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dcterms:title "Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2017) [CEH-GEAR]" ;
dcterms:identifier "https://catalogue.ceh.ac.uk/id/ee9ab43d-a4fe-4e73-afd5-cd4fc4c82556","https://doi.org/10.5285/ee9ab43d-a4fe-4e73-afd5-cd4fc4c82556" ;
dcterms:bibliographicCitation "Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D.G., Keller, V.D.J. (2019). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2017) [CEH-GEAR]. NERC Environmental Information Data Centre. https://doi.org/10.5285/ee9ab43d-a4fe-4e73-afd5-cd4fc4c82556" ;
dcterms:description "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 2017. 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." ;
dcterms:provenance [
a dcterms:ProvenanceStatement ;
rdfs:label "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. This version of the CEH-GEAR dataset differs from the previous version (1890-2015) only by temporal coverage. That is, previous years' data have not been modified."
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dcterms:temporal
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dcat:startDate "1890-01-01"^^xsd:date ;
dcat:endDate "2017-12-31"^^xsd:date ;
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dcterms:available "2019-05-16"^^xsd:date ;
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dcterms:rights [ a dcterms:RightsStatement ;
odrs:copyrightNotice "copyright Database Right/Copyright UK Centre for Ecology & Hydrology. All rights reserved.";
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odrs:copyrightNotice "Contains material based on Met Éireann data copyright Met Éireann and Met Office data copyright Crown copyright.";
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dcterms:bibliographicCitation "Barnes, A, McCullen, N & Kjeldsen, T. (2019). Atmospheric origins of extreme rainfall in the UK. Paper presented at 4th IMA International Conference on Flood Risk, Swansea, UK United Kingdom, 12/09/19 - 13/09/19";
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dcterms:bibliographicCitation "Murgatroyd, A., & Hall, J. W. (2021). Selecting Indicators and Optimizing Decision Rules for Long‐Term Water Resources Planning. In Water Resources Research (Vol. 57, Issue 5). American Geophysical Union (AGU).";
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dcterms:bibliographicCitation "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).";
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dcterms:bibliographicCitation "Barnes, A.P., Svensson, C., & Kjeldsen, T.R. (2021). North Atlantic air pressure and temperature conditions associated with heavy rainfall in Great Britain. International Journal of Climatology, 42(5), 3190-3207.";
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dcterms:bibliographicCitation "Barnes, A.P., McCullen, N., & Kjeldsen, T.R. (2022). Forecasting seasonal to sub-seasonal rainfall in Great Britain using convolutional-neural networks. Theoretical and Applied Climatology, 151(1-2), 421-432.";
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