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contributor authorSui, Chung-Hsiung
contributor authorLi, Xiaofan
contributor authorYang, Ming-Jen
contributor authorHuang, Hsiao-Ling
date accessioned2017-06-09T16:52:35Z
date available2017-06-09T16:52:35Z
date copyright2005/12/01
date issued2005
identifier issn0022-4928
identifier otherams-75774.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4218147
description abstractPrecipitation efficiency is estimated based on vertically integrated budgets of water vapor and clouds using hourly data from both two-dimensional (2D) and three-dimensional (3D) cloud-resolving simulations. The 2D cloud-resolving model is forced by the vertical velocity derived from the Tropical Ocean Global Atmosphere Coupled Ocean?Atmosphere Response Experiment (TOGA COARE). The 3D cloud-resolving modeling is based on the fifth-generation Pennsylvania State University?National Center for Atmospheric Research (PSU?NCAR) Mesoscale Model (MM5) simulation of Typhoon Nari (in 2001). The analysis of the hourly moisture and cloud budgets of the 2D simulation shows that the total moisture source (surface evaporation and vertically integrated moisture convergence) is converted into hydrometeors through vapor condensation and deposition rates regardless of the area size where the average is taken. This leads to the conclusion that the large-scale and cloud-microphysics precipitation efficiencies are statistically equivalent. Results further show that convergence (divergence) of hydrometeors would make precipitation efficiency larger (smaller). The precipitation efficiency tends to be larger (even >100%) in light rain conditions as a result of hydrometeor convergence from the neighboring atmospheric columns. Analysis of the hourly moisture and cloud budgets of the 3D results from the simulation of a typhoon system with heavy rainfall generally supports that of 2D results from the simulation of the tropical convective system with moderate rainfall intensity.
publisherAmerican Meteorological Society
titleEstimation of Oceanic Precipitation Efficiency in Cloud Models
typeJournal Paper
journal volume62
journal issue12
journal titleJournal of the Atmospheric Sciences
identifier doi10.1175/JAS3587.1
journal fristpage4358
journal lastpage4370
treeJournal of the Atmospheric Sciences:;2005:;Volume( 062 ):;issue: 012
contenttypeFulltext


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