东亚地区高分辨率对流层二氧化氮垂直柱浓度数据集POMINO-GEMS v1（2020-2022）

POMINO-GEMS数据基于北京大学ACM研究组自行开发的POMINO-GEMS反演算法。该算法使用并行LIDORT辐射传输模式驱动的AMFv6软件包，重点改进了对流层NO2大气质量因子（AMF）的计算。POMINO-GEMS算法使用了MODIS MCD43C2.061数据集的逐日BRDF系数和OMLER v3地表反照率数据计算地表反射率。算法使用了嵌套的GEOS-Chem (v9-02)模式的气溶胶数据来显性表征气溶胶光学效应。此外，该算法使用了MODIS MYD04_L2的月平均AOD数据对模拟的AOD进行修正。在计算对流层NO2 AMF之前，POMINO-GEMS算法使用了一致的先验参数对云分数和云顶气压进行了重新反演。此外，通过融合GEMS, TROPOMI的观测数据和GEOS-CF的模式数据，该算法还改进了GEMS的对流层NO2斜柱浓度。基于POMINO-GEMS算法的对流层NO2斜柱浓度和对流层NO2 AMF，得到POMINO-GEMS对流层NO2垂直柱浓度。详细信息和更多数据请访问http://www.pku-atmos-acm.org/acmProduct.php/#GEMS.

The POMINO-GEMS dataset is based on the POMINO-GEMS retrieval algorithm independently developed by the ACM Research Group at Peking University. This algorithm utilizes the AMFv6 software package driven by the parallel LIDORT radiative transfer model, with a focus on improving the calculation of tropospheric NO2 atmospheric mass factor (AMF). The POMINO-GEMS algorithm uses the daily BRDF coefficients from the MODIS MCD43C2.061 dataset and OMLER v3 surface albedo data to calculate surface reflectance. The algorithm employs aerosol data from the nested GEOS-Chem (v9-02) model to explicitly characterize aerosol optical effects. Additionally, the algorithm corrects the simulated AOD using monthly-averaged AOD data from MODIS MYD04_L2. Prior to calculating the tropospheric NO2 AMF, the POMINO-GEMS algorithm performs a re-retrieval of cloud fraction and cloud top pressure using consistent prior parameters. Furthermore, by fusing observational data from GEMS and TROPOMI alongside model data from GEOS-CF, the algorithm also improves the tropospheric NO2 slant column concentration for GEMS. The POMINO-GEMS tropospheric NO2 vertical column concentration is calculated based on the tropospheric NO2 slant column concentration and tropospheric NO2 AMF generated by the POMINO-GEMS algorithm. For detailed information and more data, please visit http://www.pku-atmos-acm.org/acmProduct.php/#GEMS.

搜集汇总

背景与挑战

背景概述

该数据集提供了东亚地区2020-2022年高分辨率对流层二氧化氮垂直柱浓度数据，空间分辨率为1km-10km，时间分辨率为月，数据大小为14.02GB。数据基于POMINO-GEMS反演算法，融合了GEMS、TROPOMI观测数据和GEOS-CF模式数据，改进了对流层NO2斜柱浓度和AMF计算。