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deep convective clouds over the Northern Pacific and Their Relationship with Oceanic Cyclones

Advances in Atmospheric Sciences 2015年第6期32卷 821-830页

作者： YI Mingjian FU Yunfei LIU Peng ZHENG Zhixia University of Science and Technology of China Anhui Provincial Academy of Environmental Sciences State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences

Based on combined cloudsat/CALIPSO detections, the seasonal occurrence of deep convective clouds （DCCs） over the midlatitude North Pacific （NP） and cyclonic activity in winter were compared. In winter, DCCs are more frequent over the central NP, from approximately 30~N to 45~N, than over other regions. The high frequencies are roughly equal to those occurring in this region in summer. Most of these DCCs have cloud tops above a 12 km altitude, and the highest top is approximately 15 km. These wintertime marine DCCs commonly occur during surface circulation conditions of low pressure, high temperature, strong meridional wind, and high relative humidity. Further, the maximum probability of DCCs, according to the high correlation coefficient, was found in the region 10^-20~ east and 5^-10~ south of the center of the cyclones. The potential relationship between DCCs and cyclones regarding their relative locations and circulation conditions was also identified by a case study. deep clouds were generated in the warm conveyor belt by strong updrafts from baroclinic flows. The updrafts intensified when latent heat was released during the adjustment of the cyclone circulation current. This indicates that the dynamics of cyclones are the primary energy source for DCCs over the NP in winter.

关键词： cloudsat deep convective clouds marine cyclones northern Pacific

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Delineation of deep convective clouds from GMS/IR Image Using Texture Feature Analysis Method

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中国科学院大学学报 1992年第2期 169-180页

作者： Li Jun (Institute of Atmospheric Physics.Academia Sinica,Beijing) Grade-87 graduate Student,Graduate School of Academia Sinica

Monitoring the development and evolution of a deep convec-tive system from gcostationary satellite imagery is very important tonowcasting and heavy rainfall estimation.Using combined infrared andvisible imagery to analyse convective clouds is feasible and effective,but unfortunately,visible satellite data are not available at night.Inthis paper,a method of fuzzy clustering scheme based on texture featureanalysis has been put forward to distinguish the deep convective cloudsfrom cirrus and stratiform by use of GMS/IR image.Results from usingonly IR data and using both IR and VIS data are compared and discus-Sed.

关键词： texture feature measurement deep convective clouds fuzzy dustering co-occurrence matrix

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