This dataset contains: daily and monthly climatologies of 1-day and 3-day all-precipitation and rain, and intensity-duration-frequency 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 and monthly 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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