343885af-0f5e-4062-88e1-a9e612f77779 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 2025-11-13T16:20:59 UK GEMINI 2.3 WGS 84 CMIP5 GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving the IMOGEN impacts model 2018-06-26 publication https://catalogue.ceh.ac.uk/id/343885af-0f5e-4062-88e1-a9e612f77779 10.5285/343885af-0f5e-4062-88e1-a9e612f77779 doi: Comyn-Platt, E., Hayman, G., Huntingford, C., Chadburn, S., Burke, E., Harper, A., Collins, W., Webber, C., Powell, T., Cox, P., Gedney, N., Sitch, S. (2018). CMIP5 GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving the IMOGEN impacts model. NERC Environmental Information Data Centre 10.5285/343885af-0f5e-4062-88e1-a9e612f77779 This dataset consists of monthly spatial patterns of meteorological change for 34 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological variable. The meteorological variables analysed for each GCM include: surface temperature change per degree global warming (K K-1); surface relative humidity change per degree global warming (percentage of K-1); wind change per degree global warming (m s-1 K-1); longwave change per degree global warming (W m-2 K 1); shortwave change per degree global warming (W m-2 K-1); precipitation change per degree global warming (mm day-1 K-1) and pressure change per degree global warming (hPa K-1). The supporting information document associated with this metadata includes parameters for an energy balance model (IMOGEN EBM) that calculates the amount of global warming. Each GCM output has been re-mapped on to UKMO-HadCM3 grid, with resolution of 3.75° longitude and 2.5° latitude; this produces a surface spatial resolution of about 417 km E-W x 278 km N-S, reducing to 295 km E-W x 278 km N-S at 45° North and South. This corresponds to 1631 land points, each of which has a row in the provided data files. The data presented here is calibration of IMOGEN EBM parameters and patterns against 34 GCMs in the Coupled Model Intercomparison Project phase 5 (CMIP5) GCM ensemble. Further information about the dataset and its derivation can be found in Comyn-Platt, E. et al. (2018). 'Carbon budgets for 1.5 and 2 °C targets lowered by natural wetland and permafrost feedbacks'. Nature Geoscience. http://doi.org/10.1038/s41561-018-0174-9 Full details about this dataset can be found at https://doi.org/10.5285/343885af-0f5e-4062-88e1-a9e612f77779 Hayman, G. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact Comyn-Platt, E. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-7821-4998 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 Hayman, G. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-3825-4156 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 Huntingford, C. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-5941-7770 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 Chadburn, S. University of Leeds and University of Exeter S.E.Chadburn@exeter.ac.uk author Burke, E. Met Office Hadley Centre eleanor.burke@metoffice.gov.uk author Harper, A. University of Exeter A.Harper@exeter.ac.uk author Collins, W. University of Reading w.collins@reading.ac.uk author Webber, C. University of Reading c.p.webber@reading.ac.uk author Powell, T. University of Exeter T.Powell@exeter.ac.uk author Cox, P. University of Exeter P.M.Cox@exeter.ac.uk author Gedney, N. Met Office Hadley Centre nicola.gedney@metoffice.gov.uk author Sitch, S. University of Exeter S.A.Sitch@exeter.ac.uk author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner Atmospheric Conditions Meteorological geographical features theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication energy balance climate global model carbon cycle GEMET - Concepts, version 4.1.3 2019-01-28 creation Modelling Climate and climate change Global Circulation Model (GCM) Global climate-carbon cycle model Future climate projections Energy Balance Model EBM Integrated Model Of Global Effects of climatic aNomalies (IMOGEN) CMIP5 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: Comyn-Platt, E., Hayman, G., Huntingford, C., Chadburn, S., Burke, E., Harper, A., Collins, W., Webber, C., Powell, T., Cox, P., Gedney, N., Sitch, S. (2018). CMIP5 GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving the IMOGEN impacts model. NERC Environmental Information Data Centre https://doi.org/10.5285/343885af-0f5e-4062-88e1-a9e612f77779 textTable English utf8 climatologyMeteorologyAtmosphere -180 180 -90 90 text NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/343885af-0f5e-4062-88e1-a9e612f77779/ Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/343885af-0f5e-4062-88e1-a9e612f77779.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 pattern-scaling set is derived from 34 global circulation models (GCM) of the World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 5 (CMIP5) multi-model dataset. For each GCM emulated, regression is performed for each meteorological variable, each month and each grid box against global mean warming over land. The calibration against CMIP5 models has full numerical code documentation, traceability on demand and with scripts utilising open-access software. This meets the ISO standards for numerical model building and is available on request to Chris Huntingford.