Is bias correction of regional climate model (RCM) simulations possible for non-stationary conditions?
2013 (English)In: Hydrology and Earth System Sciences, ISSN 1027-5606, E-ISSN 1607-7938, Vol. 17, no 12, 5061-5077 p.Article in journal (Refereed) Published
In hydrological climate-change impact studies, regional climate models (RCMs) are commonly used to transfer large-scale global climate model (GCM) data to smaller scales and to provide more detailed regional information. Due to systematic and random model errors, however, RCM simulations often show considerable deviations from observations. This has led to the development of a number of correction approaches that rely on the assumption that RCM errors do not change over time. It is in principle not possible to test whether this underlying assumption of error stationarity is actually fulfilled for future climate conditions. In this study, however, we demonstrate that it is possible to evaluate how well correction methods perform for conditions different from those used for calibration with the relatively simple differential split-sample test.
Place, publisher, year, edition, pages
2013. Vol. 17, no 12, 5061-5077 p.
RCM, bias correction, temperature, precipitation, hydrology, climate change
Oceanography, Hydrology, Water Resources Climate Research Physical Geography
Research subject Hydrology; Physical Geography
IdentifiersURN: urn:nbn:se:su:diva-97563DOI: 10.5194/hess-17-5061-2013ISI: 000329061400022OAI: oai:DiVA.org:su-97563DiVA: diva2:679072
AuthorCount: 2;2013-12-132013-12-132014-01-27Bibliographically approved