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Precipitation of Mainland India: Copula‐based bias‐corrected daily CORDEX climate data for both mean and extreme values

Suman, Mayank; Maity, Rajib; Kunstmann, Harald


Changes in mean and extreme precipitation characteristics with changing climate may lead to an increase in frequency of hydrological extremes. For studying the impacts of the changing climate on hydrological systems, General Circulation Model (GCM)/Regional Climate Model (RCM) simulated precipitation are used. However, these products should be bias-corrected before used in hydrological simulations to predict hydrological extremes. Most of the existing bias-correction techniques suffer from either of two limitations – (a) they only reduce bias in selected precipitation quantile (either mean or extreme values), and/or (b) they exclude zero values from the analysis, even though their presence is significant in daily precipitation. In this study, a stochastic copula-based bias-correction method (Maity et al., J. Hydrometeorol., 20, 2019, 595), henceforth RMPH method, is used that corrects the bias in any quantile (mean and/or extreme values) of daily precipitation including zero values. The RMPH method is applied across Indian mainland to correct bias in simulated precipitation from the Coordinated Regional Climate Downscaling Experiment (CORDEX). ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000131515
Veröffentlicht am 15.04.2021
DOI: 10.1002/gdj3.118
Zitationen: 2
Web of Science
Zitationen: 3
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 06.2022
Sprache Englisch
Identifikator ISSN: 2049-6060, 2049-6060
KITopen-ID: 1000131515
HGF-Programm 12.11.33 (POF IV, LK 01) Regional Climate and Hydrology
Erschienen in Geoscience Data Journal
Verlag Wiley Open Access
Band 9
Heft 1
Seiten 58-73
Vorab online veröffentlicht am 09.04.2021
Nachgewiesen in Web of Science
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