Home Journals Articles Updates About
CN
image
收藏切换
Satellite-based emission inversion for air pollutants and greenhouse gases：A review
收藏切换
PDF
Zhe JIANG1, Jintai LIN2, Tailong HE3, Fei JIANG4, Jianbing JIN5, Kai QIN6, Lulu SHEN2, Panpan YANG1, Zengliang ZANG7, Lin ZHANG2, Yuzhong ZHANG8, Bo ZHENG9, Huiru ZHONG2, Lei ZHU10
Acta Meteorologica Sinica | 2025, 83(5) : 1339 - 1362
Less
收藏切换
Acta Meteorologica Sinica | 2025, 83(5): 1339-1362
• Review •
Satellite-based emission inversion for air pollutants and greenhouse gases：A review
Full
Zhe JIANG1, Jintai LIN2, Tailong HE3, Fei JIANG4, Jianbing JIN5, Kai QIN6, Lulu SHEN2, Panpan YANG1, Zengliang ZANG7, Lin ZHANG2, Yuzhong ZHANG8, Bo ZHENG9, Huiru ZHONG2, Lei ZHU10
Affiliations
  • 1.School of Earth System Science，Tianjin University，Tianjin 300072，China
  • 2.Laboratory for Climate and Ocean-Atmosphere Studies，Department of Atmospheric and Oceanic Sciences，Peking University，Beijing 100871，China
  • 3.Department of Aeronautics and Astronautics，Massachusetts Institute of Technology，Massachusetts 02139，USA
  • 4.International Institute for Earth System Science，Nanjing University，Nanjing 210023，China
  • 5.School of Environmental Science and Engineering，Nanjing University of Information Science and Technology，Nanjing 211544，China
  • 6.School of Environment and Spatial Informatics，China University of Mining and Technology，Xuzhou 221116，China
  • 7.College of Meteorology and Oceanography，National University of Defense Technology，Changsha 410073，China
  • 8.School of Engineering，Westlake University，Hangzhou 310030，China
  • 9.Tsinghua Shenzhen International Graduate School，Shenzhen 518055，China
  • 10.School of Environmental Science and Engineering，Southern University of Science and Technology，Shenzhen 518055，China
Published: 2025-10-10 doi: 10.11676/qxxb2025.20240145
Outline
收藏切换

Retrievals of satellite-observed emissions of atmospheric pollutants and greenhouse gases provide essential information and data for understanding the sources of these key atmospheric compositions and for implementing precise emission control measures. Over the past two decades, significant progress has been made in the field of emission inversion, with Chinese researchers playing a substantial role. In celebration of the 100th anniversary of the Chinese Meteorological Society and Acta Meteorologica Sinica, this paper systematically reviews the advances in satellite-based emission inversion research by Chinese scientists during this period. (1) Several widely used inversion methodologies, including data assimilation, local mass balance, Gaussian models, two-dimensional (2D) models, and machine learning, are briefly summarized. (2) Emission inversion studies focusing on major atmospheric pollutants— such as nitrogen oxides (NOx), ammonia (NH3), formaldehyde (HCHO), glyoxal (CHOCHO), sulfur dioxide (SO2), and carbon monoxide (CO)—as well as greenhouse gases like carbon dioxide (CO2) and methane (CH4), are systematically elaborated. (3) Finally, the historical evolution of inversion methods and target species, challenges in current satellite-based emission inversion, and future research directions are discussed to promote more accurate quantification of atmospheric pollutants and greenhouse gas emissions. It is worth noting that contributions from Chinese researchers have provided critical scientific support to environmental protection and carbon neutrality efforts in China.

Emission inversion  /  Atmospheric pollutants  /  Greenhouse gases  /  Satellite observation
Zhe JIANG, Jintai LIN, Tailong HE, Fei JIANG, Jianbing JIN, Kai QIN, Lulu SHEN, Panpan YANG, Zengliang ZANG, Lin ZHANG, Yuzhong ZHANG, Bo ZHENG, Huiru ZHONG, Lei ZHU. Satellite-based emission inversion for air pollutants and greenhouse gases：A review[J]. Acta Meteorologica Sinica, 2025 , 83 (5) : 1339 -1362 . DOI: 10.11676/qxxb2025.20240145
Appendix
Less
Year 2025 volume 83 Issue 5
PDF
199
106
Cite this Article
BibTeX
Article Info
doi: 10.11676/qxxb2025.20240145
  • Receive Date：2024-09-06
  • Online Date：2026-03-27
  • Published：2025-10-10
Article Data
Affiliations
History
  • Received：2024-09-06
  • Revised：2025-09-12
Funding
Affiliations
    1.School of Earth System Science，Tianjin University，Tianjin 300072，China
    2.Laboratory for Climate and Ocean-Atmosphere Studies，Department of Atmospheric and Oceanic Sciences，Peking University，Beijing 100871，China
    3.Department of Aeronautics and Astronautics，Massachusetts Institute of Technology，Massachusetts 02139，USA
    4.International Institute for Earth System Science，Nanjing University，Nanjing 210023，China
    5.School of Environmental Science and Engineering，Nanjing University of Information Science and Technology，Nanjing 211544，China
    6.School of Environment and Spatial Informatics，China University of Mining and Technology，Xuzhou 221116，China
    7.College of Meteorology and Oceanography，National University of Defense Technology，Changsha 410073，China
    8.School of Engineering，Westlake University，Hangzhou 310030，China
    9.Tsinghua Shenzhen International Graduate School，Shenzhen 518055，China
    10.School of Environmental Science and Engineering，Southern University of Science and Technology，Shenzhen 518055，China
References
Share
https://castjournals.cast.org.cn/joweb/qxxb/EN/10.11676/qxxb2025.20240145
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House