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DEVELOPMENT OF STOCHASTICALLY PERTURBED PARAMETERIZATION SCHEME FOR THE SURFACE VARIABLES IN WRF BY OPTIMIZING THE RANDOM FORCING PARAMETERS USING THE MICRO-GENETIC ALGORITHM
Author(s) -
S. I. Lim,
Seon Ki Park,
C. Cassardo
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1142/9789811260100_0004
Subject(s) - forcing (mathematics) , weather research and forecasting model , scheme (mathematics) , algorithm , genetic algorithm , computer science , stochastic process , mathematical optimization , statistical physics , mathematics , meteorology , physics , statistics , mathematical analysis

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