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Robinson, E.L.; Blyth, E.; Clark, D.B.; Comyn-Platt, E.; Finch, J.; Rudd, A.C.

Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2015) [CHESS-met] v1.2

Download/Access

THIS DATASET HAS BEEN SUPERSEDED

The new release extends the dataset to cover the years 2016-17. The file metadata has been improved, including the projection information.

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

https://doi.org/10.5285/b745e7b1-626c-4ccc-ac27-56582e77b900
1km resolution gridded meteorological variables over Great Britain for the years 1961-2015. 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 [1] with daily disaggregation.

The precipitation data were obtained by scaling the Gridded estimates of daily and monthly areal rainfall (CEH-GEAR) daily rainfall estimates [2,3] to the units required for JULES input. Other variables were interpolated from coarser resolution datasets, taking into account topographic information.

This release supersedes the previous version [4], doi:10.5285/10874370-bc58-4d23-a118-ea07df8a07f2, as it corrects errors in the air pressure and daily temperature range files for 2013-2015.

[1] Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M., Grimmond, C. S. B., and Harding, R. J.: The Joint UK Land Environment Simulator (JULES), model description - Part 1: Energy and water fluxes, Geoscientific Model Development, 4, 677-699. https://doi.org/10.5194/gmd-4-677-2011, 2011.
[2] Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D. G.; Keller, V. D. J. (2016). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2015) [CEH-GEAR]. NERC Environmental Information Data Centre. https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca
[3] Keller,V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112. https://doi.org/10.5194/essdd-8-83-2015.
[4] Robinson, E.L., Blyth, E., Clark, D.B., Comyn-Platt, E., Finch, J. , Rudd, A.C. (2016). Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2015) [CHESS-met]. NERC Environmental Information Data Centre. https://doi.org/10.5285/10874370-bc58-4d23-a118-ea07df8a07f2
Publication date: 2017-02-07

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    2015-12-31

Provenance & quality

The precipitation was obtained by scaling the daily rainfall estimates from the CEH-Gridded Estimates of Areal Rainfall (CEH-GEAR) dataset [1,2] to units of kg m-2 s-1. The Met Office Rainfall Evaporation Calculation System (MORECS) [3,4] air temperature and vapour pressure, and hours of bright sunshine were interpolated to 1km resolution, then corrected for the local topography using the Integrated Hydrological Digital Terrain Model (IHDTM) [5] to find the CHESS-met air temperature (K), specific humidity (kg kg-1) and downward long- and shortwave radiation (W m-2). The wind speed (m s-1) was found by interpolating the MORECS wind speed, then correcting for topography using the UK Energy Technology Support Unit (ETSU) average wind speed dataset [6,7]. The daily temperature range (K) was reprojected from the CRU TS 3.21 (1961-2012) and CRU TS 3.24 (2013-2015) monthly data [8,9]. The air pressure (Pa) was found by calculating a climatology of the WATCH Forcing Data (WFD) air pressure [10], then correcting for topography using the IHDTM. The data were created using software developed in Fortran 95 and python.

This version of the CHESS-met dataset corrects errors in the previous version [11], which were:
a) surface air pressure files for 2013-2015 had incorrect time coordinate variable
b) daily temperature range values for 2013-2015 were erroneous due to a binary conversion error

These errors have been corrected in this release. All other files remain unchanged.

[1] Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D. G.; Keller, V. D. J. (2016). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2015) [CEH-GEAR]. NERC Environmental Information Data Centre. https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca
[2] Keller,V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112. https://doi.org/10.5194/essdd-8-83-2015.
[3] Thompson, N., Barrie, I. A., and Ayles, M.: The Meteorological Office rainfall and evaporation calculation system: MORECS, Meteorological Office, Bracknell, 1981.
[4] Hough, M. N., and Jones, R. J. A.: The United Kingdom Meteorological Office rainfall and evaporation calculation system: MORECS version 2.0-an overview, Hydrology and Earth System Sciences, 1, 227-239, 10.5194/hess-1-227-1997, 1997.
[5] Morris, D. G., and Flavin, R. W.: A digital terrain model for hydrology., Proceedings of the 4th International Symposium on Spatial Data Handling, 1, 250-262, 1990.
[6] Newton, K., and Burch, S. F.: Estimation of the UK wind energy resource using computer modelling techniques and map data, Energy Technology Support Unit, 50, 1985.
[7] Burch, S. F., and Ravenscroft, F.: Computer modelling of the UK wind energy resource: Final overview report., AEA Industrial Technology, 1992.
[8] CRU TS3.21: Climatic Research Unit (CRU) Time-Series (TS) Version 3.21 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2012). 2013.
[9] Harris, I., Jones, P. D., Osborn, T. J., and Lister, D. H.: Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset, International Journal of Climatology, 34, 623-642, https://doi.org/10.1002/Joc.3711, 2014.
[10] Weedon, G. P., Gomes, S., Viterbo, P., Shuttleworth, W. J., Blyth, E., Osterle, H., Adam, J. C., Bellouin, N., Boucher, O., and Best, M.: 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, 823-848, https://doi.org/10.1175/2011jhm1369.1, 2011.
[11] Robinson, E.L., Blyth, E., Clark, D.B., Comyn-Platt, E., Finch, J. , Rudd, A.C. (2016). Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2015) [CHESS-met]. NERC Environmental Information Data Centre. https://doi.org/10.5285/10874370-bc58-4d23-a118-ea07df8a07f2

Licensing and constraints

THIS DATASET HAS BEEN SUPERSEDED

The new release extends the dataset to cover the years 2016-17. The file metadata has been improved, including the projection information.

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

Licence terms and conditions apply

Cite this dataset as:
Robinson, E.L.; Blyth, E.; Clark, D.B.; Comyn-Platt, E.; Finch, J.; Rudd, A.C. (2017). Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2015) [CHESS-met] v1.2. NERC Environmental Information Data Centre. https://doi.org/10.5285/b745e7b1-626c-4ccc-ac27-56582e77b900

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 (1961-2015) [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 2015 and University of East Anglia Climatic Research Unit © CRU"

Citations

Tanguy, M., Prudhomme, C., Smith, K., & Hannaford, J. (2018). Historical gridded reconstruction of potential evapotranspiration for the UK. Earth System Science Data, 10(2), 951–968. https://doi.org/10.5194/essd-10-951-2018
Lloyd, C.E.M., Johnes, P. J., Freer, J.E., Carswell, A.M., Jones, J.I., Stirling, M.W., … Collins, A. L. (2019). Determining the sources of nutrient flux to water in headwater catchments: Examining the speciation balance to inform the targeting of mitigation measures. Science of The Total Environment, 648, 1179–1200. https://doi.org/10.1016/j.scitotenv.2018.08.190
Martínez-de la Torre, A., Blyth, E.M., & Weedon, G.P. (2019). Using observed river flow data to improve the hydrological functioning of the JULES land surface model (vn4.3) used for regional coupled modelling in Great Britain (UKC2). Geoscientific Model Development, 12(2), 765–784. https://doi.org/10.5194/gmd-12-765-2019
Myrgiotis, V., Williams, M., Rees, R.M., & Topp, C.F.E. (2019). Estimating the soil N2O emission intensity of croplands in northwest Europe. Biogeosciences, 16(8), 1641–1655. https://doi.org/10.5194/bg-16-1641-2019
Coxon, G., Addor, N., Bloomfield, J.P., Freer, J., Fry, M., Hannaford, J., Howden, N.J.K., Lane, R., Lewis, M., Robinson, E.L., Wagener, T., & Woods, R. (2020). CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain. Earth System Science Data, 12(4), 2459–2483. https://doi.org/10.5194/essd-12-2459-2020
Ridding, L.E., Newton, A. C., Redhead, J.W., Watson, S.C.L., Rowland, C.S., & Bullock, J.M. (2020). Modelling historical landscape changes. In Landscape Ecology (Vol. 35, Issue 12, pp. 2695–2712). Springer Science and Business Media LLC. https://doi.org/10.1007/s10980-020-01059-9
Redhead, J. W., Powney, G. D., Woodcock, B. A., & Pywell, R. F. (2020). Effects of future agricultural change scenarios on beneficial insects. In Journal of Environmental Management (Vol. 265, p. 110550). Elsevier BV. https://doi.org/10.1016/j.jenvman.2020.110550
Revill, A., Myrgiotis, V., Florence, A., Hoad, S., Rees, R., MacArthur, A., & Williams, M. (2021). Combining Process Modelling and LAI Observations to Diagnose Winter Wheat Nitrogen Status and Forecast Yield. In Agronomy (Vol. 11, Issue 2, p. 314). MDPI AG. https://doi.org/10.3390/agronomy11020314
Comber, A., Collins, A. L., Haro-Monteagudo, D., Hess, T., Zhang, Y., Smith, A., & Turner, A. (2019). A Generic Approach for Live Prediction of the Risk of Agricultural Field Runoff and Delivery to Watercourses: Linking Parsimonious Soil-Water-Connectivity Models With Live Weather Data Apis in Decision Tools. In Frontiers in Sustainable Food Systems (Vol. 3). Frontiers Media SA. https://doi.org/10.3389/fsufs.2019.00042
Krivtsov, V., Forbes, H., Birkinshaw, S., Olive, V., Chamberlain, D., Buckman, J., Yahr, R., Arthur, S., Christie, D., Monteiro, Y., & Diekonigin, C. (2022). Ecosystem services provided by urban ponds and green spaces: a detailed study of a semi-natural site with global importance for research. In Blue-Green Systems (Vol. 4, Issue 1, pp. 1–23). IWA Publishing. https://doi.org/10.2166/bgs.2022.021
Chen, S., & Ruan, X. (2023). A hybrid Budyko-type regression framework for estimating baseflow from climate and catchment attributes. In Journal of Hydrology (Vol. 618, p. 129118). Elsevier BV. https://doi.org/10.1016/j.jhydrol.2023.129118
Brown, C., Seo, B., Alexander, P., Burton, V., Chacón‐Montalván, E.A., Dunford, R., Merkle, M., Harrison, P.A., Prestele, R., Robinson, E. L., & Rounsevell, M. (2022). Agent‐Based Modeling of Alternative Futures in the British Land Use System. In Earth’s Future (Vol. 10, Issue 11) https://doi.org/10.1029/2022ef002905
Baker, E., Harper, A.B., Williamson, D., & Challenor, P. (2022). Emulation of high-resolution land surface models using sparse Gaussian processes with application to JULES.Geoscientific Model Development, 15(5), 1913-1929. https://doi.org/10.5194/gmd-15-1913-2022
Murgatroyd, A., Gavin, H., Becher, O., Coxon, G., Hunt, D., Fallon, E., Wilson, J., Cuceloglu, G., & Hall, J.W. (2022). Strategic analysis of the drought resilience of water supply systems. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2238). https://doi.org/10.1098/rsta.2021.0292
Browning, E., Freeman, R., Boughey, K.L., Isaac, N.J.B., & Jones, K.E. (2022). Accounting for spatial autocorrelation and environment are important to derive robust bat population trends from citizen science data. Ecological Indicators, 136, 108719. https://doi.org/10.1016/j.ecolind.2022.108719
Stański, K., Lycett, S., Porphyre, T., & Bronsvoort, B.M.de C. (2021). Using machine learning improves predictions of herd-level bovine tuberculosis breakdowns in Great Britain. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-81716-4
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Goodwin, C.E.D., Bütikofer, L., Hatfield, J.H., Evans, P.M., Bullock, J.M., Storkey, J., Mead, A., Richter, G.M., Henrys, P.A., Pywell, R.F., & Redhead, J.W. (2022). Multi-tier archetypes to characterise British landscapes, farmland and farming practices. Environmental Research Letters, 17(9), 095002. https://doi.org/10.1088/1748-9326/ac810e
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Oyesiku-Blakemore, J., Dondini, M. (2022). Managing permanent grasslands for carbon sequestration in Scottish soils. ClimateXChange. https://www.climatexchange.org.uk/projects/managing-permanent-grasslands-for-carbon-sequestration-in-scottish-soils/
Wiltshire, J., Freeman, D., Willcocks, J. & Wood, C. (2021). The potential for leguminous crops in Scotland. ClimateXChange. https://www.climatexchange.org.uk/projects/the-potential-for-leguminous-crops-in-scotland/
May, L., Taylor, P., Gunn, I.D.M., Thackeray, S.J., Carvalho, L.R., Hunter, P., Corr, M., Dobel, A.J., Grant, A., Nash, G., Robinson, E. & Spears, B.M. (2022). Assessing climate change impacts on the water quality of Scottish standing waters | CREW | Scotland's Centre of Expertise for Waters. Center of Expertise for Waters. https://www.crew.ac.uk/publication/assessing-climate-change-impacts-water-quality-scottish-standing-waters

Supplemental information

1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland from 1890 to 2015, used for the CHESS-met precipitation variable.

Correspondence/contact details

Emma Robinson
UK Centre for Ecology & Hydrology
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
 enquiries@ceh.ac.uk

Authors

Robinson, E.L.
Centre for Ecology & Hydrology
Blyth, E.
Centre for Ecology & Hydrology
Clark, D.B.
Centre for Ecology & Hydrology
Comyn-Platt, E.
Centre for Ecology & Hydrology
Finch, J.
Centre for Ecology & Hydrology
Rudd, A.C.
Centre for Ecology & Hydrology

Other contacts

Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
climatologyMeteorologyAtmosphere
INSPIRE theme
Meteorological geographical features
Keywords
, air pressure , air temperature , atmospheric humidity , atmospheric precipitation , Climate and climate change , Climate Scenarios , Geospatial / Map , Great Britain , gridded data , longwave radiation , Modelling , National , rain , rainfall , shortwave radiation , specific humidity , Time Series , wind , wind speed
Last updated
12 September 2024 10:39