Articles | Volume 15, issue 16
https://doi.org/10.5194/amt-15-4819-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-4819-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Aug 2022
Research article |
| 24 Aug 2022
| 24 Aug 2022
Monitoring greenhouse gases (GHGs) in China: status and perspective
Youwen Sun
Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, 230031, China
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China
Hao Yin
Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, 230031, China
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China
Wei Wang
Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, 230031, China
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China
Changgong Shan
Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, 230031, China
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China
Justus Notholt
Institute of Environmental Physics, University of Bremen, P.O. Box 330440, 28334 Bremen, Germany
Mathias Palm
Institute of Environmental Physics, University of Bremen, P.O. Box 330440, 28334 Bremen, Germany
Ke Liu
Department of Atmospheric Measurement, Kaihang Institute of Measurement and Control Technology, Xi'an, 710065, China
Zhenyi Chen
CORRESPONDING AUTHOR
School of Ecology and Environment, Beijing Technology and Business University, Beijing, 100048, China
Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, 230031, China
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, University of Science and Technology of China, Hefei, 230026, China
Anhui Province Key Laboratory of Polar Environment and Global Change, University of Science and Technology of China, Hefei, 230026, China
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Cited
8 citations as recorded by crossref.
- Soil–Atmosphere Greenhouse Gas Fluxes in a Background Area in the Tomsk Region (Western Siberia) M. Arshinov et al. 10.1134/S1024856023030028
- Generating daily high-resolution and full-coverage XCO2 across China from 2015 to 2020 based on OCO-2 and CAMS data T. Li et al. 10.1016/j.scitotenv.2023.164921
- 大气甲烷卫星传感器和遥感算法研究综述 何. He Zhuo et al. 10.3788/AOS230429
- Multi-sensor integrated mapping of global XCO2 from 2015 to 2021 with a local random forest model J. Chen et al. 10.1016/j.isprsjprs.2024.01.009
- Revisiting the quantification of power plant CO2 emissions in the United States and China from satellite: A comparative study using three top-down approaches C. He et al. 10.1016/j.rse.2024.114192
- A methane monitoring station siting method based on WRF-STILT and genetic algorithm L. Fan et al. 10.3389/fenvs.2024.1394281
- Generating Daily High-Resolution Regional XCO2 by Deep Neural Network and Multi-Source Data W. Tian et al. 10.3390/atmos15080985
- Inter-comparison and evaluation of global satellite XCO 2 products H. Yang et al. 10.1080/10095020.2023.2252017
8 citations as recorded by crossref.
- Soil–Atmosphere Greenhouse Gas Fluxes in a Background Area in the Tomsk Region (Western Siberia) M. Arshinov et al. 10.1134/S1024856023030028
- Generating daily high-resolution and full-coverage XCO2 across China from 2015 to 2020 based on OCO-2 and CAMS data T. Li et al. 10.1016/j.scitotenv.2023.164921
- 大气甲烷卫星传感器和遥感算法研究综述 何. He Zhuo et al. 10.3788/AOS230429
- Multi-sensor integrated mapping of global XCO2 from 2015 to 2021 with a local random forest model J. Chen et al. 10.1016/j.isprsjprs.2024.01.009
- Revisiting the quantification of power plant CO2 emissions in the United States and China from satellite: A comparative study using three top-down approaches C. He et al. 10.1016/j.rse.2024.114192
- A methane monitoring station siting method based on WRF-STILT and genetic algorithm L. Fan et al. 10.3389/fenvs.2024.1394281
- Generating Daily High-Resolution Regional XCO2 by Deep Neural Network and Multi-Source Data W. Tian et al. 10.3390/atmos15080985
- Inter-comparison and evaluation of global satellite XCO 2 products H. Yang et al. 10.1080/10095020.2023.2252017
Latest update: 23 Nov 2024
Short summary
This study summarizes an overview of the status and perspective of GHG monitoring in China. This study not only improves our understanding with respect to the status, advances, and challenges of GHG monitoring in China but also presents an outlook for further improving GHG monitoring capacity in China.
This study summarizes an overview of the status and perspective of GHG monitoring in China. This...
