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Session
Presentation | H13N: Advancing Watershed Science Through Hybrid Machine Learning and Physical Modeling III Poster
Poster
H13N-1245: Climate‑Driven Snowpack Loss Threatens Ecological Water Supply as Revealed by Physics‑Informed Deep Learning in a California Catchment
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Schedule
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Credits
Mon, Dec 15
Board 1245‚ Hall EFG (Poster Hall)
2:15pm - 5:45pm (Central)
NOLA CC
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Surendra Maharjan
Chapman University
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Author(s):
Surendra Maharjan
, Chapman University
(First Author, Presenting Author)
Wenzhao Li
, Chapman University
Rejoice Thomas
, Chapman University
Shahryar Fazli
, Chapman University
Hesham El-Askary
, Chapman University
View Abstract
Scientific Discipline
Hydrology
Suggested Itineraries
Machine Learning and AI
Neighborhood
Earth Covering
Type
Poster
I Will Be at My Poster Time
View This Poster
Main Session
Poster
H13N: Advancing Watershed Science Through Hybrid Machine Learning and Physical Modeling III Poster
2:15pm-5:45pm Dec 15 (Central)
Dipankar Dwivedi
Discussion
