[口头报告]POMINO-GEMS：A Research Product for Tropospheric NO2 Columns from Geostationary Environment Monitoring Spectrometer

POMINO-GEMS：A Research Product for Tropospheric NO2 Columns from Geostationary Environment Monitoring Spectrometer
编号：3603 稿件编号：1382 访问权限：私有 更新：2023-04-16 15:53:05 浏览：613次 口头报告

报告开始：2023年05月07日 11:25 （Asia/Shanghai）

报告时间：15min

所在会议：[14C] 14C、气溶胶与大气环境 » [14C-2] 14C-2 气溶胶与大气环境

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摘要
Nitrogen dioxide (NO2) is a major air pollutant. Tropospheric NO2 vertical column densities (VCDs) retrieved based on sun-synchronous satellite instruments have provided abundant NO2 data for environmental studies, but such data are limited by insufficient temporal sampling (e.g., once a day). The Geostationary Environment Monitoring Spectrometer (GEMS) launched in February 2020 allows retrieval of NO­2 at an unprecedented high temporal resolution. Here we present a research product for tropospheric NO2 VCDs referred to as POMINO-GEMS. We develop a hybrid method combining GEMS and TROPOMI observations as well as GEOS-Chem simulations to generate hourly tropospheric NO2 slant column densities (SCDs). We then derive tropospheric NO2 air mass factors (AMFs) with explicit corrections for the anisotropy of surface reflectance and aerosol optical effects, through pixel-by-pixel radiative transfer calculations. Prerequisite cloud parameters are retrieved with O2-O2-based cloud algorithm by using ancillary parameters consistent with those used in NO2 AMF calculations. Initial data of POMINO-GEMS tropospheric NO2 VCDs for June–August 2021 exhibit strong hotspot signals over megacities and distinctive diurnal variations over polluted and clean areas. POMINO-GEMS NO2 VCDs agree well with our POMINO-TROPOMI v1.2.2 product (R = 0.96, and NMB = 6.9%). Comparison with MAX-DOAS VCD data at five sites shows a small bias of POMINO-GEMS (NMB = –12.2%); yet the correlation for diurnal variation varies from -0.57 to 0.86, suggesting strong location-dependent performance. Surface NO2 concentrations estimated from POMINO-GEMS VCDs are consistent with measurements from the Ministry of Ecology and Environment of China at 855 sites (NMB = – 5.6%, and R = 0.96 for diurnal correlation averaged over all sites). POMINO-GEMS will be made freely available for users to study the spatiotemporal variations, sources and impacts of NO2.
 
关键字
satellite remote sensing,GEMS,tropospheric NO2 VCDs
报告人
张宇航
北京大学

稿件作者
ZhangYuhang Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University
LinJintai Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University
KimJhoon Department of Atmospheric Sciences, Yonsei University
LeeHanlim Pukyong National University
ParkJunsung Pukyong National University
HongHyunkee National Institute of Environmental Research
RoozendaelMichel BIRA-IASB, Belgian Institute for Space Aeronomy
HeQin School of Environment and Geoinformatics, China University of Mining and Technology
QinKai School of Environment and Geoinformatics, China University of Mining and Technology
ChoiYongjoo Department of Environmental Science, Hankuk University of Foreign Studies
KanayaYugo Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
XuJin Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science
XiePinhua University of Chinese Academy of Sciences；Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science
SpurrRobert RT Solutions Inc.
ChenLulu Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University
KongHao Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University
LiuMengyao R&D Satellite Observations Department, Royal Netherlands Meteorological Institute
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徐 鹏（13554674258；xupengwhu@whu.edu.cn）
学术安排：
王伦澈（13349889828；wang@cug.edu.cn）
庄艳华（13349889826；zhuang@apm.ac.cn）
李星华（15527964369；lixinghua5540@whu.edu.cn）
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管小彬（18007973663；guanxb@whu.edu.cn）
赵 林（18071070948；linzhao@whu.edu.cn）
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