一种基于OMI数据的中国区域对流层O3的反演方法

近年来, 臭氧成为我国各大城市大气的首要污染物, 因此对流层臭氧产品对于监测近地面臭氧浓度十分重要, 然而现有的对流层臭氧产品不能满足高空间分辨率、高时间分辨率的监测要求.利用时空拟合法对臭氧监测仪(OMI)臭氧总量数据进行修复, 再根据对流层臭氧残差法反演中国区域的对流层臭氧总量数据, 其结果表明: 从定性的角度考虑, 时空拟合法具有更好的修复效果, 从定量的角度考虑, 时空拟合法相对于克里金插值法和反距离加权法的RMSE、MAE均较小.利用对流层臭氧残差法得到的对流层臭氧廓线数据与OMI/MLS的官方臭氧产品有着较高的相关性, 其相关系数R最高为0.82.

Inversion of tropospheric ozone over China based on OMI data

In recent years, ozone has become the primary air pollution in major cities of China.Therefore, tropospheric ozone products are very important for monitoring near surface ozone concentration.However, existing ozone products cannot meet the requirements of high spatial & temporal resolution monitoring.Here, we use a spatial & temporal fitting method to repair the total ozone data from OMI, and then inverse the tropospheric ozone distribution by a residual approach.The results show that the spatial & temporal fitting method is qualitatively and quantitatively superior to both Kriging interpolation and inverse distance weighted interpolation, indicated by its smaller RMSE and MAE.The tropospheric ozone profile obtained by the proposed method is consistent with official ozone products of OMI/MLS according to their correlation coefficient (R) up to 0.82.