48 citations as recorded by crossref.

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2. Computation and analysis of atmospheric carbon dioxide annual mean growth rates from satellite observations during 2003–2016 M. Buchwitz et al. https://doi.org/10.5194/acp-18-17355-2018
3. The amplitude of the CO2 seasonal cycle in the atmosphere of the Ural region retrieved from ground-based and satellite near-IR measurements N. Rokotyan et al. https://doi.org/10.1134/S102485601501011X
4. Estimating Global Anthropogenic CO2 Gridded Emissions Using a Data-Driven Stacked Random Forest Regression Model Y. Zhang et al. https://doi.org/10.3390/rs14163899
5. Multiplexed direct-frequency-comb Vernier spectroscopy of carbon dioxide 2ν1 + ν3 ro-vibrational combination band M. Siciliani de Cumis et al. https://doi.org/10.1063/1.5008461
6. Contribution of different external forcings to the terrestrial carbon cycle variability in extratropical Eurasia in the last millennium K. Savina & A. Eliseev https://doi.org/10.1088/1755-1315/606/1/012052
7. Analysis of CO2 Concentration and Fluxes of Lisbon Portugal Using Regional CO2 Assimilation Method Based on WRF-Chem J. Jin et al. https://doi.org/10.3390/atmos16070847
8. Emissions of methane in Europe inferred by total column measurements D. Wunch et al. https://doi.org/10.5194/acp-19-3963-2019
9. A Comparative Analysis of Anthropogenic CO2 Emissions at City Level Using OCO‐2 Observations: A Global Perspective P. Fu et al. https://doi.org/10.1029/2019EF001282
10. Retrieving the atmospheric concentrations of carbon dioxide and methane from the European Copernicus CO2M satellite mission using artificial neural networks M. Reuter et al. https://doi.org/10.5194/amt-18-241-2025
11. Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics Z. Zeng et al. https://doi.org/10.1080/17538947.2016.1156777
12. Spatially resolved evaluation of Earth system models with satellite column-averaged CO2 B. Gier et al. https://doi.org/10.5194/bg-17-6115-2020
13. A Data-Driven Assessment of Biosphere-Atmosphere Interaction Impact on Seasonal Cycle Patterns of XCO2 Using GOSAT and MODIS Observations Z. He et al. https://doi.org/10.3390/rs9030251
14. Atmospheric observations inform CO2 flux responses to enviroclimatic drivers Y. Fang & A. Michalak https://doi.org/10.1002/2014GB005034
15. Utilizing Remote Sensing to Understand Climate–Land Interactions C. Gibbes https://doi.org/10.1080/19338341.2023.2261470
16. Contrasting effects of CO2 fertilization, land-use change and warming on seasonal amplitude of Northern Hemisphere CO2 exchange A. Bastos et al. https://doi.org/10.5194/acp-19-12361-2019
17. Regional CO emission estimated from ground-based remote sensing at Hefei site, China C. Shan et al. https://doi.org/10.1016/j.atmosres.2019.02.005
18. Non-uniform seasonal warming regulates vegetation greening and atmospheric CO 2 amplification over northern lands Z. Li et al. https://doi.org/10.1088/1748-9326/aae9ad
19. XCO2 retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm S. Noël et al. https://doi.org/10.5194/amt-14-3837-2021
20. Role of CO2, climate and land use in regulating the seasonal amplitude increase of carbon fluxes in terrestrial ecosystems: a multimodel analysis F. Zhao et al. https://doi.org/10.5194/bg-13-5121-2016
21. The Orbiting Carbon Observatory-2: first 18 months of science data products A. Eldering et al. https://doi.org/10.5194/amt-10-549-2017
22. Investigating the performance of a greenhouse gas observatory in Hefei, China W. Wang et al. https://doi.org/10.5194/amt-10-2627-2017
23. Changes in the Response of the Northern Hemisphere Carbon Uptake to Temperature Over the Last Three Decades Y. Yin et al. https://doi.org/10.1029/2018GL077316
24. Seasonal variation of soil carbon and nitrogen under five typical Pinus massoniana forests R. Zhang & G. Ding https://doi.org/10.1080/02757540.2017.1332188
25. Decadal trends in the seasonal-cycle amplitude of terrestrial CO₂ exchange resulting from the ensemble of terrestrial biosphere models A. Ito et al. https://doi.org/10.3402/tellusb.v68.28968
26. How close are we to the temperature tipping point of the terrestrial biosphere? K. Duffy et al. https://doi.org/10.1126/sciadv.aay1052
27. Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al. https://doi.org/10.1016/j.rse.2016.12.027
28. Bio-solar green roofs increase solar energy output: The sunny side of integrating sustainable technologies R. Fleck et al. https://doi.org/10.1016/j.buildenv.2022.109703
29. High-Resolution Geos-Chem Model for Indian Monsoon Region: Seasonal Cycle and Budget of Tropospheric Co2 S. Allahudheen et al. https://doi.org/10.2139/ssrn.4161842
30. Retrieval of vertical profiles and tropospheric CO2 columns based on high-resolution FTIR over Hefei, China C. Shan et al. https://doi.org/10.1364/OE.411383
31. Sensitivity of dryland plant water availability to changes in carbon and water fluxes Y. Pei et al. https://doi.org/10.1016/j.jhydrol.2025.133966
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33. A Review of Satellite-Based CO2 Data Reconstruction Studies: Methodologies, Challenges, and Advances K. Hu et al. https://doi.org/10.3390/rs16203818
34. Increasing summer net CO2 uptake in high northern ecosystems inferred from atmospheric inversions and comparisons to remote-sensing NDVI L. Welp et al. https://doi.org/10.5194/acp-16-9047-2016
35. Satellite-inferred European carbon sink larger than expected M. Reuter et al. https://doi.org/10.5194/acp-14-13739-2014
36. Changes in interannual climate sensitivities of terrestrial carbon fluxes during the 21st century predicted by CMIP5 Earth System Models Y. Liu et al. https://doi.org/10.1002/2015JG003124
37. Optimal planning of the joint placement of photovoltaic panels and green roofs under climate change uncertainty M. Ramshani et al. https://doi.org/10.1016/j.omega.2018.10.016
38. Observations of atmospheric CO2 and CO based on in-situ and ground-based remote sensing measurements at Hefei site, China C. Shan et al. https://doi.org/10.1016/j.scitotenv.2022.158188
39. Consistent satellite XCO2 retrievals from SCIAMACHY and GOSAT using the BESD algorithm J. Heymann et al. https://doi.org/10.5194/amt-8-2961-2015
40. Can a regional-scale reduction of atmospheric CO2 during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO2 retrievals M. Buchwitz et al. https://doi.org/10.5194/amt-14-2141-2021
41. Climate drivers of the terrestrial carbon cycle variability in Europe G. Messori et al. https://doi.org/10.1088/1748-9326/ab1ac0
42. Towards Robust Calculation of Interannual CO2 Growth Signal from TCCON (Total Carbon Column Observing Network) L. Labzovskii et al. https://doi.org/10.3390/rs13193868
43. High-resolution GEOS-Chem model for Indian monsoon region: Seasonal cycle and budget of tropospheric CO2 S. Allahudheen et al. https://doi.org/10.1016/j.atmosenv.2023.119913
44. Climate change and ecosystem services R. Scholes https://doi.org/10.1002/wcc.404
45. Estimating forest carbon fluxes using four different data-driven techniques based on long-term eddy covariance measurements: Model comparison and evaluation X. Dou & Y. Yang https://doi.org/10.1016/j.scitotenv.2018.01.202
46. Ensemble-based satellite-derived carbon dioxide and methane column-averaged dry-air mole fraction data sets (2003–2018) for carbon and climate applications M. Reuter et al. https://doi.org/10.5194/amt-13-789-2020
47. A segmentation algorithm for characterizing rise and fall segments in seasonal cycles: an application to XCO2 to estimate benchmarks and assess model bias L. Calle et al. https://doi.org/10.5194/amt-12-2611-2019
48. Using airborne HIAPER Pole-to-Pole Observations (HIPPO) to evaluate model and remote sensing estimates of atmospheric carbon dioxide C. Frankenberg et al. https://doi.org/10.5194/acp-16-7867-2016