149 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
3. Cold‐Season Methane Fluxes Simulated by GCP‐CH4 Models A. Ito et al. 10.1029/2023GL103037
4. Spatio-temporal dynamics of water use efficiency over forest ecosystems using time series satellite data and carbon flux measurements T. Sett et al. 10.1016/j.foreco.2023.121385
5. Agriculture-informed Neural Networks for Predicting Nitrous Oxide Emissions C. Lin et al. 10.1145/3696113
6. Global Carbon Budget 2016 C. Le Quéré et al. 10.5194/essd-8-605-2016
7. Estimation of Canada's methane emissions: inverse modelling analysis using the Environment and Climate Change Canada (ECCC) measurement network M. Ishizawa et al. 10.5194/acp-24-10013-2024
8. Modelling methane emissions from natural wetlands by development and application of the TRIPLEX-GHG model Q. Zhu et al. 10.5194/gmd-7-981-2014
9. Development of the MIROC-ES2L Earth system model and the evaluation of biogeochemical processes and feedbacks T. Hajima et al. 10.5194/gmd-13-2197-2020
10. PMIP4 experiments using MIROC-ES2L Earth system model R. Ohgaito et al. 10.5194/gmd-14-1195-2021
11. Disequilibrium of terrestrial ecosystem CO<sub>2</sub> budget caused by disturbance-induced emissions and non-CO<sub>2</sub> carbon export flows: a global model assessment A. Ito 10.5194/esd-10-685-2019
12. 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
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14. European anthropogenic AFOLU greenhouse gas emissions: a review and benchmark data A. Petrescu et al. 10.5194/essd-12-961-2020
15. 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
16. The terrestrial carbon budget of South and Southeast Asia M. Cervarich et al. 10.1088/1748-9326/11/10/105006
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18. The Global N2O Model Intercomparison Project H. Tian et al. 10.1175/BAMS-D-17-0212.1
19. Validation of terrestrial biogeochemistry in CMIP6 Earth system models: a review L. Spafford & A. MacDougall 10.5194/gmd-14-5863-2021
20. Weakened growth of cropland‐N2O emissions in China associated with nationwide policy interventions Z. Shang et al. 10.1111/gcb.14741
21. 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
22. Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements T. Thonat et al. 10.5194/acp-17-8371-2017
23. 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
24. 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
25. 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
26. Global Carbon Budget 2022 P. Friedlingstein et al. 10.5194/essd-14-4811-2022
27. Methane dynamics in vegetated habitats in inland waters: quantification, regulation, and global significance P. Bodmer et al. 10.3389/frwa.2023.1332968
28. 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
29. Temperate northern hemisphere dominates the global soil CH4 sink X. Xu et al. 10.1007/s11629-021-7126-3
30. 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
31. Pinus sylvestris as a missing source of nitrous oxide and methane in boreal forest K. Machacova et al. 10.1038/srep23410
32. 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
33. 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
34. 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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36. Global methane and nitrous oxide emissions from terrestrial ecosystems due to multiple environmental changes H. Tian et al. 10.1890/EHS14-0015.1
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38. Does replacing coal with wood lower CO 2 emissions? Dynamic lifecycle analysis of wood bioenergy J. Sterman et al. 10.1088/1748-9326/aaa512
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40. Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories F. Wang et al. 10.3390/rs11212489
41. Variability and quasi-decadal changes in the methane budget over the period 2000–2012 M. Saunois et al. 10.5194/acp-17-11135-2017
42. Multi-model ensemble successfully predicted atmospheric methane consumption in soils across the complex landscape M. Glagolev et al. 10.18822/edgcc625761
43. Sensitivity of land use change emission estimates to historical land use and land cover mapping S. Peng et al. 10.1002/2015GB005360
44. 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
45. Uncertainty Quantification of Global Net Methane Emissions From Terrestrial Ecosystems Using a Mechanistically Based Biogeochemistry Model L. Liu et al. 10.1029/2019JG005428
46. Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP D. Stevenson et al. 10.5194/acp-20-12905-2020
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. Simulations of atmospheric methane for Cape Grim, Tasmania, to constrain southeastern Australian methane emissions Z. Loh et al. 10.5194/acp-15-305-2015
49. 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
50. Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations R. Janardanan et al. 10.3390/rs12030375
51. Methane uptake by four land-use types in the agro-pastoral region of northern China Y. Rong et al. 10.1016/j.atmosenv.2015.06.003
52. 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
53. Methane uptake in a temperate forest soil using continuous closed-chamber measurements M. Ueyama et al. 10.1016/j.agrformet.2015.05.004
54. Controlling variables and emission factors of methane from global rice fields J. Wang et al. 10.5194/acp-18-10419-2018
55. Inferring methane fluxes at a larch forest using Lagrangian, Eulerian, and hybrid inverse models M. Ueyama et al. 10.1002/2014JG002716
56. 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
57. 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
58. Global Carbon Budget 2021 P. Friedlingstein et al. 10.5194/essd-14-1917-2022
59. 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
60. 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
61. On the scaling of climate impact indicators with global mean temperature increase: a case study of terrestrial ecosystems and water resources A. Tanaka et al. 10.1007/s10584-017-1911-6
62. Bottom‐Up Evaluation of the Methane Budget in Asia and Its Subregions A. Ito et al. 10.1029/2023GB007723
63. Variations of tropospheric methane over Japan during 1988–2010 T. Umezawa et al. 10.3402/tellusb.v66.23837
64. 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
65. HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands M. Raivonen et al. 10.5194/gmd-10-4665-2017
66. 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
67. Quantification of the ecosystem carrying capacity on China’s Loess Plateau W. Liang et al. 10.1016/j.ecolind.2019.01.020
68. Interannual variability on methane emissions in monsoon Asia derived from GOSAT and surface observations F. Wang et al. 10.1088/1748-9326/abd352
69. The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
70. 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
71. How Will Deforestation and Vegetation Degradation Affect Global Fire Activity? C. Park et al. 10.1029/2020EF001786
72. Global carbon budget 2013 C. Le Quéré et al. 10.5194/essd-6-235-2014
73. 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
74. Observational evidence of high methane emissions over a city in western India N. Chandra et al. 10.1016/j.atmosenv.2019.01.007
75. The Role of Emission Sources and Atmospheric Sink in the Seasonal Cycle of CH4 and δ13-CH4: Analysis Based on the Atmospheric Chemistry Transport Model TM5 V. Kangasaho et al. 10.3390/atmos13060888
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78. Scaling relations between leaf and plant water use efficiencies in rainfed Cotton S. Chintala et al. 10.1016/j.agwat.2024.108680
79. 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
80. Effect of varying soil water potentials on methanogenesis in aerated marshland soils D. Wagner 10.1038/s41598-017-14980-y
81. 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
82. Reviews and syntheses: Four decades of modeling methane cycling in terrestrial ecosystems X. Xu et al. 10.5194/bg-13-3735-2016
83. 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
84. 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
85. Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty H. Tian et al. 10.1111/gcb.14514
86. Evaluating CHASER V4.0 global formaldehyde (HCHO) simulations using satellite, aircraft, and ground-based remote-sensing observations H. Hoque et al. 10.5194/gmd-17-5545-2024
87. 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
88. Regional Methane Emission Estimation Based on Observed Atmospheric Concentrations (2002-2012) P. PATRA et al. 10.2151/jmsj.2016-006
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90. 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
91. Strong sensitivity of the isotopic composition of methane to the plausible range of tropospheric chlorine S. Strode et al. 10.5194/acp-20-8405-2020
92. Methane uptake in global forest and grassland soils from 1981 to 2010 L. Yu et al. 10.1016/j.scitotenv.2017.07.082
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95. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. 10.5194/essd-13-2307-2021
96. Estimation of methane emission from rice paddy soils in Japan using the diagnostic ecosystem model T. SASAI et al. 10.2480/agrmet.D-16-00013
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