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Toward Improved Parameterizations of Reservoir Operation in Ungauged Basins: A Synergistic Framework Coupling Satellite Remote Sensing, Hydrologic Modeling, and Conceptual Operation Schemes

Dong, Ningpeng; Yang, Mingxiang; Wei, Jianhui ORCID iD icon 1,2; Arnault, Joël 1,2; Laux, Patrick ORCID iD icon 1,2; Xu, Shiqin; Wang, Hao; Yu, Zhongbo; Kunstmann, Harald 1,2
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)
2 Zukunftscampus (CAMPUS), Karlsruher Institut für Technologie (KIT)

Abstract:

Assessments of water and energy security over historical and future periods require hydrologic models that can accurately simulate reservoir operations. However, scare reservoir operation data limits the accuracy of current reservoir representations in simulating reservoir behaviors. Furthermore, the reliability of these representations under changing inflow regimes remains unclear, which makes their application for long future planning horizons questionable. To this end, we propose a synergistic framework to predict the release, storage, and hydropower production of ungauged reservoirs (i.e., reservoirs without in-situ inflow, release, storage, and operating rules) by combining remotely sensed reservoir operating patterns and model-simulated reservoir inflow with conceptual reservoir operation schemes within a land surface-hydrologic model. A previously developed reservoir operation scheme is extended with a storage anomaly based calibration approach to accommodate the relatively short time series and large time intervals of remotely sensed data. By setting up controlled experiments in the Yalong River Basin in China, we show that remote sensing can improve the parameter estimation and simulations of ungauged reservoirs for all selected reservoir operation schemes, thereby improving the downstream flood and streamflow simulations. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000160865
Veröffentlicht am 08.09.2023
Originalveröffentlichung
DOI: 10.1029/2022WR033026
Scopus
Zitationen: 13
Web of Science
Zitationen: 12
Dimensions
Zitationen: 14
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Zukunftscampus (CAMPUS)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 03.2023
Sprache Englisch
Identifikator ISSN: 0043-1397, 1944-7973
KITopen-ID: 1000160865
HGF-Programm 12.11.33 (POF IV, LK 01) Regional Climate and Hydrological Cycle
Erschienen in Water Resources Research
Verlag John Wiley and Sons
Band 59
Heft 3
Seiten Nr.: e2022WR033026
Vorab online veröffentlicht am 07.03.2023
Nachgewiesen in Web of Science
Dimensions
Scopus
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