4e8f3459-4101-4c85-a598-80b3c739f580 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 2025-11-13T16:18:58 UK GEMINI 2.3 UKMO HadCM3 grid GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving the IMOGEN impacts model 2016-10-10 publication 2016-09-30 creation https://catalogue.ceh.ac.uk/id/4e8f3459-4101-4c85-a598-80b3c739f580 10.5285/4e8f3459-4101-4c85-a598-80b3c739f580 doi: Zelazowski, P., Huntingford, C., Mercado, L.M., Schaller, N. (2016). 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 10.5285/4e8f3459-4101-4c85-a598-80b3c739f580 This dataset consists of monthly spatial patterns of meteorological change for 22 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); surface relative humidity change per degree global warming (%/K); wind change per degree global warming (m/s/K); longwave change per degree global warming (W/m2/K); shortwave change per degree global warming (W/m2/K); precipitation change per degree global warming (mm/day/K) and pressure change per degree global warming (hPa/K). The 22 GCMs emulated are: BCCR-BCM2.0, CGCM3.1(T47), CNRM-CM3, CSIRO-Mk3.0, CSIRO-Mk3.5, GFDL-CM2.0, GFDL-CM2.1, GISS-EH, GISS-ER, FGOALS-g1.0, INGV-SXG, INM-CM3.0, IPSL-CM4, MIROC3.2(hires), MIROC3.2(medres), ECHO-G, ECHAM5/MPI-OM, MRI-CGCM2.3.2, CCSM3, PCM, UKMO-HadCM3, UKMO-HadGEM1. 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 deg longitude and 2.5 deg 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 degrees 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 22 GCMs in the CMIP3 GCM ensemble. Full details about this dataset can be found at https://doi.org/10.5285/4e8f3459-4101-4c85-a598-80b3c739f580 Huntingford, C. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact Zelazowski, P. University of Warsaw enquiries@ceh.ac.uk 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 Mercado, L.M. University of Exeter enquiries@ceh.ac.uk author Schaller, N. Center for International Climate and Environmental Research (CICERO) enquiries@ceh.ac.uk author NERC Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner notPlanned Atmospheric Conditions Meteorological geographical features theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Modelling Climate and climate change IMOGEN Global Circulation Model GCM Global climate-carbon cycle model Future climate projections Energy Balance Model EBM Integrated Model Of Global Effects of climatic aNomalies otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © UK Centre for Ecology & Hydrology otherRestrictions Please be aware that this dataset should be considered to be a beta product otherRestrictions If you reuse this data, you should cite: Zelazowski, P., Huntingford, C., Mercado, L.M., Schaller, N. (2016). 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/10.5285/4e8f3459-4101-4c85-a598-80b3c739f580 grid English utf8 climatologyMeteorologyAtmosphere -180 180 -90 90 text NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/sd/4e8f3459-4101-4c85-a598-80b3c739f580.zip Supporting information Supporting information available to assist in re-use of this dataset information https://data-package.ceh.ac.uk/data/4e8f3459-4101-4c85-a598-80b3c739f580 Download the data Download a copy of this data download 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 22 global circulation models (GCM) of the he World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 3 (CMIP3) 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. This calibration is a "beta" program. Although significant effort was placed on ensuring the EBM parameters and parameters are accurate, this exercise should be regarded as generating a "beta" product, and predominantly for sensitivity studies in research. Plans are now being put in place to revisit this activity, but with calibration against CMIP5 models. This newer attempt will ensure full numerical code documentation, traceability on demand and with scripts utilising open-access software. This will aim to meet ISO standards for numerical model building.