Precipitation and cloud statistics in the deep tropical convective regime
Precipitation and cloud statistics in the deep tropical convective regime
复制标题
热带深对流系统的降水和云统计
DOI：
10.1029/2010jd014481
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发表时间：
2010-12
期刊：
影响因子：
--
通讯作者：
Xiaofan Li
中科院分区：
文献类型：
--
作者：
Xinyong Shen;Nan Zhang;Yi Wang;Xiaofan Li
通过对一个二维云分辨模式模拟的网格尺度数据的分析，研究了热带深对流系统中的降水和云统计。该模型由热带海洋全球大气耦合海洋大气响应实验观测和推导的大尺度垂直速度、纬向风、水平平流和海面温度强迫。通过将网格尺度数据分类为基于降水过程的八种降雨类型进行分析：水汽辐合，局部水汽变化和水汽变化/辐合。在8种降水类型中，局地大气干燥、水汽辐散和水汽凝结物损失/辐合的降水对总降水的贡献最大（30.8%），因为降水覆盖范围大（35.3%）。水凝物的损失主要是由降水形成的水云和雨水的蒸发造成的。对于其他三种有水汽辐散的降水类型，每种降水类型对总降水的贡献都小于5%。在总降水量中，有61%的降水是由4种水汽辐合型降水贡献的。虽然伴随局部大气干燥、水汽辐合和水气象量损失/辐合的降雨表现出最大的地面降雨率（27.8 mm h-1），但由于降雨覆盖范围小（1.2%），仅占总降雨量的一小部分（10%）。对于其他三种有水汽辐合的降水类型，每种降水类型对总降水的贡献为14- 19%。网格尺度的降水统计数据与Shen et al.（2010）发现的模型域平均降水统计数据显著不同，表明降水统计数据具有空间尺度依赖性。
Precipitation and cloud statistics in the deep tropical convective regime is investigated through the analysis of grid‐scale data from a two‐dimensional, cloud‐resolving model simulation. The model is forced by large‐scale vertical velocity, zonal wind, horizontal advection, and sea surface temperature observed and derived from the Tropical Ocean Global Atmosphere Coupled Ocean Atmosphere Response Experiment. The analysis is conducted by categorizing the grid‐scale data into eight rainfall types based on precipitation processes: Water vapor convergence, local vapor change, and hydrometeor change/convergence. Among the eight rainfall types, the rainfall with local atmospheric drying, water vapor divergence, and hydrometeor loss/convergence has the largest contribution (30.8%) to the total rainfall because of large rainfall coverage (35.3%). The hydrometeor loss is mainly caused by water clouds through precipitation and the evaporation of rain. For the three other rainfall types with water vapor divergence, each rainfall type contributes to the total rainfall by less than 5%. Of the total rainfall, 61% is attributed to the four rainfall types with water vapor convergence. Although the rainfall with local atmospheric drying, water vapor convergence, and hydrometeor loss/convergence shows the largest surface rain rate (27.8 mm h−1), it only accounts for a small part (10%) of the total rainfall due to its small rainfall coverage (1.2%). For the three other rainfall types with water vapor convergence, each rainfall type contributes to the total rainfall by 14–19%. The grid‐scale precipitation statistics are significantly different from the model domain mean precipitation statistics found by Shen et al. (2010), suggesting a spatial‐scale dependence of precipitation statistics.
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影响因子：
3.1
作者：
Hock Lim;Chih-Pei Chang
通讯作者：
Hock Lim;Chih-Pei Chang
影响因子：
3.1
作者：
Wei‐Chyung Wang;J. Pinto;Y. Yung
通讯作者：
Wei‐Chyung Wang;J. Pinto;Y. Yung
影响因子：
3.1
作者：
P. Hildebrand;Bernice Ackerman
通讯作者：
P. Hildebrand;Bernice Ackerman
影响因子：
3.1
作者：
G. Katul;J. Albertson;C. Hsieh;P. Conklin;J. Sigmon;M. Parlange;K. Knoerr
通讯作者：
G. Katul;J. Albertson;C. Hsieh;P. Conklin;J. Sigmon;M. Parlange;K. Knoerr
DOI：
10.1175/1520-0450(1980)019
发表时间：
1980-07
期刊：
Journal of Applied Meteorology
影响因子：
--
作者：
L. V. D. Auwera;F. Meyer;L. Malet
通讯作者：
L. V. D. Auwera;F. Meyer;L. Malet