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Machine learning based algorithms for uncertainty quantific..:

Moosavi, Azam ; Rao, Vishwas ; Sandu, Adrian
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000697573900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1. , 2021

Link: http://hdl.handle.net/10919/108901

RT Journal
T1 <Title>Machine learning based algorithms for uncertainty quantification in numerical weather prediction models ; Journal of Computational Science</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftvirginiatec:oai:vtechworks.lib.vt.edu:10919_108901&Exemplar=1&LAN=DE
				
A1 Moosavi, Azam
A1 Rao, Vishwas
A1 Sandu, Adrian
PB Elsevier
YR 2021
K1 Computer Science
K1 Interdisciplinary Applications
K1 Theory & Methods
K1 Numerical weather prediction model
K1 Precipitation prediction
K1 Physical processes
K1 Machine learning
K1 CONVECTIVE PARAMETERIZATION
K1 BULK PARAMETERIZATION
K1 DATA ASSIMILATION
K1 ERROR ESTIMATION
K1 PRECIPITATION
K1 MICROPHYSICS
K1 IMPACT
K1 0802 Computation Theory and Mathematics
K1 0806 Information Systems
JF http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000697573900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1
LK http://hdl.handle.net/10919/108901
DO http://hdl.handle.net/10919/108901
SF ELIB - SuUB Bremen

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