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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
Identifier
https://catalogue.ceh.ac.uk/id/4e8f3459-4101-4c85-a598-80b3c739f580
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
  UK Centre for Ecology & Hydrology - Huntingford, C.
Author
  University of Warsaw - Zelazowski, P.
Author
  Centre for Ecology & Hydrology - Huntingford, C.
https://orcid.org/0000-0002-5941-7770
Author
  University of Exeter - Mercado, L.M.
Author
  Center for International Climate and Environmental Research (CICERO) - Schaller, N.
Publisher
  NERC Environmental Information Data Centre
Custodian
  NERC EDS Environmental Information Data Centre
Owner
  UK Centre for Ecology & Hydrology
Maintenance and update frequency
notPlanned Not planned
GEMET - INSPIRE themes, version 1.0
  • Atmospheric Conditions
  • Meteorological geographical features
Access constraints
otherRestrictions Other restrictions
Other constraints
no limitations
Use constraints
otherRestrictions Other restrictions
Other constraints
This resource is made available under the terms of the Open Government Licence
Use constraints
otherRestrictions Other restrictions
Other constraints
© UK Centre for Ecology & Hydrology
Use constraints
otherRestrictions Other restrictions
Other constraints
Please be aware that this dataset should be considered to be a beta product
Use constraints
otherRestrictions 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 Grid
Metadata language
EnglishEnglish
Character set
utf8 UTF8
Topic category
  • Climatology, meteorology, atmosphere
N
S
E
W
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Reference system identifier
UKMO HadCM3 grid
Distribution format
  • text ()

Distributor
  NERC EDS Environmental Information Data Centre
OnLine resource
Supporting information

Supporting information available to assist in re-use of this dataset

OnLine resource
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Hierarchy level
dataset Dataset
Other
dataset

Conformance result

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.
File identifier
4e8f3459-4101-4c85-a598-80b3c739f580 XML
Metadata language
EnglishEnglish
Character set
ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
Hierarchy level
dataset Dataset
Hierarchy level name
dataset
Date stamp
2025-04-08T11:12:29
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
https://eidc.ac.uk/
 
 

Overviews

Spatial extent

N
S
E
W
thumbnail


Keywords

GEMET - INSPIRE themes, version 1.0
Atmospheric Conditions Meteorological geographical features

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