Articles | Volume 21, issue 3
https://doi.org/10.5194/acp-21-1963-2021
© Author(s) 2021. 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-21-1963-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Feb 2021
Research article |
| 10 Feb 2021
| 10 Feb 2021
Regional CO2 fluxes from 2010 to 2015 inferred from GOSAT XCO2 retrievals using a new version of the Global Carbon Assimilation System
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing 210023, China
Jiangsu Center for Collaborative Innovation in Geographical
Information Resource Development and Application, Nanjing 210023, China
Hengmao Wang
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing 210023, China
Jing M. Chen
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing 210023, China
Department of Geography and Planning, University of Toronto, Toronto,
Ontario M5S3G3, Canada
Weimin Ju
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing 210023, China
Xiangjun Tian
The Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing 100029, China
Shuzhuang Feng
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing 210023, China
Guicai Li
National Satellite Meteorological Center, China Meteorological
Administration, Beijing 100101, China
Zhuoqi Chen
School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai 519000, China
Shupeng Zhang
School of Atmospheric Sciences, Sun Yat-Sen University, Zhuhai 519000, China
Xuehe Lu
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing 210023, China
Jane Liu
Department of Geography and Planning, University of Toronto, Toronto,
Ontario M5S3G3, Canada
School of Atmospheric Sciences, Nanjing University, Nanjing 210023,
China
Haikun Wang
School of Atmospheric Sciences, Nanjing University, Nanjing 210023,
China
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing 210023, China
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing 210023, China
Mousong Wu
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing 210023, China
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- An 11-year record of XCO<sub>2</sub> estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm T. Taylor et al. 10.5194/essd-14-325-2022
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- Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO 2 Retrievals H. Wang et al. 10.34133/2022/9816536
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- 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) X. Kou et al. 10.5194/acp-23-6719-2023
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- The reduced net carbon uptake over Northern Hemisphere land causes the close-to-normal CO 2 growth rate in 2021 La Niña J. Liu et al. 10.1126/sciadv.adl2201
- Anthropogenic emissions estimated using surface observations and their impacts on PM2.5 source apportionment over the Yangtze River Delta, China S. Feng et al. 10.1016/j.scitotenv.2022.154522
- China’s Fossil Fuel CO2 Emissions Estimated Using Surface Observations of Coemitted NO2 S. Feng et al. 10.1021/acs.est.3c07756
- Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. 10.3390/rs16183394
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- Long-term (2000–2020) global 0.05° continuous atmospheric carbon dioxide mapping combining OCO-2 observations and model simulations X. Guan et al. 10.1016/j.scitotenv.2024.177051
- The status of carbon neutrality of the world's top 5 CO2 emitters as seen by carbon satellites F. Jiang et al. 10.1016/j.fmre.2022.02.001
- A 10-year global monthly averaged terrestrial net ecosystem exchange dataset inferred from the ACOS GOSAT v9 XCO2 retrievals (GCAS2021) F. Jiang et al. 10.5194/essd-14-3013-2022
- Do State‐Of‐The‐Art Atmospheric CO2 Inverse Models Capture Drought Impacts on the European Land Carbon Uptake? W. He et al. 10.1029/2022MS003150
- Effect of assimilating CO2 observations in the Korean Peninsula on the inverse modeling to estimate surface CO2 flux over Asia M. Cho et al. 10.1371/journal.pone.0263925
- A New Method for Top-Down Inversion Estimation of Carbon Dioxide Flux Based on Deep Learning H. Wang et al. 10.3390/rs16193694
- National CO2budgets (2015–2020) inferred from atmospheric CO2observations in support of the global stocktake B. Byrne et al. 10.5194/essd-15-963-2023
- A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals L. Zhang et al. 10.1029/2023GL102815
- CO2 Flux Inversion With a Regional Joint Data Assimilation System Based on CMAQ, EnKS, and Surface Observations Z. Peng et al. 10.1029/2022JD037154
- A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application S. Feng et al. 10.5194/gmd-16-5949-2023
- Dichlorodifluoromethane-carbon dioxide: A dielectric mixture as a sustainable alternative to SF6 in high voltage applications S. Khan et al. 10.3389/fmats.2023.1129739
- Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals W. He et al. 10.1029/2022JD037773
- Spatiotemporal variability of near-surface CO2 and its affecting factors over Mongolia T. Te et al. 10.1016/j.envres.2023.116796
Latest update: 20 Nov 2024
Short summary
We present a 6-year inversion from 2010 to 2015 for the global and regional carbon fluxes using only the GOSAT XCO2 retrievals. We find that the XCO2 retrievals could significantly improve the modeling of atmospheric CO2 concentrations and that the inferred interannual variations in the terrestrial carbon fluxes in most land regions have a better relationship with the changes in severe drought area or leaf area index, or are more consistent with the previous estimates about drought impact.
We present a 6-year inversion from 2010 to 2015 for the global and regional carbon fluxes using...
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