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Session Proposal: Global river modeling in the Anthropocene: Advancing model intercomparison and remote sensing data integration for societal benefits (AGU25)

H074
Global river modeling in the Anthropocene: Advancing model intercomparison and remote sensing data integration for societal benefits

Session ID#: 249252

Session Description:
Earth's river systems represent critical interfaces of complex climate-human interactions. Increasing flood risks and water scarcity have driven extensive hydraulic infrastructure development (e.g., dams/reservoirs, levees, water transfer projects), fundamentally altering natural flow regimes and reshaping river equilibrium. While significant progress has been made in global river modeling during the past decades, key challenges persist: (1) evaluating model performance under combined climate and anthropogenic pressures, (2) reconciling inter-model discrepancies in streamflow simulations, and (3) effectively integrating multi-source satellite data (e.g., optical, altimetry) to enhance human impact quantification. This session seeks cutting-edge research addressing these modeling frontiers, with particular interest in studies that bridge scientific advances with practical applications for water resource management and climate adaptation. We welcome contributions from observational, modeling, and interdisciplinary perspectives to foster robust discussions on the future of river system science.
Co-Sponsor(s):
  • SY - Science and Society
Index Terms:

1847 Modeling [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1856 River channels [HYDROLOGY]
1860 Streamflow [HYDROLOGY]
Primary Convener:  Peirong Lin, Peking University, Beijing, China and Augusto Getirana
Conveners:  Augusto Getirana, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Cedric H David, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Guy Schumann, RSS Hydro SARL, Luxembourg, Luxembourg and Augusto Getirana
 
Leveraging Multi-Sensor Observations for Global Reservoir Monitoring (1861283)
Elyssa Collins1, Augusto Getirana2, Sujay V Kumar1, Yeosang Yoon3, Chi Hsiang Huang4, Huilin Gao5 and Fuad Yassin6, (1)NASA Goddard Space Flight Center, Greenbelt, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)Northeastern University, Department of Civil and Environmental Engineering, Boston, MA, United States, (4)Texas A&M University, Water Management & Hydrological Science, College Station, United States, (5)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, United States, (6)University of Saskatchewan, Centre for Hydrology, Saskatoon, SK, Canada
 
Modeling dissolved organic carbon in managed U.S. rivers (1892588)
Hong-Yi Li1, Lingbo Li2, Guta Wakbulcho Wakbulcho Abeshu3, Xiaojuan Yang4, Jinyun Tang5, Zeli Tan6, Chang Liao7, Dongyu Feng7, Peter E Thornton4 and Ruby Leung7, (1)University of Houston, Houston, TX, United States, (2)University of Houston, Houston, United States, (3)University of Houston, Department of Civil and Environmental Engineering, Houston, TX, United States, (4)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, (5)Lawrence Berkeley Natl Lab, Climate and Ecosystem Sciences Division, Berkeley, United States, (6)Pacific Northwest National Laboratory, Richland, WA, United States, (7)Pacific Northwest National Laboratory, Richland, United States
 
Advancing Global Hydrological Assimilation: First Applications of CTRIP-HyDAS with Real SWOT Observations (Invited) (1906907)
Simon Munier, Météo-France, Toulouse, France, Kaushlendra Verma, CNRM, Météo-France, CNRS, Toulouse, France and Aaron Anthony Boone, CNRM, Université de Toulouse, Météo-France, CNRS, GMME, Toulouse, France
 
Damming the flow: Quantifying seasonal impacts of reservoirs on global streamflow and sediment transport dynamics (1922458)
Anqi Huang1, Guangyao Gao1 and Dr. Yadu Pokhrel2, (1)University of Chinese Academy of Sciences, Beijing, China, (2)Michigan State University, Department of Civil and Environmental Engineering, East Lansing, MI, United States
 
How reliable are global river discharge simulations? (1929987)
Yuan Yang1, Ming Pan1, Hylke Beck2, Dongmei Feng3, Augusto Getirana4, Chaopeng Shen5, Dai Yamazaki6, Colin J Gleason7, Peirong Lin8 and Cedric H David9, (1)University of California San Diego, Scripps Institution of Oceanography, Center for Western Weather and Water Extremes, La Jolla, United States, (2)King Abdullah University of Science and Technology, Physical Science and Engineering Division, Thuwal, Saudi Arabia, (3)University of Cincinnati Main Campus, Ohio, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, United States, (6)The University of Tokyo, Institute of Industrial Science, Tokyo, Japan, (7)University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, United States, (8)Peking University, Beijing, China, (9)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Global Reach Scale Hydrology: Progress and Challenges (Invited) (1941122)
Ming Pan1, Yuan Yang2, Peirong Lin3, Hylke Beck4, Chaopeng Shen5, Dai Yamazaki6, Dapeng Feng7, Matthew Heberger8, Zhenzhong Zeng9, Ather Abbas4, Cedric H David10, Michael T Durand11, Tamlin Pavelsky12, Renato P. M. Frasson13, George H. Allen14, Colin J Gleason15, Hui Lu16, Kun Yang17, Yang Hong18, Qiusheng Wu19, Weiming Hu20, Agniv Sengupta21, Luca Delle Monache21, Bo Guo22 and Robert Hartman23, (1)Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, University of California San Diego, San Diego, United States, (2)University of California San Diego, Scripps Institution of Oceanography, Center for Western Weather and Water Extremes, La Jolla, United States, (3)Peking University, Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Beijing, China, (4)King Abdullah University of Science and Technology, Physical Science and Engineering Division, Thuwal, Saudi Arabia, (5)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, United States, (6)The University of Tokyo, Institute of Industrial Science, Tokyo, Japan, (7)Pennsylvania State University Main Campus, University Park, United States, (8)San Francisco Estuary Institute, Richmond, United States, (9)Peking University, School of Environmental Science and Engineering, Beijing, China, (10)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (11)Byrd Polar and Climate Research Center, Columbus, United States, (12)University of North Carolina at Chapel Hill, Earth, Marine and Environmental Sciences, Chapel Hill, United States, (13)NASA Jet Propulsion Laboratory, Pasadena, United States, (14)Virginia Tech, Department of Geosciences, Blacksburg, United States, (15)University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, United States, (16)Tsinghua University, Department of Earth System Science, Beijing, China, (17)Tsinghua University, Beijing, China, (18)University of Oklahoma, School of Civil Engineering and Environmental Science, Norman, United States, (19)University of Tennessee, Knoxville, Department of Geography & Sustainability, Knoxville, United States, (20)James Madison University, School of Integrated Sciences, Harrisonburg, United States, (21)Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, UC San Diego, La Jolla, United States, (22)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tuscon, United States, (23)Robert K. Hartman Consulting Associates, Roseville, United States
 
Making streamflow data usable: Matching gauging stations to river networks with machine learning (1942715)
Simon Moulds1, Yinxue Liu2, Louise J. Slater2, Michel Wortmann2 and Boen Zhang2, (1)University of Edinburgh, School of Geosciences, Edinburgh, United Kingdom, (2)University of Oxford, School of Geography and the Environment, Oxford, United Kingdom
 
Spatial Decoupling of Streamflow and Precipitation Centroids Across Hierarchical River Networks (1949966)
Ziyun Yin1, Peirong Lin1, Dai Yamazaki2 and Haomei Lin1, (1)Peking University, Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Beijing, China, (2)The University of Tokyo, Institute of Industrial Science, Tokyo, Japan
 
Estimating global river cross-sectional channel geometry leveraging SWOT and multi-source data (1953828)
Zimin Yuan and Peirong Lin, Peking University, Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Beijing, China
 
Understanding the Role of Spatial Resolution in Global River Hydrodynamic Model Simulations (1985991)
Prakat Modi, Shibaura Institute of Technology, SIT Research Laboratories, Tokyo, Japan, Dai Yamazaki, The University of Tokyo, Institute of Industrial Science, Tokyo, Japan, Yukiko Hirabayashi, Shibaura Institute of Technology, Tokyo, Japan, Menaka Revel, University of Waterloo, Waterloo, Canada and Xudong Zhou, Institute of Hydraulics and Ocean Engineering, Ningbo University, Ningbo, China
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