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Modular compositional learning improves 1D hydrodynamic lake model performance by merging process-based modeling with deep learning
  • +6
  • Robert Ladwig,
  • A Daw,
  • Ellen A Albright,
  • C Buelo,
  • A Karpatne,
  • Michael F Meyer,
  • Paul Hanson,
  • A Neog,
  • H Dugan
Robert Ladwig
Center for Limnology, University of Wisconsin-Madison

Corresponding Author:[email protected]

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A Daw
Department of Computer Sciences, Virginia Tech
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Ellen A Albright
Center for Limnology, University of Wisconsin-Madison
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C Buelo
Center for Limnology, University of Wisconsin-Madison
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A Karpatne
Department of Computer Sciences, Virginia Tech
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Michael F Meyer
United States Geological Survey, Center for Limnology, University of Wisconsin-Madison, U.S. Geological Survey, Observing Systems Division
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Paul Hanson
Center for Limnology, University of Wisconsin-Madison
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A Neog
Department of Computer Sciences, Virginia Tech
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H Dugan
Center for Limnology, University of Wisconsin-Madison
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07 Aug 2023Submitted to ESS Open Archive
07 Aug 2023Published in ESS Open Archive