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Physics Parameterization Selection in RCM and ESM Simulations Revisited: New Supporting Approach Based on Empirical Copulas

Laux, Patrick; Kunstmann, Harald; Kerandi, Noah

This study aims at a new supplementary approach to identify optimal configurations of physics parameterizations in regional climate models (RCMs) and earth system models (ESMs). Traditional approaches separately evaluate variable performance, which may lead to an inappropriate selection of physics parameterization combinations. Besides traditional approaches, we suggest an additional selection approach by considering the joint dependence structure (covariance structure) between key meteorological variables, i.e., precipitation P and temperature T. This is accomplished by empirical P and T copula functions and the χ 2
-test, and is demonstrated in two locations in Kenya with different major precipitation processes. It is shown that the selection based on traditional approaches alone may lead to nonoptimal decisions in terms of joint dependence structure between P and T. It was found that the copula-based approach may reduce the need for complex multivariate bias correction, as demonstrated using local intensity scaling for P and linear scaling for T. The new approach may contribute to improving RCM and ESM simulations and climate-impact studies worldwide.

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Verlagsausgabe §
DOI: 10.5445/IR/1000093944
Veröffentlicht am 24.04.2019
DOI: 10.3390/atmos10030150
Zitationen: 1
Web of Science
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 2073-4433
KITopen-ID: 1000093944
HGF-Programm 12.02.03 (POF III, LK 01) Regional Climate-and Water Cycle Variab.
Erschienen in Atmosphere
Verlag MDPI
Band 10
Heft 3
Seiten Article: 150
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 19.03.2019
Schlagwörter physics parameterization; regional climate models; earth system models; performance evaluation; empirical copula; χ2-test; bias correction
Nachgewiesen in Scopus
Web of Science
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