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Table 3.1: List of variables in the AgERA5 data set

Short name

Long name

Unit

Aggregation

AGROVOC URI

Cloud_Cover_Mean

Total cloud cover (00-00LT)

(0 - 1)

Mean

Dew_Point_Temperature_2m_Mean

2 meter dewpoint temperature (00-00LT)

K

Mean

Preciptation_Flux

Total precipitation (00-00LT)

mm d-1

Sum

Preciptation_Rain_Duration_Fraction

Precipitation type duration - rain (00-00LT)

-

Count


Preciptation_Solid_Duration_Fraction

Precipitation type duration - solid fraction (no hail) composed of: precipitation types freezing rain (3), snow (5), wet snow (6), mixture of
rain and snow (7) and ice pellets (8) (00-00LT)

-

Count


Relative_Humidity_2m_06h

Relative humidity at 06LT

%

-

Relative_Humidity_2m_09h

Relative humidity at 09LT

%

-

Relative_Humidity_2m_12h

Relative humidity at 12LT

%

-

Relative_Humidity_2m_15h

Relative humidity at 15LT

%

-

Relative_Humidity_2m_18h

Relative humidity at 18LT

%

-

Snow_Thickness_LWE_Mean

Snow liquid water equivalent (00-00LT)

cm of liquid water equivalent

Mean

Snow_Thickness_Mean

Snow depth (00-00LT)

cm snow

Mean

Solar_Radiation_Flux

Surface solar radiation downwards (00-00LT)

J m-2d-1

Sum

Temperature_Air_2m_Max_24h

Maximum air temperature at 2 meter (00-00LT)

K

Maximum

Temperature_Air_2m_Max_Day_Time

Maximum air temperature at 2 meter (06-18LT)

K

Maximum

Temperature_Air_2m_Mean_24h

2 meter air temperature (00-00LT)

K

Mean

Temperature_Air_2m_Mean_Day_Tim e


2 meter air temperature (06-18LT)

K

Mean

Temperature_Air_2m_Mean_Night_Ti me


2 meter air temperature (18-06LT)

K

Mean

Temperature_Air_2m_Min_24h

Minimum air temperature at 2 meter (00-00LT)

K

Minimum

Temperature_Air_2m_Min_Night_Time

Minimum air temperature at 2 meter (18-06LT)

K

Minimum

Vapour_Pressure_Mean

Vapour pressure (00-00LT)

hPa

Mean

Wind_Speed_10m_Mean

10 meter wind component (00-00LT)

m s-1

Mean

Product target requirements

DATA DESCRIPTION


Horizontal coverage

Global (on a regular latitude-longitude grid)

Temporal Coverage

1 January 1979 to present

Temporal resolution

Daily

File format

NetCDF 4, Climate and Forecast (CF) Metadata Convention v1.6

Data type

Grid

Horizontal resolution

0.1° x 0.1°

Some remarks related to the quality of the AgERA5 data set:

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The quality of the bias correction has been documented in a separate document named: "C3S422Lot1.WEnR.DS2_Downscaling and bias correction v1.7.pdf". For each of the 22 variables there are netCDFs available describing the performance of the bias correction in terms of the following sample statistics: MAE, RMSE, R-squared and bias:

  • models_Cloud_Cover_Mean_Model2SelSeasonals_eval.nc
  • models_Dew_Point_Temperature_2m_Mean_Model2SelSeasonals_eval.nc
  • models_Relative_Humidity_2m_06h_Model2SelSeasonals_eval.nc
  • models_Relative_Humidity_2m_09h_Model2SelSeasonals_eval.nc
  • models_Relative_Humidity_2m_12h_Model2SelSeasonals_eval.nc
  • models_Relative_Humidity_2m_15h_Model2SelSeasonals_eval.nc
  • models_Relative_Humidity_2m_18h_Model2SelSeasonals_eval.nc
  • models_Solar_Radiation_Flux_Model2SelSeasonals_eval.nc
  • models_Temperature_Air_2m_Max_24h_Model2SelSeasonals_eval.nc
  • models_Temperature_Air_2m_Max_Day_Time_Model2SelSeasonals_eval.nc
  • models_Temperature_Air_2m_Mean_24h_Model2SelSeasonals_eval.nc
  • models_Temperature_Air_2m_Mean_Day_Time_Model2SelSeasonals_eval.nc
  • models_Temperature_Air_2m_Mean_Night_Time_Model2SelSeasonals_eval.nc
  • models_Temperature_Air_2m_Min_24h_Model2SelSeasonals_eval.nc
  • models_Temperature_Air_2m_Min_Night_Time_Model2SelSeasonals_eval.nc
  • models_Vapour_Pressure_Mean_Model2SelSeasonals_eval.nc
  • models_Wind_Speed_10m_Mean_Model2SelSeasonals_eval.nc

Overall, the temperature, humidity and wind speed variables benefit most from the correction. The MAE is reduced by 30% to 60% in the majority of cases. Grid points being located in mountainous areas or along coasts and lakes are improved most. This is not surprising as these are the areas where the largest systematic differences between ERA5 and HRES can be expected. But not only the relative improvements are quite large, also the absolute MAE values after the correction are small. The MAE for the 24h mean of the 2m temperatures (2t_davg) for example is for all continents below 0.72K, and for 4 of 6 continents even below 0.51K.

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