A Catchment-Based Hierarchical Spatial Tessellation Approach to a Better Representation of Land Heterogeneity for Hyper-Resolution Land Surface Modeling

Lina Huang, Shupeng Zhang, Guo Yue Niu, Nan Wei, Hua Yuan, Zhongwang Wei, Xingjie Lu, Jingman Peng, Wenyao Li, Yongjiu Dai

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

To represent the physical processes at hillslope scales for hyper-resolution land surface modeling, we propose a hierarchical, catchment-based spatial tessellation method. The land surface is divided into a hierarchical structure: catchments, height bands along hillslopes within a catchment, and land cover patches within a height band. This catchment-based structure explicitly represents hillslope drainage networks and can be applied at various resolutions determined by a pre-defined maximum height band size. The proposed tessellation method is superior to the conventional grid-based structure in representing land surface heterogeneity, resulting in a higher aggregation skill through the height band representation. The spatial variations in air temperature, leaf area index, saturated soil hydraulic conductivity, and soil porosity are generally lower within a height band than those in a conventional rectangular grid, reflecting the nature of topographic control on climate, vegetation, and soil distribution. The improvement in aggregation skill depends on resolutions and terrain slope angle, more pronounced at 1/6° model resolution and over steeper terrains. Finally, we demonstrate that our proposed catchment-based structure performs better than the grid-based structure through modeling tests over the Columbia River basin at resolutions of 1/2°, 1/6°, and 1/20° and a global test at 1/2° using the ILAMB model evaluation metrics.

Original languageEnglish (US)
Article numbere2021WR031589
JournalWater Resources Research
Volume58
Issue number5
DOIs
StatePublished - May 2022

Keywords

  • aggregation skill
  • catchment-based spatial structure
  • height bands
  • hyper-resolution land surface modeling
  • land heterogeneity

ASJC Scopus subject areas

  • Water Science and Technology

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