江琪. 2021. 利用FY-4A卫星光学数据数据对我国近地面PM2.5浓度的估算和检验分析[J]. 气象学报, (0):-, doi:10.11676/qxxb2021.024
利用FY-4A卫星光学数据数据对我国近地面PM2.5浓度的估算和检验分析
Estimation and verification of Surface PM2.5 Mass Concentration In China Based on FY-4A Satellite Optical productsdata
投稿时间:2020-05-18  修订日期:2020-12-16
DOI:10.11676/qxxb2021.024
中文关键词:  FY-4A  卫星反演  FMF  AOD  检验
英文关键词:FY-4A  Satellite inversion  FMF  AOD  Estimation
基金项目:
作者单位邮编
江琪 国家气象中心 100081
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中文摘要:
      本文对FY-4A卫星的AOD产品进行检验,并根据卫星相关资料,通过改进后的PMRS方法,反演得到我国近地面PM2.5质量浓度网格化分布。结果表明,FY-4卫星反演不同站点AOD与AERONET观测结果吻合较好,但存在一定的低估或高估,相关性R区间为0.54-0.87。将FMF以0.4的界限进行划分,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VEf的估算算法,并通过改进后的PMRS方法对我国近地面PM2.5进行逐小时反演,其反演结果和地面观测结果相关性较好,其中,乌鲁木齐、石家庄和徐州观测点的相关性(R)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,卫星反演的全国2019年近地面PM2.5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,基本可以反映出我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。
英文摘要:
      In this study,the AOD products of the FY-4A satellite are tested, and based on the satellite-related data, through the improved PMRS method, the grid distribution of PM2.5 mass concentration in China near surface is obtained by inversion. The results showed that FY-4 satellite inversion AOD and AERONET observations at different sites are in good agreement, but there is some underestimation or overestimation, the correlation R ranging from 0.54 to 0.87. FMF is divided by 0.4. When FMF> 0.4, the fitting result is closer to the observation result of AERONET than FMF≤0.4; but when FMF≤0.4, the AOD stability of satellite inversion is better than that of FMF> 0.4. By introducing the size of AOD, the estimation algorithm for VEf when FMF> 0.4 is improved, and through the improved PMRS method, hourly inversion of China near-surface PM2.5 is performed with better correlation between the inversion results and the surface observation. Among them, the correlation (R) of the observation points of Urumqi, Shijiazhuang and Xuzhou are all higher than 0.7. However, there is still an overestimation or underestimation in the inversion values, and the error is determined by various factors. In the spatial distribution, the national average of the near-surface PM2.5 in 2019 by satellite inversion has a good correspondence with the results of near-surface observations. The monthly evolution trends of the two are basically the same, which can basically reflect the spatial distribution of the near-surface PM2.5 in China. Especially in autumn and winter, the areas around Beijing-Tianjin-Hebei, the Fenwei Plain and other high-pollution areas all correspond well with ground observations.
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