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Comment on "Bias correction, quantile mapping, and downscaling: revisiting the inflation issue"

  • In a recent paper, Maraun describes the adverse effects of quantile mapping on downscaling. He argues that when large-scale GCM variables are rescaled directly to small-scale fields or even station data, genuine small-scale covariability is lost and replaced by uniform variability inherited from the larger scales. This leads to a misrepresentation mainly of areal means and long-term trends. This comment acknowledges the former point, although the argument is relatively old, but disagrees with the latter, showing that grid-size long-term trends can be different from local trends. Finally, because it is partly incorrectly addressed, some clarification is added regarding the inflation issue, stressing that neither randomization nor inflation is free of unverified assumptions.

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Metadaten
Author:Gerd BürgerORCiDGND
DOI:https://doi.org/10.1175/JCLI-D-13-00184.1
ISSN:0894-8755 (print)
ISSN:1520-0442 (online)
Parent Title (English):Journal of climate
Publisher:American Meteorological Soc.
Place of publication:Boston
Document Type:Preprint
Language:English
Year of first Publication:2014
Year of Completion:2014
Release Date:2017/03/27
Tag:Climate change; Climate variability; Statistics
Volume:27
Issue:4
Pagenumber:2
First Page:1819
Last Page:1820
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie
Peer Review:Referiert