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GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving the IMOGEN impacts model

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

Simple

Date (Publication)
2016-10-10
Date (Creation)
2016-09-30
Citation identifier
https://catalogue.ceh.ac.uk/id/4e8f3459-4101-4c85-a598-80b3c739f580
Citation identifier
doi: / 10.5285/4e8f3459-4101-4c85-a598-80b3c739f580
Other citation details

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

Point of contact
Organisation name Individual name Electronic mail address Role
UK Centre for Ecology & Hydrology

Huntingford, C.

enquiries@ceh.ac.uk

Point of contact
University of Warsaw

Zelazowski, P.

enquiries@ceh.ac.uk

Author
Centre for Ecology & Hydrology Huntingford, C.

enquiries@ceh.ac.uk

Author
University of Exeter

Mercado, L.M.

enquiries@ceh.ac.uk

Author

Center for International Climate and Environmental Research (CICERO)

Schaller, N.

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
Maintenance and update frequency
Not planned

GEMET - INSPIRE themes, version 1.0

  • Atmospheric Conditions

  • Meteorological geographical features

Keywords
  • 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

Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
Other restrictions
Other constraints
This resource is made available under the terms of the Open Government Licence
Use constraints
Other restrictions
Other constraints

© UK Centre for Ecology & Hydrology

Use constraints
Other restrictions
Other constraints

Please be aware that this dataset should be considered to be a beta product

Use constraints
Other restrictions
Other constraints

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

Spatial representation type
Grid
Language
English
Character set
UTF8
Topic category
  • Climatology, meteorology, atmosphere
N
S
E
W
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Reference system identifier
UKMO HadCM3 grid
Distribution format
Name Version

text

Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/sd/4e8f3459-4101-4c85-a598-80b3c739f580.zip

Supporting information

OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/data/4e8f3459-4101-4c85-a598-80b3c739f580

Download the data

Hierarchy level
Dataset
Other

dataset

Conformance result

Title

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

Date (Publication)
2010-12-08
Statement

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.

Metadata

File identifier
4e8f3459-4101-4c85-a598-80b3c739f580 XML
Metadata language
English
Character set
8859 Part 1
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2025-11-13T16:18:58
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

GEMET - INSPIRE themes, version 1.0

Atmospheric Conditions Meteorological geographical features


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