International databases on disasters such as OFDA/CRED (www.emdat.be) give quantitative information and historical overviews about the important features of extreme weather events, e.g. frequency, magnitude and level of destruction/damage, in different/specific regions around the world. This historical information is valuable sources for assessing climate and weather impacts and natural calamities. Spatio-temporal, i.e. space-time, distributions of weather disasters can be of values for understanding how dangerous is dangerous what regards disasters and what we can expect in the future. Also, the possibility to compare the compiled data with existing climate change theories. Indeed, assessing such data on spatio-temporal bases can be valuable tools for model testing, validation and improvement, i.e. through uncovering weaknesses and strengths in climate models.