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Session
Presentation | H11L: Advances in Machine Learning for Earth Science: Observation, Modeling, and Applications I Poster
Poster
H11L-1033: Physics-informed bias correction using a convolution-based multivariate Gaussian process
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Schedule
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Credits
Mon, Dec 15
Board 1033‚ Hall EFG (Poster Hall)
8:30am - 12:00pm (Central)
NOLA CC
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Taereem Kim
Princeton University
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Author(s):
Taereem Kim
, Princeton University
(First Author, Presenting Author)
Chao Wang
, University of Iowa
Gabriele Villarini
, Princeton University
James Done
, NSF National Center for Atmospheric Research
David Johnson
, Purdue University
Andreas Prein
, ETH Zurich
View Abstract
Scientific Discipline
Hydrology
Suggested Itineraries
Climate Change and Global Policy
Global Impacts‚ Solutions‚ & Policies
Machine Learning and AI
Neighborhood
Earth Covering
Type
Poster
I Will Be at My Poster Time
View This Poster
Main Session
Poster
H11L: Advances in Machine Learning for Earth Science: Observation, Modeling, and Applications I Poster
8:30am-12:00pm Dec 15 (Central)
Siyu Zhu
Discussion
