Primary Convener: Xingyuan Chen, Pacific Northwest National Laboratory, Richland, WA, United States
Conveners: Utkarsh Mital, Dipankar Dwivedi and James Bentley Brown, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Primary Liaison: Dipankar Dwivedi, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Chairs: Xingyuan Chen1, Dipankar Dwivedi2 and Utkarsh Mital2, (1)Pacific Northwest National Laboratory, Richland, WA, United States(2)Lawrence Berkeley National Laboratory, Berkeley, CA, United States
OSPA Liaison: Utkarsh Mital, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
19:00
Benefits of modeling interdependent environmental variables, streamflow and stream temperature, with deep learning (Invited) (677059)
Jeffrey Michael Sadler1, Alison Appling1, Xiaowei Jia2, Samantha Oliver3, Jacob Zwart1, Jordan Stuart Read1 and Vipin Kumar4, (1)USGS Integrated Information Dissemination Division, Data Science Branch, Middleton, WI, United States, (2)University of Pittsburgh, Pittsburgh, PA, United States, (3)USGS, Middleton, WI, United States, (4)University of Minnesota Twin Cities, Department of Computer Science/Engineering, Minneapolis, MN, United States
19:06
Machine Learning and other Enabling Technologies to Advance Watershed Science and Co-Design Strategies (Invited) (666128)
Susan S. Hubbard1, Bhavna Arora1, Jiancong Chen2, Baptiste Dafflon1, Dipankar Dwivedi1, Nicola Falco1, Utkarsh Mital1, Michelle E Newcomer1, Carl I Steefel1, Charuleka Varadharajan1, Haruko M Wainwright1, Yuxin Wu1 and Watershed SFA Team, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)University of California Berkeley, Berkeley, CA, United States
19:12
DART-PFLOTRAN: An Ensemble Data Assimilation System for Modeling Subsurface Process (759045)
Peishi Jiang1, Xingyuan Chen1, Kewei Chen2, Jeffrey L Anderson3, Nancy Collins3, Timothy J Hoar4 and Moha El Gharamti5, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Richland, United States, (3)NCAR, Boulder, CO, United States, (4)Natl Ctr Atmospheric Res, Boulder, CO, United States, (5)King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
19:16
Improving Watershed Modeling via Big Data: Insights from Multiple Cases Studies (Invited) (669114)
Heather E Golden1, Adnan Rajib2, Grey Evenson1, Jay Christensen3, Charles Lane4 and Qiusheng Wu5,6, (1)US Environmental Protection Agency, Office of Research & Development, Cincinnati, OH, United States, (2)Texas A&M University Kingsville, Environmental Engineering, Kingsville, TX, United States, (3)US Environmental Protection Agency, Office of Research & Development, Cincinnati, NV, United States, (4)US Environmental Protection Agency, Cincinnati, OH, United States, (5)Department of Geography, Binghamton University, State University of New York, Binghamton, United States, (6)University of Tennessee, Knoxville, Department of Geography, Knoxville, TN, United States
19:22
ExaSheds: Advancing Watershed System Science using Machine Learning and Data-Intensive Extreme-Scale Simulation (737632)
Carl I Steefel1, Scott L Painter2, John D Moulton3, Xingyuan Chen4, Dipankar Dwivedi1, Ethan Coon5, Dan Lu5, Alison Appling6, Alexander Y Sun7 and James Bentley Brown1, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Oak Ridge National Lab, Oak Ridge, TN, United States, (3)Los Alamos National Laboratory, Los Alamos, NM, United States, (4)Pacific Northwest National Laboratory, Richland, WA, United States, (5)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (6)USGS, Middleton, WI, United States, (7)University of Texas at Austin, Austin, TX, United States
19:30
Hydrological Model Experiment Setups Using the eWaterCycle Platform (721659)
Jerom P.M. Aerts1, Rolf Hut1, Nick Van De Giesen1, Niels Drost2, Peter Kalverla2, Bouwe Andela2, Fakhereh Alidoost2, Ben van Werkhoven2, Jaro Camphuijsen2, Inti Pelupessy2, Stefan Verhoeven2, Willem van Verseveld3 and Albrecht Weerts4, (1)Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands, (2)Netherlands eScience Center, Amsterdam, Netherlands, (3)Deltares, Inland Water Systems, Delft, Netherlands, (4)Deltares, Operational Water Management, Delft, Netherlands
19:34
Transcending the uniqueness of places with large-sample multi-physics catchment modeling based on machine learning (Invited) (665858)
Chaopeng Shen1, Farshid Rahmani1, Wei Zhi2, Kuai Fang3, Wen-Ping Tsai1, Li Li1 and Kathryn Lawson1, (1)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, PA, United States, (2)Pennsylvania State University Main Campus, Department of Energy and Mineral Engineering, University Park, PA, United States, (3)Pennsylvania State University Main Campus, Civil and Environmental Engineering, University Park, PA, United States
19:44
A data-driven approach to predicting the impacts of streamflow disturbance on water quality in river corridors (758310)
Charuleka Varadharajan1, Valerie C Hendrix1, Danielle S Christianson1, Helen Weierbach1, Juliane Müller2, Jangho Park2 and Boris Faybishenko3, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Center for Computational Science and Engineering, Berkeley, CA, United States, (3)Lawrence Berkeley Natl Lab, Berkeley, CA, United States
