49 citations as recorded by crossref.

1. Analysis of Regional Surface CO2 Fluxes Using the MEGA Satellite Data Assimilation System L. Hu et al.
2. Enhanced India‐Africa Carbon Uptake and Asia‐Pacific Carbon Release Associated With the 2019 Extreme Positive Indian Ocean Dipole J. Wang et al.
3. Satellite-detected large CO2 release in southwestern North America during the 2020–2021 drought and associated wildfires H. Chen et al.
4. A new global carbon flux estimation methodology by assimilation of both in situ and satellite CO2 observations W. Su et al.
5. Extreme fire emissions dominate the Amazonian land sink decline in 2024 G. Dong et al.
6. Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO 2 Retrievals H. Wang et al.
7. Estimating Aboveground Carbon Dynamic of China Using Optical and Microwave Remote-Sensing Datasets from 2013 to 2019 Z. Chang et al.
8. 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.
9. Global Carbon Budget 2024 P. Friedlingstein et al.
10. Anthropogenic emissions estimated using surface observations and their impacts on PM2.5 source apportionment over the Yangtze River Delta, China S. Feng et al.
11. Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al.
12. Long-term (2000–2020) global 0.05° continuous atmospheric carbon dioxide mapping combining OCO-2 observations and model simulations X. Guan et al.
13. Dramatic increase in ecosystem respiration causes record-breaking atmospheric CO2 growth rate in 2024 G. Dong et al.
14. A 10-year global monthly averaged terrestrial net ecosystem exchange dataset inferred from the ACOS GOSAT v9 XCO2 retrievals (GCAS2021) F. Jiang et al.
15. The influence of scattering correction effect based on optical path distribution on CO2 retrieval Y. Jiang et al.
16. Do State‐Of‐The‐Art Atmospheric CO2 Inverse Models Capture Drought Impacts on the European Land Carbon Uptake? W. He et al.
17. Random Forest-Based Retrieval of XCO2 Concentration from Satellite-Borne Shortwave Infrared Hyperspectral W. Zhang et al.
18. A New Method for Top-Down Inversion Estimation of Carbon Dioxide Flux Based on Deep Learning H. Wang et al.
19. National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake B. Byrne et al.
20. A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals L. Zhang et al.
21. Canadian net forest CO2 uptake enhanced by heat drought via reduced respiration G. Dong et al.
22. A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application S. Feng et al.
23. A Top-Down Method for Estimating Regional Fossil Fuel Carbon Emissions Based on Satellite XCO2 Retrievals L. Zhang et al.
24. Five years of GOSAT-2 retrievals with RemoTeC: XCO2 and XCH4 data products with quality filtering by machine learning A. Barr et al.
25. Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals W. He et al.
26. Spatiotemporal variability of near-surface CO2 and its affecting factors over Mongolia T. Te et al.
27. Quantitative Assessment of Satellite-Observed Atmospheric CO2 Concentrations over Oceanic Regions X. He et al.
28. Global Carbon Budget 2023 P. Friedlingstein et al.
29. Development of a regional carbon assimilation system and its application for estimating fossil fuel carbon emissions in the Yangtze River Delta, China Z. Zhang et al.
30. Global and regional carbon budget for 2015–2020 inferred from OCO-2 based on an ensemble Kalman filter coupled with GEOS-Chem Y. Kong et al.
31. Faster topsoil organic matter transformation accompanies long-term carbon preservation in virgin Chernozems A. Yurova et al.
32. Impact of net-zero emissions on atmospheric CO2 concentration in China: Ideal simulations based on the GEOS-Chem model J. Tan et al.
33. Review and perspective of remote sensing research on global greenhouse gas monitoring and stocktaking L. Liu et al.
34. An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm T. Taylor et al.
35. Characteristics of Climate Change in Poyang Lake Basin and Its Impact on Net Primary Productivity Y. Yang et al.
36. 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.
37. Improved estimates of net ecosystem exchanges in mega-countries using GOSAT and OCO-2 observations L. Zhang et al.
38. A review of datasets and methods for deriving spatiotemporal distributions of atmospheric CO2 C. He et al.
39. The role of OCO-3 XCO2 retrievals in estimating global terrestrial net ecosystem exchanges X. Wang et al.
40. Study on CO 2 concentration assimilation by integrating a multi-source satellite fusion dataset based on the WRF-Chem model W. Liu et al.
41. China’s Fossil Fuel CO2 Emissions Estimated Using Surface Observations of Coemitted NO2 S. Feng et al.
42. 净零排放对中国大气二氧化碳浓度的影响——基于GEOS-Chem模型的理想模拟 景. 谭 et al.
43. Rapid decline of carbon monoxide emissions in the Fenwei Plain in China during the three-year Action Plan on defending the blue sky M. Jia et al.
44. To what extent does the CO2 diurnal cycle impact flux estimates derived from global and regional inversions? S. Munassar et al.
45. The status of carbon neutrality of the world's top 5 CO2 emitters as seen by carbon satellites F. Jiang et al.
46. Effect of assimilating CO2 observations in the Korean Peninsula on the inverse modeling to estimate surface CO2 flux over Asia M. Cho et al.
47. CO2 Flux Inversion With a Regional Joint Data Assimilation System Based on CMAQ, EnKS, and Surface Observations Z. Peng et al.
48. Dichlorodifluoromethane-carbon dioxide: A dielectric mixture as a sustainable alternative to SF6 in high voltage applications S. Khan et al.
49. Warm and wet spring compensated for the reduction in carbon sinks due to an extreme summer heatwave-drought event in 2022 in southern China Y. Zhang et al.