Dataset Open Access

High-resolution future climate data for species distribution models in Europe

De Troch, Rozemien; Termonia, Piet; Van Schaeybroeck, Bert

Project leader(s)
Groom, Quentin
Project member(s)
Strubbe, Diederik; Davis, Amy; Desmet, Peter

Description

This dataset contains a set of 13 climatological variables (Variable, VariableName) at a spatial resolution of 1x1km for Europe (nx = 13147, ny = 6071) for historical (ClimatePeriod) and future climate conditions. These variables are a subset of the so-called bioclimatic variables that are often part of global gridded datasets (e.g. WorldClim, CHELSA) that have been specifically developed for species distribution modelling and ecological applications.

The climatological data correspond to 35-year (Startyear_Endyear = 1971_2005) and 30-year (Startyear_Endyear = 2041_2070) mean values representing respectively historical and future climate conditions. To account for the future climate conditions, three possible emission scenarios of greenhouse gases as defined by the Intergovernmental Panel on Climate Change (IPCC) are used (ClimatePeriod = rcp26, rcp45, rcp85).

The complete set of variables (var[1-13]) for which historical and future climate data layers are produced are given below.

The source data for the climate layers were assembled from the EURO-CORDEX archive (Kotlarski et al., 2014). More specifically, we have used the regional climate model simulations for Europe at a spatial resolution of 12.5x12.5km on which a three-step statistical downscaling approach has been applied:

  1. Processing (averaging, totals, …) of all available time series of the EURO-CORDEX model experiments (ClimatePeriod = evaluation, historical, rcp) for the climatological variables.
  2. Interpolation of the data layers from the 12.5x12.5km EURO-CORDEX grid to a 1x1km spatial CHELSA (Karger et al., 2017) reference grid (see files lat_1km.csv and lon_1km.csv).
  3. Calculate differences between the 1x1km-interpolated variables (Variable = only for var[1-9]) from the evaluation model experiments (or ClimatePeriod) and the corresponding reference bioclimatic CHELSA variables. In order to account for possible biases present in the EURO-CORDEX climate models, these differences (or biases) are then subtracted from the respective 1x1-km-interpolated variables for the historical and rcp model experiments (ClimatePeriod).

The dimensions of the 1x1km grid (excl. the first row and column):

  • y-dimension = number of columns = 6071
  • x-dimension = number of rows = 13147

The longitudes and latitudes of respectively the southwest and northeast corner of the grid are:

  • longitude -44.592; latitude 21.991 (southwest corner)
  • longitude 64.967; latitude 72.583 (northeast corner)

The climatological variables are used as input data for the species distribution modelling of Invasive Alien Species for the Tracking Invasive Alien Species (TrIAS) project.

Variables

  • Variable (VariableName): Unit
  • var1 (AnnualMeanTemperature): °C
  • var2 (AnnualAmountPrecipitation): mm year-1
  • var3 (AnnualVariationPrecipitation): coefficient of variation
  • var4 (AnnualVariationTemperature): stdev
  • var5 (MaximumTemperatureWarmestMonth): °C
  • var6 (MinimumTemperatureColdestMonth): °C
  • var7 (TemperatureAnnualRange): °C
  • var8 (PrecipitationWettestMonth): mm
  • var9 (PrecipitationDriestMonth): mm
  • var10 (30yrMeanAnnualCumulatedGDDAbove5degreesC): °C days
  • var11 (AnnualMeanPotentialEvapotranspiration): mm day-1
  • var12 (AnnualMeanSolarRadiation): W m-2
  • var13 (AnnualVariationSolarRadiation): stdev

Files

  • varX_VariableName_ClimatePeriod_Startyear_Endyear.csv: climatological data layers for the 13 variables listed above
  • lon_1km.csv: longitudes for the 1x1km grid
  • lat_1km.csv: latitudes for the 1x1km grid
This work has been funded under the Belgian Science Policies Brain program (BelSPO BR/165/A1/TrIAS). We also acknowledge the World Climate Research Programme's Working Group on Regional Climate, and the Working Group on Coupled Modelling, former coordinating body of CORDEX and responsible panel for CMIP5.
Files (33.3 GB)
Name Size
lat_1km.csv
md5:715558a2cf1312a09406e882d059fae2
1.3 GB Download
lon_1km.csv
md5:402a2d72f626ca9d47e18af50aafcf7d
1.4 GB Download
var10_30yrMeanAnnualCumulatedGDDAbove5degreesC_rcp26_2041_2070.csv
md5:6a8d4151653c875fb3a9b8b4e783364d
846.5 MB Download
var10_30yrMeanAnnualCumulatedGDDAbove5degreesC_rcp45_2041_2070.csv
md5:3ec06ec28165372bca826df3f795d0fc
846.5 MB Download
var10_30yrMeanAnnualCumulatedGDDAbove5degreesC_rcp85_2041_2070.csv
md5:fa6fae72857bf315376f94be4486d5e8
846.5 MB Download
var10_35yrMeanAnnualCumulatedGDDAbove5degreesC_historical_1971_2005.csv
md5:10c3bd574cae1144b29b4d14c6f79732
846.5 MB Download
var11_AnnualMeanPotentialEvapotranspiration_historical_1971_2005.csv
md5:4aa348f868b8cca5a873ffed88cdb6a2
855.1 MB Download
var11_AnnualMeanPotentialEvapotranspiration_rcp26_2041_2070.csv
md5:343f871e7ac089682ca3ed0ddf6d25fc
856.3 MB Download
var11_AnnualMeanPotentialEvapotranspiration_rcp45_2041_2070.csv
md5:3f25e6b1a07dd2aaa5ad114650d0d102
852.3 MB Download
var11_AnnualMeanPotentialEvapotranspiration_rcp85_2041_2070.csv
md5:bbc2244dad107315c90b69ee2438e1e6
852.3 MB Download
var12_AnnualMeanSolarRadiation_historical_1971_2005.csv
md5:c77c3e9bf4a4d0d9bf8e8bd425fda3af
846.5 MB Download
var12_AnnualMeanSolarRadiation_rcp26_2041_2070.csv
md5:8d69cd029bba4e2121973b94097f79ac
846.5 MB Download
var12_AnnualMeanSolarRadiation_rcp45_2041_2070.csv
md5:12f7a2b84333695f4d0e5dc934293a1f
846.5 MB Download
var12_AnnualMeanSolarRadiation_rcp85_2041_2070.csv
md5:bd3f2fd9d8f50cc522c0d0a2e6b206d9
846.5 MB Download
var13_AnnualVariationSolarRadiation_historical_1971_2005.csv
md5:ea7e71d8a81524c8fe2f3f7be4e48aaa
846.5 MB Download
var13_AnnualVariationSolarRadiation_rcp26_2041_2070.csv
md5:60532a100b4c774a16f6a4b20e0cc027
846.5 MB Download
var13_AnnualVariationSolarRadiation_rcp45_2041_2070.csv
md5:172a1ffe041f6ce102b354d3ad62b16c
846.5 MB Download
var13_AnnualVariationSolarRadiation_rcp85_2041_2070.csv
md5:37a51b651bb18493c4da8bf4600314cf
846.5 MB Download
var1_AnnualMeanTemperature_historical_1971_2005.csv
md5:dd0df6e34625c04793b06c8d794f0775
482.8 MB Download
var1_AnnualMeanTemperature_rcp26_2041_2070.csv
md5:abd33bf06b2f5c08396a3db01099967b
480.8 MB Download
var1_AnnualMeanTemperature_rcp45_2041_2070.csv
md5:ccd42182815ea59871b5731e6e239080
479.1 MB Download
var1_AnnualMeanTemperature_rcp85_2041_2070.csv
md5:b9cecdbf4346eafeee75bcc4137e59d2
478.1 MB Download
var2_AnnualAmountPrecipitation_historical_1971_2005.csv
md5:3483b779287501628af4a10bc43f7061
477.5 MB Download
var2_AnnualAmountPrecipitation_rcp26_2041_2070.csv
md5:07559af3f8e5e97230bad4347a176138
477.5 MB Download
var2_AnnualAmountPrecipitation_rcp45_2041_2070.csv
md5:58568c006e22f51f6ba602afe014be75
477.5 MB Download
var2_AnnualAmountPrecipitation_rcp85_2041_2070.csv
md5:5b3e8609396242bfc8f75f7b42ce3023
477.5 MB Download
var3_AnnualVariationPrecipitation_historical_1971_2005.csv
md5:8f26afb021c7a75c5a78a942c4f7b9a7
478.2 MB Download
var3_AnnualVariationPrecipitation_rcp26_2041_2070.csv
md5:bb8242581148bd0e1fe64dd5322365b8
478.2 MB Download
var3_AnnualVariationPrecipitation_rcp45_2041_2070.csv
md5:dbffaafa444e79e3ae26cf143beb20ed
478.2 MB Download
var3_AnnualVariationPrecipitation_rcp85_2041_2070.csv
md5:bf0e1533e19ac6929dc6fb884b4a8e1b
478.2 MB Download
var4_AnnualVariationTemperature_historical_1971_2005.csv
md5:be0db70eb895d93218a38adb8d811cd5
476.6 MB Download
var4_AnnualVariationTemperature_rcp26_2041_2070.csv
md5:0c7c6d5da8e598eecc0c917cb6f7e90c
476.5 MB Download
var4_AnnualVariationTemperature_rcp45_2041_2070.csv
md5:2646b1d80ee029c0d7f0038b237be167
476.6 MB Download
var4_AnnualVariationTemperature_rcp85_2041_2070.csv
md5:ec1798547145abdc51c80bd538b01899
476.6 MB Download
var5_MaximumTemperatureWarmestMonth_historical_1971_2005.csv
md5:66385fcfc982ee227e96af8cb504b8b9
476.6 MB Download
var5_MaximumTemperatureWarmestMonth_rcp26_2041_2070.csv
md5:0cf1a2baa00a28e5628b443c6d086cf0
476.6 MB Download
var5_MaximumTemperatureWarmestMonth_rcp45_2041_2070.csv
md5:f041199984959db7f0b3e00d26fca934
476.6 MB Download
var5_MaximumTemperatureWarmestMonth_rcp85_2041_2070.csv
md5:9a398674e577c4977dd5dfe89705e2e1
476.6 MB Download
var6_MinimumTemperatureColdestMonth_historical_1971_2005.csv
md5:6c88f4bfdc7328f3cbd77163b7a29443
495.3 MB Download
var6_MinimumTemperatureColdestMonth_rcp26_2041_2070.csv
md5:c9a5ee4d3f211ba5c96e56ef6c7cda9d
494.5 MB Download
var6_MinimumTemperatureColdestMonth_rcp45_2041_2070.csv
md5:9d3b69ab4af8dbe9a90e914c8552244a
494.3 MB Download
var6_MinimumTemperatureColdestMonth_rcp85_2041_2070.csv
md5:2cbcbb011e1b0d441788f4fdb09f34fc
493.9 MB Download
var7_TemperatureAnnualRange_historical_1971_2005.csv
md5:47c002ceef517bbc78db5a1bbd942fb7
476.5 MB Download
var7_TemperatureAnnualRange_rcp26_2041_2070.csv
md5:2bc0a1dee13b9200a23e7bec644e6f79
476.6 MB Download
var7_TemperatureAnnualRange_rcp45_2041_2070.csv
md5:f74a36d4887427b2938e691897527ab5
476.6 MB Download
var7_TemperatureAnnualRange_rcp85_2041_2070.csv
md5:fa62a530dc6d7634151c240b73047abd
476.6 MB Download
var8_PrecipitationWettestMonth_historical_1971_2005.csv
md5:fe3dd854578770bc67b2b2a4dd70af21
477.5 MB Download
var8_PrecipitationWettestMonth_rcp26_2041_2070.csv
md5:e34387f470facf1ea6a0b361fa67e19a
477.5 MB Download
var8_PrecipitationWettestMonth_rcp45_2041_2070.csv
md5:c7604e6f6a1b69c107f754b8937b857f
477.5 MB Download
var8_PrecipitationWettestMonth_rcp85_2041_2070.csv
md5:ffa970adf2177090cec02a89c8febe89
477.5 MB Download
var9_PrecipitationDriestMonth_historical_1971_2005.csv
md5:3a25678f067c5cc9bddde20943cbad3a
406.8 MB Download
var9_PrecipitationDriestMonth_rcp26_2041_2070.csv
md5:678551aa4cfb9a01d0e9eaf5ed145b20
406.8 MB Download
var9_PrecipitationDriestMonth_rcp45_2041_2070.csv
md5:416ff067821f6a1c3e8025224e80b12c
406.7 MB Download
var9_PrecipitationDriestMonth_rcp85_2041_2070.csv
md5:30d89c54ad41967104936851fbff9440
406.8 MB Download
  • Kotlarski et al. (2014). Regional climate modeling on European scales: a joint standard evaluation of the EURO-CORDEX RCM ensemble. https://doi.org/10.5194/gmd-7-1297-2014

  • Karger et al. (2017). Climatologies at high resolution for the earth's land surface areas. https://doi.org/10.1038/sdata.2017.122

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