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作 者:张宁[1,2,3] 江志红[1,2] 吴立广[1,2]
机构地区:[1]南京信息工程大学气象灾害省部共建教育部重点实验室,江苏南京210044 [2]南京信息工程大学大气科学学院,江苏南京210044 [3]黑龙江省气象台,黑龙江哈尔滨150030
出 处:《大气科学学报》2010年第5期606-614,共9页Transactions of Atmospheric Sciences
基 金:公益性行业(气象)科研专项(GYHY(QX)2007-6-5)
摘 要:以江苏省2006年夏、秋季自动站降水资料为例,对逐时、逐日自动站降水进行对比和统计分析。为降低资料插值过程中的不确定性,对插值方法进行了修正。由南京、扬州、无锡和常州基础站降水资料与相应自动站降水修正资料的对比可以发现,弱降水事件的发生频率高,且无论对于5mm/h以内的逐时降水还是10 mm/d以内的逐日降水,自动站与4个基础站均有显著差异,因此对江苏省自动站降水资料进行系统订正具实际意义。另外,对阵性降水和锋面降水的分析发现,无论降水量级大小,基础站降水大于自动站降水的几率高,因此有必要进一步对自动站网的建设进行完善。由于自动站与基础站有一定的差异,建议对自动气象站的资料质量进行系统的评估。By using the observational rainfall data from automatic weather station (AWS) and basic weather station (BWS) in Jiangsu province from June to November in 2006, the hourly and daily rainfall data are analyzed. To avoid the uncertainty in interpolation, the interpolation method has been adjusted. According to the rainfall data from BWS in Nanjing, Yangzhou, Wuxi and Changzhou, it shows that rain- falls of less than 5 mm/h occur frequently. As for the precipitation less than 5 mm/h or less than 10 mm/d, there are significant differences between the data from AWS and four BWS. Therefore ,it is signif- icant to adjust the data of AWS. Moreover, the analysis shows that whatever the magnitude is, the BWS rainfall data tends to be larger than that attained from AWS for both frontal and convective rainfall. Therefore,it is necessary to improve the AWS. Since there is significant difference between the data at- tained from AWS and BWS,it is suggested that the AWS data quality should be evaluated systemically.
分 类 号:P415.12[天文地球—大气科学及气象学]
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