Testing bias adjustment methods for regional climate change applications under observational uncertainty and resolution mismatch

Abstract Systematic biases in climate models hamper their direct use in impact studies and, as a consequence, many statistical bias adjustment methods have been developed to calibrate model outputs against observations. The application of these methods in a climate change context is problematic sinc...

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Bibliographic Details
Main Authors: Ana Casanueva, Sixto Herrera, Maialen Iturbide, Stefan Lange, Martin Jury, Alessandro Dosio, Douglas Maraun, José M. Gutiérrez
Format: Article
Language:English
Published: Wiley 2020-07-01
Series:Atmospheric Science Letters
Subjects:
Online Access:https://doi.org/10.1002/asl.978