Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2017) [CHESS-met]
Robinson, E.L. ORCID: https://orcid.org/0000-0002-3746-4517; Blyth, E.M. ORCID: https://orcid.org/0000-0002-5052-238X; Clark, D.B. ORCID: https://orcid.org/0000-0003-1348-7922; Comyn-Platt, E. ORCID: https://orcid.org/0000-0001-7821-4998; Rudd, A.C. ORCID: https://orcid.org/0000-0001-5996-6115. 2020 Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2017) [CHESS-met]. NERC Environmental Information Data Centre. 19 June 2020, https://doi.org/10.5285/2ab15bf0-ad08-415c-ba64-831168be7293 [Output (Electronic)]
Full text not available from this repository.Abstract/Summary
Gridded daily meteorological variables over Great Britain for the years 1961-2017 at 1 km resolution. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), wind speed (m s-1), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), precipitation (kg m-2 s-2) and air pressure (Pa), plus daily temperature range (K). These are the variables required to run the JULES land surface model with daily disaggregation. The data are provided in gridded netCDF files. There is one file for each variable for each month of the data set. This data set supersedes the previous version as temporal coverage has been extended to include the years 2016-2017 and the netCDF metadata has been updated and improved.
Item Type: | Output (Electronic) |
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Electronic Identifier / URL / DOI: | https://doi.org/10.5285/2ab15bf0-ad08-415c-ba64-831168be7293 |
Additional Information. Not used in RCUK Gateway to Research.: | Medium: application/netcdf NetCDF type: dataset |
Additional Keywords: | air pressure, air temperature, CHESS-met, Climate and climate change, daily temperature range, downward longwave radiation, downward shortwave radiation, Hydrology, Modelling, precipitation, specific humidity, wind speed |
Date made live: | 28 Jul 2020 12:03 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/528230 |
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