96 citations as recorded by crossref.

1. Mitigating climate change by abating coal mine methane: A critical review of status and opportunities C. Karacan et al. 10.1016/j.coal.2024.104623
2. Harmonising the land-use flux estimates of global models and national inventories for 2000–2020 G. Grassi et al. 10.5194/essd-15-1093-2023
3. Improved estimates of net ecosystem exchanges in mega-countries using GOSAT and OCO-2 observations L. Zhang et al. 10.1038/s43247-024-01910-w
4. East Asian methane emissions inferred from high-resolution inversions of GOSAT and TROPOMI observations: a comparative and evaluative analysis R. Liang et al. 10.5194/acp-23-8039-2023
5. The methane imperative D. Shindell et al. 10.3389/fsci.2024.1349770
6. Partitioning anthropogenic and natural methane emissions in Finland during 2000–2021 by combining bottom-up and top-down estimates M. Tenkanen et al. 10.5194/acp-25-2181-2025
7. National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake B. Byrne et al. 10.5194/essd-15-963-2023
8. Global patterns of daily CO2 emissions reductions in the first year of COVID-19 Z. Liu et al. 10.1038/s41561-022-00965-8
9. Greenhouse gas emissions and their trends over the last 3 decades across Africa M. Mostefaoui et al. 10.5194/essd-16-245-2024
10. Biodiesel supply chain network design: a comprehensive review with qualitative and quantitative insights S. Rahmani et al. 10.1007/s11356-024-33392-w
11. Integrating terrestrial and aquatic ecosystems to constrain estimates of land-atmosphere carbon exchange J. Casas-Ruiz et al. 10.1038/s41467-023-37232-2
12. Increased Terrestrial Carbon Export and CO2 Evasion From Global Inland Waters Since the Preindustrial Era H. Tian et al. 10.1029/2023GB007776
13. A carbon-monitoring strategy through near-real–time data and space technology Z. Liu et al. 10.1016/j.xinn.2022.100346
14. Satellite quantification of methane emissions and oil–gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action Z. Chen et al. 10.5194/acp-23-5945-2023
15. Forest carbon storage and sink estimates under different management scenarios in China from 2020 to 2100 J. Qin et al. 10.1016/j.scitotenv.2024.172076
16. Harmonizing and Comparing Divergent Estimates of China’s Forest Carbon Sinks Q. Han et al. 10.1016/j.ecolind.2025.113250
17. A Greenhouse Gas Budget for Mexico During 2000–2019 G. Murray‐Tortarolo et al. 10.1029/2023JG007667
18. European CH4 inversions with ICON-ART coupled to the CarbonTracker Data Assimilation Shell M. Steiner et al. 10.5194/acp-24-2759-2024
19. Indian Land Carbon Sink Estimated from Surface and GOSAT Observations L. Nayagam et al. 10.3390/rs17030450
20. Toward High‐Resolution Global Atmospheric Inverse Modeling Using Graphics Accelerators F. Chevallier et al. 10.1029/2022GL102135
21. Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion J. McNorton et al. 10.5194/acp-22-5961-2022
22. 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. 10.1088/1748-9326/ad7870
23. Toward a long-term atmospheric CO2 inversion for elucidating natural carbon fluxes: technical notes of NISMON-CO2 v2021.1 Y. Niwa et al. 10.1186/s40645-022-00502-6
24. Verifying national inventory-based combustion emissions of CO2 across the UK and mainland Europe using satellite observations of atmospheric CO and CO2 T. Scarpelli et al. 10.5194/acp-24-10773-2024
25. Monthly methane emissions in Chinese mainland provinces from 2013–2022 D. Cui et al. 10.1038/s41597-025-05107-4
26. High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system P. Bergamaschi et al. 10.5194/acp-22-13243-2022
27. An Inverse Modeling Approach for Retrieving High-Resolution Surface Fluxes of Greenhouse Gases from Measurements of Their Concentrations in the Atmospheric Boundary Layer I. Mukhartova et al. 10.3390/rs16132502
28. China's methane emissions derived from the inversion of GOSAT observations with a CMAQ and EnKS-based regional data assimilation system X. Kou et al. 10.1016/j.apr.2024.102333
29. Definitions and methods to estimate regional land carbon fluxes for the second phase of the REgional Carbon Cycle Assessment and Processes Project (RECCAP-2) P. Ciais et al. 10.5194/gmd-15-1289-2022
30. Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane D. Jacob et al. 10.5194/acp-22-9617-2022
31. 10-year progress on forest carbon research in Canada C. Smyth et al. 10.1139/er-2024-0001
32. Editorial: Science, data and society D. Carlson & H. Pfeiffenberger 10.5194/essd-15-617-2023
33. High-resolution US methane emissions inferred from an inversion of 2019 TROPOMI satellite data: contributions from individual states, urban areas, and landfills H. Nesser et al. 10.5194/acp-24-5069-2024
34. STRATOSPHERIC AEROSOL SOURCE INVERSION: NOISE, VARIABILITY, AND UNCERTAINTY QUANTIFICATION J. Hart et al. 10.1615/JMachLearnModelComput.2024056144
35. CarbonMonitor-Power near-real-time monitoring of global power generation on hourly to daily scales B. Zhu et al. 10.1038/s41597-023-02094-2
36. Biome-scale temperature sensitivity of ecosystem respiration revealed by atmospheric CO2 observations W. Sun et al. 10.1038/s41559-023-02093-x
37. 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. 10.5194/acp-23-6719-2023
38. Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions M. Tenkanen et al. 10.3390/rs16010124
39. A top-down estimation of subnational CO2 budget using a global high-resolution inverse model with data from regional surface networks L. Nayagam et al. 10.1088/1748-9326/ad0f74
40. Global Methane Budget 2000–2020 M. Saunois et al. 10.5194/essd-17-1873-2025
41. Decarbonization of the European natural gas grid using hydrogen and methane biologically produced from organic waste: A critical overview D. Bertasini et al. 10.1016/j.renene.2023.02.029
42. Assessment of methane emissions from oil, gas and coal sectors across inventories and atmospheric inversions K. Tibrewal et al. 10.1038/s43247-023-01190-w
43. Urban methane emission monitoring across North America using TROPOMI data: an analytical inversion approach M. Hemati et al. 10.1038/s41598-024-58995-8
44. Satellite derived trends and variability of CO2 concentrations in the Middle East during 2014–2023 R. Fonseca & D. Francis 10.3389/fenvs.2023.1289142
45. Towards verifying and improving estimations of China's CO2 and CH4 budgets using atmospheric inversions Y. Wang et al. 10.1093/nsr/nwaf090
46. Mind the gap: reconciling tropical forest carbon flux estimates from earth observation and national reporting requires transparency V. Heinrich et al. 10.1186/s13021-023-00240-2
47. Analysis of Quantitative Estimates of the Greenhouse Gases Net Flow in the Russian Land Use Sector O. Loktionov et al. 10.18412/1816-0395-2024-11-54-59
48. Unveiling complementarities between mangrove restoration and global sustainable development goals M. Gong et al. 10.1016/j.jclepro.2024.143524
49. Knowledge gaps are making it harder to formulate national climate policies R. Feng et al. 10.1073/pnas.2218563120
50. Assumptions about prior fossil fuel inventories impact our ability to estimate posterior net CO2 fluxes that are needed for verifying national inventories T. Oda et al. 10.1088/1748-9326/ad059b
51. Can straw recycling achieve sustainable agriculture at the smallholder level? A case in a semi-arid region R. Qian et al. 10.1016/j.jclepro.2024.140859
52. High-resolution assessment of coal mining methane emissions by satellite in Shanxi, China S. Peng et al. 10.1016/j.isci.2023.108375
53. Continuous atmospheric in-situ measurements of the CH4/CO ratio at the Mt. Cimone station (Italy, 2165 m a.s.l.) and their possible use for estimating regional CH4 emissions C. Fratticioli et al. 10.1016/j.envres.2023.116343
54. Slowdown in China's methane emission growth M. Zhao et al. 10.1093/nsr/nwae223
55. Indicators of Global Climate Change 2024: annual update of key indicators of the state of the climate system and human influence P. Forster et al. 10.5194/essd-17-2641-2025
56. Changes in land use and management led to a decline in Eastern Europe’s terrestrial carbon sink K. Winkler et al. 10.1038/s43247-023-00893-4
57. A comprehensive and synthetic dataset for global, regional, and national greenhouse gas emissions by sector 1970–2018 with an extension to 2019 J. Minx et al. 10.5194/essd-13-5213-2021
58. ROLE OF EXTERNAL FINANCE AND INNOVATION IN ACHIEVING ECO-EFFICIENCY AND SUSTAINABLE DEVELOPMENT GOALS M. JAMIL & D. RASHEED 10.61506/01.00007
59. Carbon emissions from the 2023 Canadian wildfires B. Byrne et al. 10.1038/s41586-024-07878-z
60. Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations Z. Chen et al. 10.5194/acp-22-10809-2022
61. How good is the data for tracking countries’ agricultural greenhouse gas emissions? Making use of multiple national greenhouse gas inventories K. Dittmer et al. 10.3389/fsufs.2023.1156822
62. Global increase in biomass carbon stock dominated by growth of northern young forests over past decade H. Yang et al. 10.1038/s41561-023-01274-4
63. Individual coal mine methane emissions constrained by eddy covariance measurements: low bias and missing sources K. Qin et al. 10.5194/acp-24-3009-2024
64. Space-based Earth observation in support of the UNFCCC Paris Agreement M. Hegglin et al. 10.3389/fenvs.2022.941490
65. Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al. 10.5194/amt-17-5429-2024
66. Satellite-based global maps are rarely used in forest reference levels submitted to the UNFCCC J. Melo et al. 10.1088/1748-9326/acba31
67. Ongoing CO2 monitoring verify CO2 emissions and sinks in China during 2018–2021 J. Zhong et al. 10.1016/j.scib.2023.08.039
68. Enhancing scientific transparency in national CO2 emissions reports via satellite-based a posteriori estimates M. Watanabe et al. 10.1038/s41598-023-42664-3
69. Increased nitrous oxide emissions from global lakes and reservoirs since the pre-industrial era Y. Li et al. 10.1038/s41467-024-45061-0
70. Going resilient with digital transformation, human capabilities and innovation readiness: empirical evidence from the energy sector H. Bahyan et al. 10.1108/BIJ-10-2023-0699
71. Hybrid bottom-up and top-down framework resolves discrepancies in Canada’s oil and gas methane inventories E. Chan et al. 10.1038/s43247-024-01728-6
72. Methane emissions from landfills differentially underestimated worldwide Y. Wang et al. 10.1038/s41893-024-01307-9
73. Comparison of observation- and inventory-based methane emissions for eight large global emitters A. Petrescu et al. 10.5194/essd-16-4325-2024
74. A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions J. Maasakkers et al. 10.1021/acs.est.3c05138
75. Remotely sensing potential climate change tipping points across scales T. Lenton et al. 10.1038/s41467-023-44609-w
76. Balance of Anthropogenic and Natural Greenhouse Gas Fluxes of All Inland Ecosystems of the Russian Federation and the Contribution of Sequestration in Forests A. Romanovskaya & V. Korotkov 10.3390/f15040707
77. Constraining biospheric carbon dioxide fluxes by combined top-down and bottom-up approaches S. Upton et al. 10.5194/acp-24-2555-2024
78. A regional integrated assessment of the impacts of climate change and of the potential adaptation avenues for Quebec's forests Y. Boulanger et al. 10.1139/cjfr-2022-0282
79. The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data and a priori inventory estimates J. Worden et al. 10.5194/acp-22-6811-2022
80. Toward a versatile spaceborne architecture for immediate monitoring of the global methane pledge Y. Wang et al. 10.5194/acp-23-5233-2023
81. Practical Guide to Measuring Wetland Carbon Pools and Fluxes S. Bansal et al. 10.1007/s13157-023-01722-2
82. Indicators of Global Climate Change 2023: annual update of key indicators of the state of the climate system and human influence P. Forster et al. 10.5194/essd-16-2625-2024
83. Global greenhouse gas reconciliation 2022 Z. Deng et al. 10.5194/essd-17-1121-2025
84. Country-level methane emissions and their sectoral trends during 2009–2020 estimated by high-resolution inversion of GOSAT and surface observations R. Janardanan et al. 10.1088/1748-9326/ad2436
85. Field-Layer Vegetation and Water Table Level as a Proxy of CO2 Exchange in the West Siberian Boreal Bog D. Ilyasov et al. 10.3390/land12030566
86. Innovations in economic assessment of drought: an application to the US southwest L. Shadabi & F. Ward 10.2166/wp.2024.104
87. The need for carbon-emissions-driven climate projections in CMIP7 B. Sanderson et al. 10.5194/gmd-17-8141-2024
88. Top-down constraints on N2O emissions from Canada C. Nevison et al. 10.1016/j.atmosenv.2023.120075
89. The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2020 M. McGrath et al. 10.5194/essd-15-4295-2023
90. Carbon Monitor Cities near-real-time daily estimates of CO2 emissions from 1500 cities worldwide D. Huo et al. 10.1038/s41597-022-01657-z
91. Near-real-time daily estimates of fossil fuel CO2 emissions from major high-emission cities in China D. Huo et al. 10.1038/s41597-022-01796-3
92. How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
93. Large CO2 Emitters as Seen From Satellite: Comparison to a Gridded Global Emission Inventory F. Chevallier et al. 10.1029/2021GL097540
94. On the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: lessons learned from ESA-CCI RECCAP2 A. Bastos et al. 10.1186/s13021-022-00214-w
95. Informing forest carbon inventories under the Paris Agreement using ground‐based forest monitoring data K. Anderson‐Teixeira et al. 10.1002/ppp3.10587
96. Monitoring global carbon emissions in 2021 Z. Liu et al. 10.1038/s43017-022-00285-w