An Unstructured Mesh Generation Tool for Efficient High‐Resolution Representation of Spatial Heterogeneity in Land Surface Models

Abstract This study develops an unstructured mesh generation tool for land surface modeling using a multi‐scale hexagon discrete mesh. The tool can automatically determine the required mesh resolution for different regions based on multi‐objective criteria such as elevation, slope, land cover, and l...

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Bibliographic Details
Main Authors: Hanwen Fan, Qingchen Xu, Fan Bai, Zhongwang Wei, Yonggen Zhang, Xingjie Lu, Nan Wei, Shupeng Zhang, Hua Yuan, Shaofeng Liu, XianXiang Li, Xueyan Li, Yongjiu Dai
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:Geophysical Research Letters
Online Access:https://doi.org/10.1029/2023GL107059
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Summary:Abstract This study develops an unstructured mesh generation tool for land surface modeling using a multi‐scale hexagon discrete mesh. The tool can automatically determine the required mesh resolution for different regions based on multi‐objective criteria such as elevation, slope, land cover, and land use. The refined unstructured meshes demonstrate significant enhancement in the representation of spatial heterogeneity. The tool is coupled with the Common Land Model (CoLM) to enable land surface simulations using unstructured meshes. Evaluations focused on runoff, river discharge, and inundation indicate improved model performance compared to traditional structured mesh‐based CoLM simulations under the same computational cost constraints. This tool provides new capabilities for more efficiently capturing localized land surface processes and extreme events.
ISSN:0094-8276
1944-8007