Sub-Grid Representation of Vegetation Cover in Land Surface Schemes Improves the Modeling of How Climate Responds to Deforestation

Yingzuo Qin, Dashan Wang, Ye’er Cao, Xitian Cai, Shijing Liang, Hylke Beck, Zhenzhong Zeng

Research output: Contribution to journalArticlepeer-review

Abstract

Understanding the regional climate response to land cover change requires a realistic sub-grid representation of vegetation cover in the land surface scheme (LSS) of climate models. The Community Land Model (CLM) is considered one of the most advanced LSSs; however, when coupled with the Weather Research and Forecasting (WRF) model, the tiling vegetation cover approach was deactivated. Here, we reactivated the theoretical sub-grid vegetation cover representation in WRF-CLM and applied it to assess the impacts of deforestation on regional climate in the Southeast Asian Massif region. We found that CLM-tiling performs more accurate simulations of surface air temperature and precipitation compared to other LSSs using the in situ observations. Importantly, CLM-tiling successfully captures the theoretical sensitivity of evapotranspiration (ET) and temperature to sub-grid deforestation, aligning with Noah-mosaic, and it substantially improves the spatial pattern responses of simulated ET and temperature to regional deforestation.
Original languageEnglish (US)
JournalGeophysical Research Letters
Volume50
Issue number15
DOIs
StatePublished - Aug 2 2023

ASJC Scopus subject areas

  • Geophysics
  • General Earth and Planetary Sciences

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