摘要
采用邻近插值和双线性插值方法,将国家气象信息中心研发的能见度实况融合格点分析产品插值到四川省156个国家级考核站,选取2018年11月25日四川盆地一次大雾天气过程,对其在四川盆地的适用性进行评估。结果表明,该产品误差普遍在5km范围内,随着海拔的增加,逐渐由低估转为高估;分级检验为:30km以上能见度的误差最大,随着能见度的下降,误差也逐渐下降。大雾过程中,产品能监测低能见度天气,表现出落区的变化,能见度在30km以上时,格点实况以高估为主,30km以下时随着能见度的降低,格点实况从低估逐渐转为高估。
The proximity interpolation and bilinear interpolation methods were used to interpolate the visibility live fusion grid analysis product developed by the National Meteorological Information Center to 156 national assessment stations in Sichuan Province. A dense fog weather process in Sichuan Basin on November 25,2018 was selected to evaluate its applicability in Sichuan Basin. The results show that the error of the product is generally within 5 km, and gradually changes from underestimation to overestimation with the increase of altitude.The classification test results show that the error of visibility above 30 km is the largest, and the error decreases gradually with the decrease of visibility. During the dense fog, the product can monitor low visibility weather and show the change of falling area. When the visibility is above 30 km, the grid point reality is mainly overestimated;when the visibility is below 30 km, the grid point reality gradually changes from underestimation to overestimation.
作者
龙柯吉
宋雯雯
黄晓龙
Long Keji;Song Wenwen;Huang Xiaolong(Key Laboratory of Air Sounding,China Meteorological Administration,Chengdu Sichuan 610225,China;Sichuan Meteorological Observatory,Chengdu Sichuan 610072,China;Sichuan Meteorological Service Center,Chengdu Sichuan 610072,China;Sichuan Key Laboratory of Rainstorm,Drought and Flood Disasters in Plateau and Basin,Chengdu Sichuan 610072,China;Sichuan Meteorological Observation Data Center,Chengdu Sichuan 610072,China)
出处
《气象研究与应用》
2021年第4期50-55,共6页
Journal of Meteorological Research and Application
基金
中国气象局大气探测重点开放实验室开放课题(2021KLAS02M)
中国气象局创新发展专项(CXFZ2021Z07)
高原与盆地暴雨旱涝灾害四川省重点实验室重点专项(SCQXKJZD2020002)
高原与盆地暴雨旱涝灾害四川省重点实验室科技发展基金(SCQXKJYJXMS202117)。
关键词
能见度
实况融合格点产品
大雾
插值
评估
visibility live fusion grid product
dense fog
interpolation
assessment
