Abstract. Constantly changing climate, the availability of a higher resolved digital elevation model and further development of geostatistical interpolation methods gave reason for updating the most frequently demanded climate maps out of the Austrian digital climate atlas from 1961-1990 to 1971-2000. To achieve a station density as high as possible, data from eleven national and foreign institutes were collected and gapfilled. According to the climate parameter, different geostatistical interpolation methods (including regionalised multilinear regressions, geographically weighted regressions and curve fitting to base parameter) were applied. The resultant 17 grids concern 30-year-means of air temperature, precipitation and snow parameters as well as derived indices. They are now available for a variety of scientific and planning purposes.

Loss and damage databases are essential tools within the disaster risk management cycle for making informed decisions. However, even in data-rich countries such as Austria, no consistent and curated multi-hazard database is available. Based on the requirements of the United Nations, the European Union, as well as on national demands to deal with disaster impacts, we conceived and set up a demonstrator for a consistent multi-hazard national event-based loss and damage database that addresses event identification, loss accounting and disaster forensics according to international standards. We built our database on already existing data from administration and federal agencies and formulated a process to combine those data in a synergetic way. Furthermore, we tested how earth observation and weather data could help to derive more robust disaster event information. Our demonstrator focuses on two Austrian federal provinces, three hazard types—floods, storms and mass movements—and the period between 2005 and 2018. By analyzing over 140.000 single event descriptions, we conclude that—despite some limitations in retrospective data harmonization—the implementation of a curated event-based national loss and damage database is feasible and adds significant value compared to the usage of single national datasets or existing international databases such as EM-DAT or the Risk Data Hub. With our demonstrator, we are able to support the national risk assessment, the national Sendai Monitoring and federal disaster risk management with the provision of best possible harmonized loss and damage information, tailored indicators and statistics as well as hazard impact maps on the municipality scale.