Peak flow and probability of exceedance data for Grid-to-Grid modelled widespread flooding events across mainland GB from 1980-2010 and 2050-2080
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
dataset
https://data-package.ceh.ac.uk/data/26ce15dd-f994-40e0-8a09-5f257cc1f2ab
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https://data-package.ceh.ac.uk/sd/26ce15dd-f994-40e0-8a09-5f257cc1f2ab.zip
name: Supporting information
description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/26ce15dd-f994-40e0-8a09-5f257cc1f2ab
doi:
eng
environment
Environmental Monitoring Facilities
publication
2008-06-01
-8.648
1.768
60.861
49.864
1980-12-01
2080-11-30
publication
2022-06-27
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.
publication
2010-12-08
Comma-separated values (CSV)
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
pointOfContact
https://orcid.org/0000-0001-8645-4561
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description: 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.
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author
https://orcid.org/0000-0002-5526-1756
name: ORCID record
description: 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.
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author
https://orcid.org/0000-0002-0792-5650
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description: 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.
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author
https://orcid.org/0000-0003-4246-6645
name: ORCID record
description: 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.
function: information
author
Sayers and Partners Consultancy
Paul.sayers@sayersandpartners.co.uk
https://orcid.org/0000-0003-2160-1959
name: ORCID record
description: 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.
function: information
author
Sayers and Partners Consultancy
Sam.carr@sayersandpartners.co.uk
author
custodian
publisher
owner
Sayers and Partners Consultancy
Paul.sayers@sayersandpartners.co.uk
owner
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
name: EIDC website
description: The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
function: information
pointOfContact
2024-07-19T10:10:14