119 citations as recorded by crossref.

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23. Methane emissions from global rice fields: Magnitude, spatiotemporal patterns, and environmental controls B. Zhang et al. 10.1002/2016GB005381
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29. Impacts of climate and reclamation on temporal variations in CH<sub>4</sub> emissions from different wetlands in China: from 1950 to 2010 T. Li et al. 10.5194/bg-12-6853-2015
30. Carbon cycle uncertainty in the Alaskan Arctic J. Fisher et al. 10.5194/bg-11-4271-2014
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32. Can we explain the observed methane variability after the Mount Pinatubo eruption? N. Bândă et al. 10.5194/acp-16-195-2016
33. Modeling CH4 Emissions from Natural Wetlands on the Tibetan Plateau over the Past 60 Years: Influence of Climate Change and Wetland Loss T. Li et al. 10.3390/atmos7070090
34. Inverse modeling of pan-Arctic methane emissions at high spatial resolution: what can we learn from assimilating satellite retrievals and using different process-based wetland and lake biogeochemical models? Z. Tan et al. 10.5194/acp-16-12649-2016
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40. Carbon, Nitrogen, and Sulfur Elemental Fluxes in the Soil and Exchanges with the Atmosphere in Australian Tropical, Temperate, and Arid Wetlands C. Pasut et al. 10.3390/atmos12010042
41. Evolution of Atmospheric Carbon Dioxide and Methane Mole Fractions in the Yangtze River Delta, China K. Jiang et al. 10.3390/atmos14081295
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43. How management interacts with environmental drivers to control greenhouse gas fluxes from Pacific Northwest coastal wetlands M. Schultz et al. 10.1007/s10533-023-01071-6
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46. 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
47. Characteristics and effect factors of CH4 emissions in single-family treatment wetlands J. Hu et al. 10.1016/j.ecoleng.2022.106793
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49. Understanding the glacial methane cycle P. Hopcroft et al. 10.1038/ncomms14383
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52. Methane emissions from floodplains in the Amazon Basin: challenges in developing a process-based model for global applications B. Ringeval et al. 10.5194/bg-11-1519-2014
53. Reviews and syntheses: Four decades of modeling methane cycling in terrestrial ecosystems X. Xu et al. 10.5194/bg-13-3735-2016
54. Genome-centric view of carbon processing in thawing permafrost B. Woodcroft et al. 10.1038/s41586-018-0338-1
55. Challenges Regionalizing Methane Emissions Using Aquatic Environments in the Amazon Basin as Examples J. Melack et al. 10.3389/fenvs.2022.866082
56. A global‐scale analysis of water storage dynamics of inland wetlands: Quantifying the impacts of human water use and man‐made reservoirs as well as the unavoidable and avoidable impacts of climate change P. Döll et al. 10.1002/eco.2175
57. Surface water inundation in the boreal-Arctic: potential impacts on regional methane emissions J. Watts et al. 10.1088/1748-9326/9/7/075001
58. Evaluation of wetland methane emissions across North America using atmospheric data and inverse modeling S. Miller et al. 10.5194/bg-13-1329-2016
59. The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
60. Spatiotemporal Assessment of GHG Emissions and Nutrient Sequestration Linked to Agronutrient Runoff in Global Wetlands C. Pasut et al. 10.1029/2020GB006816
61. Simulated Hydrological Dynamics and Coupled Iron Redox Cycling Impact Methane Production in an Arctic Soil B. Sulman et al. 10.1029/2021JG006662
62. An observation-constrained assessment of the climate sensitivity and future trajectories of wetland methane emissions E. Koffi et al. 10.1126/sciadv.aay4444
63. Modeling strategies and data needs for representing coastal wetland vegetation in land surface models S. LaFond‐Hudson & B. Sulman 10.1111/nph.18760
64. Detecting, Extracting, and Monitoring Surface Water From Space Using Optical Sensors: A Review C. Huang et al. 10.1029/2018RG000598
65. Humid Subtropical Forests Constitute a Net Methane Source: A Catchment‐Scale Study L. Yu et al. 10.1029/2019JG005210
66. Causality guided machine learning model on wetland CH4 emissions across global wetlands K. Yuan et al. 10.1016/j.agrformet.2022.109115
67. Adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling J. Deng et al. 10.1002/2016MS000817
68. Extending a land-surface model with <i>Sphagnum</i> moss to simulate responses of a northern temperate bog to whole ecosystem warming and elevated CO<sub>2</sub> X. Shi et al. 10.5194/bg-18-467-2021
69. Peatland-VU-NUCOM (PVN 1.0): using dynamic plant functional types to model peatland vegetation, CH4, and CO2 emissions T. Lippmann et al. 10.5194/gmd-16-6773-2023
70. A large‐scale methane model by incorporating the surface water transport X. Lu et al. 10.1002/2016JG003321
71. Disentangling methane and carbon dioxide sources and transport across the Russian Arctic from aircraft measurements C. Narbaud et al. 10.5194/acp-23-2293-2023
72. Greenhouse gas fluxes from Alaska's North Slope inferred from the Airborne Carbon Measurements campaign (ACME-V) J. Tadić et al. 10.1016/j.atmosenv.2021.118239
73. NGRIP CH<sub>4</sub> concentration from 120 to 10 kyr before present and its relation to a δ<sup>15</sup>N temperature reconstruction from the same ice core M. Baumgartner et al. 10.5194/cp-10-903-2014
74. DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands B. Stocker et al. 10.5194/gmd-7-3089-2014
75. The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
76. Inverse modelling of European CH<sub>4</sub> emissions during 2006–2012 using different inverse models and reassessed atmospheric observations P. Bergamaschi et al. 10.5194/acp-18-901-2018
77. Multi-source global wetland maps combining surface water imagery and groundwater constraints A. Tootchi et al. 10.5194/essd-11-189-2019
78. Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands J. Irvin et al. 10.1016/j.agrformet.2021.108528
79. WETCHIMP-WSL: intercomparison of wetland methane emissions models over West Siberia T. Bohn et al. 10.5194/bg-12-3321-2015
80. Russian climate studies in 2011–2014 I. Mokhov 10.1134/S0001433817050097
81. Estimating global natural wetland methane emissions using process modelling: spatio‐temporal patterns and contributions to atmospheric methane fluctuations Q. Zhu et al. 10.1111/geb.12307
82. The Importance of Spatial Resolution in the Modeling of Methane Emissions from Natural Wetlands Y. Albuhaisi et al. 10.3390/rs15112840
83. Stable atmospheric methane in the 2000s: key-role of emissions from natural wetlands I. Pison et al. 10.5194/acp-13-11609-2013
84. The impact of spatially varying wetland source signatures on the atmospheric variability ofδD-CH4 A. Stell et al. 10.1098/rsta.2020.0442
85. Satellite Constraints on the Latitudinal Distribution and Temperature Sensitivity of Wetland Methane Emissions S. Ma et al. 10.1029/2021AV000408
86. The importance of plants for methane emission at the ecosystem scale D. Bastviken et al. 10.1016/j.aquabot.2022.103596
87. Comparisons of Global Terrestrial Surface Water Datasets over 15 Years B. Pham-Duc et al. 10.1175/JHM-D-16-0206.1
88. Bottom-up evaluation of the regional methane budget of northern lands from 1980 to 2015 A. Ito 10.1016/j.polar.2020.100558
89. Satellite‐Derived Global Surface Water Extent and Dynamics Over the Last 25 Years (GIEMS‐2) C. Prigent et al. 10.1029/2019JD030711
90. Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) Z. Zhang et al. 10.5194/essd-13-2001-2021
91. Global wetland contribution to 2000–2012 atmospheric methane growth rate dynamics B. Poulter et al. 10.1088/1748-9326/aa8391
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93. Methane budget estimates in Finland from the CarbonTracker Europe-CH₄ data assimilation system A. Tsuruta et al. 10.1080/16000889.2018.1565030
94. 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
95. Hysteretic temperature sensitivity of wetland CH<sub>4</sub> fluxes explained by substrate availability and microbial activity K. Chang et al. 10.5194/bg-17-5849-2020
96. Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET‐CH4 Sites Using Wavelet Analyses Z. Zhang et al. 10.1029/2022JG007259
97. High uncertainties detected in the wetlands distribution of the Qinghai–Tibet Plateau based on multisource data J. Wang et al. 10.1007/s11355-019-00402-w
98. The Arctic Carbon Cycle and Its Response to Changing Climate L. Bruhwiler et al. 10.1007/s40641-020-00169-5
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100. Ground subsidence effects on simulating dynamic high-latitude surface inundation under permafrost thaw using CLM5 A. Ekici et al. 10.5194/gmd-12-5291-2019
101. Modeling Sediment Yield in Land Surface and Earth System Models: Model Comparison, Development, and Evaluation Z. Tan et al. 10.1029/2017MS001270
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105. Large-Scale Marsh Loss Reconstructed from Satellite Data in the Small Sanjiang Plain since 1965: Process, Pattern and Driving Force F. Yan 10.3390/s20041036
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107. Effects of seasonal inundation on methane fluxes from forested freshwater wetlands K. Hondula et al. 10.1088/1748-9326/ac1193
108. Methane Production Pathway Regulated Proximally by Substrate Availability and Distally by Temperature in a High‐Latitude Mire Complex K. Chang et al. 10.1029/2019JG005355
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116. An expert system model for mapping tropical wetlands and peatlands reveals South America as the largest contributor T. Gumbricht et al. 10.1111/gcb.13689
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