This dataset contains: daily (mean and maximum) and monthly (mean) climatologies of 1-day and 3-day all-precipitation and rain, and intensity-duration-frequency parameters and curves per catchment

COIN2 (COst of INaction 2) aims to quantify the future costs of not mitigating climate change, that would specifically affect Austria. To that end bias-corrected and down-scaled climate projections from the EURO-CORDEX ensemble are used to generate input data for a diverse set of impact models, spanning sectors from forestry and agriculture, health, water supply, tourism, etc.

From the original ÖKS15 (https://doi.org/10.60669/b37q-jd39) datasets:

SDM_ICHEC-EC-EARTH_rcp45_r1i1p1_KNMI-RACMO22E, SDM_ICHEC-EC-EARTH_rcp85_r1i1p1_KNMI-RACMO22E, SDM_IPSL-IPSL-CM5A-MR_rcp85_r1i1p1_IPSL-INERIS-WRF331F, SDM_IPSL-IPSL-CM5A-MR_rcp45_r1i1p1_IPSL-INERIS-WRF331F, SDM_MOHC-HadGEM2-ES_rcp85_r1i1p1_CLMcom-CCLM4-8-17, SDM_MOHC-HadGEM2-ES_rcp45_r1i1p1_CLMcom-CCLM4-8-17, SDM_MPI-M-MPI-ESM-LR_rcp45_r1i1p1_SMHI-RCA4, SDM_MPI-M-MPI-ESM-LR_rcp85_r1i1p1_SMHI-RCA4;

mean daily temperature (tas) and daily precipitation sums (pr) were used to generate the daily (mean and maximum) and monthly (mean) climatologies of rain and all precipitation types, and the intensity-duration-frequency curves over 3 distinct time periods: 2001-2020 (present), 2041-2060 (2050) and 2071-2090 (2080). Precipitation intensity-duration-frequency (idf) parameters were generated using lmoments3 (https://lmoments3.readthedocs.io/stable/) with yearly Block Maxima of the precipitation amounts over the respective duration (1 day to 15 days). Rain was estimated as precipitation falling on days with an average daily temperature >0°C.

The results were aggregated to display average catchment information (https://nxc.joanneum.at/index.php/s/93rmbockDzKAwKY).

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