15 citations as recorded by crossref.

1. Characteristics of interannual variability in space-based XCO2 global observations Y. Guan et al. https://doi.org/10.5194/acp-23-5355-2023
2. Functional analysis of variance (ANOVA) for carbon flux estimates from remote sensing data J. Hobbs et al. https://doi.org/10.5194/gmd-17-1133-2024
3. Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. https://doi.org/10.3390/rs16183394
4. Impact of the horizontal resolution of GEOS-Chem on land‒ocean and tropic‒extratropic partitioning and seasonal cycle in CO2 inversion Z. Liu et al. https://doi.org/10.1088/1748-9326/ad7870
5. Improving the joint estimation of CO2 and surface carbon fluxes using a constrained ensemble Kalman filter in COLA (v1.0) Z. Liu et al. https://doi.org/10.5194/gmd-15-5511-2022
6. Regional CO2 Inversion Through Ensemble‐Based Simultaneous State and Parameter Estimation: TRACE Framework and Controlled Experiments H. Chen et al. https://doi.org/10.1029/2022MS003208
7. Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al. https://doi.org/10.5194/amt-16-3173-2023
8. National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake B. Byrne et al. https://doi.org/10.5194/essd-15-963-2023
9. A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar Z. Pei et al. https://doi.org/10.1016/j.atmosenv.2023.119933
10. State-wide California 2020 carbon dioxide budget estimated with OCO-2 and OCO-3 satellite data M. Johnson et al. https://doi.org/10.5194/acp-25-8475-2025
11. Gross primary production variations dominate the response of Indian terrestrial carbon fluxes to global climatic phenomena E. Singha Roy et al. https://doi.org/10.1038/s43247-025-03013-6
12. A global surface CO2 flux dataset (2015–2022) inferred from OCO-2 retrievals using the GONGGA inversion system Z. Jin et al. https://doi.org/10.5194/essd-16-2857-2024
13. 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. https://doi.org/10.1016/j.rse.2024.114326
14. Airborne Lidar Measurements of XCO2 in Synoptically Active Environment and Associated Comparisons With Numerical Simulations S. Walley et al. https://doi.org/10.1029/2021JD035664
15. Characterizing Average Seasonal, Synoptic, and Finer Variability in Orbiting Carbon Observatory‐2 XCO2 Across North America and Adjacent Ocean Basins K. Mitchell et al. https://doi.org/10.1029/2022JD036696