NERC Data Catalogue Service
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
Default
Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2016-10-10
- Dataset Reference Date ()
- 2016-09-30
- 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
- Maintenance and update frequency
- notPlanned
- 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
- Other constraints
- no limitations
- Use constraints
- otherRestrictions
- Use constraints
- otherRestrictions
- Other constraints
- © UK Centre for Ecology & Hydrology
- Use constraints
- otherRestrictions
- Other constraints
- Please be aware that this dataset should be considered to be a beta product
- Use constraints
- otherRestrictions
- 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
- Topic category
-
- Climatology, meteorology, atmosphere
))
- Reference system identifier
- UKMO HadCM3 grid
Distribution Information
- Data format
-
-
text
()
-
text
()
- Resource Locator
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Resource Locator
-
Download the data
Download a copy of this data
- Resource Locator
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Resource Locator
-
Download the data
Download a copy of this data
- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 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 (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2022-05-20T10:41:17
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
