A Multilevel Surrogate Model-Based Precipitation Parameter Tuning Method for CAM5 Using Remote Sensing Data for Validation

A Multilevel Surrogate Model-Based Precipitation Parameter Tuning Method for CAM5 Using Remote Sensing Data for Validation

The uncertainty of physical parameters is a major factor contributing to poor precipitation simulation performance in Earth system models (ESMs), particularly in tropical and Pacific regions. To address the high computational cost of repetitive ESM runs, this study proposes a multilevel surrogate mo...

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Bibliographic Details
Main Authors: Xianwei Wu, Liang Hu, Juepeng Zheng, Lanning Wang, Haitian Lu, Haohuan Fu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Remote Sensing
Subjects:
surrogate model
parameter tuning
CAM5 precipitation
nonuniform parameter parameterization scheme
Online Access:https://www.mdpi.com/2072-4292/17/3/408
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