Parameterization of Stochastically Entraining Convection Using Machine Learning Technique
Abstract A stochastic mixing model with a machine learning technique is proposed for mass flux convection schemes. The model consists of the stochastic differential equations (SDEs) for the fractional entrainment rate, fractional detrainment rate, fractional dilution rate, and vertical acceleration....
Main Authors: | Jihoon Shin, Jong‐Jin Baik |
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Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2022-05-01
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Series: | Journal of Advances in Modeling Earth Systems |
Subjects: | |
Online Access: | https://doi.org/10.1029/2021MS002817 |
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