Climate Change Centre Austria

This section of the datahub is a central data repository for the CCCA (ccca.ac.at) to support FAIR and open science and to serve as a central point for sharing climate data and information. For questions and inquiries contact datenzentrum@ccca.ac.at.

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1 - 15 of 15 Datasets

This dataset follows the recommendations of the Klimaszenarien.AT initiative (https://klimaszenarien.at/) for the further use of ÖKS15 data. Specifically, Approach 2 ("Temporal shift to the current climate") was applied. As a result, the dataset...

ÖKS15, klimaszenarienat, Climate dataset, Climate projections

This dataset contains: monthly climatologies of mean, maximum and minimum temperatures, global radiation, precipitation, precipitation as snow; monthly climatologies of frequencies of hot and cold days, precipitation days, multiday(3)...

This dataset contains: mean monthly climatology (May-October) of min-, max- and mean temperatures, global radiation, relative humidity and dewpoint temperature, alongside the calculated heatindex and wet bulb globe temperature, population weighted...

This dataset contains: mean monthly climatology (May-October) of min-, max- and mean temperatures, global radiation, relative humidity and dewpoint temperature, alongside the calculated heatindex and wet bulb globe temperature, population weighted...

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...

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...

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...

This dataset contains: daily climatologies of minimum, maximum and mean temperatures, Kysely-day frequency and global radiation, and the corresponding daily fields for the years with the highest domain average temperature, on the original ÖKS15...

This dataset contains: mean growing season (March-September) Potential Evapotranspiration per municipality COIN2 (COst of INaction 2) aims to quantify the future costs of not mitigating climate change, that would specifically affect Austria. To...

Digital elevation model data for the ClimaProof domain on high (30 arcseconds) and low (0.1 degrees) resolution

Grid dataset

Daily regridded data of the used EURO-CORDEX models for maximum temperature, minimum temperature, mean relative humidity, total precipitation, global radiation, mean 10 m wind speed. The data has been regridded to a regular lat-lon grid.

Temperature, Precipitation, Radiation, Climate projections, Climate dataset, Humidity, Grid dataset, Wind

Daily observational dataset for maximum temperature, minimum temperature, mean temperature, mean relative humidity, total precipitation, global radiation, mean 10 m wind speed. The spatial resolution is 30arcsec.

Temperature, Precipitation, Observed weather phenomena, Climate dataset, Radiation, Humidity, Grid dataset, Wind

Bias-adjusted climate model data on daily resolution for maximum temperature, minimum temperature, mean relative humidity, total precipitation, global radiation, mean 10 m wind speed.

Temperature, Precipitation, Radiation, Climate projections, Climate dataset, Humidity, Grid dataset, Wind

Climate indicators calculated from bias-adjusted climate model outputs. Indicator definitions can be found here: https://test.wbcap-climaproof.net/climate-change-scenarios

Climate dataset, Climate projections, Grid dataset, Climate index

Climate indicators calculated from observational data. Indicator definitions can be found here: https://test.wbcap-climaproof.net/climate-change-scenarios

Climate dataset, Observed weather phenomena, Grid dataset, Climate index