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...
| Автори: | , , , |
|---|---|
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Wiley
2023-11-01
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| Серія: | Geophysical Research Letters |
| Онлайн доступ: | https://doi.org/10.1029/2023GL105923 |