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....

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Bibliographic Details
Main Authors: Jihoon Shin, Jong‐Jin Baik
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-05-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Online Access:https://doi.org/10.1029/2021MS002817