摘要
对FY-4A卫星的气溶胶光学厚度(AOD)产品进行检验,并根据卫星相关观测资料,通过改进后的PMRS方法,反演得到中国近地面PM_(2.5)质量浓度网格化分布。结果表明,FY-4A卫星反演不同站点AOD与地基观测网(AERONET)观测结果吻合较好,但存在一定的低估或高估现象,相关系数区间为0.54-0.87。将细粒子比(FMF)以0.4为界进行划分,FMF>0.4时,拟合结果较FMF≤0.4时更接近于AERONET观测结果;但FMF≤0.4时,卫星反演的AOD稳定性优于FMF>0.4时。通过引入AOD的大小,改进FMF>0.4时对细粒子柱状体积消光比(VEf)的估算算法,并通过改进后的PMRS方法对中国近地面PM_(2.5)浓度进行逐时反演,其反演结果和地面观测结果相关较好,其中,乌鲁木齐、石家庄和徐州观测点的相关系数均高于0.7,但数值上仍存在高估或低估,误差结果由多种因素决定。空间分布中,卫星反演的中国2019年近地面PM_(2.5)浓度月均值与近地面观测的结果有较好的对应关系,二者逐月演变趋势基本一致,基本可以反映出中国近地面大气细粒子的空间分布,特别是秋、冬季京津冀周边区域、汾渭平原等污染高值区均与地面观测对应较好。
In this study,the aerosol optical depth(AOD)products of the FY-4A satellite are evaluated base on the satellite data,gridded distribution of near surface PM_(2.5) mass concentration in China is retrieved using the improved PMRS method.The results show that the FY-4A satellite retrieved AOD and AERONET observations agree well at various sites,although there exist certain underestimates or overestimates.The correlation ranges from 0.54 to 0.87.FMF is divided by the criterion of 0.4.When FMF>0.4,the fitting results are closer to the observations of AERONET than that when FMF≤0.4;however,when FMF≤0.4,the AOD stability of satellite retrievals is better than that when FMF>0.4.By introducing the size of AOD,the estimation algorithm for VEf is improved when FMF>0.4.Using the improved PMRS method,hourly retrievals of China near-surface PM_(2.5) are better correlated with the surface observation.Among all the results,the correlations between retrievals and observations are higher than 0.7 at Urumqi,Shijiazhuang and Xuzhou.However,there are overestimates or underestimates in the retrievals and the errors are determined by various factors.Regarding the spatial distribution,the national average of near-surface PM_(2.5) of satellite retrievals has a good correspondence with the results of near-surface observations in 2019.The monthly variation trends of the two are basically the same,which can basically reflect the spatial distribution of the near-surface PM_(2.5) in China.Specifically,in autumn and winter,satellite retrievals over the areas around Beijing-Tianjin-Hebei,the Fen-Wei Plain and other high-pollution areas all correspond well with ground observations.
作者
江琪
迎春
王飞
张天航
何佳宝
桂海林
张碧辉
徐冉
JIANG Qi;YING Chun;WANG Fei;ZHANG Tianhang;HE Jiabao;GUI Hailin;ZHANG Bihui;XU Ran(National Meteorological Centre,Beijing 100081,China;Shangdianzi National Atmosphere Background Station,Beijing 101507,China;Meteorological Bureau of Xilinguole League of Inner Mongolia,Xilinguole 026000,China;Chinese Academy of Meteorological Sciences,Beijing 100081,China;Environment Monitoring Center of Ningbo,Ningbo 315012,China)
出处
《气象学报》
CAS
CSCD
北大核心
2021年第3期492-508,共17页
Acta Meteorologica Sinica
基金
国家重点研发计划项目(2019YFC0214602)
国家自然科学基金项目(41875181)
中国气象局气象预报业务关键技术发展专项(YBGJXM(2019)02-02)
上甸子国家大气本底站开放研究课题(SDZ2020613)。
