Treatment of Undercanopy Turbulence in Land Models

Xubin Zeng Department of Atmospheric Sciences, The University of Arizona, Tucson, Arizona

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Michael Barlage Department of Atmospheric Sciences, The University of Arizona, Tucson, Arizona

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Robert E. Dickinson School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia

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Yongjiu Dai Research Center for Remote Sensing and Geographic Information System, Beijing Normal University, Beijing, China

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Guiling Wang Department of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut

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Keith Oleson NCAR/Climate and Global Dynamics Division, Boulder, Colorado

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Abstract

In arid and semiarid regions most of the solar radiation penetrates through the canopy and reaches the ground, and hence the turbulent exchange coefficient under canopy Cs becomes important. The use of a constant Cs that is only appropriate for thick canopies is found to be primarily responsible for the excessive warm bias of around 10 K in monthly mean ground temperature over these regions in version 2 of the Community Climate System Model (CCSM2). New Cs formulations are developed for the consistent treatment of undercanopy turbulence for both thick and thin canopies in land models, and provide a preliminary solution of this problem.

Corresponding author address: Xubin Zeng, Dept. of Atmospheric Science, The University of Arizona, Tucson, AZ 85721. Email: zeng@atmo.arizona.edu

Abstract

In arid and semiarid regions most of the solar radiation penetrates through the canopy and reaches the ground, and hence the turbulent exchange coefficient under canopy Cs becomes important. The use of a constant Cs that is only appropriate for thick canopies is found to be primarily responsible for the excessive warm bias of around 10 K in monthly mean ground temperature over these regions in version 2 of the Community Climate System Model (CCSM2). New Cs formulations are developed for the consistent treatment of undercanopy turbulence for both thick and thin canopies in land models, and provide a preliminary solution of this problem.

Corresponding author address: Xubin Zeng, Dept. of Atmospheric Science, The University of Arizona, Tucson, AZ 85721. Email: zeng@atmo.arizona.edu

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