CliSAP successfully finished in 2018. Climate research continues in the Cluster of Excellence "CLICCS".

Statistical climate modeling

STAtistical Regional climate model (STAR) was developed to project regional climates for the near future by resampling observed records with the biased bootstrapping method. It generates a date-to-date mapping through which a date from the observational period is assigned a date of the future projection period to fit a prescribed linear temperature trend (or trend of any other variable) that serves as the only constraint. Not only projections of station data but also of meteorological/hydrological/climatological variables can be obtained.

Owing to short CPU time required, STAR can produce a large number of realizations for assessing projection-related uncertainties. It has been successfully applied for different regions in the world. For details please visit the project website of STAR - STAtistical Resampling scheme. We are currently applying STAR for the Tibetan Plateau, the Amazon basin, and the Tarim basin. Details follow soon.