Emergent Properties of Convection in OTREC and PREDICT
Emergent Properties of Convection in OTREC and PREDICT
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DOI：
10.1029/2020jd033585
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发表时间：
2020-07
期刊：
影响因子：
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通讯作者：
D. J. Raymond;Ž. Fuchs‐Stone
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文献类型：
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作者：
D. J. Raymond;Ž. Fuchs‐Stone
最近研究深层对流的野外程序的数据可能对约束积云参数化有用。为此，我们利用OTREC（热带东太平洋对流组织）和PREDICT（热带云系统低气压前调查）项目的数据进行网格式下探仪分析，根据可从大尺度模式的显式网格计算的选定热力学参数来表征热带海洋对流的中尺度特性。特别是，饱和分数、对流层低层湿对流不稳定性和对流抑制似乎控制着柱-积分水汽辐合，而海面温度与质量通量剖面的顶重和积分熵散度有关。局部（相对于全球）地表热通量和湿气通量以及对流有效势能与这些量的相关性很弱。列举了改进积云参数化的建议。
Data from recent field programs studying deep convection may be useful in constraining cumulus parameterizations. To this end, gridded dropsonde analyses are made using data from the OTREC (Organization of Tropical East Pacific Convection) and PREDICT (PreDepression Investigation of Cloud‐Systems in the Tropics) projects to characterize the mesoscale properties of tropical oceanic convection in terms of selected thermodynamic parameters computable from the explicit grids of large‐scale models. In particular, saturation fraction, lower tropospheric moist convective instability, and convective inhibition appear to govern column‐integrated moisture convergence, while sea surface temperature is related to the top‐heaviness of mass flux profiles and the integrated entropy divergence. Local (as opposed to global) surface heat and moisture fluxes and convective available potential energy correlate weakly with these quantities. Recommendations to improve cumulus parameterizations are enumerated.