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Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D.G.; Keller, V.D.J.

Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]
(CEH-GEAR)

https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e
Download/Access
The updated version of the CEH-GEAR dataset adds additional years' data.
If you need access to the archived version, please contact the EIDC
1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2012. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.
Publication date: 2014-05-01
26 citations
2,970 views *

More information

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

Format

netCDF

Spatial information

Study area
Spatial representation type
Raster
Spatial reference systems
OSGB 1936 / British National Grid
OSNI 1952 / Irish National Grid
OSNI 1952

Temporal information

Temporal extent
1890-01-01    to    2012-12-31

Provenance & quality

The rainfall estimates are derived from the Met Office national database of observed precipitations. To derive the monthly estimates, monthly and daily (when complete month availabe) precipitation totals from the UK raingauge network are used. An additional quality control step (data already quality controlled by the Met Office) was introduced to check events greater than the 200 year return period. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall (SAAR61-90), was used to generate the daily and monthly rainfall grids. The daily grids are adjusted so that the monthly totals calculated from those are in agreement with the monthly grids. As an indicator of the quality of the estimates, the dataset also contains for each grid generated a grid containing the distance to the closest raingauge used to interpolate the grid point. A grid containing the number of missing estimates for each year is also provided. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.

Licensing and constraints

The updated version of the CEH-GEAR dataset adds additional years' data.
If you need access to the archived version, please contact the EIDC

Licence terms and conditions apply

Cite this dataset as:
Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D.G.; Keller, V.D.J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC Environmental Information Data Centre. https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e

BibTeX RIS

Citations

Robinson, E. L., Blyth, E. M., Clark, D. B., Finch, J., & Rudd, A. C. (2017). Trends in atmospheric evaporative demand in Great Britain using high-resolution meteorological data. Hydrology and Earth System Sciences, 21(2), 1189–1224. https://doi.org/10.5194/hess-21-1189-2017
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: 1 km resolution daily and monthly areal rainfall estimates for the UK for hydrological and other applications. Earth System Science Data, 7(1), 143–155. https://doi.org/10.5194/essd-7-143-2015
Sharps, K., Masante, D., Thomas, A., Jackson, B., Redhead, J., May, L., … Jones, L. (2017). Comparing strengths and weaknesses of three ecosystem services modelling tools in a diverse UK river catchment. Science of The Total Environment, 584–585, 118–130. https://doi.org/10.1016/j.scitotenv.2016.12.160
Crooks, S. M., & Kay, A. L. (2015). Simulation of river flow in the Thames over 120 years: Evidence of change in rainfall-runoff response? Journal of Hydrology: Regional Studies, 4, 172–195. https://doi.org/10.1016/j.ejrh.2015.05.014
Prudhomme, C., Sauquet, E., & Watts, G. (2015). Low Flow Response Surfaces for Drought Decision Support: A Case Study from the UK. Journal of Extreme Events, 2(2), 1550005 https://doi.org/10.1142/S2345737615500050
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Hutchins, M. G., Abesser, C., Prudhomme, C., Elliott, J. A., Bloomfield, J. P., Mansour, M. M., & Hitt, O. E. (2018). Combined impacts of future land-use and climate stressors on water resources and quality in groundwater and surface waterbodies of the upper Thames river basin, UK. Science of The Total Environment, 631–632, 962–986. https://doi.org/10.1016/j.scitotenv.2018.03.052
Gadian, A. M., Blyth, A. M., Bruyere, C. L., Burton, R. R., Done, J. M., Groves, J., … Warner, J. L. (2017). A case study of possible future summer convective precipitation over the UK and Europe from a regional climate projection. International Journal of Climatology, 38(5), 2314–2324. https://doi.org/10.1002/joc.5336
Chiverton, A., Hannaford, J., Holman, I. P., Corstanje, R., Prudhomme, C., Hess, T. M., & Bloomfield, J. P. (2015). Using variograms to detect and attribute hydrological change. Hydrology and Earth System Sciences, 19(5), 2395–2408. https://doi.org/10.5194/hess-19-2395-2015
Munro, K., Martins, C. P. B., Loewenthal, M., Comber, S., Cowan, D. A., Pereira, L., & Barron, L. P. (2019). Evaluation of combined sewer overflow impacts on short-term pharmaceutical and illicit drug occurrence in a heavily urbanised tidal river catchment (London, UK). Science of The Total Environment, 657, 1099–1111. https://doi.org/10.1016/j.scitotenv.2018.12.108
Parry, S., Wilby, R., Prudhomme, C., Wood, P., & McKenzie, A. (2018). Demonstrating the utility of a drought termination framework: prospects for groundwater level recovery in England and Wales in 2018 or beyond. Environmental Research Letters, 13(6), 64040. https://doi.org/10.1088/1748-9326/aac78c
Lewis, E., Birkinshaw, S., Kilsby, C., & Fowler, H. J. (2018). Development of a system for automated setup of a physically-based, spatially-distributed hydrological model for catchments in Great Britain. Environmental Modelling & Software, 108, 102–110. https://doi.org/10.1016/j.envsoft.2018.07.006
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
Muhammed, S. E., Coleman, K., Wu, L., Bell, V. A., Davies, J. A. C., Quinton, J. N., … Whitmore, A. P. (2018). Impact of two centuries of intensive agriculture on soil carbon, nitrogen and phosphorus cycling in the UK. Science of The Total Environment, 634, 1486–1504. https://doi.org/10.1016/j.scitotenv.2018.03.378
Lane, R.A., Coxon, G., Freer, J.E., Wagener, T., Johnes, P.J., Bloomfield, J.P., … Reaney, S.M. (2019). Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain. Hydrology and Earth System Sciences, 23(10), 4011–4032. https://doi.org/10.5194/hess-23-4011-2019
Lane, R. A., Freer, J. E., Coxon, G., & Wagener, T. (2021). Incorporating Uncertainty Into Multiscale Parameter Regionalization to Evaluate the Performance of Nationally Consistent Parameter Fields for a Hydrological Model. In Water Resources Research (Vol. 57, Issue 10). American Geophysical Union (AGU). https://doi.org/10.1029/2020wr028393
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Correspondence/contact details

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

Authors

Tanguy, M.
Centre for Ecology & Hydrology
Dixon, H.
Centre for Ecology & Hydrology
ORCID iD icon https://orcid.org/0000-0002-7415-063X
Prosdocimi, I.
Centre for Ecology & Hydrology
ORCID iD icon https://orcid.org/0000-0001-8565-094X
Morris, D.G.
Centre for Ecology & Hydrology
Keller, V.D.J.
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
Originator
Keller, V.
Centre for Ecology & Hydrology
 enquiries@ceh.ac.uk

Additional metadata

Topic categories
climatologyMeteorologyAtmosphere
INSPIRE theme
Meteorological geographical features
Keywords
Climate and climate change , Great Britain , Northern Ireland , United Kingdom