Zelazowski, P.; Huntingford, C.; Mercado, L.M.; Schaller, N.

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.

Publication date: 2016-10-10

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Supporting documentation

Format of the dataset : text

This dataset is made available under the terms of the Open Government Licence

You must 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

 

© Centre for Ecology & Hydrology (Natural Environment Research Council)

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

Where/When

Study area

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.

Correspondence/contact details

Professor Chris Huntingford
Centre for Ecology & Hydrology
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
United Kingdom
enquiries@ceh.ac.uk

Authors

Zelazowski, P.
University of Warsaw
Huntingford, C.
Centre for Ecology & Hydrology
Mercado, L.M.
University of Exeter
Schaller, N.
Center for International Climate and Environmental Research (CICERO)

Other contacts

Custodian
Environmental Information Data Centre
eidc@ceh.ac.uk
Publisher
NERC Environmental Information Data Centre
eidc@ceh.ac.uk

Spatial

Spatial representation type
Raster
Spatial reference system
UKMO HadCM3 grid

Tags

Topic categories
Climatology / Meteorology / Atmosphere
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
INSPIRE Theme
Atmospheric Conditions
Meteorological geographical features