154 citations as recorded by crossref.

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2. Solar radiation drives methane emissions from the shoots of Scots pine S. Tenhovirta et al. 10.1111/nph.18120
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13. A model-independent open-source geospatial tool for managing point-based environmental model simulations at multiple spatial locations K. Thorp & K. Bronson 10.1016/j.envsoft.2013.09.002
14. Long-term changes in CH4 emissions: Comparing ΔCH4/ΔCO2 ratios between observation and proved model in East Asia (2010–2020) S. Kenea et al. 10.1016/j.atmosenv.2022.119437
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16. Uncertainties in the national inventory of methane emissions from rice cultivation: field measurements and modeling approaches W. Zhang et al. 10.5194/bg-14-163-2017
17. The terrestrial carbon budget of South and Southeast Asia M. Cervarich et al. 10.1088/1748-9326/11/10/105006
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20. Validation of terrestrial biogeochemistry in CMIP6 Earth system models: a review L. Spafford & A. MacDougall 10.5194/gmd-14-5863-2021
21. Weakened growth of cropland‐N2O emissions in China associated with nationwide policy interventions Z. Shang et al. 10.1111/gcb.14741
22. Multi-axis differential optical absorption spectroscopy (MAX-DOAS) observations of formaldehyde and nitrogen dioxide at three sites in Asia and comparison with the global chemistry transport model CHASER H. Hoque et al. 10.5194/acp-22-12559-2022
23. Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements T. Thonat et al. 10.5194/acp-17-8371-2017
24. Dynamics of Ecosystem Water Use Efficiency in Citrus Orchards of Central India Using Eddy Covariance and Landsat Measurements S. Peddinti et al. 10.1007/s10021-019-00416-3
25. Satellite-detected large CO2 release in southwestern North America during the 2020–2021 drought and associated wildfires H. Chen et al. 10.1088/1748-9326/ad3cf7
26. Long-term and Multidisciplinary Research on Carbon Cycling and Forest Ecosystem Functions in a Mountainous Landscape: Development and Perspectives H. MURAOKA et al. 10.5026/jgeography.128.129
27. Global Carbon Budget 2022 P. Friedlingstein et al. 10.5194/essd-14-4811-2022
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29. Inter-seasonal and spatial distribution of ground-level greenhouse gases (CO2, CH4, N2O) over Nagpur in India and their management roadmap D. Majumdar et al. 10.1007/s10661-017-5829-2
30. Temperate northern hemisphere dominates the global soil CH4 sink X. Xu et al. 10.1007/s11629-021-7126-3
31. Discrepancies between Global Forest Net Primary Productivity Estimates Derived from MODIS and Forest Inventory Data and Underlying Factors J. Park et al. 10.3390/rs13081441
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33. Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6 H. Tatebe et al. 10.5194/gmd-12-2727-2019
34. Exploring sub-daily to seasonal variations in methane exchange in a single-crop rice paddy in central Japan H. Iwata et al. 10.1016/j.atmosenv.2018.02.015
35. Observational constraints reduce model spread but not uncertainty in global wetland methane emission estimates K. Chang et al. 10.1111/gcb.16755
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45. 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
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48. More enhanced non-growing season methane exchanges under warming on the Qinghai-Tibetan Plateau Z. Liu et al. 10.1016/j.scitotenv.2024.170438
49. Simulations of atmospheric methane for Cape Grim, Tasmania, to constrain southeastern Australian methane emissions Z. Loh et al. 10.5194/acp-15-305-2015
50. MIROC-INTEG-LAND version 1: a global biogeochemical land surface model with human water management, crop growth, and land-use change T. Yokohata et al. 10.5194/gmd-13-4713-2020
51. Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations R. Janardanan et al. 10.3390/rs12030375
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55. Controlling variables and emission factors of methane from global rice fields J. Wang et al. 10.5194/acp-18-10419-2018
56. Inferring methane fluxes at a larch forest using Lagrangian, Eulerian, and hybrid inverse models M. Ueyama et al. 10.1002/2014JG002716
57. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
58. Modeling the large-scale effects of surface moisture heterogeneity on wetland carbon fluxes in the West Siberian Lowland T. Bohn et al. 10.5194/bg-10-6559-2013
59. Global Carbon Budget 2021 P. Friedlingstein et al. 10.5194/essd-14-1917-2022
60. Fraction of nitrous oxide production in nitrification and its effect on total soil emission: A meta-analysis and global-scale sensitivity analysis using a process-based model M. Inatomi et al. 10.1371/journal.pone.0219159
61. A conjugate BFGS method for accurate estimation of a posterior error covariance matrix in a linear inverse problem Y. Niwa & Y. Fujii 10.1002/qj.3838
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63. Bottom‐Up Evaluation of the Methane Budget in Asia and Its Subregions A. Ito et al. 10.1029/2023GB007723
64. Variations of tropospheric methane over Japan during 1988–2010 T. Umezawa et al. 10.3402/tellusb.v66.23837
65. Development and Evaluation of a Multi-Year Fractional Surface Water Data Set Derived from Active/Passive Microwave Remote Sensing Data R. Schroeder et al. 10.3390/rs71215843
66. HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands M. Raivonen et al. 10.5194/gmd-10-4665-2017
67. Air temperature and precipitation constraining the modelled wetland methane emissions in a boreal region in northern Europe T. Aalto et al. 10.5194/bg-22-323-2025
68. Land-use and land-cover change carbon emissions between 1901 and 2012 constrained by biomass observations W. Li et al. 10.5194/bg-14-5053-2017
69. Quantification of the ecosystem carrying capacity on China’s Loess Plateau W. Liang et al. 10.1016/j.ecolind.2019.01.020
70. Interannual variability on methane emissions in monsoon Asia derived from GOSAT and surface observations F. Wang et al. 10.1088/1748-9326/abd352
71. The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
72. Estimation of fire-induced carbon emissions from Equatorial Asia in 2015 using in situ aircraft and ship observations Y. Niwa et al. 10.5194/acp-21-9455-2021
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76. Sandy soils in the forests of northern Michigan (USA) as methane sinks: Impacts of tree species composition and winter snowpacks C. Kasmerchak et al. 10.1016/j.foreco.2025.122527
77. Observational evidence of high methane emissions over a city in western India N. Chandra et al. 10.1016/j.atmosenv.2019.01.007
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80. Improved global estimations of gross primary productivity of natural vegetation types by incorporating plant functional type S. Lin et al. 10.1016/j.jag.2021.102328
81. Scaling relations between leaf and plant water use efficiencies in rainfed Cotton S. Chintala et al. 10.1016/j.agwat.2024.108680
82. Constraining models for methane oxidation based on long-term continuous chamber measurements in a temperate forest soil M. Ueyama et al. 10.1016/j.agrformet.2021.108654
83. Effect of varying soil water potentials on methanogenesis in aerated marshland soils D. Wagner 10.1038/s41598-017-14980-y
84. Spring onsets of a young forest in interior Alaska determined based on time‑lapse camera and eddy covariance measurements S. KAWASHIMA et al. 10.2480/agrmet.D-21-00003
85. Reviews and syntheses: Four decades of modeling methane cycling in terrestrial ecosystems X. Xu et al. 10.5194/bg-13-3735-2016
86. Global and Regional CH4 Emissions for 1995–2013 Derived From Atmospheric CH4, δ13C‐CH4, and δD‐CH4 Observations and a Chemical Transport Model R. Fujita et al. 10.1029/2020JD032903
87. Temporal Variations of the Mole Fraction, Carbon, and Hydrogen Isotope Ratios of Atmospheric Methane in the Hudson Bay Lowlands, Canada R. Fujita et al. 10.1002/2017JD027972
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90. Seasonal Variations of CH4 Emissions in the Yangtze River Delta Region of China Are Driven by Agricultural Activities W. Huang et al. 10.1007/s00376-021-0383-9
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