EVALUATION OF CONVECTIVE-STRATIFORM RAINFALL SEPARATION SCHEMES BY PRECIPITATION AND CLOUD STATISTICS

SHEN Xin-yong; LIU Jia; Xiaofan LI

Abstract:

In this study, two convective-stratiform rainfall partitioning schemes are evaluated using precipitation and cloud statistics for different rainfall types categorized by applying surface rainfall equation on grid-scale data from a two-dimensional cloud-resolving model simulation. One scheme is based on surface rainfall intensity whereas the other is based on cloud content information. The model is largely forced by the large-scale vertical velocity derived from the Tropical Ocean Global Atmosphere Coupled Ocean-Atmosphere Response Experiment (TOGA COARE). The results reveal that over 40% of convective rainfall is associated with water vapor divergence, which primarily comes from the rainfall type with local atmospheric drying and water hydrometeor loss/convergence, caused by precipitation and evaporation of rain. More than 40% of stratiform rainfall is related to water vapor convergence, which largely comes from the rainfall type with local atmospheric moistening and hydrometeor loss/convergence attributable to water clouds through precipitation and the evaporation of rain and ice clouds through the conversion from ice hydrometeor to water hydrometeor. This implies that the separation methods based on surface rainfall and cloud content may not clearly separate convective and stratiform rainfall.

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SHEN Xin-yong, LIU Jia, Xiaofan LI. EVALUATION OF CONVECTIVE-STRATIFORM RAINFALL SEPARATION SCHEMES BY PRECIPITATION AND CLOUD STATISTICS [J]. Journal of Tropical Meteorology, 2012, 18(1): 98-107.

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EVALUATION OF CONVECTIVE-STRATIFORM RAINFALL SEPARATION SCHEMES BY PRECIPITATION AND CLOUD STATISTICS

Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044 China

NOAA/NESDIS/Center for Satellite Applications and Research, Camp Springs, Maryland, USA

Received Date: 2010-11-11

Rev Recd Date: 2011-11-15

Abstract: In this study, two convective-stratiform rainfall partitioning schemes are evaluated using precipitation and cloud statistics for different rainfall types categorized by applying surface rainfall equation on grid-scale data from a two-dimensional cloud-resolving model simulation. One scheme is based on surface rainfall intensity whereas the other is based on cloud content information. The model is largely forced by the large-scale vertical velocity derived from the Tropical Ocean Global Atmosphere Coupled Ocean-Atmosphere Response Experiment (TOGA COARE). The results reveal that over 40% of convective rainfall is associated with water vapor divergence, which primarily comes from the rainfall type with local atmospheric drying and water hydrometeor loss/convergence, caused by precipitation and evaporation of rain. More than 40% of stratiform rainfall is related to water vapor convergence, which largely comes from the rainfall type with local atmospheric moistening and hydrometeor loss/convergence attributable to water clouds through precipitation and the evaporation of rain and ice clouds through the conversion from ice hydrometeor to water hydrometeor. This implies that the separation methods based on surface rainfall and cloud content may not clearly separate convective and stratiform rainfall.

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EVALUATION OF CONVECTIVE-STRATIFORM RAINFALL SEPARATION SCHEMES BY PRECIPITATION AND CLOUD STATISTICS

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