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Dataset

 

CHESS-SCAPE: Future projections of meteorological variables at 1 km resolution for the United Kingdom 1980-2080 derived from UK Climate Projections 2018

Update Frequency: Not Planned
Latest Data Update: 2021-12-17
Status: Underdevelopment
Online Status: ONLINE
Publication State: Citable
Publication Date: 2022-03-28
DOI Publication Date: 2022-04-01
Download Stats: last 12 months
Dataset Size: 387.84K Files | 11TB
  Citations: 2
Abstract

Gridded daily meteorological variables over the United Kingdom at 1 km resolution for the years 1980-2080. This dataset is an ensemble of four different realisations of future climate for each of four different representative concentration pathway scenarios (RCP2.6, RCP4.5, RCP6.0 and RCP8.5), provided both with and without bias correction. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), relative humidity (%), wind speed (m s-1), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), precipitation (kg m-2 s-2) and surface air pressure (Pa). It also contains time series of daily minimum air temperature (K), daily maximum air temperature (K) and daily temperature range (K). The data are provided in gridded netCDF files at 1 km resolution aligned to the Ordnance Survey / British National Grid. There is one file for each variable for each month of the daily data. Also provided are monthly, seasonal and annual means, for which there is one file for each variable for each time resolution. Additionally twenty year mean-monthly (Jan-Dec) climatologies at ten year intervals are provided, for which there is one file for each variable for each twenty year time slice. The projections use a 360-day calendar, where each month consists of 30 days.

Citable as:  Robinson, E.L.; Huntingford, C.; Semeena, V.S.; Bullock, J.M. (2022): CHESS-SCAPE: Future projections of meteorological variables at 1 km resolution for the United Kingdom 1980-2080 derived from UK Climate Projections 2018. NERC EDS Centre for Environmental Data Analysis, 01 April 2022. doi:10.5285/8194b416cbee482b89e0dfbe17c5786c. https://dx.doi.org/10.5285/8194b416cbee482b89e0dfbe17c5786c
Abbreviation: Not defined
Keywords: Not defined

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

This dataset was derived from four ensemble members of the United Kingdom Climate Projections 2018 (UKCP18) Regional Projections on a 12km grid over
the United Kingdom for 1980-2080 (https://catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604, v20190731), which is a twelve member perturbed parameter ensemble of climate model projections for representative concentration pathway (RCP) scenario RCP8.5. Selected daily UKCP18 RCM variables were downscaled to 1 km using adapted Climate, Hydrology and Ecology research Support System (CHESS) downscaling methodology, taking into account topographic information. Ancillary datasets were obtained from the surface elevation of the climate model (https://data.ceda.ac.uk/badc/ukcp18/data/land-rcm/ancil/orog), the Integrated Hydrological Digital Terrain Model (IHDTM; https://www.ceh.ac.uk/services/integrated-hydrological-digital-terrain-model), the Ordnance Survey of Northern Ireland (OSNI) Open Data 50m Digital Terrain Model (https://www.nidirect.gov.uk/articles/50m-digital-terrain-model-height-data), Standardised Annual Average Rainfall 1961-90 (SAAR 61-90; https://catalogue.ceh.ac.uk/documents/51861941-c38d-46e6-9a31-6e9a293fc3d5), the European Space Agency (ESA) GlobAlbedo project albedo (http://globalbedo.org) and UK Energy Technology Support Unit (ETSU) mean wind speeds. Where applied, bias-correction was calculated seasonally using the Climate Hydrology and Ecology research Support System meteorology dataset for Great Britain (CHESS-met; https://doi.org/10.5285/2ab15bf0-ad08-415c-ba64-831168be7293) observation-based dataset. Variables for RCP2.6, RCP4.5 and RCP6.0 were calculated using time-shifting and pattern-scaling of the RCP8.5 scenarios, using selected members of the 5th Coupled Model Intercomparison Project (CMIP5; https://pcmdi.llnl.gov/mips/cmip5) and UKCP18 Global Climate Model Projections for the entire globe (https://catalogue.ceda.ac.uk/uuid/f1a2fc3c120f400396a92f5de84d596a) to determine future warming trajectories.

Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
Data Quality:
The data files conform to NetCDF Climate and Forecast (CF) Metadata Conventions 1.8 and Attribute Convention for Data Discovery (ACDD) 1.3. They use the CF Standard Name Table v77 (https://cfconventions.org/standard-names.html) and the NERC Vocabulary Server (https://vocab.nerc.ac.uk/standard_name/).
File Format:
NetCDF

Related Documents

 5th Coupled Model Intercomparison Project
 Climate Hydrology and Ecology research Support System meteorology dataset for Great Britain
 European Space Agency (ESA) GlobAlbedo project albedo
 Standardised Annual Average Rainfall 1961-90 (SAAR 61-9 0
 Ordnance Survey of Northern Ireland (OSNI) Open Dat a 50m Digital Terrain Model
 Integrated Hydrological Digital Terrain Model (IHDTM)

Citations: 2

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

Brown, C., Seo, B., Alexander, P., Burton, V., Chacón‐Montalván, E. A., Dunford, R., Merkle, M., Harrison, P. A., Prestele, R., Robinson, E. L., & Rounsevell, M. (2022). Agent‐Based Modeling of Alternative Futures in the British Land Use System. Earth’s Future, 10(11). Portico. https://doi.org/10.1029/2022ef002905
West, B., Jones, D. L., Robinson, E. L., Marrs, R. H., & Smart, S. M. (2023). Model‐based assessment of the impact of agri‐environment scheme options and short‐term climate change on plant biodiversity in temperate grasslands. Ecological Solutions and Evidence, 4(2). Portico. https://doi.org/10.1002/2688-8319.12233

Process overview

  • units: K
  • standard_name: air_temperature
  • long_name: Daily near-surface air temperature range
  • var_id: dtr
  • names: air_temperature, Daily near-surface air temperature range
  • units: K
  • standard_name: air_temperature
  • long_name: Near-surface air temperature
  • var_id: tas
  • names: air_temperature, Near-surface air temperature
  • units: K
  • long_name: Near-surface daily maximum air temperature
  • var_id: tasmax
  • names: Near-surface daily maximum air temperature
  • units: K
  • var_id: tasmin
  • long_name: Near-surface daily minimum air temperature
  • names: Near-surface daily minimum air temperature
  • long_name: Near-surface relative humidity
  • units: %
  • standard_name: relative_humidity
  • var_id: hurs
  • names: relative_humidity, Near-surface relative humidity
  • units: 1
  • standard_name: specific_humidity
  • long_name: Near-surface specific humidity
  • var_id: huss
  • names: specific_humidity, Near-surface specific humidity
  • long_name: Near-surface wind speed
  • standard_name: wind_speed
  • var_id: sfcWind
  • units: m s-1
  • names: wind_speed, Near-surface wind speed
  • long_name: Precipitation flux
  • units: kg m-2 s-1
  • standard_name: precipitation_flux
  • var_id: pr
  • names: precipitation_flux, Precipitation flux
  • var_id: psurf
  • units: Pa
  • standard_name: surface_air_pressure
  • long_name: Surface air pressure
  • names: surface_air_pressure, Surface air pressure
  • var_id: rlds
  • standard_name: surface_downwelling_longwave_flux_in_air
  • long_name: Surface downwelling longwave radiation
  • units: W m-2
  • names: surface_downwelling_longwave_flux_in_air, Surface downwelling longwave radiation
  • long_name: Surface downwelling shortwave radiation
  • standard_name: surface_downwelling_shortwave_flux_in_air
  • var_id: rsds
  • units: W m-2
  • names: surface_downwelling_shortwave_flux_in_air, Surface downwelling shortwave radiation
  • var_id: climatology_bnds
  • var_id: crsOSGB
  • var_id: x
  • units: m
  • long_name: easting of British National Grid (BNG) coordinate system
  • standard_name: projection_x_coordinate
  • names: projection_x_coordinate, easting of British National Grid (BNG) coordinate system
  • standard_name: projection_y_coordinate
  • var_id: y
  • long_name: northing of British National Grid (BNG) coordinate system
  • units: m
  • names: projection_y_coordinate, northing of British National Grid (BNG) coordinate system
  • var_id: time_bnds
  • var_id: x_bnds
  • var_id: y_bnds

Co-ordinate Variables

  • standard_name: latitude
  • var_id: lat
  • long_name: latitude
  • units: degrees_north
  • names: latitude
  • var_id: lon
  • units: degrees_east
  • standard_name: longitude
  • long_name: longitude
  • names: longitude
  • standard_name: time
  • var_id: time
  • names: time
Coverage
Temporal Range
Start time:
1980-12-01T00:00:00
End time:
2080-12-01T00:00:00
Geographic Extent

 
59.3997°
  
-9.0141°
  
2.5006°
 
49.7662°
  
Related parties
Authors (4)
Publishers (1)
Funders (1)
Principal Investigators (1)