Articles | Volume 22, issue 16
https://doi.org/10.5194/acp-22-10769-2022
© 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/acp-22-10769-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Aug 2022
Research article |
| 25 Aug 2022
| 25 Aug 2022
Global and regional carbon budget for 2015–2020 inferred from OCO-2 based on an ensemble Kalman filter coupled with GEOS-Chem
Yawen Kong
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Institute of Environment and Ecology, Tsinghua Shenzhen International
Graduate School, Tsinghua University, Shenzhen 518055, China
State Environmental Protection Key Laboratory of Sources and Control
of Air Pollution Complex, Beijing 100084, China
Qiang Zhang
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Kebin He
State Environmental Protection Key Laboratory of Sources and Control
of Air Pollution Complex, Beijing 100084, China
State Key Joint Laboratory of Environment Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing 100084, China
Viewed
Total article views: 5,557 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Mar 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 4,006 | 1,445 | 106 | 5,557 | 385 | 134 | 159 |
- HTML: 4,006
- PDF: 1,445
- XML: 106
- Total: 5,557
- Supplement: 385
- BibTeX: 134
- EndNote: 159
Total article views: 4,073 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Aug 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,018 | 971 | 84 | 4,073 | 232 | 119 | 140 |
- HTML: 3,018
- PDF: 971
- XML: 84
- Total: 4,073
- Supplement: 232
- BibTeX: 119
- EndNote: 140
Total article views: 1,484 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Mar 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 988 | 474 | 22 | 1,484 | 153 | 15 | 19 |
- HTML: 988
- PDF: 474
- XML: 22
- Total: 1,484
- Supplement: 153
- BibTeX: 15
- EndNote: 19
Viewed (geographical distribution)
Total article views: 5,557 (including HTML, PDF, and XML)
Thereof 5,557 with geography defined
and 0 with unknown origin.
Total article views: 4,073 (including HTML, PDF, and XML)
Thereof 4,073 with geography defined
and 0 with unknown origin.
Total article views: 1,484 (including HTML, PDF, and XML)
Thereof 1,484 with geography defined
and 0 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
24 citations as recorded by crossref.
- Improved estimates of net ecosystem exchanges in mega-countries using GOSAT and OCO-2 observations L. Zhang et al.
- Characterization of the Regional Carbon Balance Based on Satellite Observations of Carbon Dioxide I. Konovalov et al.
- Global Evaluation and Intercomparison of XCO2 Retrievals from GOSAT, OCO-2, and TANSAT with TCCON J. Fang et al.
- Top-down Constraint on Regional Fossil Fuel CO2 Emissions in China using GOSAT and OCO-2 Satellite XCO2 Retrievals: A Case of the COVID-19 Lockdown W. Chang et al.
- Global Carbon Budget 2023 P. Friedlingstein et al.
- Tracking daily NOx emissions from an urban agglomeration based on TROPOMI NO2 and a local ensemble transform Kalman filter Y. Kong et al.
- Analysis of Regional Surface CO2 Fluxes Using the MEGA Satellite Data Assimilation System L. Hu et al.
- Satellite-Based Emission Inversion for Air Pollutants and Greenhouse Gases: A Review Z. Jiang et al.
- Significant co-benefits of air pollutant and CO2 emission reduction from biomass energy utilization in power plants in China Q. Cai et al.
- Global greenhouse gas reconciliation 2022 Z. Deng et al.
- 温室气体多平台遥感探测研究（特邀） 刘. Liu Dong et al.
- Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al.
- Impacts of different biomass burning emission inventories: Simulations of atmospheric CO2 concentrations based on GEOS-Chem M. Su et al.
- CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model D. Pendergrass et al.
- Effects of Emission Variability on Atmospheric CO2 Concentrations in Mainland China W. Lu et al.
- Integrating flux footprint, random forest, and SHAP for interpretable hourly carbon flux upscaling: Development and application in the Qilian mountains watershed J. An et al.
- To what extent does the CO2 diurnal cycle impact flux estimates derived from global and regional inversions? S. Munassar et al.
- A New Method for Top-Down Inversion Estimation of Carbon Dioxide Flux Based on Deep Learning H. Wang et al.
- A new global carbon flux estimation methodology by assimilation of both in situ and satellite CO2 observations W. Su et al.
- Global Carbon Budget 2022 P. Friedlingstein et al.
- Review and perspective of remote sensing research on global greenhouse gas monitoring and stocktaking L. Liu et al.
- An inversion model based on GEOS-Chem for estimating global and China's terrestrial carbon fluxes in 2019 C. Wu et al.
- The Orbiting Carbon Observatory-2 (OCO-2) and in situ CO2 data suggest a larger seasonal amplitude of the terrestrial carbon cycle compared to many dynamic global vegetation models R. Lei et al.
- Impact of anthropogenic emission inventories on atmospheric CO2 concentrations simulated by GEOS-Chem W. Lu et al.
24 citations as recorded by crossref.
- Improved estimates of net ecosystem exchanges in mega-countries using GOSAT and OCO-2 observations L. Zhang et al.
- Characterization of the Regional Carbon Balance Based on Satellite Observations of Carbon Dioxide I. Konovalov et al.
- Global Evaluation and Intercomparison of XCO2 Retrievals from GOSAT, OCO-2, and TANSAT with TCCON J. Fang et al.
- Top-down Constraint on Regional Fossil Fuel CO2 Emissions in China using GOSAT and OCO-2 Satellite XCO2 Retrievals: A Case of the COVID-19 Lockdown W. Chang et al.
- Global Carbon Budget 2023 P. Friedlingstein et al.
- Tracking daily NOx emissions from an urban agglomeration based on TROPOMI NO2 and a local ensemble transform Kalman filter Y. Kong et al.
- Analysis of Regional Surface CO2 Fluxes Using the MEGA Satellite Data Assimilation System L. Hu et al.
- Satellite-Based Emission Inversion for Air Pollutants and Greenhouse Gases: A Review Z. Jiang et al.
- Significant co-benefits of air pollutant and CO2 emission reduction from biomass energy utilization in power plants in China Q. Cai et al.
- Global greenhouse gas reconciliation 2022 Z. Deng et al.
- 温室气体多平台遥感探测研究（特邀） 刘. Liu Dong et al.
- Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al.
- Impacts of different biomass burning emission inventories: Simulations of atmospheric CO2 concentrations based on GEOS-Chem M. Su et al.
- CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model D. Pendergrass et al.
- Effects of Emission Variability on Atmospheric CO2 Concentrations in Mainland China W. Lu et al.
- Integrating flux footprint, random forest, and SHAP for interpretable hourly carbon flux upscaling: Development and application in the Qilian mountains watershed J. An et al.
- To what extent does the CO2 diurnal cycle impact flux estimates derived from global and regional inversions? S. Munassar et al.
- A New Method for Top-Down Inversion Estimation of Carbon Dioxide Flux Based on Deep Learning H. Wang et al.
- A new global carbon flux estimation methodology by assimilation of both in situ and satellite CO2 observations W. Su et al.
- Global Carbon Budget 2022 P. Friedlingstein et al.
- Review and perspective of remote sensing research on global greenhouse gas monitoring and stocktaking L. Liu et al.
- An inversion model based on GEOS-Chem for estimating global and China's terrestrial carbon fluxes in 2019 C. Wu et al.
- The Orbiting Carbon Observatory-2 (OCO-2) and in situ CO2 data suggest a larger seasonal amplitude of the terrestrial carbon cycle compared to many dynamic global vegetation models R. Lei et al.
- Impact of anthropogenic emission inventories on atmospheric CO2 concentrations simulated by GEOS-Chem W. Lu et al.
Saved (final revised paper)
Latest update: 04 May 2026
Short summary
We developed a Bayesian atmospheric inversion system based on the 4D local ensemble transform Kalman filter (4D-LETKF) algorithm coupled with GEOS-Chem from the latest Orbiting Carbon Observatory-2 (OCO-2) V10r XCO2 retrievals. This is the first adaptation of 4D-LETKF to an OCO-2-based global carbon inversion system. We inferred global gridded carbon fluxes and investigated their magnitudes, variations, and partitioning schemes to understand the global and regional carbon budgets for 2015–2020.
We developed a Bayesian atmospheric inversion system based on the 4D local ensemble transform...
Altmetrics
Final-revised paper
Preprint