114 citations as recorded by crossref.

1. Diurnal Variation of CO₂ Flux in an Urban Area of Tokyo T. Hirano et al. 10.2151/sola.2015-024
2. China’s sizeable and uncertain carbon sink: a perspective from GOSAT L. Zhang et al. 10.1007/s11434-014-0260-3
3. A Cluster of CO2 Change Characteristics with GOSAT Observations for Viewing the Spatial Pattern of CO2 Emission and Absorption D. Liu et al. 10.3390/atmos6111695
4. Relationships between CO₂ Flux Estimated by Inverse Analysis and Land Surface Elements in South America and Africa K. MABUCHI et al. 10.2151/jmsj.2016-021
5. The Effect of GOSAT Observations on Estimates of Net CO₂ Flux in Semi-Arid Regions of the Southern Hemisphere M. Kondo et al. 10.2151/sola.2016-037
6. Global and Brazilian Carbon Response to El Niño Modoki 2011–2010 K. Bowman et al. 10.1002/2016EA000204
7. Estimation of fossil-fuel CO<sub>2</sub> emissions using satellite measurements of "proxy" species I. Konovalov et al. 10.5194/acp-16-13509-2016
8. Errors and uncertainties in a gridded carbon dioxide emissions inventory T. Oda et al. 10.1007/s11027-019-09877-2
9. CO2 Flux over the Contiguous United States in 2016 Inverted by WRF-Chem/DART from OCO-2 XCO2 Retrievals Q. Zhang et al. 10.3390/rs13152996
10. Column-averaged CO2 concentrations in the subarctic from GOSAT retrievals and NIES transport model simulations D. Belikov et al. 10.1016/j.polar.2014.02.002
11. Atmospheric CO2 at Waliguan station in China: Transport climatology, temporal patterns and source-sink region representativeness S. Cheng et al. 10.1016/j.atmosenv.2017.03.055
12. Evaluating nighttime lights and population distribution as proxies for mapping anthropogenic CO2emission in Vietnam, Cambodia and Laos A. Gaughan et al. 10.1088/2515-7620/ab3d91
13. Integration of surface-based and space-based atmospheric CO2 measurements for improving carbon flux estimates using a new developed 3-GAS inversion model S. Liu et al. 10.1016/j.atmosres.2024.107477
14. Technical note: A high-resolution inverse modelling technique for estimating surface CO<sub>2</sub> fluxes based on the NIES-TM–FLEXPART coupled transport model and its adjoint S. Maksyutov et al. 10.5194/acp-21-1245-2021
15. Impacts of data assimilation on the global ocean carbonate system L. Visinelli et al. 10.1016/j.jmarsys.2016.02.011
16. Update on the GOSAT TANSO–FTS SWIR Level 2 retrieval algorithm Y. Someya et al. 10.5194/amt-16-1477-2023
17. Adjoint of the global Eulerian–Lagrangian coupled atmospheric transport model (A-GELCA v1.0): development and validation D. Belikov et al. 10.5194/gmd-9-749-2016
18. Carbon Monitoring Satellite (CarbonSat): assessment of atmospheric CO<sub>2</sub> and CH<sub>4</sub> retrieval errors by error parameterization M. Buchwitz et al. 10.5194/amt-6-3477-2013
19. Interannual variability on methane emissions in monsoon Asia derived from GOSAT and surface observations F. Wang et al. 10.1088/1748-9326/abd352
20. Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. 10.1029/2020JD032794
21. Characterizing biospheric carbon balance using CO<sub>2</sub> observations from the OCO-2 satellite S. Miller et al. 10.5194/acp-18-6785-2018
22. Emission Monitoring Mobile Experiment (EMME): an overview and first results of the St. Petersburg megacity campaign 2019 M. Makarova et al. 10.5194/amt-14-1047-2021
23. Neural-network-based estimation of regional-scale anthropogenic CO<sub>2</sub> emissions using an Orbiting Carbon Observatory-2 (OCO-2) dataset over East and West Asia F. Mustafa et al. 10.5194/amt-14-7277-2021
24. Important evidence of constant low CO2 windows and impacts on the non-closure of the greenhouse effect J. Zhao et al. 10.1038/s41598-019-41562-x
25. Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO<sub>2</sub> T. Thum et al. 10.5194/bg-17-5721-2020
26. A global synthesis inversion analysis of recent variability in CO<sub>2</sub> fluxes using GOSAT and in situ observations J. Wang et al. 10.5194/acp-18-11097-2018
27. The carbon sink in China as seen from GOSAT with a regional inversion system based on the Community Multi-scale Air Quality (CMAQ) and ensemble Kalman smoother (EnKS) X. Kou et al. 10.5194/acp-23-6719-2023
28. Influence of differences in current GOSATXCO2retrievals on surface flux estimation H. Takagi et al. 10.1002/2013GL059174
29. A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals L. Zhang et al. 10.1029/2023GL102815
30. On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems? B. Byrne et al. 10.5194/acp-19-13017-2019
31. High-resolution GEOS-Chem model for Indian monsoon region: Seasonal cycle and budget of tropospheric CO2 S. Allahudheen et al. 10.1016/j.atmosenv.2023.119913
32. Spatio-Temporal Consistency Evaluation of XCO2 Retrievals from GOSAT and OCO-2 Based on TCCON and Model Data for Joint Utilization in Carbon Cycle Research Y. Kong et al. 10.3390/atmos10070354
33. Spatial modeling of micro‐scale carbon dioxide sources and sinks in urban environments: A novel approach to quantify urban impacts on global warming L. Khodakarami 10.1002/ghg.2273
34. Spatiotemporal investigation of near-surface CH4 and factors influencing CH4 over South, East, and Southeast Asia M. Khaliq et al. 10.1016/j.scitotenv.2024.171311
35. Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities A. Kuze et al. 10.1016/j.rse.2022.112966
36. Seven years of observational atmospheric CO2 at a maritime site in northernmost Japan and its implications C. Zhu & H. Yoshikawa-Inoue 10.1016/j.scitotenv.2015.04.044
37. The potential of Orbiting Carbon Observatory-2 data to reduce the uncertainties in CO<sub>2</sub> surface fluxes over Australia using a variational assimilation scheme Y. Villalobos et al. 10.5194/acp-20-8473-2020
38. Was Australia a sink or source of CO<sub>2</sub> in 2015? Data assimilation using OCO-2 satellite measurements Y. Villalobos et al. 10.5194/acp-21-17453-2021
39. Evaluation of forest CO₂ fluxes from sonde measurements in three different climatological areas including Borneo, Malaysia, and Iriomote and Hokkaido, Japan S. Nomura et al. 10.1080/16000889.2018.1426316
40. Assumptions about prior fossil fuel inventories impact our ability to estimate posterior net CO2 fluxes that are needed for verifying national inventories T. Oda et al. 10.1088/1748-9326/ad059b
41. Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. 10.3390/rs16183394
42. Regional CO<sub>2</sub> fluxes from 2010 to 2015 inferred from GOSAT XCO<sub>2</sub> retrievals using a new version of the Global Carbon Assimilation System F. Jiang et al. 10.5194/acp-21-1963-2021
43. Satellite- and ground-based measurements of CO2 over the Indian region: its seasonal dependencies, spatial variability, and model estimates K. Nalini et al. 10.1080/01431161.2018.1479787
44. A 10-year global monthly averaged terrestrial net ecosystem exchange dataset inferred from the ACOS GOSAT v9 XCO2 retrievals (GCAS2021) F. Jiang et al. 10.5194/essd-14-3013-2022
45. Benefits of satellite XCO2 and newly proposed atmospheric CO2 observation network over India in constraining regional CO2 fluxes S. Halder et al. 10.1016/j.scitotenv.2021.151508
46. Does GOSAT capture the true seasonal cycle of carbon dioxide? H. Lindqvist et al. 10.5194/acp-15-13023-2015
47. The First Global Carbon Dioxide Flux Map Derived from TanSat Measurements D. Yang et al. 10.1007/s00376-021-1179-7
48. Bias corrections of GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> with TCCON data and their evaluation using aircraft measurement data M. Inoue et al. 10.5194/amt-9-3491-2016
49. Impacts of different biomass burning emission inventories: Simulations of atmospheric CO2 concentrations based on GEOS-Chem M. Su et al. 10.1016/j.scitotenv.2023.162825
50. New data‐driven estimation of terrestrial CO2 fluxes in Asia using a standardized database of eddy covariance measurements, remote sensing data, and support vector regression K. Ichii et al. 10.1002/2016JG003640
51. Enhanced Methane Emissions during Amazonian Drought by Biomass Burning M. Saito et al. 10.1371/journal.pone.0166039
52. Four years of global carbon cycle observed from the Orbiting Carbon Observatory 2 (OCO-2) version 9 and in situ data and comparison to OCO-2 version 7 H. Peiro et al. 10.5194/acp-22-1097-2022
53. 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
54. The Potential of the Geostationary Carbon Cycle Observatory (GeoCarb) to Provide Multi-scale Constraints on the Carbon Cycle in the Americas B. Moore III et al. 10.3389/fenvs.2018.00109
55. Temporal changes in the emissions of CH<sub>4</sub> and CO from China estimated from CH<sub>4</sub> / CO<sub>2</sub> and CO / CO<sub>2</sub> correlations observed at Hateruma Island Y. Tohjima et al. 10.5194/acp-14-1663-2014
56. Sensitivity analysis of the potential impact of discrepancies in stratosphere–troposphere exchange on inferred sources and sinks of CO<sub>2</sub> F. Deng et al. 10.5194/acp-15-11773-2015
57. Observation and integrated Earth-system science: A roadmap for 2016–2025 A. Simmons et al. 10.1016/j.asr.2016.03.008
58. Temporal comparison of global inventories of CO2 emissions from biomass burning during 2002–2011 derived from remotely sensed data Y. Shi & T. Matsunaga 10.1007/s11356-017-9141-z
59. Inferring regional sources and sinks of atmospheric CO<sub>2</sub> from GOSAT XCO<sub>2</sub> data F. Deng et al. 10.5194/acp-14-3703-2014
60. Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO 2 Retrievals H. Wang et al. 10.34133/2022/9816536
61. Algorithm update of the GOSAT/TANSO-FTS thermal infrared CO<sub>2</sub> product (version 1) and validation of the UTLS CO<sub>2</sub> data using CONTRAIL measurements N. Saitoh et al. 10.5194/amt-9-2119-2016
62. Global-Scale Evaluation of XCO2 Products from GOSAT, OCO-2 and CarbonTracker Using Direct Comparison and Triple Collocation Method Y. Chen et al. 10.3390/rs14225635
63. A comparison of posterior atmospheric CO<sub>2</sub> adjustments obtained from in situ and GOSAT constrained flux inversions S. Polavarapu et al. 10.5194/acp-18-12011-2018
64. Retrieval anthropogenic CO2 emissions from OCO-2 and comparison with gridded emission inventories C. Jin et al. 10.1016/j.jclepro.2024.141418
65. The Temporal and Spatial Distributions of the Near-Surface CO2 Concentrations in Central Asia and Analysis of Their Controlling Factors L. Cao et al. 10.3390/atmos8050085
66. How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
67. Atmospheric Simulations of Total Column CO2 Mole Fractions from Global to Mesoscale within the Carbon Monitoring System Flux Inversion Framework M. Butler et al. 10.3390/atmos11080787
68. Design and evaluation of CO<sub>2</sub> observation network to optimize surface CO<sub>2</sub> fluxes in Asia using observation system simulation experiments J. Park & H. Kim 10.5194/acp-20-5175-2020
69. Spatiotemporal Investigation of Near-Surface CO2 and Its Affecting Factors Over Asia F. Mustafa et al. 10.1109/TGRS.2022.3178125
70. Comparison of the data‐driven top‐down and bottom‐up global terrestrial CO2 exchanges: GOSAT CO2 inversion and empirical eddy flux upscaling M. Kondo et al. 10.1002/2014JG002866
71. Terrestrial ecosystem carbon flux estimated using GOSAT and OCO-2 XCO<sub>2</sub> retrievals H. Wang et al. 10.5194/acp-19-12067-2019
72. Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al. 10.1016/j.rse.2016.12.027
73. Towards spaceborne monitoring of localized CO<sub>2</sub> emissions: an instrument concept and first performance assessment J. Strandgren et al. 10.5194/amt-13-2887-2020
74. CO₂ Retrieval Using Thermal Infrared Radiation Observation by Interferometric Monitor for Greenhouse Gases (IMG) Onboard Advanced Earth Observing Satellite (ADEOS) Y. OTA & R. IMASU 10.2151/jmsj.2016-027
75. Country-scale trends in air pollution and fossil fuel CO2 emissions during 2001–2018: confronting the roles of national policies and economic growth R. Lei et al. 10.1088/1748-9326/abc9e1
76. The potential of clear-sky carbon dioxide satellite retrievals R. Nelson et al. 10.5194/amt-9-1671-2016
77. EOF-based regression algorithm for the fast retrieval of atmospheric CO2 total column amount from the GOSAT observations А. Bril et al. 10.1016/j.jqsrt.2016.12.005
78. Development of the empirical orthogonal functions-based algorithm for the retrievals of atmospheric CO2 total column amount from space-borne observations of reflected sunlight A. Bril & S. Maksyutov 10.1117/1.JRS.12.046012
79. Terrestrial ecosystem model studies and their contributions to AsiaFlux A. ITO & K. ICHII 10.2480/agrmet.D-20-00024
80. Simulating CO2 profiles using NIES TM and comparison with HIAPER Pole-to-Pole Observations C. Song et al. 10.1007/s11707-022-0997-y
81. Preface D. Lü & Y. Liu 10.1007/s11434-014-0313-7
82. Improved Constraints on Northern Extratropical CO2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO2 Measurements B. Byrne et al. 10.1029/2019JD032029
83. A Theoretical Analysis for Improving Aerosol-Induced CO2 Retrieval Uncertainties Over Land Based on TanSat Nadir Observations Under Clear Sky Conditions X. Chen et al. 10.3390/rs11091061
84. Consistency of seasonal variability in regional CO2 fluxes from GOSAT-IM, NASA-GEOS, and NOAA-CT M. Krishnapriya et al. 10.1007/s12040-022-01934-w
85. Interpreting Temporal Changes of Atmospheric CO2Over Fire Affected Regions Based on GOSAT Observations Y. Shi et al. 10.1109/LGRS.2016.2627056
86. A decadal inversion of CO₂ using the Global Eulerian–Lagrangian Coupled Atmospheric model (GELCA): sensitivity to the ground-based observation network T. Shirai et al. 10.1080/16000889.2017.1291158
87. Preliminary verification for application of a support vector machine-based cloud detection method to GOSAT-2 CAI-2 Y. Oishi et al. 10.5194/amt-11-2863-2018
88. Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States Q. Zhang et al. 10.1016/j.atmosenv.2020.118106
89. Development of a high-resolution spatial inventory of greenhouse gas emissions for Poland from stationary and mobile sources R. Bun et al. 10.1007/s11027-018-9791-2
90. Comparison of global inventories of CO2 emissions from biomass burning during 2002–2011 derived from multiple satellite products Y. Shi et al. 10.1016/j.envpol.2015.08.009
91. The impacts of fossil fuel emission uncertainties and accounting for 3-D chemical CO2 production on inverse natural carbon flux estimates from satellite and in situ data J. Wang et al. 10.1088/1748-9326/ab9795
92. ObsPack: a framework for the preparation, delivery, and attribution of atmospheric greenhouse gas measurements K. Masarie et al. 10.5194/essd-6-375-2014
93. Evaluating the Causal Relations between the Kaya Identity Index and ODIAC-Based Fossil Fuel CO2 Flux Y. Hwang et al. 10.3390/en13226009
94. An intercomparison of inverse models for estimating sources and sinks of CO2 using GOSAT measurements S. Houweling et al. 10.1002/2014JD022962
95. Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. 10.1088/1748-9326/11/10/105001
96. Bias assessment of lower and middle tropospheric CO<sub>2</sub> concentrations of GOSAT/TANSO-FTS TIR version 1 product N. Saitoh et al. 10.5194/amt-10-3877-2017
97. Computation and analysis of atmospheric carbon dioxide annual mean growth rates from satellite observations during 2003–2016 M. Buchwitz et al. 10.5194/acp-18-17355-2018
98. Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide T. Kaminski et al. 10.1016/j.rse.2017.08.017
99. Validation of XCO<sub>2</sub> derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data M. Inoue et al. 10.5194/acp-13-9771-2013
100. Spatio-temporal approach to moving window block kriging of satellite data v1.0 J. Tadić et al. 10.5194/gmd-10-709-2017
101. 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
102. Reconstructing high-resolution in-situ vertical carbon dioxide profiles in the sparsely monitored Asian monsoon region B. Vogel et al. 10.1038/s43247-023-00725-5
103. High-Resolution Geos-Chem Model for Indian Monsoon Region: Seasonal Cycle and Budget of Tropospheric Co2 S. Allahudheen et al. 10.2139/ssrn.4161842
104. Assessing the magnitude of CO2 flux uncertainty in atmospheric CO2 records using products from NASA's Carbon Monitoring Flux Pilot Project L. Ott et al. 10.1002/2014JD022411
105. The Open-source Data Inventory for Anthropogenic CO<sub>2</sub>, version 2016 (ODIAC2016): a global monthly fossil fuel CO<sub>2</sub> gridded emissions data product for tracer transport simulations and surface flux inversions T. Oda et al. 10.5194/essd-10-87-2018
106. Comparison of Regional Simulation of Biospheric CO2 Flux from the Updated Version of CarbonTracker Asia with FLUXCOM and Other Inversions over Asia S. Kenea et al. 10.3390/rs12010145
107. Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system P. Ciais et al. 10.5194/bg-11-3547-2014
108. Combining GOSAT XCO2 observations over land and ocean to improve regional CO2 flux estimates F. Deng et al. 10.1002/2015JD024157
109. Evaluation of vertical transport in ERA5 and ERA-Interim reanalysis using high-altitude aircraft measurements in the Asian summer monsoon 2017 B. Vogel et al. 10.5194/acp-24-317-2024
110. Interannual and Seasonal Cycles of CO2 from GOSAT and AIRS N. Ying et al. 10.1088/1755-1315/237/2/022003
111. Evaluation of Spatio-Temporal Variogram Models for Mapping Xco2Using Satellite Observations: A Case Study in China L. Guo et al. 10.1109/JSTARS.2014.2363019
112. Global Air–Sea CO2 Flux in 22 CMIP5 Models: Multiyear Mean and Interannual Variability* F. Dong et al. 10.1175/JCLI-D-14-00788.1
113. Improvement of the retrieval algorithm for GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> and their validation using TCCON data Y. Yoshida et al. 10.5194/amt-6-1533-2013
114. Inverse Modeling of CO₂ Fluxes Using GOSAT Data and Multi-Year Ground-Based Observations T. Saeki et al. 10.2151/sola.2013-011