26ce15dd-f994-40e0-8a09-5f257cc1f2ab 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 2025-11-13T16:25:36 UK GEMINI 2.3 OSGB 1936 / British National Grid Peak flow and probability of exceedance data for Grid-to-Grid modelled widespread flooding events across mainland GB from 1980-2010 and 2050-2080 2022-06-27 publication https://catalogue.ceh.ac.uk/id/26ce15dd-f994-40e0-8a09-5f257cc1f2ab 10.5285/26ce15dd-f994-40e0-8a09-5f257cc1f2ab doi: Griffin, A., Kay, A., Bell, V.A., Stewart, E.J., Sayer, P., Carr, S. (2022). Peak flow and probability of exceedance data for Grid-to-Grid modelled widespread flooding events across mainland GB from 1980-2010 and 2050-2080. NERC EDS Environmental Information Data Centre 10.5285/26ce15dd-f994-40e0-8a09-5f257cc1f2ab This dataset is a set of 24 gridded netcdf files, each including data describing a total of 14,400 widespread flooding events across mainland GB, with event selection based on a peaks-over-threshold approach. The data describes peak river flow in m3/s and the associated annual probability of exceedance for each 1km grid-square on the GB river network. The data is extracted from daily time series data from the Grid-to-Grid model, using UKCP18 12km regional projections from 12 members of a perturbed parameter ensemble, over the periods Dec 1980 – Nov 2010 and Dec 2050 – Nov 2080 (based on 360-day years). Multi-day events were summarised by taking cell-wise flow maxima. This data was generated for use in analysis of risk through catastrophe modelling using the Future Flows Explorer. It was generated and interpreted by UKCEH, working with Sayers & Partners Consultancy, as part of the AquaCAT project, part of the UK Climate Resilience Programme. Full details about this dataset can be found at https://doi.org/10.5285/26ce15dd-f994-40e0-8a09-5f257cc1f2ab Griffin, A. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact Griffin, A. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-8645-4561 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 Kay, A. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-5526-1756 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 Bell, V.A. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-0792-5650 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 Stewart, E.J. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-4246-6645 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 Sayer, P. Sayers and Partners Consultancy Paul.sayers@sayersandpartners.co.uk https://orcid.org/0000-0003-2160-1959 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 Carr, S. Sayers and Partners Consultancy Sam.carr@sayersandpartners.co.uk author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner Sayers and Partners Consultancy Paul.sayers@sayersandpartners.co.uk owner Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Hydrology Environmental risk Flood frequency otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Griffin, A., Kay, A., Bell, V.A., Stewart, E.J., Sayer, P., Carr, S. (2022). Peak flow and probability of exceedance data for Grid-to-Grid modelled widespread flooding events across mainland GB from 1980-2010 and 2050-2080. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/26ce15dd-f994-40e0-8a09-5f257cc1f2ab textTable vector 1000 English utf8 environment 1980-12-01 2080-11-30 -8.648 1.768 49.864 60.861 Comma-separated values (CSV) Shapefile NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/26ce15dd-f994-40e0-8a09-5f257cc1f2ab Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/26ce15dd-f994-40e0-8a09-5f257cc1f2ab.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 Hydrological flow records were generated using Grid-to-Grid and UKCP18 12km regional projections. Widespread events were selected for which daily flow exceeded a 99.5% percentile simultaneously over at least 20km^2. Multi-day events (consecutive days for which the above conditions were met) are summarised by pointwise maxima of flow. Probabilities of exceedance are computed pointwise using a mixed distribution, with an empirical distribution used for non-extreme values (below the 99.5% percentile) and a Generalised Pareto distribution used above, both fitted to the full time series of daily flow.