Zhao Xiaoyi, Griffin Debora, Fioletov Vitali, McLinden Chris, Liu Xiong, Park Junsung, Petropavlovskikh Irina, Hanisco Thomas F, Szykman James, Valin Lukas, Baumann Eric, Cede Alexander, Tiefengraber Martin, Gebetsberger Manuel, Uesato Itaru, Zheng Xiangdong, Ahn Soi, Chang Limseok, Lee Won-Jin, Kim Jae Hwan, Lee Hyunjin, Baek Kanghyun, Redondas Alberto, Fujiwara Masatomo, Wang Ting, Grutter Michel, Houck John C, Haffner David, Lee Sum Chi
Air Quality Research Division, Environment and Climate Change Canada, Toronto, ON, Canada.
Atomic and Molecular Physics Division, Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA, USA.
Geophys Res Lett. 2025 Jun 28;52(12):e2025GL114768. doi: 10.1029/2025GL114768.
The Tropospheric Emissions: Monitoring of Pollution (TEMPO) instrument, launched in April 2023, is North America's first geostationary air pollution monitoring satellite mission. Together with Asia's Geostationary Environment Monitoring Spectrometer (GEMS) launched in 2020 and Europe's upcoming Sentinel-4, TEMPO contributes to nearly global coverage provided by geostationary satellite constellation. TEMPO and GEMS offer hourly, high-resolution data of ozone surpassing the once-daily observations of instruments like the TROPOspheric Monitoring Instrument (TROPOMI) in temporal resolution. This study presents TEMPO's total ozone data, demonstrating TEMPO's ability to observe sudden changes in ozone and UV index. Furthermore, TEMPO and GEMS measurements are validated using ground-based monitoring networks (Brewer, Dobson, and Pandora). Results show good agreement but also highlight latitude-dependent discrepancies between the satellite and ground-based data sets (-2% to 2% for TEMPO, -1% to -3% for GEMS). Findings are further validated using TROPOMI data and reanalysis models.
污染监测(TEMPO)仪器于2023年4月发射,是北美首个地球静止空气污染监测卫星任务。TEMPO与2020年发射的亚洲地球静止环境监测光谱仪(GEMS)以及欧洲即将推出的哨兵-4一起,为地球静止卫星星座提供的近乎全球覆盖做出了贡献。TEMPO和GEMS提供每小时一次的高分辨率臭氧数据,并在时间分辨率上超过了对流层监测仪器(TROPOMI)等仪器每天一次的观测。本研究展示了TEMPO的总臭氧数据,证明了TEMPO观测臭氧和紫外线指数突然变化的能力。此外,TEMPO和GEMS的测量结果通过地面监测网络(布鲁尔、多布森和潘多拉)进行了验证。结果显示出良好的一致性,但也突出了卫星数据集和地面数据集之间与纬度相关的差异(TEMPO为-2%至2%,GEMS为-1%至-3%)。研究结果通过TROPOMI数据和再分析模型得到了进一步验证。