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  • Presentation | H23L: Advancing Prediction, Theory, and Causal Understanding in Geosciences Through AI and Big Data III Poster
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  • H23L-1375: Scalable, Uncertainty-Aware Streamflow Prediction in Snow-Dominated Catchments Using Evidential Deep Learning and CLM5 Ensembles
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  • Board 1375‚ Hall EFG (Poster Hall)
    NOLA CC
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Author(s):
Kachinga Silwimba, Boise State University (First Author, Presenting Author)
Alejandro Flores, Boise State University
Linnia Hawkins, Montana State University Bozeman
Charlie Becker, NSF National Center for Atmospheric Research
Katherine Dagon, NSF National Center for Atmospheric Research
David Gagne, NCAR/MMM
Irene Cionni, Boise State University
Jodi Mead, Boise State University
Pamela Sullivan, Oregon State University
Daniel Hirmas, Texas Tech University
Sharon Billings, University of Kansas
Hoori Ajami, University of California Riverside
Li Li, Pennsylvania State University Main Campus
Jesse Nippert, Kansas State University
Andy Wood, NSF National Center for Atmospheric Research
Guoqiang Tang, Wuhan University
Stanley Akor, Boise State University

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