Spectral Retrieval of Latent Heating Profiles from TRMM PR Data. Part III: Estimating Apparent Moisture Sink Profiles over Tropical Oceans
Spectral Retrieval of Latent Heating Profiles from TRMM PR Data. Part III: Estimating Apparent Moisture Sink Profiles over Tropical Oceans
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DOI：
10.1175/2007jamc1738.1
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发表时间：
2008-02
影响因子：
3
通讯作者：
S. Shige;Yukari N. Takayabu;Wei-Kuo Tao
中科院分区：
文献类型：
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作者：
S. Shige;Yukari N. Takayabu;Wei-Kuo Tao
摘要在本研究的第一部分和第二部分中，发展了光谱潜热加热（SLH）算法来估算热带降雨测量使命（TRMM）降水雷达（PR）的视热源（Q1）廓线。本文采用SLH算法估算表观水汽汇（Q2）廓线。除了使用热带海洋和全球大气（TOGA）耦合海洋-大气响应试验（COARE）利用云分辨模式（CRM）数值模拟热带云系得出的Q2廓线查找表外，Q2反演的过程与加热反演的过程相同。利用COARE表从CRM模拟的参数重建Q2剖面，然后与CRM模拟的“真实”Q2剖面进行比较，后者是直接从模式中的水汽方程计算的。一致性检验表明，SLH重建的Q_2廓线与CRM模拟的Q_2廓线之间的差异，特别是在低层，要比CRM模拟的Q_2廓线大。
Abstract The spectral latent heating (SLH) algorithm was developed to estimate apparent heat source (Q1) profiles for the Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) in Parts I and II of this study. In this paper, the SLH algorithm is used to estimate apparent moisture sink (Q2) profiles. The procedure of Q2 retrieval is the same as that of heating retrieval except for using the Q2 profile lookup tables derived from numerical simulations of tropical cloud systems from the Tropical Ocean and Global Atmosphere (TOGA) Coupled Ocean–Atmosphere Response Experiment (COARE) utilizing a cloud-resolving model (CRM). The Q2 profiles were reconstructed from CRM-simulated parameters with the COARE table and then compared with CRM-simulated “true” Q2 profiles, which were computed directly from the water vapor equation in the model. The consistency check indicates that discrepancies between the SLH-reconstructed and CRM-simulated profiles for Q2, especially at low levels, are larger than those f...