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Session
Presentation | H21L: Advancing Prediction, Theory, and Causal Understanding in Geosciences Through AI and Big Data I GeoBurst
GeoBurst
H21L-04: Surface Quantitative Precipitation Estimates (SQUIRE) from ARM’s Scanning Precipitation Radars
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Schedule
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Credits
Tue, Dec 16
Board 1545‚ 242
8:50am - 8:55am (Central)
NOLA CC
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Joseph O'Brien
Argonne National Laboratory
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Author(s):
Joseph O'Brien
, Argonne National Laboratory
(First Author, Presenting Author)
Robert Jackson
, Argonne National Laboratory
Maxwell Grover
, Argonne National Laboratory
Scott Collis
, Argonne National Laboratory
Adam Theisen
, Argonne National Laboratory
Zachary Sherman
, Argonne National Laboratory
Bhupendra Raut
, Argonne National Laboratory
View Abstract
Scientific Discipline
Hydrology
Neighborhood
Earth Covering
Type
GeoBurst
Main Session
GeoBurst
H21L: Advancing Prediction, Theory, and Causal Understanding in Geosciences Through AI and Big Data I GeoBurst
8:30am-10:00am Dec 16 (Central)
Yalan Song
Discussion
