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近31a贵州低温阴雨天气时空分布特征
石艳,李刚,谭健
0
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(贵州省气象台)
摘要:
利用贵州85个国家气象观测站1987-2017年11月1日至4月30日逐日日降水、日最低气温、日最高气温、总日照时数、云量、相对湿度等气象要素资料,按照低温阴雨日标准,计算分析了贵州省的低温阴雨日,在此基础上利用GRADS绘制全省分布情况,了解低温阴雨时间和空间的分布特征。结果表明:全省出现低温阴雨天气日数在空间分布上表现为自中部向南北两端递减,西部多于东部;在时间分布上,年平均日数的年际变化呈下降趋势,线性递减趋势达9d/10a以上;出现的最多月份为1月,最少月份为4月。其结果对低温阴雨的监测、预报、预警、评估、研究及服务工作具有基础性指导意义,从而对进一步展开业务应用化做好公众服务存在现实意义。
关键词:  低温阴雨;时空分布;贵州
DOI:
投稿时间:2018-05-14修订日期:2019-03-08
基金项目:
Spatial and Temporal Distribution Characteristics of Low Temperature and Rain Weather in Guizhou Province recent 31 Years from 1987 to 2017 in Guizhou Province
SHI yan,LI gang,TAN jian
(Guizhou Meteorological Observatory,Guizhou Guiyang)
Abstract:
Using the meteorological elements such as daily precipitation, daily minimum temperature, daily maximum temperature, total sunshine hours, cloud cover, relative humidity, etc. from 85 national meteorological observatories in Guizhou from November 1 to April 30, 2017, according to low temperature According to the standard of rainy day, the low temperature and rainy days of Guizhou Province were calculated and analyzed. Based on this, the province"s distribution map was drawn by GRADS to understand the distribution characteristics of low temperature and rainy time and space. The results show that the number of days with low temperature and rainy weather in the province is decreasing from the central to the south and the north, and the west is more than the east. In the time distribution, the interannual variation of the annual average number shows a downward trend with a linear decreasing trend of 9d. Above /10a; the most common month is January, and the least month is April. The results have a basic guiding significance for the monitoring, forecasting, early warning, evaluation, research and service work of low temperature and rain, which makes the public service for further application of the business practical.
Key words:  Low temperture and continuous rain; Spatial and Temporal Distribution; Guizhou Province
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