Author Page for Xingyuan Chen

A Hydrogeophysical Framework to Assess Infiltration During a Simulated Ecosystem-Scale Flooding Experiment

Number of pages: 52 Posted: 07 Jun 2023

Moses B. Adebayo, Vanessa L. Bailey, Xingyuan Chen, Anya M. Hopple, Peishi Jiang, Bing Li, Zhi Li, James M. Martin-Hayden, Patrick J. Megonigal, Peter J. Regier, Roy Rich, James C. Stegen, Richard W. Smith, Nicholas D. Ward, Stella C. Woodard and Kennedy O. Doro

University of Toledo, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, Smithsonian Environmental Research Center, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, University of Toledo, Smithsonian Environmental Research Center, Government of the United States of America - Pacific Northwest National Laboratory, Smithsonian Environmental Research Center, Government of the United States of America - Pacific Northwest National Laboratory, affiliation not provided to SSRN, Government of the United States of America - Pacific Northwest National Laboratory, affiliation not provided to SSRN and University of Toledo

Downloads 74 (844,901)

Abstract:

2.

Impact of Topography and Climate on Post-Fire Vegetation Recovery Across Different Burn Severity and Land Cover Types Through Machine Learning

Number of pages: 21 Posted: 29 Feb 2024

Faria Zahura, Gautam Bisht, Zhi Li, Sarah McKnight and Xingyuan Chen

Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, University of Dayton and Government of the United States of America - Pacific Northwest National Laboratory

Downloads 49 (1,074,648)

Citation 1

Abstract:

3.

Optimizing Parameter Learning and Calibration in an Integrated Hydrological Model: Impact of Observation Length and Information

Number of pages: 24 Posted: 24 Feb 2024

Peishi Jiang, Pin Shuai, Alexander Y. Sun and Xingyuan Chen

Government of the United States of America - Pacific Northwest National Laboratory, Utah State University, affiliation not provided to SSRN and Government of the United States of America - Pacific Northwest National Laboratory

Downloads 42 (1,170,409)

Citation 1

Abstract:

4.

Time to Anoxia: Observations and Predictions of Oxygen Drawdown Following Coastal Flood Events

Number of pages: 28 Posted: 07 Aug 2023

affiliation not provided to SSRN, affiliation not provided to SSRN, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, University of Toledo, - Joint Global Change Research Institute, Government of the United States of America - Pacific Northwest National Laboratory, University of Toledo, University of Toledo, Government of the United States of America - Pacific Northwest National Laboratory, University of Toledo, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, Smithsonian Environmental Research Center, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Oak Ridge National Laboratory, Smithsonian Environmental Research Center, Government of the United States of America - Oak Ridge National Laboratory, Government of the United States of America - Argonne National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, University of Toledo and Government of the United States of America - Pacific Northwest National Laboratory

Downloads 41 (1,183,237)

Citation 1

Abstract:

5.

A Diagnostic Investigation of the Uncertainty Cascade: How MeteorologicalForcing Shapes Hydrologic Model Performance, Parameterization,and Sensitivity

Number of pages: 54 Posted: 24 Feb 2026

Kyongho Son, Antonia Hadjimichael and Xingyuan Chen

Government of the United States of America - Pacific Northwest National Laboratory, Pennsylvania State University and Government of the United States of America - Pacific Northwest National Laboratory

Downloads 9 (1,555,090)

Xingyuan Chen

Government of the United States of America - Pacific Northwest National Laboratory

5

215

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Scholarly Papers (5)

A Hydrogeophysical Framework to Assess Infiltration During a Simulated Ecosystem-Scale Flooding Experiment

Abstract:

Impact of Topography and Climate on Post-Fire Vegetation Recovery Across Different Burn Severity and Land Cover Types Through Machine Learning

Abstract:

Optimizing Parameter Learning and Calibration in an Integrated Hydrological Model: Impact of Observation Length and Information

Abstract:

Time to Anoxia: Observations and Predictions of Oxygen Drawdown Following Coastal Flood Events

Abstract:

A Diagnostic Investigation of the Uncertainty Cascade: How MeteorologicalForcing Shapes Hydrologic Model Performance, Parameterization,and Sensitivity

Abstract: