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This catalogue entry provides daily and monthly Regional Climate Model (RCM) data on single levels from a number of experiments, models, domains, resolutions, ensemble members, time frequencies and time periods computed over Europe and several regional domains all over the World in the framework of the Coordinated Regional Climate Downscaling Experiment (CORDEX). The term "single levels" is used to express that the variables are 2D-matrices computed at on one vertical level which can be surface (or a level close to the surface) or a dedicated pressure level in the atmosphere. Multiple vertical levels are excluded from this catalogue entry.

...

  • what will future climate forcing be?
  • what will be the response of the climate system to changes in forcing?
  • what is the uncertainty related to natural variability of the climate system?

The term "region" in the CDS form refers to the different regional domains, which are as follows:

  • EUR: European domain from 27°N to 72°N and from 22°W to 45°E. The horizontal resolution for this domain is 0.11° x 0.11° (EUR-11).
  • MED: Mediterranean domain from 25°N to 52°N and from 21°W to 50°E. The horizontal resolutions for this domain are 0.11° x 0.11° (MED-11) and 0.44° x 0.44° (MED-44).
  • NAM: North-American domain from 12°N to 59°N and from 171°W to 24°W. The horizontal resolutions for this domain are 0.22° x 0.22° (NAM-22) and 0.44° x 0.44° (NAM-44).
  • ARC: Arctic domain from 46°N to 90°N and from 180°W  to 180°E. The horizontal resolutions for this domain are 0.22° x 0.22° (ARC-22) and 0.44° x 0.44° (ARC-44).
  • AFR: Africa domain from 45°S to 42°N and from 24°W to 60°E. The horizontal resolutions for this domain are 0.22° x 0.22° (AFR-22) and 0.44° x 0.44° (AFR-44).
  • SAM: South America domain from 52°S to 19°N and from 105°W to 17°W. The horizontal resolutions for this domain are 0.20° x 0.20° (SAM-20),0.22° x 0.22° (SAM-22) and 0.44° x 0.44° (SAM-44).

Additional details on each CORDEX geographical domain are available at https://cordex.org/domains/.

The term "experiment" in the CDS form refers to three main categories:

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Additionally, the uncertainty related to internal variability of the climate system is sampled by running several simulations with the same RCM-GCM combination. On the forms, these are indexed as separate ensemble members (the naming convention for ensemble members is available in the documentation). For each GCM, the same experiment was repeatedly done using slightly different conditions (like initial conditions or different physical parameterisations for instance) producing in that way an ensemble of experiments closely related. More details behind these sequential ensemble numbers will be is available in the detailed documentation.

On a general level in the CDS form for the RCM simulations “v” enumerates runs and not model versions. Runs numbers different from “v1” means new simulations relative to the first “v1” one. It might not mean a new version:

  • For the EC-EARTH and HadGEM2-ES forced HIRHAM RCM simulation “v2” is a new simulation where proper GHG concentrations changing with time are used as a contrast to “v1” that erroneously used the constant control level throughout the simulation. Therefore users should use "v2".
  • For NorESM forced HIRAM RCM “v2” run includes also an error in the vertical interpolation when preparing the boundary files also exists. Therefore users should use "v3".
  • For the MOHC-HadGEM2-ES forced RACMO simulation "v2" is a new simulation where a big error in SST-remapping from the HadGEM-grid to the RCM-grid in "v1" was corrected. The erroneous v1-simulation has been unpublished from the ESGF.
  • For the CNRM-CM5 forced runs "v2" is a new simulation replacing the old now with input data taken from pressure levels instead of model levels. The originally provided model level fields from CNRM were wrong.
  • Two MPI-driven scenario runs were rerun in 2016 as there had been problems with a restart file and as there was an error in the snow diagnostics in the original run. The reruns were labelled "v1a".

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All known issues about the CORDEX data are documented through the ES-DOC Errata Service : https://errata.es-doc.org/.

The data are produced by the institutes and modelling centres participating in the different CORDEX domains with partial support from different international and national contributions (including support from COPERNICUS for some of the EURO-CORDEX runs and for helping in the data curation and ESGF archiving process in some domains). 

Recommended search procedure: 

  1. Select the CORDEX region of interest
  2. Select the spatial resolution of interest
  3. Select the CORDEX experiment (e.g., future scenario) of interest
  4. Select the required variable(s) for your analysis.
  5. Select the required time period (which depends on the experiment).
  6. The search interface will adapt the other selection fields according to the available data (e.g., which models provides the variable you aim for, how many ensemble are available, etc.)
MAIN
DATA DESCRIPTION
Data typeGridded
Horizontal coverageFrom 27°N to 72°N and from 22°W to 45°E Depends on the regional domain (grid projection may differ among RCMs)
Horizontal resolution0.11°x0.11°11° x 0.11°, 0.20°x 0.20°, 0.22° x 0.22° or 0.44° x 0.44° depending on the region.
Vertical resolutionVariables are provided in one single level (which may differ among variables)
Temporal coverage

evaluation runs are from 1989 to 2008

historical runs are from 1951 to 2005

scenario runs are from 2006 to 2100

1950-2100 (shorter for some experiments)

Temporal resolution3h, 6h, daily, monthly and seasonal
File formatNetCDF4
ConventionsClimate and Forecast (CF) Metadata Convention v1.6
VersionsLatest version of the data is provided.
Update frequencyRegular quarterly updates


VARIABLES
NameShort nameUnitsDescription
10m Wind Speed
2m temperaturetasK
m s-1
The
magnitude
temperature of the
two-dimensional horizontal air velocity
air near the surface (or ambient temperature). The data represents the mean over the aggregation period at
10m
2m above the surface.
200hPa temperatureta200KThe temperature of the air at 200hPa. The data represents the mean over the aggregation period at 200hPa pressure level.
Minimum 2m temperature in the last 24 hourstasminKThe minimum temperature of the air near the surface. The data represents the daily minimum at 2m
10m u-component of the windm s-1The magnitude of the eastward component of the wind at 10m
above the surface.
10m v-component of the windm s-1
 
Maximum 2m temperature in the last 24 hourstasmaxKThe maximum temperature of the air near the surface. The data represents the daily maximum at 2m
The magnitude of the northward component of the wind at 10m
above the surface.
200hPa u-component of the wind
Mean precipitation fluxprkg.m-2.
m
s-1The
magnitude of the eastward component of the wind at 10m 200hPa.200hPa v-component of the wind
deposition of water to the Earth's surface in the form of rain, snow, ice or hail. The precipitation flux is the mass of water per unit area and time. The data represents the mean over the aggregation period.
Mean evaporation fluxevspsblkg.m-2.
m
s-1The
magnitude of the northward component of the wind at 10m 200hPa.2m relative humidity%Relative
mass of surface and sub-surface liquid water per unit area ant time, which evaporates from land. The data includes conversion to vapour phase from both the liquid and solid phase, i.e., includes sublimation, and represents the mean over the aggregation period.
2m surface relative humidityhurs%

The relative humidity is the percentage ratio of the water vapour mass to the water vapour mass at the saturation point given the temperature at that location. The data represents the mean over the aggregation period at 2m above the surface.

2m surface specific humidityhussDimensionless
Amount
The amount of moisture in the air at 2m above the surface divided by the amount of air plus moisture at that location.
2m temperatureKThe ambient air temperature. The
 The data represents the mean over the aggregation period at
to
2m above the surface.
500hPa geopotential
Surface pressure
mGravitational potential energy per unit mass normalised by the standard gravity at 500hPa at the same latitude.850hPa U-component of the windm s-1Magnitude of the eastward component of the two-dimensional horizontal air velocity at 850hPa.850hPa V-component of the windm s-1Magnitude of the northward component of the two-dimensional horizontal air velocity at 850hPa.Mean precipitation fluxkg m-2 s-1The deposition of water to the Earth s surface in the form of rain, snow, ice or hail. The precipitation flux is the mass of water per unit area and time. The
psPa

The air pressure at the lower boundary of the atmosphere. The data represents the mean over the aggregation period.

Mean sea level pressurepslPaThe air pressure at sea level. In regions where the Earth's surface is above sea level the surface pressure is used to compute the air pressure that would exist at sea level directly below given a constant air temperature from the surface to the sea level point. The data represents the mean over the aggregation period.
10m Wind SpeedsfcWindm.s-1The magnitude of the two-dimensional horizontal air velocity. The data represents the mean over the aggregation period at 10m above the surface
Surface pressurePaPressure of air at the lower boundary of the atmosphere
.
Surface solar radiation downwardsrsdsW.m-2The downward shortwave radiative flux of energy per unit area. The data represents the mean over the aggregation period at the surface.
Surface thermal radiation downwardrldsW.m-2
Radiative

The downward longwave radiative flux of energy

incinding

inciding on the surface from the above per unit area. The data represents the mean over the aggregation period.

Surface upwelling shortwave radiationrsusW.m-2
Short wave

The upward shortwave radiative flux of energy from the surface per unit area. The data represents the mean over the aggregation period at the surface.

Total cloud covercltDimensionlessTotal refers to the whole atmosphere column, as seen from the surface or the top of the atmosphere. Cloud cover refers to fraction of horizontal area occupied by clouds. The data represents the mean over the aggregation period.
500hPa geopotentialzg500mThe gravitational potential energy per unit mass normalized by the standard gravity at 500hPa at the same latitude. The data represents the mean over the aggregation period at 500hPa pressure level.
10m u-component of winduasm.s-1The magnitude of the eastward component of the wind. The data represents the mean over the aggregation period at 10m above the surface.
10m v-component of windvasm.s-1The magnitude of the northward component of the wind. The data represents the mean over the aggregation period at 10m above the surface.
200hPa u-component of the windua200m.s-1

The magnitude of the eastward component of the wind. The data represents the mean over the aggregation period at 200hPa above the surface.

200hPa v-component of the windva200m.s-1The magnitude of the northward component of the wind. The data represents the mean over the aggregation period at 200hPa pressure level.
850hPa U-component of the windua850m.s-1The magnitude of the eastward component of the wind. The data represents the mean over the aggregation period at 850hPa pressure level.
850hPa V-component of the windva850m.s-1The magnitude of the northward component of the wind. The data represents the mean over the aggregation period at 850hPa pressure level.
Total run-off fluxmrrokg.m-2
 
.s-1

The mass of surface and sub-surface liquid water per unit area and time, which drains from land. The data represents the mean over the aggregation period.

Mean evaporation fluxevspsblkg.m-2.s-1

The mass of surface and sub-surface liquid water per unit area ant time, which evaporates from land.

...

The data includes conversion to vapour phase from both the liquid and solid phase, i.e., includes sublimation, and represents the mean over the aggregation period.

Land area fractionsftlf%The fraction (in percentage) of grid cell occupied by land surface. The data is time-independent.
OrographyorogmThe height above the geoid (being 0.0 over the ocean). The data is time-independent.