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This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2) for a well-watered grass and daily total potential evapotranspiration with interception correction (PETI; kg m-2).\n\nThe data are provided in gridded netCDF files. There is one file for each variable for each month of the data set.\n\nThis data set supersedes the previous version as bugs in the calculation of the variables have been fixed (for all years), temporal coverage of both variables has been extended to include the years 2016-2017 and the netCDF metadata has been updated and improved.","distributionFormats":[{"name":"NetCDF","type":"application/netcdf","version":"4"}],"distributorContacts":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"distributor","email":"info@eidc.ac.uk"}],"id":"9116e565-2c0a-455b-9c68-558fdd9179ad","incomingCitationCount":11,"incomingCitations":[{"description":"Murgatroyd, A., & Hall, J.W. (2020). The Resilience of Inter-basin Transfers to Severe Droughts With Changing Spatial Characteristics. Frontiers in Environmental Science, 8.","url":"https://doi.org/10.3389/fenvs.2020.571647","type":"academic"},{"description":"Cooper, H. M., Bennett, E., Blake, J., Blyth, E., Boorman, D., Cooper, E., Evans, J., Fry, M., Jenkins, A., Morrison, R., Rylett, D., Stanley, S., Szczykulska, M., Trill, E., Antoniou, V., Askquith-Ellis, A., Ball, L., Brooks, M., Clarke, M. A., … Winterbourn, B. (2021). COSMOS-UK: national soil moisture and hydrometeorology data for environmental science research. In Earth System Science Data (Vol. 13, Issue 4, pp. 1737–1757). Copernicus GmbH.","url":"https://doi.org/10.5194/essd-13-1737-2021","type":"academic"},{"description":"Birkinshaw, S. J., O’Donnell, G., Glenis, V., & Kilsby, C. (2021). Improved hydrological modelling of urban catchments using runoff coefficients. In Journal of Hydrology (Vol. 594, p. 125884). Elsevier BV. ","url":"https://doi.org/10.1016/j.jhydrol.2020.125884","type":"academic"},{"description":"Monger, F., Spracklen, D., Kirkby, M., & Schofield, L. (2022). The impact of semi‐natural broadleaf woodland and pasture on soil properties and flood discharge. In Hydrological Processes (Vol. 36, Issue 1). Wiley.","url":"https://doi.org/10.1002/hyp.14453","type":"academic"},{"description":"Gosal, A. S., Evans, P. M., Bullock, J. M., Redhead, J., Charlton, M. B., Cord, A. F., Johnson, A., & Ziv, G. (2022). Understanding the accuracy of modelled changes in freshwater provision over time. In Science of The Total Environment (Vol. 833, p. 155042). Elsevier BV.","url":"https://doi.org/10.1016/j.scitotenv.2022.155042","type":"academic"},{"description":"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.","url":"https://doi.org/10.1002/hyp.14823","type":"academic"},{"description":"Reyniers, N., Osborn, T.J., Addor, N. & Darch, G. (2023) Projected changes in droughts and extreme droughts in Great Britain strongly influenced by the choice of drought index. Hydrology and Earth System Sciences 27, 1151–1171.","url":"https://doi.org/10.5194/hess-27-1151-2023","type":"academic"},{"description":"Collins, S.L., Verhoef, A., Mansour, M., Jackson, C.R., Short, C. & Macdonald, D.M.J. (2023) Modelling the effectiveness of land‐based natural flood management in a large, permeable catchment. Journal of Flood Risk Management 16.","url":"https://doi.org/10.1111/jfr3.12896","type":"academic"},{"description":"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.","url":"https://doi.org/10.1175/jhm-d-23-0018.1","type":"academic"},{"description":"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.","url":"https://www.crew.ac.uk/publication/assessing-climate-change-impacts-water-quality-scottish-standing-waters","type":"policy"},{"description":"Center of Expertise for Waters (2024).   Mitigating climate change impacts on the water quality of Scottish standing waters.","url":"https://www.crew.ac.uk/publication/mitigating-climate-change-phase-2","type":"policy"}],"infoLinks":[{"url":"https://data-package.ceh.ac.uk/sd/9116e565-2c0a-455b-9c68-558fdd9179ad.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","type":"OTHER"}],"inspireThemes":[{"theme":"Meteorological geographical features","uri":"http://inspire.ec.europa.eu/theme/mf"}],"keywordsOther":[{"value":"evapotranspiration","uri":"http://www.eionet.europa.eu/gemet/concept/3022"}],"keywordsTheme":[{"value":"Climate and climate change","uri":"http://onto.nerc.ac.uk/CEHMD/topic/4"},{"value":"Modelling","uri":"http://onto.nerc.ac.uk/CEHMD/topic/13"},{"value":"Hydrology","uri":"http://onto.nerc.ac.uk/CEHMD/topic/9"}],"licences":[{"value":"Licence terms and conditions apply","code":"license","uri":"https://eidc.ac.uk/licences/chesspe/plain"}],"lineage":"This data set is derived from the CHESS-met meteorological variables. The daily total potential evapotranspiration (PET; kg m-2) is calculated using a version of the Penman-Monteith equation parameterised for FAO-defined well-watered grass. The daily total potential evapotranspiration with interception correction (PETI; kg m-2), adds a correction for interception by a well-watered grass on rain days. 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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\" ","code":"otherRestrictions"}]}