安徽农业科学2016,Issue(4) :251-252.

即墨国家一般站迁站前后观测资料对比分析

Comparative Analysis of Observation Data in Jimo National General Station Before and After Station Moving

李华 刘路花
安徽农业科学2016,Issue(4) :251-252.

即墨国家一般站迁站前后观测资料对比分析

Comparative Analysis of Observation Data in Jimo National General Station Before and After Station Moving

李华 1刘路花2
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作者信息

  • 1. 山东省即墨市气象局,山东即墨266200
  • 2. 山东省邹平县气象局,山东邹平256200
  • 折叠

摘要

[目的]分析即墨国家一般站迁站前后各气象要素观测资料的差异.[方法]利用即墨站新站与旧站2014年1~12月同期实测的气象资料,采用统计分析方法,对比分析了即墨站迁站前后气压、气温、相对湿度、风速的差异,并对产生这种现象的原因进行分析.[结果]新站址本站气压、相对湿度均低于旧站址,气温与旧站址相比呈正负距平变化趋势;风速高于日站址.气象要素出现明显差异的主要原因是新旧站址海拔高度、地形地貌、探测环境及测站下垫面性质不同等原因造成的;且海拔高度及探测环境的不同是引起气象要素有差异的主要原因.[结论]该研究为预报业务中气象要素的准确预报和气候分析、气象服务、科研工作中资料的正确使用提供参考依据.

Abstract

[Objective] To analyze the differences of meteorological observation data in Jimo National General Station before and after station moving.[Method] Based on the meteorological data in the new and old stations from January to February 2014,statistical analysis method was used to compare the air pressure,temperature,relative humidity,wind speed before and after station moving.The reasons for this phenomenon were analyzed.[Result] The air pressure and relative humidity in new station were both lower than those of the old station.Compared with the old station,air temperature showed positive and negative anomaly change trend; wind speed in the new station was faster than that in the old station.The significant differences in meteorological elements were caused by the differences in altitude,topography,acquisition environment and characteristics of the underlying layer between the new and old stations.Among them,altitude and acquisition environment were the main reason for the differences in meteorological elements.[Conclusion] This research provides theoretical basis for the climatic analysis,meteorological service and scientific research in meteorological elements.

关键词

地面气象观测资料/迁站/对比分析/原因/即墨国家一般站

Key words

Observation data of ground meteorology/Station moving/Comparative analysis/Causation/Jimo National General Station

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出版年

2016
安徽农业科学
安徽省农业科学院

安徽农业科学

影响因子:0.413
ISSN:0517-6611
参考文献量5
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