Spectral Retrieval of Latent Heating Profiles from TRMM PR Data. Part IV: Comparisons of Lookup Tables from Two- and Three-Dimensional Cloud-Resolving Model Simulations
Spectral Retrieval of Latent Heating Profiles from TRMM PR Data. Part IV: Comparisons of Lookup Tables from Two- and Three-Dimensional Cloud-Resolving Model Simulations
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DOI:
10.1175/2009jcli2919.1
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发表时间:
2009-10
影响因子:
4.9
通讯作者:
S. Shige;Yukari N. Takayabu;Yukari N. Takayabu;S. Kida;W. Tao;Xiping Zeng;Xiping Zeng;C. Yokoyama;T. L’Ecuyer
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文献类型:
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作者:
S. Shige;Yukari N. Takayabu;Yukari N. Takayabu;S. Kida;W. Tao;Xiping Zeng;Xiping Zeng;C. Yokoyama;T. L’Ecuyer
Abstract The spectral latent heating (SLH) algorithm was developed to estimate latent heating profiles for the Tropical Rainfall Measuring Mission Precipitation Radar (TRMM PR). The method uses TRMM PR information (precipitation-top height, precipitation rates at the surface and melting level, and rain type) to select heating profiles from lookup tables (LUTs). LUTs for the three rain types—convective, shallow stratiform, and anvil rain (deep stratiform with a melting level)—were derived from numerical simulations of tropical cloud systems from the Tropical Ocean and Global Atmosphere Coupled Ocean–Atmosphere Response Experiment (TOGA COARE) using a cloud-resolving model (CRM). The two-dimensional (2D) CRM was used in previous studies. The availability of exponentially increasing computer capabilities has resulted in three-dimensional (3D) CRM simulations for multiday periods becoming increasingly prevalent. In this study, LUTs from the 2D and 3D simulations are compared. Using the LUTs from 3D simulation...