TY - JOUR
T1 - Sub-Grid Representation of Vegetation Cover in Land Surface Schemes Improves the Modeling of How Climate Responds to Deforestation
AU - Qin, Yingzuo
AU - Wang, Dashan
AU - Cao, Ye’er
AU - Cai, Xitian
AU - Liang, Shijing
AU - Beck, Hylke
AU - Zeng, Zhenzhong
N1 - KAUST Repository Item: Exported on 2023-08-07
Acknowledgements: This study was supported by the National Natural Science Foundation of China (42071022, 42001321) and the startup fund provided by the Southern University of Science and Technology (29/Y01296002, 29/Y01296122, 29/Y01296222). We thank the Center for Computational Science and Engineering at the Southern University of Science and Technology for providing computing resources. We acknowledge the anonymous reviewers for their detailed and helpful comments on the original manuscript. We thank the editor Guiling Wang for her valuable guidance and input, which greatly improved this manuscript.
PY - 2023/8/2
Y1 - 2023/8/2
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/693473
UR - https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023GL104164
U2 - 10.1029/2023gl104164
DO - 10.1029/2023gl104164
M3 - Article
SN - 0094-8276
VL - 50
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 15
ER -
