Cite this dataset as
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. (Dataset). https://doi.org/10.5285/4e8f3459-4101-4c85-a598-80b3c739f580
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This dataset is made available under the terms of the Open Government Licence 
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.
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.
Publication date: 2016-10-10
View record as
Format
text
Spatial information
- Study area
-
- Spatial representation type
- Raster
- Spatial reference system
- UKMO HadCM3 grid
Provenance & quality
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.
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.
Correspondence/contact details
Professor Chris Huntingford
UK Centre for Ecology & Hydrology
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
enquiries@ceh.ac.uk
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
Authors
Zelazowski, P.
University of Warsaw
https://orcid.org/0000-0002-5941-7770
Mercado, L.M.
University of Exeter
Schaller, N.
Center for International Climate and Environmental Research (CICERO)
Other contacts
- Rights holder
-
UK Centre for Ecology & Hydrology
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
-
NERC Environmental Information Data Centreinfo@eidc.ac.uk
Additional metadata
- Topic categories
- climatologyMeteorologyAtmosphere
- INSPIRE themes
- Atmospheric Conditions
Meteorological geographical features - Keywords
- Climate and climate change , EBM , Energy Balance Model , Future climate projections , GCM , Global Circulation Model , Global climate-carbon cycle model , IMOGEN , Integrated Model Of Global Effects of climatic aNomalies , Modelling
- Last updated
- 08 February 2024 17:24