Q
Qingyun Duan
Researcher at Hohai University
Publications - 213
Citations - 26241
Qingyun Duan is an academic researcher from Hohai University. The author has contributed to research in topics: Climate change & Precipitation. The author has an hindex of 62, co-authored 196 publications receiving 21640 citations. Previous affiliations of Qingyun Duan include University of Arizona & Beijing Normal University.
Papers
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Journal ArticleDOI
Effective and efficient global optimization for conceptual rainfall‐runoff models
TL;DR: In this article, a shuffled complex evolution (SCE-UA) method was proposed to solve the multiple optima problem for the conceptual rainfall runoff (CRR) model SIXPAR.
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Shuffled complex evolution approach for effective and efficient global minimization
TL;DR: This paper discusses five of these characteristics and presents a strategy for function optimization called the shuffled complex evolution (SCE) method, which promises to be robust, effective, and efficient for a broad class of problems.
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Optimal use of the SCE-UA global optimization method for calibrating watershed models
TL;DR: The essential concepts of the SCE-UA method are reviewed and the results of several experimental studies in which the National Weather Service river forecast system-soil moisture accounting model was calibrated using different algorithmic parameter setups are presented.
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The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system
Kenneth E. Mitchell,Dag Lohmann,Paul R. Houser,Eric F. Wood,John Schaake,Alan Robock,Brian Cosgrove,Justin Sheffield,Qingyun Duan,Lifeng Luo,Lifeng Luo,R. Wayne Higgins,Rachel T. Pinker,J. Dan Tarpley,Dennis P. Lettenmaier,Curtis H. Marshall,Curtis H. Marshall,Jared Entin,Ming Pan,Wei Shi,Victor Koren,Jesse Meng,Jesse Meng,Bruce H. Ramsay,Andrew A. Bailey +24 more
TL;DR: A real-time and retrospective North American Land Data Assimilation System (NLDAS) is presented in this article, which consists of four land models executing in parallel in uncoupled mode, common hourly surface forcing, and common streamflow routing: all using a 1/8° grid over the continental United States.
Journal ArticleDOI
Modeling of land surface evaporation by four schemes and comparison with FIFE observations
Fei Chen,Kenneth E. Mitchell,John Schaake,Yongkang Xue,Hua-Lu Pan,Victor Koren,Qingyun Duan,Michael Ek,Alan K. Betts +8 more
TL;DR: In this article, the authors tested four land surface parameterization schemes against long-term (5 months) area-averaged observations over the 15 km × 15 km First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE) area.