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doi:  10.12013/qxyjzyj2020-017
基于格点场的江西省气象和水文降水资料对比分析

Comparative analysis of meteorological and hydrological prepitation data based on spatial interpolation in Jiangxi province
摘要点击 124  全文点击 93  投稿时间:2020-03-25  修订日期:2020-05-10
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基金:  江西省科技厅项目(2015BBG70053;20202BBGL73099);江西省气象局2018年重点项目“江西省‘霾日’观测资料均一性检验方法研究”
中文关键词:  降水资料,气象站,水文站,相关性,误差
英文关键词:  precipitation data  weather station  hydrological station  correlation  error
              
作者中文名作者英文名单位
黄少平Huang Shaoping江西省气象信息中心
赖亮Lai Liang江西省气象信息中心
刘海燕Liu Haiyan江西省气象信息中心
李显风Li Xianfeng江西省气象信息中心
王钰Wang Yu江西省气象信息中心
引用:黄少平,赖亮,刘海燕,李显风,王钰.2020,基于格点场的江西省气象和水文降水资料对比分析[J].气象与减灾研究,43(2):130-136
中文摘要:
      应用反距离权重插值法,将2019年4—6月江西省气象部门自动气象站和水利部门自动雨量站逐小时降水观测数据,分别转换为分辨率为0.05°×0.05°格点降水资料,以对比分析两种观测系统降水资料的相关性、误差及其时空变化规律。结果表明:1) 气象、水文降水量格点场具有显著相关关系,其中中度及以上相关的格点数占总数的99.54%;两者的平均相关系数为0.93,平均均方根误差为0.56 mm/h,绝对误差为0.13 mm/h,误差为-0.01 mm/h;气象与水文降水总量平均差异在-4%左右。2) 出现零星或短时降水时,气象、水文小时降水量格点场相关性差异较大;而出现系统性降水过程时,两者表现为高度相关。逐时格点平均降水量,在系统性降水的初期和结束期气象类高于水文类,而持续期水文类高于气象类,两者差异在-6%—6%以内。3) 气象、水文降水资料在时间和空间分布上具有较好的一致性,对两者的融合应用可以明显提高站点密度,站网分布更合理,能更准确地反映过程降水的时空变化。
Abstract:
      In order to compare the relationship, error and spatio temporal variation characteristics between the precipitation data obtained from meteorological and hydrological automatic stations in Jiangxi, the hourly precipitation data observed during April and June in 2019 were converted to 0.05°×0.05° grid data using Inverse Distance Weighted Interpolation. The results showed that: 1) The average correlation coefficient of the precipitation grid data based on meteorological and hydrological observations reached 0.93, the average root mean square error was 0.56 mm/h, the absolute error was 0.13 mm/h, error was -0.01 mm/h, and the difference between them was about -4%. 2)The correlations of the precipitation grid data based on meteorological and hydrological observations were poor for occasional and short term rainfall processes, while higher correlations were found for systemic precipitation processes. Compared to the hydrological grid data, the average hourly precipitation grid data based on meteorological observations was higher during the early and termination phase of systematic precipitation process, but lower during the durative phase, and the difference between them was within +/-6%. 3) The spatio temporal distribution of meteorological precipitation grid data was in good agreement with that of hydrological grid data. The fusion application of meteorological and hydrological precipitation data can obviously improve the site density and distribution, which can better reflect the spatio temporal variations of precipitation.
主办单位:江西省气象学会 单位地址:南昌市高新开发区艾溪湖二路323号
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