摘要
在ANUSPLIN薄盘光滑样条插值中,高相关协变量的选取决定了插值结果的精确性。本文选取2017—2019年大雾和霾能见度较差的天气过程,利用183个能见度观测站点对能见度进行插值,引入Himawari-8卫星的通道数据和DEM数据作为协变量对能见度的插值结果进行改进,并对能见度插值结果进行对比分析。研究表明,引入Himawari-8数据和DEM数据作为协变量的能见度插值结果在精度上有显著提高,尤其对雾区和霾区的边界范围和纹理的反演更为准确,基于Himawari-8卫星数据和气象监测站点的观测数据,使用协变量的方法进行能见度插值可以做为能见度监测网格化的一种有效途径。
In the ANUSPLIN thin-plate smooth spline interpolation,the accuracy of interpolation results is mainly determined by choosing the independent covariates.This article selected the weather processes with poor visibility in heavy fogs and hazes from 2017 to 2019,using 183 visibility observation sites to interpolate visibility,and introduced the Himawari-8 satellite channel data and DEM data as covariables to improve the visibility interpolation results.The visibility interpolation effects are compared and analyzed.The results show that the visibility interpolation effect of Himawari-8 data and DEM data as covariables is significantly improved in accuracy,especially in the inversion of the boundary range and texture of fog and haze areas.The accuracy of interpolation using the covariate method and interpolation only using the observed values is greatly improved.
作者
赵春雷
杨鹏
张杏敏
赵增保
冯一淳
ZHAO Chunlei;YANG Peng;ZHANG Xingmin;ZHAO Zengbao;FENG Yichun(Meteorological Institute of Hebei Province,Shijiazhuang 050021;Key Laboratory of Meteorology and Ecological Environment of Hebei Province,Shijiazhuang 050021;Shijiazhuang Meteorological service,Shijiazhuang,050081;Meteorological Service Centre of Hebei Province,Shijiazhuang 050021;Chengde Meteorological Service,Hebei,Chengde 067000)
出处
《气象科技》
2020年第1期52-58,共7页
Meteorological Science and Technology
基金
河北省气象局科研开发面上项目“基于葵花卫星的雾区和PM2.5浓度反演技术”(16kyd06)资助.
