Dataset
UKCP18 Derived RCP2.6 Projections at 60km lat-lon Resolution for 1900-2100
Abstract
Derived climate model projections data produced as part of the UK Climate Projections 2018 (UKCP18) project. The data produced by the UK Met Office Hadley Centre provides information on changes in 21st century climate for the UK helping to inform adaptation to a changing climate.
The derived climate model projections are estimated using a methodology based on time shift and other statistical approaches applied to a set of 28 projections comprising of 15 coupled simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5. The derived climate model projections exist for the RCP2.6 emissions scenario and for 2°C and 4°C global warming above pre-industrial levels.
The derived climate model projections are provided on a 60km spatial grid for the UK region and the projections consist of time series for the RCP2.6 emissions scenario that cover 1900-2100 and a 50 year time series for each of the global warming levels.
This dataset contains realisations scenario with global warming stabilised at 2°C.
Details
Previous Info: |
No news update for this record
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Previously used record identifiers: |
No related previous identifiers.
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Access rules: |
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Use of these data is covered by the following licence(s): 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: |
Data provided by the UK Met Office |
File Format: |
Data are NetCDF formatted
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Process overview
Title | UKCP18 Derived Climate Projections for the RCP 2.6 scenario on a 60km grid of the UK for 1900-2100 |
Abstract | This dataset was produced using an emulation technique. The technique is based on applying the time shift methodology to the UKCP18 Global Climate Projections, along with some other statistical techniques, to produce time series of climate variables for the UK region only. Each realisation provides an example of climate variability in a changing climate. The dataset covers the time period of 1900-2100 and comprises of monthly time series of near surface air temperature, precipitation rate, relative humidity, near surface wind, northward near surface wind speed, eastward near surface wind speed and net surface short wave flux. Daily time series of mean surface temperature and precipitation also exists |
Input Description | None |
Output Description | None |
Software Reference | None |
- units: m s-1
- standard_name: eastward_wind
- var_id: uas
- long_name: Eastward wind component
- standard_name: air_temperature
- var_id: tas
- units: degC
- long_name: Mean air temperature
- units: W m-2
- standard_name: surface_net_downward_shortwave_flux
- var_id: rss
- long_name: Net Surface short wave flux
- units: m s-1
- standard_name: northward_wind
- var_id: vas
- long_name: Northward wind component
- var_id: pr
- units: mm/day
- standard_name: lwe_precipitation_rate
- long_name: Precipitation rate
- standard_name: relative_humidity
- units: %
- long_name: Relative humidity
- var_id: hurs
- units: m s-1
- standard_name: wind_speed
- var_id: sfcWind
- long_name: Wind speed at 10m
- units: 1
- long_name: ensemble_member
- var_id: ensemble_member
- units: 1
- long_name: ensemble_member_id
- var_id: ensemble_member_id
- var_id: latitude_bnds
- var_id: latitude_longitude
- var_id: longitude_bnds
- units: 1
- long_name: month_number
- var_id: month_number
- var_id: time_bnds
- units: 1
- long_name: year
- var_id: year
- units: 1
- long_name: yyyymm
- var_id: yyyymm
- units: 1
- long_name: yyyymmdd
- var_id: yyyymmdd
Co-ordinate Variables
- units: degrees_north
- standard_name: latitude
- var_id: latitude
- units: degrees_east
- standard_name: longitude
- var_id: longitude
- standard_name: time
- var_id: time
Temporal Range
1900-01-01T00:00:00
2100-12-30T23:59:59
Geographic Extent
60.5700° |
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-12.6100° |
4.5900° |
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48.8300° |