GeoClimate UKCP09 Premium

BGS Datasets

Key information

Quasi-1:50 000
Great Britain
GIS polygon data (ESRI, others available by request)

Price: £1.05 per km2
Capped at a maximum of £31 500

Subject to number of users, licence fee and data preparation fee.

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Free access

Our free data is available under the Open Government Licence. Please acknowledge reproduced BGS materials.

Supporting documents

The BGS GeoClimate: shrink–swell national datasets show potential change in subsidence due to changes in climate. They have been developed by combining long-term UK Climate Projection (UKCP) scenarios for rainfall and temperature changes with the geotechnical properties of the ground, to identify areas projected to experience the largest increases in susceptibility to subsidence over the next century.

GeoClimate UKCP09 Premium coverage map
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GeoClimate UKCP09 Premium coverage for Great Britain. BGS © UKRI.

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GeoClimate UKCP09 Premium is a quasi-1:50 000 scale product (due to the variable scales of input datasets), provided as area polygons, for five time-period envelopes, centred on 2020, 2030, 2040, 2050 and 2080. It is based on the medium emissions scenarios and provides projections for average, wetter and drier climate conditions. For each scenario it describes five categories of projected susceptibility, from highly unlikely to extremely likely.

GeoClimate UKCP09 Premium features
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Summary of GeoClimate UKCP18 Premium dataset content (click on the table to expand)

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Additional dataset information

Features GeoClimate UKCP09 Premium
Temporal projections (11-year windows)Six in total: 2020 (2015–2025), 2030 (2025–2035), 2040 (2035–2045), 2050 (2045–2055), 2080 (2075–2085)
Historical time period (11-year window)2010 (2005–2015)
UKCP09 emissions scenarioMedium emissions
Climate models11 regional climate models (UKCEH)
GeoClimate categoriesFive
Climate data scaleDaily 2 km grid
Statistical outputsMedium, drier, and wetter for each scenario projection (18)
FormatESRI vector polygon data
Difference maps15: three for each time slice

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