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CMIP5 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 34 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-1); surface relative humidity change per degree global warming (percentage of K-1); wind change per degree global warming (m s-1 K-1); longwave change per degree global warming (W m-2 K 1); shortwave change per degree global warming (W m-2 K-1); precipitation change per degree global warming (mm day-1 K-1) and pressure change per degree global warming (hPa K-1).

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° longitude and 2.5° 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° 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 34 GCMs in the Coupled Model Intercomparison Project phase 5 (CMIP5) GCM ensemble.

Further information about the dataset and its derivation can be found in Comyn-Platt, E. et al. (in press). Carbon budgets for 1.5 and 2°C targets lowered by natural wetland and permafrost feedbacks. Nature Geoscience. http://doi.org/10.1038/s41561-018-0174-9 Full details about this dataset can be found at https://doi.org/10.5285/343885af-0f5e-4062-88e1-a9e612f77779

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Identification info

Metadata Language
English (en)
Character set
utf8
Dataset Reference Date ()
2018-06-26
Identifier
https://catalogue.ceh.ac.uk/id/343885af-0f5e-4062-88e1-a9e612f77779
Identifier
doi: / 10.5285/343885af-0f5e-4062-88e1-a9e612f77779
Other citation details
Comyn-Platt, E., Hayman, G., Huntingford, C., Chadburn, S., Burke, E., Harper, A., Collins, W., Webber, C., Powell, T., Cox, P., Gedney, N., Sitch, S. (2018). CMIP5 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 10.5285/343885af-0f5e-4062-88e1-a9e612f77779
  UK Centre for Ecology & Hydrology - Hayman, G.
  Centre for Ecology & Hydrology - Comyn-Platt, E.
  Centre for Ecology & Hydrology - Hayman, G.
  Centre for Ecology & Hydrology - Huntingford, C.
  University of Leeds and University of Exeter - Chadburn, S.
  Met Office Hadley Centre - Burke, E.
  University of Exeter - Harper, A.
  University of Reading - Collins, W.
  University of Reading - Webber, C.
  University of Exeter - Powell, T.
  University of Exeter - Cox, P.
  Met Office Hadley Centre - Gedney, N.
  University of Exeter - Sitch, S.
  NERC EDS Environmental Information Data Centre
  NERC Environmental Information Data Centre
  UK Centre for Ecology & Hydrology
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
Limitations on Public Access
otherRestrictions
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no limitations
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This resource is made available under the terms of the Open Government Licence
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© UK Centre for Ecology & Hydrology
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If you reuse this data, you should cite: Comyn-Platt, E., Hayman, G., Huntingford, C., Chadburn, S., Burke, E., Harper, A., Collins, W., Webber, C., Powell, T., Cox, P., Gedney, N., Sitch, S. (2018). CMIP5 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/10.5285/343885af-0f5e-4062-88e1-a9e612f77779
Spatial representation type
textTable
Topic category
  • Climatology, meteorology, atmosphere
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Code
WGS 84

Distribution Information

Data format
  • text ()

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Supporting information

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

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Supporting information

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

 
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dataset
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Report

Dataset Reference Date ()
2010-12-08
Statement

The pattern-scaling set is derived from 34 global circulation models (GCM) of the World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 5 (CMIP5) 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.

The calibration against CMIP5 models has full numerical code documentation, traceability on demand and with scripts utilising open-access software. This meets the ISO standards for numerical model building and is available on request to Chris Huntingford.

Metadata

File identifier
343885af-0f5e-4062-88e1-a9e612f77779 XML
Metadata Language
English (en)
Character set
ISO/IEC 8859-1 (also known as Latin 1)
Resource type
dataset
Hierarchy level name
dataset
Metadata Date
2022-05-20T10:40:33
Metadata standard name
UK GEMINI
Metadata standard version
2.3
  Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
 
 

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