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Qingyun Duan

Qingyun Duan

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Environmental Sciences
China
2023

D-Index & Metrics

Environmental Sciences

D-Index
81
Citations
39838
World Ranking
906
National Ranking
90

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in China Leader Award
  • 2012 - Fellow of American Geophysical Union (AGU)

Overview

Qingyun Duan is affiliated with Hohai University in China. Their research primarily focuses on environmental science and earth and planetary sciences, with specific attention to subfields including global and planetary change, atmospheric science, water science and technology, environmental engineering, and ecology.

The main topics in Duan's body of work include climate variability and models, hydrology and watershed management studies, meteorological phenomena and simulations, flood risk assessment and management, hydrological forecasting using artificial intelligence, precipitation measurement and analysis, and cryospheric studies and observations.

Frequent coauthors in Duan's research include Chiyuan Miao, Xuewei Fan, Jiaojiao Gou, Ruochen Sun, and Chenwei Shen.

Duan's publications have appeared repeatedly in several scientific journals. Notably, these venues include Journal of Hydrology, Reviews of Geophysics, Water Resources Research, Journal of Geophysical Research Atmospheres, and Earth's Future.

Some of Duan's recent papers include:

  • The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020, Environmental Modelling & Software)
  • Ensemble flood forecasting: Current status and future opportunities (2020, Wiley Interdisciplinary Reviews Water)
  • Global surface air temperatures in CMIP6: historical performance and future changes (2020, Environmental Research Letters)
  • Sensitivity Analysis-Based Automatic Parameter Calibration of the VIC Model for Streamflow Simulations Over China (2020, Water Resources Research)
  • The Performance of CMIP6 Versus CMIP5 in Simulating Temperature Extremes Over the Global Land Surface (2020, Journal of Geophysical Research Atmospheres)

Qingyun Duan was awarded the status of Fellow of the American Geophysical Union (AGU) in 2012.

Best Publications

  • Effective and efficient global optimization for conceptual rainfall‐runoff models

    Qingyun Duan;Soroosh Sorooshian;Vijai Gupta

  • Shuffled complex evolution approach for effective and efficient global minimization

    Q. Y. Duan;V. K. Gupta;S. Sorooshian

  • Optimal use of the SCE-UA global optimization method for calibrating watershed models

    Qingyun Duan;Soroosh Sorooshian;Vijai K. Gupta

  • A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons

    Qiaohong Sun;Chiyuan Miao;Qingyun Duan;Hamed Ashouri

  • 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

  • Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products

    Youlong Xia;Kenneth Mitchell;Michael Ek;Justin Sheffield

  • Modeling of land surface evaporation by four schemes and comparison with FIFE observations

    Fei Chen;Kenneth Mitchell;John Schaake;Yongkang Xue

  • Multi-model ensemble hydrologic prediction using Bayesian model averaging

    Qingyun Duan;Newsha K. Ajami;Xiaogang Gao;Soroosh Sorooshian

  • Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops

    Q. Duan;J. Schaake;V. Andréassian;S. Franks

  • Real‐time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project

    Brian A. Cosgrove;Brian A. Cosgrove;Dag Lohmann;Kenneth E. Mitchell;Paul R. Houser

  • An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction

    Newsha K. Ajami;Qingyun Duan;Soroosh Sorooshian

  • A parameterization of snowpack and frozen ground intended for NCEP weather and climate models

    V. Koren;J. Schaake;K. Mitchell;Q.-Y. Duan

  • A global soil data set for earth system modeling

    Wei Shangguan;Yongjiu Dai;Qingyun Duan;Baoyuan Liu

  • Calibration of rainfall‐runoff models: Application of global optimization to the Sacramento Soil Moisture Accounting Model

    Soroosh Sorooshian;Qingyun Duan;Vijai Kumar Gupta

  • A China data set of soil properties for land surface modeling

    Wei Shangguan;Yongjiu Dai;Baoyuan Liu;Axing Zhu

  • The Art and Science of Climate Model Tuning

    Frédéric Hourdin;Thorsten Mauritsen;Andrew Gettelman;Jean-Christophe Golaz

  • Simple water balance model for estimating runoff at different spatial and temporal scales

    John C. Schaake;Victor I. Koren;Qing-Yun Duan;Kenneth Mitchell

  • Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance

    A. J. Newman;M. P. Clark;K. Sampson;A. Wood

  • Continental‐scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS‐2): 2. Validation of model‐simulated streamflow

    Youlong Xia;Kenneth Mitchell;Michael Ek;Brian Cosgrove

  • The distributed model intercomparison project (DMIP): Motivation and experiment design

    Michael B. Smith;Dong Jun Seo;Victor I. Koren;Seann M. Reed

Frequent Co-Authors

Chiyuan Miao
Chiyuan Miao Beijing Normal University
Lifeng Luo
Lifeng Luo Michigan State University
Kenneth E. Mitchell
Kenneth E. Mitchell National Oceanic and Atmospheric Administration
Eric F. Wood
Eric F. Wood Princeton University
Alan Robock
Alan Robock Rutgers, The State University of New Jersey
Soroosh Sorooshian
Soroosh Sorooshian University of California, Irvine
Justin Sheffield
Justin Sheffield University of Southampton
R. Wayne Higgins
R. Wayne Higgins National Oceanic and Atmospheric Administration
Paul R. Houser
Paul R. Houser George Mason University
Rachel T. Pinker
Rachel T. Pinker University of Maryland, College Park

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