基于卫星资料的秦岭南北云系及其垂直结构特征

位晶; 段克勤

doi:10.7522/j.issn.1000-0534.2018.00057

高原气象 >

2018 , Vol. 37 >Issue 3: 777 - 785

DOI: https://doi.org/10.7522/j.issn.1000-0534.2018.00057

论文

基于卫星资料的秦岭南北云系及其垂直结构特征

位晶 ,
段克勤

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陕西师范大学地理科学与旅游学院, 陕西西安 710000

收稿日期: 2017-11-29

网络出版日期: 2018-06-28

基金资助

国家自然科学基金项目（41771030，41571062）

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Analysis of Cloud System and Its Vertical Structure between the Southern and Northern Qinling Based on Satellite Data

WEI Jing ,
DUAN Keqin

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School of Geography and Tourism, Shaanxi Normal University, Xi'an 710000, Shaanxi, China

Received date: 2017-11-29

Online published: 2018-06-28

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摘要

利用2007-2010年CloudSat/CALIPSO联合产品2B-CLDCLASS-LIDAR资料对关中、秦岭和陕南云出现概率及云垂直结构特征进行了研究。结果表明，各地区四季均以云天为主，云出现概率从南到北逐渐减少，但云出现概率最高的月份北部要早于南部。秦岭南北云层高度的季节变化单层云中关中地区最为显著，多层云则是陕南地区。云厚季节变化不明显，均在1~3 km之间。除少数情况外，8大云类在各地区不同云层中的出现概率具有显著的季节变化。除Ns（雨层云）在三层云下层及Dc（深对流云）在各层云中云顶和云厚存在明显的区域差异外，所有云类的云底云顶高度及平均厚度在不同云层的出现概率均没有明显的季节变化和区域差异。

关键词： CloudSat卫星; 秦岭; 云出现概率; 云垂直结构

本文引用格式

位晶 , 段克勤 . 基于卫星资料的秦岭南北云系及其垂直结构特征[J]. 高原气象, 2018 , 37(3) : 777 -785 . DOI: 10.7522/j.issn.1000-0534.2018.00057

Abstract

The relationship between cloud and climate is very complex. In order to quantitatively understand the feedback effect of clouds on the climate and improve the climate model, it is necessary to determine the cloud's global or local distribution and its internal structural characteristics under different dynamic conditions. Seasonal variations of cloud occurrence frequency and cloud vertical structures in Guanzhong, Qinling and Shannan regions from 2007 to 2010 were studied by using CloudSat/CALIPSO joint product. The results showed that the four seasons in all regions are dominated by cloud-days, the total cloud occurrence frequency is high in the south, but low in the north, and gradually decreases from south to north. However, the month with the highest total cloud occurrence frequency shows earlier in the north than in the south. The highest value of cloudtop/cloudbase height is in the south and the lowest value is in the north. Seasonal variation of cloudlayer height in the north and south of the Qinling Mountains, Guangzhong region is the most significant in single-layer cloud, while Shannan in the multi-layer cloud. The thickness of clouds in each region is 1~3 km, and slightly higher in summer and autumn than in spring and winter. There is no obvious seasonal changes in cloud thickness. In the single-layer cloud, Ci, As, and Sc occupy a considerable proportion, and Ac, Cu, and Dc occupy a certain proportion, while St and Ns have the smallest proportion. In the lower layers of two-layer clouds, Sc is the dominant type. Ci, As, Ns, and Dc decrease in all regions, while Ac, St, and Cu increase. In the lower layers of the three-layer cloud, Ac, Sc, and Cu are predominant, and Ns is the least. The middle layer is dominated by Ci, As, and Ac, and other clouds are rare. In the upper layer of multi-layer clouds, Ci occupies a higher proportion. In short, except for a few cases, occurrence frequency of eight major clouds in different regions has significant seasonal variations. Except for the obvious regional differences of the cloudtop height and cloud thicknesses of the Ns in the lower three-layer cloud and of the cloudtop height, cloutbase height and cloud thickness of the Dc in each cloudlayer, there is no obvious seasonal variation or regional difference in the cloudbase height, cloudtop height and average thicknesses of clouds in different cloudtype. These results provide insights into the nature of precipitation and formation mechanisms of precipitation in the region, and provide scientific basis for rational implementation of water resources deployment.

Key words： CloudSat satellite; Qinling; cloud occurrence fre; vertical structure o

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