58ef13a9-539f-46e5-88ad-c89274191ff9 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 2025-11-13T16:16:04 UK GEMINI 2.3 OSGB 1936 / British National Grid Historic Standardised Streamflow Index (SSI) using Tweedie distribution with standard period 1961-2010 for 303 UK catchments (1891-2015) 2018-03-12 publication 2017-03-01 creation https://catalogue.ceh.ac.uk/id/58ef13a9-539f-46e5-88ad-c89274191ff9 10.5285/58ef13a9-539f-46e5-88ad-c89274191ff9 doi: Barker, L.J., Smith, K.A., Svensson, C., Tanguy, M., Hannaford, J. (2018). Historic Standardised Streamflow Index (SSI) using Tweedie distribution with standard period 1961-2010 for 303 UK catchments (1891-2015). NERC Environmental Information Data Centre 10.5285/58ef13a9-539f-46e5-88ad-c89274191ff9 This dataset contains the Standardised Streamflow Index (SSI) data for 303 catchments across the United Kingdom from 1891 to 2015. The SSI is a drought index based on the cumulative probability of a given monthly mean streamflow occurring for a given catchment. Here, the SSI is calculated for the following accumulation periods: 1, 3, 6, 9, 12, 18 and 24 months. Each accumulation period is calculated for calendar end-months. The standard period used to fit the Tweedie distribution is 1961-2010. The SSI was produced by the RCUK-funded Historic Droughts project in order to characterise and explore hydrological drought severity over the period 1891-2015. This dataset is an outcome of the Historic Droughts Project (grant number: NE/L01016X/1). Full details about this dataset can be found at https://doi.org/10.5285/58ef13a9-539f-46e5-88ad-c89274191ff9 Barker, L. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact Barker, L.J. 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 Smith, K.A. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-1060-9103 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 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 NERC Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner notPlanned Hydrography theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication drought catchment water scarcity GEMET - Concepts, version 4.1.3 2019-01-28 creation United Kingdom GeoNames 2006-01-01 creation Historic Droughts Drought Inventory Drought Catalogue Drought Indicator SSI Standardised Streamflow Index otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © UK Centre for Ecology & Hydrology otherRestrictions If you reuse this data, you should cite: Barker, L.J., Smith, K.A., Svensson, C., Tanguy, M., Hannaford, J. (2018). Historic Standardised Streamflow Index (SSI) using Tweedie distribution with standard period 1961-2010 for 303 UK catchments (1891-2015). NERC Environmental Information Data Centre https://doi.org/10.5285/58ef13a9-539f-46e5-88ad-c89274191ff9 textTable English utf8 inlandWaters environment 1891-01-01 2015-11-01 -8.648 1.768 49.864 60.861 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/58ef13a9-539f-46e5-88ad-c89274191ff9 Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/58ef13a9-539f-46e5-88ad-c89274191ff9.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 The SSI is calculated as defined in Svensson, et al., (2017 https://doi.org/ 10.1002/2016WR019276) and is based on the cumulative probability of a given monthly mean streamflow occurring for a given catchment. Here the SSI is calculated for the following accumulation periods: 1, 3, 6, 9, 12, 18 and 24 months. The Tweedie distribution was fitted to each accumulated time series of monthly mean flows. The 'SCI' package for R was used to calculate the SSI and a new function was written to enable the SCI package to call the 'tweedie' package for R. The input data used is monthly mean streamflow derived from modelled reconstructed streamflow (Smith et al., 2018 https://doi.org/10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e). Data were exported in comma separated value files (.csv format) and ingested into the EIDC.