d370cda8-7d3d-4b62-8d09-23711aa18ac2 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 2025-11-13T16:24:19 UK GEMINI 2.3 OSGB 1936 / British National Grid Climate change exposure estimates for the UK at 1 km resolution, 1901-2080 2023-05-12 publication https://catalogue.ceh.ac.uk/id/d370cda8-7d3d-4b62-8d09-23711aa18ac2 10.5285/d370cda8-7d3d-4b62-8d09-23711aa18ac2 doi: Wilson, O.J., Pescott, O.L. (2023). Climate change exposure estimates for the UK at 1 km resolution, 1901-2080. NERC EDS Environmental Information Data Centre 10.5285/d370cda8-7d3d-4b62-8d09-23711aa18ac2 This dataset consists of spatially explicit (1 km gridded) metrics of climate change "exposure" (i.e. an index of the amount of expected change in a location) derived from quantifying the difference in observed historical and predicted future climatic conditions. Four comparisons are included between five discrete time periods: 1901–1930 v. 1961–1990; 1961–1990 v. 2010–2019; 2010–2019 v. 2021–2040; and 2021–2040 v. 2061–2080. Full details about this dataset can be found at https://doi.org/10.5285/d370cda8-7d3d-4b62-8d09-23711aa18ac2 Pescott, O.L. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-0685-8046 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 pointOfContact Wilson, O.J. University of York oliver.wilson@york.ac.uk https://orcid.org/0000-0002-1834-7542 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 Pescott, O.L. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-0685-8046 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 EDS Environmental Information Data Centre info@eidc.ac.uk publisher UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner Joint Nature Conservation Committee data@jncc.gov.uk owner Plantlife enquiries@plantlife.org.uk owner Botanical Society of Britain and Ireland enquiries@bsbi.org owner Atmospheric Conditions theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication climate change monitoring habitat GEMET - Concepts, version 4.1.3 2019-01-28 creation UK-SCAPE National Plant Monitoring Scheme ecological monitoring climate change exposure otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions The following acknowledgement is required for use of this dataset: The National Plant Monitoring Scheme (NPMS) is organised and funded by the UK Centre for Ecology & Hydrology, Botanical Society of Britain and Ireland, Plantlife and the Joint Nature Conservation Committee. The NPMS is indebted to all volunteers who contribute data to the scheme. © UK Centre for Ecology & Hydrology © Joint Nature Conservation Committee © Plantlife © Botanical Society of Britain and Ireland otherRestrictions © UK Centre for Ecology & Hydrology otherRestrictions © Joint Nature Conservation Committee otherRestrictions © Plantlife otherRestrictions © Botanical Society of Britain and Ireland otherRestrictions If you reuse this data, you should cite: Wilson, O.J., Pescott, O.L. (2023). Climate change exposure estimates for the UK at 1 km resolution, 1901-2080. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/d370cda8-7d3d-4b62-8d09-23711aa18ac2 grid 1000 English utf8 environment 1901-01-01 2080-12-31 -8.648 1.768 49.864 60.861 TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/d370cda8-7d3d-4b62-8d09-23711aa18ac2 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/d370cda8-7d3d-4b62-8d09-23711aa18ac2.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 For historical and contemporary climate periods, we considered the early 20th Century (1901–1930), mid-late 20th Century (1961–1990), and the last decade (2010–2020). For each period, HadUK-Grid data on monthly precipitation and maximum, minimum and mean temperatures were downloaded at 1 x 1 km resolution; averages for the 1961–1990 period were available, since this is a widely used climate “normal” period; for the other periods annual data were averaged together to create long-term mean datasets. UKCP18 Local data for the coming decades (2021–2040) and later 21st Century (2061–2080) were downloaded at 5 x 5 km resolution and resampled to 1km resolution using bilinear interpolation to match the HadUK-Grid data. For each time period, an extended set of 37 bioclimatic variables were produced from the monthly climate data. These variables were scaled and their dimensionality reduced using a Principal Components Analysis. The first two principal components (PCs), generally reflecting gradients from warmer and drier to cooler and wetter conditions (PC1, 58.25% of total variance) and from wetter (especially in winter) to more temperature-stable conditions (PC2, 21.43% of total variance), were used as a summary of the resulting multivariate climatic “space”. The Euclidean distance between pixels’ (i.e. 1 km sites’) positions in PC1–PC2 space (weighted by the PCs’ eigenvalues) in adjacent time points was calculated and used as an index of a locations’ climate change exposure through time; this approach was used for all four of the time period comparisons deposited here.