Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2017) [CHESS-met]

https://doi.org/10.5285/2ab15bf0-ad08-415c-ba64-831168be7293

Supporting docs Cite this dataset

THIS DATASET HAS BEEN SUPERSEDED The latest version is Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2019) [CHESS-met]

If you need access to the archived version, please contact the EIDC

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.

Publication date: 2020-06-19

5 citations

203 downloads *

3,564 views *

More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

NetCDF

Spatial information

Study area

Spatial representation type

Raster

Spatial reference system

OSGB 1936 / British National Grid

Temporal information

Temporal extent

1961-01-01 to 2017-12-31

Provenance & quality

This data set has been generated from a number of meteorological input data sets. The precipitation data were obtained by scaling the CEH-GEAR daily rainfall estimates to the units required for JULES input. Other variables were interpolated from coarser resolution MORECS, CRU TS and WATCH forcing data variables, taking into account topographic information. A full list of input data sources and a description of the methodology are available in the supporting documentation.

Licensing and constraints

THIS DATASET HAS BEEN SUPERSEDED The latest version is Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2019) [CHESS-met]

If you need access to the archived version, please contact the EIDC

Licence terms and conditions apply

Cite this dataset as:

Robinson, E.L.; Blyth, E.M.; Clark, D.B.; Comyn-Platt, E.; Rudd, A.C. (2020). Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2017) [CHESS-met]. NERC Environmental Information Data Centre. https://doi.org/10.5285/2ab15bf0-ad08-415c-ba64-831168be7293

BibTeX RIS

The following acknowledgement and copyright notice (where applicable), shall, unless otherwise stated, be used on all copies of the Data, publications and reports, including but not limited to, use in presentations to any audience: "Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2017) [CHESS-met] data licensed from UK Centre for Ecology & Hydrology. © Database Right/Copyright UK Centre for Ecology & Hydrology. All rights reserved. Contains material based on Met Éireann data © Met Éireann, Met Office and OS data © Crown copyright and database right 2017 and University of East Anglia Climatic Research Unit © CRU"

Services associated with this dataset

Daily estimates for meteorological and potential evapotranspiration variables (CHESS) and soil moisture estimates (JULES) at COSMOS-UK sites, 2013-2017

Estimates of daily river flows for 95 catchments in Great Britain from the GR6J model under present and future climate scenarios, using large ensemble climate model driving data

Citations

Kay, A.L., Rudd, A.C., & Coulson, J. (2023). Spatial downscaling of precipitation for hydrological modelling: Assessing a simple method and its application under climate change in Britain. In Hydrological Processes (Vol. 37, Issue 2). Wiley. https://doi.org/10.1002/hyp.14823

Chan, W.C.H., Shepherd, T.G., Facer-Childs, K., Darch, G., & Arnell, N.W. (2022). Storylines of UK drought based on the 2010-2012 event. Hydrology and Earth System Sciences, 26(7), 1755-1777. https://doi.org/10.5194/hess-26-1755-2022

Argles, A.P.K., Robertson, E., Harper, A.B., et al. (2023) Modelling the impact of forest management and CO2-fertilisation on growth and demography in a Sitka spruce plantation. Scientific Reports 13. https://doi.org/10.1038/s41598-023-39810-2

Corcoran, E., Afshar, M., Curceac, S., Lashkari, A., Raza, M.M., Ahnert, S., Mead, A., & Morris, R. (2023). Current data and modeling bottlenecks for predicting crop yields in the United Kingdom. In Frontiers in Sustainable Food Systems (Vol. 7). Frontiers Media SA. https://doi.org/10.3389/fsufs.2023.1023169

Tso, C.-H.M., Blyth, E., Tanguy, M., Levy, P.E., Robinson, E.L., Bell, V., Zha, Y., & Fry, M. (2023). Multiproduct Characterization of Surface Soil Moisture Drydowns in the United Kingdom. In Journal of Hydrometeorology (Vol. 24, Issue 12, pp. 2299–2319). American Meteorological Society. https://doi.org/10.1175/jhm-d-23-0018.1

Supplemental information

Trends in atmospheric evaporative demand in Great Britain using high-resolution meteorological data

This article cites a superseded version of this dataset.

Trends in evapotranspiration and its drivers in Great Britain: 1961 to 2015

This article cites a superseded version of this dataset.