Two Random Forest Models for the Non‐Iterative Parametrization of Surface‐Layer Turbulent Fluxes

Two Random Forest Models for the Non‐Iterative Parametrization of Surface‐Layer Turbulent Fluxes

Abstract This study investigated two random forest (RF) models for the non‐iterative parametrization of surface‐layer turbulent fluxes: (a) the RF scheme, a calculation model that is directly trained using correlated variables, and (b) the RF_Li10 scheme, a random forest correction model based on th...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Yingxin Yu, Chloe Yuchao Gao, Yubin Li, Zhiqiu Gao
Format:	Artykuł
Język:	English
Wydane:	Wiley 2023-11-01
Seria:	Geophysical Research Letters
Dostęp online:	https://doi.org/10.1029/2023GL105923

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