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Micro- and Macro-Features of Cloud in Liaoning Province and Its Correlation with Precipitation Based on Aqua/CERES Data

SUN Li, ZHANG Jinguang, YANG Lei, ZHAO Shuhui

Journal of Arid Meteorology 2020, 38 (4): 612-618.

Abstract （283）

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Abstract: Based on the cloud product of CERES (clouds and earth’s radiant energy system) Aqua Edition 4A SSF (single scanner footprint) data and hourly precipitation observation data, the spatial and temporal distribution characteristics of micro- and macro-scopic cloud parameters in Liaoning Province (38.5°N-43.5°N, 118.5°E-126°E) were analyzed. In addition, the correlation between cloud parameters and rainfall intensities was studied and the precipitation identification indexes based on COD (cloud optical depth) and CWP ( cloud water path ) were established. The results show that cloud developed more vigorous in summer, and the average of CF (cloud fraction), COD, CTH (cloud top height) and CWP reached as high as 62.7%, 17.9, 6.5 km and 252.1 g·m-2, respectively, but in winter they were 48.3%, 7.0, 3.4 km and 106.2 g·m-2, respectively. Only ER ( the effective radius ) of cloud particles reached the maximum in winter. Due to the influence of terrain, the generation condition of cloud in the east (east of 122°E ) of Liaoning was better than that in the west (west of 122°E). Except the CTH was higher in the western part of Liaoning Province, all the other cloud parameters were lower than that in the eastern part. The CF, COD, CWP and ER of particles all increased with rainfall intensities, while CTP ( cloud top pressure) and CTT ( cloud top temperature) showed opposite trend, indicating that the stronger the precipitation was, the thicker cloud layer was, the higher water content was and the larger particle size was. COD and CWP were selected as the precipitating cloud identification factors for its higher correlation coefficients with precipitation intensities. Based on the score of TS (threat score) and HSS (Heidke skill score), 35 and 415 g·m-2 for COD and CWP was selected, corresponding to the maximum TS and HSS scores.

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Analysis on Multi-scale Characteristics of a Torrential Rainstorm in Liaoning Province on 16 August 2013

YANG Lei1，JIANG Dakai1，WANG Ying1，CAI Kuizhi1，SUN Li2，YANG Xue1，CAO Shiteng1

Journal of Arid Meteorology DOI: 10.11755/j.issn.1006-7639（2017）-02-0267

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Analysis of Atmospheric Precipitable Water Vapor Characteristics During Flood Season in Liaoning Province Based on GPS Remote Sensing Data

YANG Lei，JIANG Dakai，WANG Ying，CAI Kuizhi，SUN Li，CHEN Yu，CHEN Nina

Journal of Arid Meteorology DOI: 10.11755/j.issn.1006-7639（2016）-01-0082

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Ana lysis of a Loca l Snow Storm in Spr ing of 2007 in North Ch ina

MA Xiu-Ling, BANG Jiu-Hui, YANG Lei-Bin, WANG 　Hong, YANG Qiang-Gong, LIU Ba-Hua

J4 2008, 26 (1): 64-68.

Abstract （2042）

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Based on the conventional data, satellite cloud images and Dopp ler Radar data, the snow storm weather occurred in sp ring of
2007 in Chengde was analyzed from the large - scale background, water vapor and dynamic conditions. The results indicate that the
block from the eastern p ressure ridge leads to themerger and intensification of the north and the south low - p ressure systems, andmov2
ing slowly of the low - p ressure system results in this storm event. The convergence in the lower level and the foundation of low level jet
made large - scale water vapor convergence and continualwater vapor transmission, and the deep - thick atmosphere wet layer p rovides
a favourable surrounding condition and the divergence, vertical velocity and k - helicity fields are dynamic conditions for this heavy rain.

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