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四川CLDAS 5 km小时能见度实况产品与能见度观测站资料质量对比评估
引用本文:蒋雨荷,黄晓龙,李施颖,杜冰,吴薇.四川CLDAS 5 km小时能见度实况产品与能见度观测站资料质量对比评估[J].高原山地气象研究,2020,40(3):73-78.
作者姓名:蒋雨荷  黄晓龙  李施颖  杜冰  吴薇
作者单位:高原与盆地暴雨旱涝灾害四川省重点实验室,成都 610072;四川省气象探测数据中心,成都 610072;高原与盆地暴雨旱涝灾害四川省重点实验室,成都 610072;四川省气象探测数据中心,成都 610072;高原与盆地暴雨旱涝灾害四川省重点实验室,成都 610072;四川省气象探测数据中心,成都 610072;高原与盆地暴雨旱涝灾害四川省重点实验室,成都 610072;四川省气象探测数据中心,成都 610072;高原与盆地暴雨旱涝灾害四川省重点实验室,成都 610072;四川省气象探测数据中心,成都 610072
基金项目:气象预报业务关键技术发展专项项目“复杂地形条件下实况产品检验与应用”(YBGJXM(2020)1A-08,YBGJXM(2019)01-07))四川省气象局课题“地形因子对温度实况分析产品精度影响的评价研究”(SCQXKJQN2020035)
摘    要:利用四川省CLDAS 5km小时能见度实况产品和能见度观测站资料,将智能网格小时能见度产品按双线性和邻近插值的方法插值到四川省156个国家级能见度观测站上,比较两者的相关系数、均方根误差、平均值误差、平均绝对误差等参数,对CLDAS 5km小时能见度实况产品进行质量评估并对数据的可用性做了分析,结果显示:小时能见度产品在四川盆地及攀西地区中部的相关系数较高,普遍在0.7以上,误差值较小,平均值误差普遍为负值,表明有小的低估值,数据可用性较好;而川西高原及攀西地区南部的相关系数小,误差值大,平均值误差普遍为正值,表明多为高估值,数据可用性一般。分级评估表明:随着能见度等级的降低,高原地区的缺测数据越来越多,盆地内的高估值也明显增加,能见度等级为“优”与“良”时的数据可用性较好。 

关 键 词:能见度  智能网格产品  双线性插值  邻近插值
收稿时间:2020-06-16

Comparison and Evaluation of the Data Quality between CLDAS 5km Hourly Visibility Products and Visibility Observation Stations in Sichuan Province
Institution:1. Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072, China;2. Sichuan Meteorological Observation and Data Centre, Chengdu 610072, China
Abstract:Using the data of CLDAS 5 km hourly visibility products and visibility observation stations in Sichuan Province,the intelligent grid hourly visibility products were interpolated to 156 national visibility instrument observation stations in Sichuan Province by bilinear and neighboring interpolation methods.The correlation coefficient,root mean square error,mean value error,mean absolute error and other parameters of the two were compared,and the data of CLDAS 5 km hourly visibility products were evaluated and the data availability were analyzed. The correlation coefficient of the hourly visibility products in the Sichuan Basin and the central part of the Panxi area was high,generally above 0.7,the error value was small,and the mean value error was generally negative,indicating a small underestimation and good data availability; However,the correlation coefficient was small and the error value was large in the western Sichuan Plateau and the southern part of the Panxi area. The mean value error was generally positive,indicating that most of them were highly estimated and the data availability was average. The grading evaluation shows that as the visibility level decreases,there were more and more missing data in the plateau area,and the high valuation in the basin also increases significantly. The availability of data with visibility levels of "excellent" and "good" was better. 
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