京津冀区域卫星遥感对流层O3、NO2、颗粒物、甲醛数据集（2018年，分辨率≤0.1×0.1度）

包含2018年京津冀地区对流层臭氧（O3）、二氧化氮（NO2）、甲醛（HCHO）、气溶胶光学厚度（AOD）的月均值数据。基于OMI卫星原始光谱采用中国科学技术大学算法反演。O3首先采用最优估算法获取整层垂直廓线，然后通过积分获取对流层柱浓度；NO2和甲醛首先通过光谱拟合获取整层斜柱浓度（SCD），然后用大气辐射传输模型计算对流层大气质量因子（AMF），将斜柱浓度转换成垂直柱浓度（VCD）。对于NO2的反演，需要对整层VCD进行对流层和平流层分离得到对流层NO2的VCD。颗粒物数据为卫星遥感观测的气溶胶光学厚度（AOD），该数据基于Himawari卫星数据产品格点生成。

This dataset contains monthly mean data of tropospheric ozone (O3), nitrogen dioxide (NO2), formaldehyde (HCHO), and aerosol optical depth (AOD) over the Beijing-Tianjin-Hebei region in 2018. All retrievals are conducted using the algorithm developed by the University of Science and Technology of China (USTC) from the original OMI satellite spectral data. For O3, the total vertical profile is first obtained via the optimal estimation method, followed by vertical integration to derive the tropospheric column concentration. For NO2 and HCHO, the total slant column density (SCD) is first retrieved through spectral fitting, then the tropospheric air mass factor (AMF) is calculated using an atmospheric radiative transfer model to convert the SCD into vertical column density (VCD). For NO2 retrievals specifically, the total VCD must be separated into tropospheric and stratospheric fractions to obtain the tropospheric NO2 VCD. The particulate matter data in this dataset refers to satellite remotely sensed aerosol optical depth (AOD), which is gridded from Himawari satellite data products.

搜集汇总

背景与挑战

背景概述

该数据集包含2018年京津冀地区对流层O3、NO2、HCHO和AOD的月均值数据，基于卫星遥感数据反演，空间分辨率高（≤0.1×0.1度），适用于环境科学研究。