86 citations as recorded by crossref.

1. Environmental controls on methane fluxes in a cool temperate bog M. Ueyama et al. 10.1016/j.agrformet.2019.107852
2. Reviews and syntheses: Four decades of modeling methane cycling in terrestrial ecosystems X. Xu et al. 10.5194/bg-13-3735-2016
3. Accuracy Verification of Satellite Products and Temporal and Spatial Distribution Analysis and Prediction of the CH4 Concentration in China K. Cai et al. 10.3390/rs15112813
4. Analysis of the Diurnal, Weekly, and Seasonal Cycles and Annual Trends in Atmospheric CO2 and CH4 at Tower Network in Siberia from 2005 to 2016 D. Belikov et al. 10.3390/atmos10110689
5. Model-based evaluation of methane emissions from paddy fields in East Asia A. ITO et al. 10.2480/agrmet.D-21-00037
6. High-Resolution Estimation of Methane Emissions from Boreal and Pan-Arctic Wetlands Using Advanced Satellite Data Y. Albuhaisi et al. 10.3390/rs15133433
7. Plant component features of forest-bog ecotones of eutrophic paludification in the south of boreal forest zone of West Siberia N. Klimova et al. 10.1088/1755-1315/138/1/012007
8. WETMETH 1.0: a new wetland methane model for implementation in Earth system models C. Nzotungicimpaye et al. 10.5194/gmd-14-6215-2021
9. A review of and perspectives on global change modeling for Northern Eurasia E. Monier et al. 10.1088/1748-9326/aa7aae
10. Modeled production, oxidation, and transport processes of wetland methane emissions in temperate, boreal, and Arctic regions M. Ueyama et al. 10.1111/gcb.16594
11. Field-scale simulation of methane emissions from coastal wetlands in China using an improved version of CH4MOD wetland T. Li et al. 10.1016/j.scitotenv.2016.03.186
12. Methane emissions from global rice fields: Magnitude, spatiotemporal patterns, and environmental controls B. Zhang et al. 10.1002/2016GB005381
13. Year-round simulated methane emissions from a permafrost ecosystem in Northeast Siberia K. Castro-Morales et al. 10.5194/bg-15-2691-2018
14. Methane fluxes in the high northern latitudes for 2005–2013 estimated using a Bayesian atmospheric inversion R. Thompson et al. 10.5194/acp-17-3553-2017
15. A High-Resolution Airborne Color-Infrared Camera Water Mask for the NASA ABoVE Campaign E. Kyzivat et al. 10.3390/rs11182163
16. Evaluation of wetland methane emissions across North America using atmospheric data and inverse modeling S. Miller et al. 10.5194/bg-13-1329-2016
17. Sensitivity of land-type variations across Canada using S-5p products S. Bhatnagar et al. 10.1016/j.geomat.2025.100048
18. A New Process‐Based Soil Methane Scheme: Evaluation Over Arctic Field Sites With the ISBA Land Surface Model X. Morel et al. 10.1029/2018MS001329
19. An Integrative Model for Soil Biogeochemistry and Methane Processes: I. Model Structure and Sensitivity Analysis D. Ricciuto et al. 10.1029/2019JG005468
20. Divergent responses of wetland methane emissions to elevated atmospheric CO2 dependent on water table Y. Lin et al. 10.1016/j.watres.2021.117682
21. Utilizing Earth Observations of Soil Freeze/Thaw Data and Atmospheric Concentrations to Estimate Cold Season Methane Emissions in the Northern High Latitudes M. Tenkanen et al. 10.3390/rs13245059
22. A Closer Look at the Effects of Lake Area, Aquatic Vegetation, and Double‐Counted Wetlands on Pan‐Arctic Lake Methane Emissions Estimates E. Kyzivat & L. Smith 10.1029/2023GL104825
23. Surface Water Microwave Product Series Version 3: A Near-Real Time and 25-Year Historical Global Inundated Area Fraction Time Series From Active and Passive Microwave Remote Sensing K. Jensen & K. Mcdonald 10.1109/LGRS.2019.2898779
24. The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
25. Calibrating the sqHIMMELI v1.0 wetland methane emission model with hierarchical modeling and adaptive MCMC J. Susiluoto et al. 10.5194/gmd-11-1199-2018
26. Assessment of the theoretical limit in instrumental detectability of northern high-latitude methane sources using δ13CCH4 atmospheric signals T. Thonat et al. 10.5194/acp-19-12141-2019
27. Meteorological Control of Subtropical South American Methane Emissions Estimated from GOSAT Observations H. Takagi et al. 10.2151/sola.2021-037
28. Attribution of changes in global wetland methane emissions from pre-industrial to present using CLM4.5-BGC R. Paudel et al. 10.1088/1748-9326/11/3/034020
29. Soil Moisture Monitoring in a Temperate Peatland Using Multi-Sensor Remote Sensing and Linear Mixed Effects K. Millard et al. 10.3390/rs10060903
30. Variability and quasi-decadal changes in the methane budget over the period 2000–2012 M. Saunois et al. 10.5194/acp-17-11135-2017
31. Methane Emissions From Land and Aquatic Ecosystems in Western Siberia: An Analysis With Methane Biogeochemistry Models X. Xi et al. 10.1029/2023JG007466
32. Methane dynamics in vegetated habitats in inland waters: quantification, regulation, and global significance P. Bodmer et al. 10.3389/frwa.2023.1332968
33. Observational constraints reduce model spread but not uncertainty in global wetland methane emission estimates K. Chang et al. 10.1111/gcb.16755
34. Methane emissions from the riverine sandy wetlands on the Mongolia Plateau A. Li et al. 10.1007/s10661-024-13488-z
35. Ensemble estimates of global wetland methane emissions over 2000–2020 Z. Zhang et al. 10.5194/bg-22-305-2025
36. CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al. 10.3390/rs15061620
37. Northern Eurasia Future Initiative (NEFI): facing the challenges and pathways of global change in the twenty-first century P. Groisman et al. 10.1186/s40645-017-0154-5
38. Exploring constraints on a wetland methane emission ensemble (WetCHARTs) using GOSAT observations R. Parker et al. 10.5194/bg-17-5669-2020
39. Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) Z. Zhang et al. 10.5194/essd-13-2001-2021
40. Magnitude, spatial patterns and drivers of methane fluxes from coastal salt marshes and mangrove forests in China Y. Yu et al. 10.1007/s11430-024-1475-4
41. Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH4 observations R. Parker et al. 10.1016/j.rse.2018.02.011
42. Spatial Distribution of Methane Concentration in Baikal Surface Water in the Spring Period D. Pestunov et al. 10.1134/S1024856024700374
43. Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations O. Peltola et al. 10.5194/essd-11-1263-2019
44. Soil Respiration in Alder Swamp (Alnus glutinosa) in Southern Taiga of European Russia Depending on Microrelief T. Glukhova et al. 10.3390/f12040496
45. Methane emissions from global wetlands: An assessment of the uncertainty associated with various wetland extent data sets B. Zhang et al. 10.1016/j.atmosenv.2017.07.001
46. An assessment of natural methane fluxes simulated by the CLASS-CTEM model V. Arora et al. 10.5194/bg-15-4683-2018
47. More enhanced non-growing season methane exchanges under warming on the Qinghai-Tibetan Plateau Z. Liu et al. 10.1016/j.scitotenv.2024.170438
48. Mapping of West Siberian taiga wetland complexes using Landsat imagery: implications for methane emissions I. Terentieva et al. 10.5194/bg-13-4615-2016
49. Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties Z. Zhang et al. 10.5194/bg-13-1387-2016
50. Quantifying Spatial Heterogeneities of Surface Heat Budget and Methane Emissions over West-Siberian Peatland: Highlights from the Mukhrino 2022 Campaign D. Chechin et al. 10.3390/f15010102
51. Model estimates of climate controls on pan-Arctic wetland methane emissions X. Chen et al. 10.5194/bg-12-6259-2015
52. Using ship-borne observations of methane isotopic ratio in the Arctic Ocean to understand methane sources in the Arctic A. Berchet et al. 10.5194/acp-20-3987-2020
53. Atmospheric constraints on the methane emissions from the East Siberian Shelf A. Berchet et al. 10.5194/acp-16-4147-2016
54. A map of global peatland extent created using machine learning (Peat-ML) J. Melton et al. 10.5194/gmd-15-4709-2022
55. Integrating peatlands into the coupled Canadian Land Surface Scheme (CLASS) v3.6 and the Canadian Terrestrial Ecosystem Model (CTEM) v2.0 Y. Wu et al. 10.5194/gmd-9-2639-2016
56. Global wetland contribution to 2000–2012 atmospheric methane growth rate dynamics B. Poulter et al. 10.1088/1748-9326/aa8391
57. Lessons learned from more than a decade of greenhouse gas flux measurements at boreal forests in eastern Siberia and interior Alaska T. Hiyama et al. 10.1016/j.polar.2020.100607
58. Reduced net methane emissions due to microbial methane oxidation in a warmer Arctic Y. Oh et al. 10.1038/s41558-020-0734-z
59. Influence of changes in wetland inundation extent on net fluxes of carbon dioxide and methane in northern high latitudes from 1993 to 2004 Q. Zhuang et al. 10.1088/1748-9326/10/9/095009
60. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
61. Trends in Satellite Earth Observation for Permafrost Related Analyses—A Review M. Philipp et al. 10.3390/rs13061217
62. Partitioning methane flux by the eddy covariance method in a cool temperate bog based on a Bayesian framework M. UEYAMA et al. 10.1016/j.agrformet.2022.108852
63. Satellite-based modeling of wetland methane emissions on a global scale (SatWetCH4 1.0) J. Bernard et al. 10.5194/gmd-18-863-2025
64. Mapping Onshore CH4 Seeps in Western Siberian Floodplains Using Convolutional Neural Network I. Terentieva et al. 10.3390/rs14112661
65. Impacts of climate and reclamation on temporal variations in CH4 emissions from different wetlands in China: from 1950 to 2010 T. Li et al. 10.5194/bg-12-6853-2015
66. 中国滨海盐沼和红树林甲烷排放的规模<bold>、</bold>空间格局和驱动因子 仪. 禹 et al. 10.1360/SSTe-2024-0102
67. A multi-scale comparison of modeled and observed seasonal methane emissions in northern wetlands X. Xu et al. 10.5194/bg-13-5043-2016
68. Modeling micro-topographic controls on boreal peatland hydrology and methane fluxes F. Cresto Aleina et al. 10.5194/bg-12-5689-2015
69. Consumption of atmospheric methane by the Qinghai–Tibet Plateau alpine steppe ecosystem H. Yun et al. 10.5194/tc-12-2803-2018
70. The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
71. Spatial-temporal variation in XCH4 during 2009–2021 and its driving factors across the land of the Northern Hemisphere X. Cao et al. 10.1016/j.atmosres.2023.106811
72. Seasonal dynamics of Arctic soils: Capturing year-round processes in measurements and soil biogeochemical models Z. Lyu et al. 10.1016/j.earscirev.2024.104820
73. Increasing Methane Emissions From Natural Land Ecosystems due to Sea‐Level Rise X. Lu et al. 10.1029/2017JG004273
74. Methane emission from pan-Arctic natural wetlands estimated using a process-based model, 1901–2016 A. Ito 10.1016/j.polar.2018.12.001
75. Methane Content in Ground Ice and Sediments of the Kara Sea Coast I. Streletskaya et al. 10.3390/geosciences8120434
76. The impact of permafrost on carbon dioxide and methane fluxes in Siberia: A meta-analysis O. Masyagina & O. Menyailo 10.1016/j.envres.2019.109096
77. Russian Climate Research in 2015–2018 I. Mokhov 10.1134/S0001433820040064
78. Spatio-temporal variations of the atmospheric greenhouse gases and their sources and sinks in the Arctic region S. Morimoto et al. 10.1016/j.polar.2020.100553
79. The Boreal–Arctic Wetland and Lake Dataset (BAWLD) D. Olefeldt et al. 10.5194/essd-13-5127-2021
80. Highly Dynamic Methane Emission from the West Siberian Boreal Floodplains I. Terentieva et al. 10.1007/s13157-018-1088-4
81. Cold season emissions dominate the Arctic tundra methane budget D. Zona et al. 10.1073/pnas.1516017113
82. Using δ13C-CH4 and δD-CH4 to constrain Arctic methane emissions N. Warwick et al. 10.5194/acp-16-14891-2016
83. Cold‐Season Methane Fluxes Simulated by GCP‐CH4 Models A. Ito et al. 10.1029/2023GL103037
84. Net exchanges of methane and carbon dioxide on the Qinghai-Tibetan Plateau from 1979 to 2100 Z. Jin et al. 10.1088/1748-9326/10/8/085007
85. Vegetation Type Dominates the Spatial Variability in CH4 Emissions Across Multiple Arctic Tundra Landscapes S. Davidson et al. 10.1007/s10021-016-9991-0
86. A large‐scale methane model by incorporating the surface water transport X. Lu et al. 10.1002/2016JG003321