143 citations as recorded by crossref.

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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
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7. 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
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10. 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
11. 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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14. The terrestrial carbon budget of South and Southeast Asia M. Cervarich et al. 10.1088/1748-9326/11/10/105006
15. Global Carbon Budget 2017 C. Le Quéré et al. 10.5194/essd-10-405-2018
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17. Validation of terrestrial biogeochemistry in CMIP6 Earth system models: a review L. Spafford & A. MacDougall 10.5194/gmd-14-5863-2021
18. Weakened growth of cropland‐N2O emissions in China associated with nationwide policy interventions Z. Shang et al. 10.1111/gcb.14741
19. 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
20. Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements T. Thonat et al. 10.5194/acp-17-8371-2017
21. 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
22. 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
23. Global Carbon Budget 2022 P. Friedlingstein et al. 10.5194/essd-14-4811-2022
24. Methane dynamics in vegetated habitats in inland waters: quantification, regulation, and global significance P. Bodmer et al. 10.3389/frwa.2023.1332968
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27. 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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29. 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
30. 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
31. 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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33. 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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37. Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories F. Wang et al. 10.3390/rs11212489
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41. 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
42. Uncertainty Quantification of Global Net Methane Emissions From Terrestrial Ecosystems Using a Mechanistically Based Biogeochemistry Model L. Liu et al. 10.1029/2019JG005428
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45. Simulations of atmospheric methane for Cape Grim, Tasmania, to constrain southeastern Australian methane emissions Z. Loh et al. 10.5194/acp-15-305-2015
46. 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
47. 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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51. Controlling variables and emission factors of methane from global rice fields J. Wang et al. 10.5194/acp-18-10419-2018
52. Inferring methane fluxes at a larch forest using Lagrangian, Eulerian, and hybrid inverse models M. Ueyama et al. 10.1002/2014JG002716
53. 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
54. 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
55. Global Carbon Budget 2021 P. Friedlingstein et al. 10.5194/essd-14-1917-2022
56. 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
57. 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
58. 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
59. Bottom‐Up Evaluation of the Methane Budget in Asia and Its Subregions A. Ito et al. 10.1029/2023GB007723
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61. 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
62. HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands M. Raivonen et al. 10.5194/gmd-10-4665-2017
63. 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
64. Quantification of the ecosystem carrying capacity on China’s Loess Plateau W. Liang et al. 10.1016/j.ecolind.2019.01.020
65. Interannual variability on methane emissions in monsoon Asia derived from GOSAT and surface observations F. Wang et al. 10.1088/1748-9326/abd352
66. The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
67. 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
68. How Will Deforestation and Vegetation Degradation Affect Global Fire Activity? C. Park et al. 10.1029/2020EF001786
69. Global carbon budget 2013 C. Le Quéré et al. 10.5194/essd-6-235-2014
70. 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
71. Observational evidence of high methane emissions over a city in western India N. Chandra et al. 10.1016/j.atmosenv.2019.01.007
72. 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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81. 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
82. 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
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