贵州省秋季连阴雨时空变化特征及典型过程研究  被引量:6

Spatial-temporal Variation Characteristics and Typical Processes of Continuous Rain in Autumn over Guizhou

在线阅读下载全文

作  者:曹蔚 汪卫平[1] 王烁 陈早阳 李忠燕[1] 王玥彤 CAO Wei;WANG Weiping;WANG Shuo;CHEN Zaoyang;LI Zhongyan;WANG Yuetong(Climate Center of Guizhou Province,Guiyang 556000,China)

机构地区:[1]贵州省气候中心,贵州贵阳556000

出  处:《沙漠与绿洲气象》2023年第1期32-38,共7页Desert and Oasis Meteorology

基  金:国家自然基金项目(41865007);中国气象局创新发展专项(CXFZ2021J026);中国气象局创新发展专项(CXFZ2021Z033)。

摘  要:利用贵州省78个气象站1969—2019年秋季(9月1日—11月30日)的逐日降水量和日照时数资料以及同期NCEP/NCAR再分析资料,分析贵州省秋季无日照连阴雨发生频次、持续时间和时空分布特征,并选取5次典型过程进行环流诊断。结果表明:近51年来,贵州省秋季无日照雨日数10月最多,9月最少,秋季无日照雨日降水量最大的是9—10月,11月降水量最少。秋季累计贵州省平均无日照雨日数为27.3 d/a,贵州省多年平均秋季无日照降水量为183.2 mm/a,均呈北多南少的分布型。贵州省东北部发生轻级(5~6 d)无日照连阴雨的频次最多,重级以上(10 d以上)无日照连阴雨过程主要发生在贵州省西北部。厄尔尼诺发生年,印度洋偶极子正位相,高原及其以西地区、印度洋多低值系统发展活动频繁,有利于贵州省出现连阴雨过程。Based on the daily precipitation and sunshine duration data of 78 stations in autumn over Guizhou during 1969-2019 and NCEP/NCAR reanalysis data in the same period,the frequency,duration,spatial and temporal distribution characteristics of continuous rain without sunshine were analyzed,with five typical processes selected for circulation diagnosis.The results showed that over the past 51 years,the average of the number(precipitation)in autumn rain day without sunshine was 27.3 d(183.2 mm)with the most in October(September and October)and the least in September(November),showing the“more in the north and less in the south”pattern.The light continuous rainy days(5-6 days)occurred most frequently in the northeast of Guizhou,while the heavy ones(more than 10 days)mainly appeared in the northwest of Guizhou.In the year of El Nino,the Indian Ocean dipole is in the positive phase,and the low-pressure system are frequent in the plateau and its west and Indian Ocean region.It is conducive to the emergence of continuous rain process in Guizhou province.

关 键 词:贵州 连阴雨 时空分布 典型过程 环流诊断 

分 类 号:P426.6[天文地球—大气科学及气象学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象