) included the classification of 12 marine special protection areas (SPAs) in Scotland...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 20 July 2024
In December 2020, a recent focus on the marine environment (Marine special protection areas selection process) included the classification of 12 marine special protection areas (SPAs) in Scotland...
- Published by:
- Department for Business, Energy and Industrial Strategy
- Last updated:
- 11 February 2016
Plume prediction modelling for radiological emergencies
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 19 June 2018
PalaeoQUMP was headed by Prof Sandy Harrison of the University of Bristol, with co-investigators at the University of Southampton and Durham University, as part of QUEST (Quantifying and...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 17 July 2017
PalaeoQUMP was headed by Prof Sandy Harrison of the University of Bristol, with co-investigators at the University of Southampton and Durham University, as part of QUEST (Quantifying and...
- Published by:
- Joint Nature Conservation Committee
- Last updated:
- 01 July 2019
Prediction of the presence of rock at outcrop or subcrop at the seabed across the UK shelf area. This shapefile was produced through a semi-automated approach, using a Random Forest model combined...
- Published by:
- British Geological Survey (BGS)
- Last updated:
- 03 March 2025
Grant: ACT ELEGANCY, Project No 271498. This repository includes CMG simulation input and output files, processed micro-CT data, figure 3 data and plot, pore network modeling sensitivity examples
- Published by:
- British Geological Survey (BGS)
- Last updated:
- 03 March 2025
Grant: ACT ELEGANCY, Project No 271498. This repository includes CMG simulation input and output files, processed micro-CT data, and pore network modelling sensitivity examples. CMG simulation,...