Articles | Volume 16, issue 6
https://doi.org/10.5194/essd-16-2857-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-2857-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
19 Jun 2024
Data description article |
| 19 Jun 2024
| 19 Jun 2024
A global surface CO2 flux dataset (2015–2022) inferred from OCO-2 retrievals using the GONGGA inversion system
Zhe Jin
State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Xiangjun Tian
CORRESPONDING AUTHOR
State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 101408, China
State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
Hongqin Zhang
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Min Zhao
State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
Tao Wang
State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
Jinzhi Ding
State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
Shilong Piao
State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
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25 citations as recorded by crossref.
- Low latency global carbon budget reveals land sink decline during 2023 to 2024 El Niño P. Ke et al. https://doi.org/10.1016/j.isci.2026.117053
- Improved estimates of net ecosystem exchanges in mega-countries using GOSAT and OCO-2 observations L. Zhang et al. https://doi.org/10.1038/s43247-024-01910-w
- Satellite-Based Emission Inversion for Air Pollutants and Greenhouse Gases: A Review Z. Jiang et al. https://doi.org/10.1007/s13351-025-4914-7
- GHGPSE-Net: a method towards spaceborne automated extraction of greenhouse-gas point sources using point-object-detection deep neural network Y. Pang et al. https://doi.org/10.5194/gmd-19-1683-2026
- Global Atmospheric CO2 Simulations with the IAP-AACM Model Using an Improved Vertical Diffusion Scheme and Evaluation with Multi-Source Data Z. Zou et al. https://doi.org/10.3390/atmos17080787
- Low latency global carbon budget indicates reduced land carbon sink in the year 2024 P. Ciais et al. https://doi.org/10.1093/nsr/nwaf594
- Quantitative Assessment of Satellite-Observed Atmospheric CO2 Concentrations over Oceanic Regions X. He et al. https://doi.org/10.3390/rs17244026
- CO2 flux emissions at two urban sites in Beijing and responses to human activity H. Liu et al. https://doi.org/10.1016/j.pce.2024.103791
- Towards verifying and improving estimations of China's CO2 and CH4 budgets using atmospheric inversions Y. Wang et al. https://doi.org/10.1093/nsr/nwaf090
- To what extent does the CO2 diurnal cycle impact flux estimates derived from global and regional inversions? S. Munassar et al. https://doi.org/10.5194/acp-25-639-2025
- COVID-19 induced reduction of fossil-fuel emissions in 2020 altered the seasonal cycle of atmospheric CO2 at high latitudes Y. Gui et al. https://doi.org/10.1016/j.agrformet.2026.111071
- Predominantly positive XCO2 anomalies in the Caatinga biome highlight carbon vulnerability L. Silva et al. https://doi.org/10.1038/s41598-026-37629-1
- The decline in tropical land carbon sink drove high atmospheric CO2 growth rate in 2023 Y. Gui et al. https://doi.org/10.1093/nsr/nwae365
- Evaluation of Air–Sea Flux Products Based on Observations in the Northern South China Sea H. Chen et al. https://doi.org/10.3390/jmse13122358
- Fossil fuel emissions dominate Northern Hemisphere CO2 seasonal cycle trends under mitigation scenarios Z. Jin et al. https://doi.org/10.1038/s41467-026-75003-x
- Observation of greenhouse gas vertical profiles in the boundary layer of the Mount Qomolangma region using a multirotor UAV Y. Zhou et al. https://doi.org/10.5194/amt-18-1609-2025
- A Top-Down Method for Estimating Regional Fossil Fuel Carbon Emissions Based on Satellite XCO2 Retrievals L. Zhang et al. https://doi.org/10.3390/rs17030447
- Global 20-year time series of XCO2 concentrations derived from satellite observations and interpolations to analyze XCO2 anomalies caused by wildfires W. Wefers et al. https://doi.org/10.1016/j.atmosres.2025.108408
- Satellites in addressing climate change: Trends, challenges, and future directions G. Zhou et al. https://doi.org/10.1007/s42524-026-5183-6
- Усовершенствованный инверсионный метод восстановления потоков CO2 над территориями со сложным рельефом на основе атмосферных измерений . Мухартова et al. https://doi.org/10.46698/v6610-9093-2069-x
- ZIF-8 based materials for CO2 capture: synthesis, functionalization, and adsorption performance A. Farrukh et al. https://doi.org/10.1016/j.ccr.2026.218015
- A novel approach for retrieving water use efficiency and gross primary production from the “analytical triangle” technique: extending the Ts/VI feature space properties G. Petropoulos et al. https://doi.org/10.1016/j.envsoft.2026.107086
- Analysis of Regional Surface CO2 Fluxes Using the MEGA Satellite Data Assimilation System L. Hu et al. https://doi.org/10.3390/rs17223720
- Fiscal policy and environmental degradation: Heterogeneous effects of carbon taxes and emissions trading systems D. Van et al. https://doi.org/10.1016/j.joitmc.2026.100796
- Estimation of Carbon Dioxide and Methane Emissions and Absorption by Land and Ocean Surfaces in the 21st Century A. Olchev https://doi.org/10.1134/S0001433825701166
Saved (final revised paper)
Latest update: 22 Aug 2026
Short summary
An accurate estimate of spatial distribution and temporal evolution of CO2 fluxes is a critical foundation for providing information regarding global carbon cycle and climate mitigation. Here, we present a global carbon flux dataset for 2015–2022, derived by assimilating satellite CO2 observations into the GONGGA inversion system. This dataset will help improve the broader understanding of global carbon cycle dynamics and their response to climate change.
An accurate estimate of spatial distribution and temporal evolution of CO2 fluxes is a critical...
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