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

Author:

Fan Hanwen1ORCID,Xu Qingchen1ORCID,Bai Fan1,Wei Zhongwang1ORCID,Zhang Yonggen2ORCID,Lu Xingjie1,Wei Nan1ORCID,Zhang Shupeng1ORCID,Yuan Hua1ORCID,Liu Shaofeng1ORCID,Li XianXiang1ORCID,Li Xueyan3,Dai Yongjiu1ORCID

Affiliation:

1. Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies School of Atmospheric Sciences Sun Yat‐sen University Guangzhou China

2. School of Earth System Science Institute of Surface‐Earth System Science Tianjin University Tianjin China

3. Guangdong Provincial Key Laboratory of Remote Sensing and Geographical Information System Guangdong Open Laboratory of Geospatial Information Technology and Application Guangzhou Institute of Geography Guangdong Academy of Science Guangzhou China

Abstract

AbstractThis 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.

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

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