d201a2af-568e-4195-bf02-961fb6954c72 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2026-02-06T14:12:46 UK GEMINI 2.3 OSGB 1936 / British National Grid Gridded Standardized Precipitation-Evapotranspiration Index (SPEI) using generalised logistic distribution with standard period 1961-2010 for Great Britain [SPEIgenlog61-10] 2015-11-09 publication 2015-10-01 creation https://catalogue.ceh.ac.uk/id/d201a2af-568e-4195-bf02-961fb6954c72 10.5285/d201a2af-568e-4195-bf02-961fb6954c72 doi: Tanguy, M., Hannaford, J., Barker, L., Svensson, C., Kral, F., Fry, M. (2015). Gridded Standardized Precipitation-Evapotranspiration Index (SPEI) using generalised logistic distribution with standard period 1961-2010 for Great Britain [SPEIgenlog61-10]. NERC Environmental Information Data Centre 10.5285/d201a2af-568e-4195-bf02-961fb6954c72 1km and 5km gridded Standardised Precipitation-Evapotranspiration Index (SPEI) data for Great Britain, which is a drought index based on the probability of Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration - for a given accumulation period as defined by Vicente Serrano et al. (2010). SPEI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the generalised logistic distribution is 1961-2010. The dataset covers the period from 1961 to 2012. Full details about this dataset can be found at https://doi.org/10.5285/d201a2af-568e-4195-bf02-961fb6954c72 Tanguy, M. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact Tanguy, M. Centre for Ecology & Hydrology enquiries@ceh.ac.uk originator Tanguy, M. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-1516-6834 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Hannaford, J. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-5256-3310 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Barker, L. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-2913-0664 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Svensson, C. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-9294-5826 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Kral, F. Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Fry, M. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-1142-4039 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher notPlanned Meteorological geographical features theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication drought rain evapotranspiration atmospheric precipitation GEMET - Concepts, version 4.1.3 2019-01-28 creation Environmental risk Modelling SPEI indicator gridded data rainfall extremes climatic water balance otherRestrictions Registration is required to access this data otherRestrictions License terms and conditions apply otherRestrictions If you reuse this data, you should cite: Tanguy, M., Hannaford, J., Barker, L., Svensson, C., Kral, F., Fry, M. (2015). Gridded Standardized Precipitation-Evapotranspiration Index (SPEI) using generalised logistic distribution with standard period 1961-2010 for Great Britain [SPEIgenlog61-10]. NERC Environmental Information Data Centre https://doi.org/10.5285/d201a2af-568e-4195-bf02-961fb6954c72 grid 1000 5000 English utf8 climatologyMeteorologyAtmosphere 1961-01-01 2012-12-31 -7.557 3.554 49.766 61.026 netCDF 4 NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/d201a2af-568e-4195-bf02-961fb6954c72 Access and download the raw data files fileAccess https://data-package.ceh.ac.uk/sd/d201a2af-568e-4195-bf02-961fb6954c72.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 SPEI is calculated as originally defined in [1]. SPEI is based on the cumulative probability of a given Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration - occurring at a location. The historic CWB data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the generalised logistic distribution, which is recommended by [1]. The Maximum Likelihood method was used to estimate the generalised logistic distribution parameters. To calculate SPEI, the R package SCI was used [4]. The input data used is the monthly rainfall grids from CEH-Gridded Estimates of Areal Rainfall [CEH-GEAR] ([4], [5]), and CHESS PET data ([6],[7]). [1] Vicente-Serrano, S. M., Beguería, S., López-Moreno, J. I. (2010) A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. J. Climate, 23, 1696-1718. [2] Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F. and Stahl, K. (2015), Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int. J. Climatol. https://doi.org/10.1002/joc.4267 [3] Gudmundsson, L. & Stagge, J. H. (2014). Package 'SCI': Standardized Climate Indices such as SPI, SRI or SPEI. Repository CRAN, http://cran.r-project.org/web/packages/SCI/SCI.pdf [4] 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 [5] 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. [6] Robinson, E. L., Blyth, E., Clark, D. B., Finch, J., Rudd, A. C. (in preparation), Trends in evaporative demand in Great Britain using high-resolution meteorological data [7] Robinson, E.L.; Blyth, E.; Clark, D.B.; Finch, J.; Rudd, A.C. (2015). Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2012) [CHESS-PE]. NERC Environmental Information Data Centre. https://doi.org/10.5285/d329f4d6-95ba-4134-b77a-a377e0755653