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Session
  • Presentation | H22C: Advancing Prediction, Theory, and Causal Understanding in Geosciences Through AI and Big Data II Oral
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  • H22C-03: Developing Mass-Conserving-Perceptron-Based Neural Networks for Physically Interpretable and Parsimonious Catchment-Scale Rainfall-Runoff Modeling (invited)
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    NOLA CC
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Author(s):
Yuan-Heng Wang, Lawrence Berkeley National Laboratory (First Author, Presenting Author)
Yang Yang, University of Massachusetts Boston
Hoshin Gupta, University of Arizona

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Main Session
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