Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)

Urheber*innen
/persons/resource/slange

Lange,  Stefan
Potsdam Institute for Climate Impact Research;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (frei zugänglich)

8552oa.pdf
(Verlagsversion), 5MB

Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Lange, S. (2019): Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0). - Geoscientific Model Development, 12, 7, 3055-3070.
https://doi.org/10.5194/gmd-12-3055-2019


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_23254
Zusammenfassung
In this paper I present new methods for bias adjustment and statistical downscaling that are tailored to the requirements of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP). In comparison to their predecessors, the new methods allow for a more robust bias adjustment of extreme values, preserve trends more accurately across quantiles, and facilitate a clearer separation of bias adjustment and statistical downscaling. The new statistical downscaling method is stochastic and better at adjusting spatial variability than the old interpolation method. Improvements in bias adjustment and trend preservation are demonstrated in a cross-validation framework.