Articles | Volume 23, issue 12
https://doi.org/10.5194/acp-23-6719-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-6719-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The carbon sink in China as seen from GOSAT with a regional inversion system based on the Community Multi-scale Air Quality (CMAQ) and ensemble Kalman smoother (EnKS)
Xingxia Kou
Institute of Urban Meteorology, China Meteorological Administration, Beijing, China
Key Laboratory of Urban Meteorology, China Meteorological Administration, Beijing, China
Zhen Peng
CORRESPONDING AUTHOR
School of Atmospheric Sciences, Nanjing University, Nanjing, China
Meigen Zhang
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
Fei Hu
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
Xiao Han
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
Ziming Li
Beijing Meteorological Observatory, Beijing, China
Lili Lei
School of Atmospheric Sciences, Nanjing University, Nanjing, China
Key Laboratory of Mesoscale Severe Weather, Ministry of Education, Nanjing University, Nanjing, China
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Cited
9 citations as recorded by crossref.
- Weaker regional carbon uptake albeit with stronger seasonal amplitude in northern mid-latitudes estimated by higher resolution GEOS-Chem model Z. Liu et al. 10.1016/j.scitotenv.2023.169477
- China's methane emissions derived from the inversion of GOSAT observations with a CMAQ and EnKS-based regional data assimilation system X. Kou et al. 10.1016/j.apr.2024.102333
- Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. 10.3390/rs16183394
- A new global carbon flux estimation methodology by assimilation of both in situ and satellite CO2 observations W. Su et al. 10.1038/s41612-024-00824-w
- Exploring ecological carbon sequestration advantage and economic responses in an ecological security pattern: A nature-based solutions perspective L. Wang et al. 10.1016/j.ecolmodel.2023.110597
- Estimation of carbon emissions in various clustered regions of China based on OCO-2 satellite XCO2 data and random forest modelling Y. Tan et al. 10.1016/j.atmosenv.2024.120860
- Seasonal and Diurnal Variations in XCO2 Characteristics in China as Observed by OCO‐2/3 Satellites: Effects of Land Cover and Local Meteorology H. Zhao et al. 10.1029/2023JD038841
- Site selection and effects of background towers on urban CO2 estimates: A case study from central downtown Zhengzhou in China G. Ren et al. 10.1016/j.envres.2024.120169
- Using OCO-2 Observations to Constrain Regional CO2 Fluxes Estimated with the Vegetation, Photosynthesis and Respiration Model I. Konovalov et al. 10.3390/rs17020177
9 citations as recorded by crossref.
- Weaker regional carbon uptake albeit with stronger seasonal amplitude in northern mid-latitudes estimated by higher resolution GEOS-Chem model Z. Liu et al. 10.1016/j.scitotenv.2023.169477
- China's methane emissions derived from the inversion of GOSAT observations with a CMAQ and EnKS-based regional data assimilation system X. Kou et al. 10.1016/j.apr.2024.102333
- Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. 10.3390/rs16183394
- A new global carbon flux estimation methodology by assimilation of both in situ and satellite CO2 observations W. Su et al. 10.1038/s41612-024-00824-w
- Exploring ecological carbon sequestration advantage and economic responses in an ecological security pattern: A nature-based solutions perspective L. Wang et al. 10.1016/j.ecolmodel.2023.110597
- Estimation of carbon emissions in various clustered regions of China based on OCO-2 satellite XCO2 data and random forest modelling Y. Tan et al. 10.1016/j.atmosenv.2024.120860
- Seasonal and Diurnal Variations in XCO2 Characteristics in China as Observed by OCO‐2/3 Satellites: Effects of Land Cover and Local Meteorology H. Zhao et al. 10.1029/2023JD038841
- Site selection and effects of background towers on urban CO2 estimates: A case study from central downtown Zhengzhou in China G. Ren et al. 10.1016/j.envres.2024.120169
- Using OCO-2 Observations to Constrain Regional CO2 Fluxes Estimated with the Vegetation, Photosynthesis and Respiration Model I. Konovalov et al. 10.3390/rs17020177
Latest update: 01 Apr 2025
Short summary
A CMAQ EnSRF-based regional inversion system was extended to resolve satellite retrievals into biogenic source–sink changes. The size of the assimilated biosphere sink in China inferred from GOSAT was −0.47 Pg C yr−1. The biosphere flux at the provincial scale was re-estimated following the refined description in the regional inversion.
A CMAQ EnSRF-based regional inversion system was extended to resolve satellite retrievals into...
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