Assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm

10.5194/gmd-7-2517-2014

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Main Authors:	Hong, S, Yu, X, Park, S.K, Choi, Y.-S, Myoung, B
Other Authors:	TROPICAL MARINE SCIENCE INSTITUTE
Format:	Article
Published:	2020
Subjects:	complexity evapotranspiration genetic algorithm land surface optimization parameterization physics runoff uncertainty analysis water budget Han Basin [Far East] Korea
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/183649
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-183649
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spelling	sg-nus-scholar.10635-1836492024-11-08T20:15:17Z Assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm Hong, S Yu, X Park, S.K Choi, Y.-S Myoung, B TROPICAL MARINE SCIENCE INSTITUTE complexity evapotranspiration genetic algorithm land surface optimization parameterization physics runoff uncertainty analysis water budget Han Basin [Far East] Korea 10.5194/gmd-7-2517-2014 Geoscientific Model Development 7 5 2517-2529 2020-11-18T07:34:54Z 2020-11-18T07:34:54Z 2014 Article Hong, S, Yu, X, Park, S.K, Choi, Y.-S, Myoung, B (2014). Assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm. Geoscientific Model Development 7 (5) : 2517-2529. ScholarBank@NUS Repository. https://doi.org/10.5194/gmd-7-2517-2014 1991959X https://scholarbank.nus.edu.sg/handle/10635/183649 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	complexity evapotranspiration genetic algorithm land surface optimization parameterization physics runoff uncertainty analysis water budget Han Basin [Far East] Korea
spellingShingle	complexity evapotranspiration genetic algorithm land surface optimization parameterization physics runoff uncertainty analysis water budget Han Basin [Far East] Korea Hong, S Yu, X Park, S.K Choi, Y.-S Myoung, B Assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm
description	10.5194/gmd-7-2517-2014
author2	TROPICAL MARINE SCIENCE INSTITUTE
author_facet	TROPICAL MARINE SCIENCE INSTITUTE Hong, S Yu, X Park, S.K Choi, Y.-S Myoung, B
format	Article
author	Hong, S Yu, X Park, S.K Choi, Y.-S Myoung, B
author_sort	Hong, S
title	Assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm
title_short	Assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm
title_full	Assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm
title_fullStr	Assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm
title_full_unstemmed	Assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm
title_sort	assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/183649
_version_	1821213580541820928

Assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm

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