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

Qin，Yingzuo1; Wang，Dashan1; Cao，Ye’er2; Cai，Xitian3; Liang，Shijing1; Beck，Hylke E.4; Zeng，Zhenzhong1

2023-08-16

10.1029/2023GL104164

Geophysical Research Letters   Impact Factor & Quartile

0094-8276

1944-8007

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.

CLM deforestation evapotranspiration land atmosphere interaction subgrid WRF

SCI

English

NI Journal Papers

First ; Corresponding

Southern University of Science and Technology[29/Y01296122];Southern University of Science and Technology[29/Y01296222];Southern University of Science and Technology[29/Y01296602];National Natural Science Foundation of China[42001321];National Natural Science Foundation of China[42071022];

Geology

Geosciences, Multidisciplinary

WOS:001040776400001

AMER GEOPHYSICAL UNION

GEOSCIENCES

2-s2.0-85166738752

Scopus

1.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,China
2.School of Atmospheric Sciences,Sun Yat-sen University,Guangzhou,China
3.Center for Water Resources and Environment,School of Civil Engineering,Sun Yat-sen University,Guangzhou,China
4.King Abdullah University of Science and Technology,Thuwal,Saudi Arabia

Qin，Yingzuo,Wang，Dashan,Cao，Ye’er,et al. Sub-Grid Representation of Vegetation Cover in Land Surface Schemes Improves the Modeling of How Climate Responds to Deforestation[J]. Geophysical Research Letters,2023,50(15).

Qin，Yingzuo.,Wang，Dashan.,Cao，Ye’er.,Cai，Xitian.,Liang，Shijing.,...&Zeng，Zhenzhong.(2023).Sub-Grid Representation of Vegetation Cover in Land Surface Schemes Improves the Modeling of How Climate Responds to Deforestation.Geophysical Research Letters,50(15).

Qin，Yingzuo,et al."Sub-Grid Representation of Vegetation Cover in Land Surface Schemes Improves the Modeling of How Climate Responds to Deforestation".Geophysical Research Letters 50.15(2023).