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- [ONLINE] H11D-02: Combining Machine Learning and Physically-based models to Identify Stream Intermittency in Mountainous Headwaters (invited)
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Charuleka Varadharajan, Lawrence Berkeley National Laboratory (First Author, Presenting Author)
Yuan-Heng Wang, The University of Arizona
Chuyang Liu, Lawrence Berkeley National Laboratory
Nicola Falco, Lawrence Berkeley National Laboratory
Dipankar Dwivedi, Lawrence Berkeley National Laboratory
Rosemary Carroll, Desert Research Institute
Dylan O'Ryan, California State University East Bay
Curtis Beutler, Earth and Environmental Sciences Area
Austin Shirley, Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory
Matthias Sprenger, Albert Ludwig University of Freiburg
Kenneth Williams, Lawrence Berkeley National Laboratory
In this study we combine different machine learning and physical models to determine where and how droughts cause mountain streams to go dry. We find that it is valuable to combine multiple modeling approaches and datasets to understand the processes involved in generating stream flows under wet and dry conditions.
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