108 citations as recorded by crossref.

1. Differential column measurements using compact solar-tracking spectrometers J. Chen et al. 10.5194/acp-16-8479-2016
2. Estimation of observation errors for large-scale atmospheric inversion of CO2 emissions from fossil fuel combustion Y. Wang et al. 10.1080/16000889.2017.1325723
3. XCO<sub>2</sub> in an emission hot-spot region: the COCCON Paris campaign 2015 F. Vogel et al. 10.5194/acp-19-3271-2019
4. Temporal variability in the sources and fluxes of CO2 in a residential area in an evergreen subtropical city L. Weissert et al. 10.1016/j.atmosenv.2016.08.044
5. Siting Background Towers to Characterize Incoming Air for Urban Greenhouse Gas Estimation: A Case Study in the Washington, DC/Baltimore Area K. Mueller et al. 10.1002/2017JD027364
6. Characterization of a commercial lower-cost medium-precision non-dispersive infrared sensor for atmospheric CO<sub>2</sub> monitoring in urban areas E. Arzoumanian et al. 10.5194/amt-12-2665-2019
7. Anthropogenic CO2 emissions from a megacity in the Yangtze River Delta of China C. Hu et al. 10.1007/s11356-018-2325-3
8. The BErkeley Atmospheric CO<sub>2</sub> Observation Network: initial evaluation A. Shusterman et al. 10.5194/acp-16-13449-2016
9. Far-field biogenic and anthropogenic emissions as a dominant source of variability in local urban carbon budgets: A global high-resolution model study with implications for satellite remote sensing A. Schuh et al. 10.1016/j.rse.2021.112473
10. Uncertainty analysis of a European high-resolution emission inventory of CO<sub>2</sub> and CO to support inverse modelling and network design I. Super et al. 10.5194/acp-20-1795-2020
11. Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
12. Tower-based greenhouse gas measurement network design—The National Institute of Standards and Technology North East Corridor Testbed I. Lopez-Coto et al. 10.1007/s00376-017-6094-6
13. The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
14. Fluxes of Atmospheric Greenhouse‐Gases in Maryland (FLAGG‐MD): Emissions of Carbon Dioxide in the Baltimore, MD‐Washington, D.C. Area D. Ahn et al. 10.1029/2019JD032004
15. Emerging reporting and verification needs under the Paris Agreement: How can the research community effectively contribute? L. Perugini et al. 10.1016/j.envsci.2021.04.012
16. Joint inverse estimation of fossil fuel and biogenic CO2 fluxes in an urban environment: An observing system simulation experiment to assess the impact of multiple uncertainties K. Wu et al. 10.1525/elementa.138
17. Accounting for urban biogenic fluxes in regional carbon budgets B. Hardiman et al. 10.1016/j.scitotenv.2017.03.028
18. Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO<sub>2</sub> emissions S. Feng et al. 10.5194/acp-16-9019-2016
19. Bayesian inverse estimation of urban CO2 emissions: Results from a synthetic data simulation over Salt Lake City, UT L. Kunik et al. 10.1525/elementa.375
20. The influence of near-field fluxes on seasonal carbon dioxide enhancements: results from the Indianapolis Flux Experiment (INFLUX) N. Miles et al. 10.1186/s13021-020-00166-z
21. Variation of carbon dioxide mole fraction at a typical urban area in the Yangtze River Delta, China S. Fang et al. 10.1016/j.atmosres.2021.105884
22. Diurnal Course of Carbon Dioxide Mixing Ratios in the Urban Boundary Layer in Response to Surface Emissions B. Crawford et al. 10.1175/JAMC-D-15-0060.1
23. Evaluation of the WRF-UCM mesoscale model and ECMWF global operational forecasts over the Paris region in the prospect of tracer atmospheric transport modeling J. Lian et al. 10.1525/elementa.319
24. Evaluation and environmental correction of ambient CO<sub>2</sub> measurements from a low-cost NDIR sensor C. Martin et al. 10.5194/amt-10-2383-2017
25. Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area I. Pisso et al. 10.1186/s13021-019-0118-8
26. Tracking city CO<sub>2</sub> emissions from space using a high-resolution inverse modelling approach: a case study for Berlin, Germany D. Pillai et al. 10.5194/acp-16-9591-2016
27. Optimizing the Spatial Resolution for Urban CO2 Flux Studies Using the Shannon Entropy J. Liang et al. 10.3390/atmos8050090
28. Diurnal, synoptic and seasonal variability of atmospheric CO<sub>2</sub> in the Paris megacity area I. Xueref-Remy et al. 10.5194/acp-18-3335-2018
29. Optimizing a dynamic fossil fuel CO<sub>2</sub> emission model with CTDAS (CarbonTracker Data Assimilation Shell, v1.0) for an urban area using atmospheric observations of CO<sub>2</sub>, CO, NO<sub><i>x</i></sub>, and SO<sub>2</sub> I. Super et al. 10.5194/gmd-13-2695-2020
30. Greenlite™: a year of carbon dioxide monitoring over paris, france, and recent progress in monitoring methane J. Dobler et al. 10.1051/epjconf/201817605013
31. Constraining Urban CO2 Emissions Using Mobile Observations from a Light Rail Public Transit Platform D. Mallia et al. 10.1021/acs.est.0c04388
32. Assessing the Effectiveness of an Urban CO2 Monitoring Network over the Paris Region through the COVID-19 Lockdown Natural Experiment J. Lian et al. 10.1021/acs.est.1c04973
33. MUCCnet: Munich Urban Carbon Column network F. Dietrich et al. 10.5194/amt-14-1111-2021
34. The Hestia fossil fuel CO<sub>2</sub> emissions data product for the Los Angeles megacity (Hestia-LA) K. Gurney et al. 10.5194/essd-11-1309-2019
35. Statistical characterization of urban CO2 emission signals observed by commercial airliner measurements T. Umezawa et al. 10.1038/s41598-020-64769-9
36. Government environmental control measures on CO2 emission during the 2014 Youth Olympic Games in Nanjing: Perspectives from a top-down approach C. Hu et al. 10.1016/j.jes.2021.04.016
37. VCSEL-Based Atmospheric Trace Gas Sensor Using First Harmonic Detection L. Lan et al. 10.1109/JSEN.2019.2901793
38. Spatial Modeling of Local‐Scale Biogenic and Anthropogenic Carbon Dioxide Emissions in Helsinki L. Järvi et al. 10.1029/2018JD029576
39. An atmospheric inversion over the city of Cape Town: sensitivity analyses A. Nickless et al. 10.5194/acp-19-7789-2019
40. A fast calibration algorithm for Non-Dispersive Infrared single channel carbon dioxide sensor based on deep learning K. Mao et al. 10.1016/j.comcom.2021.08.003
41. Self-Calibrated Multiharmonic CO2 Sensor Using VCSEL for Urban <italic>In Situ</italic> Measurement L. Lan et al. 10.1109/TIM.2018.2863445
42. A local- to national-scale inverse modeling system to assess the potential of spaceborne CO&lt;sub&gt;2&lt;/sub&gt; measurements for the monitoring of anthropogenic emissions D. Santaren et al. 10.5194/amt-14-403-2021
43. Carbon dioxide, methane and nitrous oxide emissions from the human-impacted Seine watershed in France A. Marescaux et al. 10.1016/j.scitotenv.2018.06.151
44. New York City greenhouse gas emissions estimated with inverse modeling of aircraft measurements J. Pitt et al. 10.1525/elementa.2021.00082
45. Reducing errors in aircraft atmospheric inversion estimates of point-source emissions: the Aliso Canyon natural gas leak as a natural tracer experiment S. Gourdji et al. 10.1088/1748-9326/aab049
46. Spatiotemporal patterns of the fossil-fuel CO&lt;sub&gt;2&lt;/sub&gt; signal in central Europe: results from a high-resolution atmospheric transport model Y. Liu et al. 10.5194/acp-17-14145-2017
47. Spatial Configuration of Energy Consumption and Carbon Emissions of Shanghai, and Our Policy Suggestions K. Pan et al. 10.3390/su9010104
48. On the potential of the ICOS atmospheric CO&lt;sub&gt;2&lt;/sub&gt; measurement network for estimating the biogenic CO&lt;sub&gt;2&lt;/sub&gt; budget of Europe N. Kadygrov et al. 10.5194/acp-15-12765-2015
49. Urban high-resolution fossil fuel CO2 emissions quantification and exploration of emission drivers for potential policy applications R. Patarasuk et al. 10.1007/s11252-016-0553-1
50. Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018 T. Klausner et al. 10.1525/elementa.411
51. A multi-model approach to monitor emissions of CO&lt;sub&gt;2&lt;/sub&gt; and CO from an urban–industrial complex I. Super et al. 10.5194/acp-17-13297-2017
52. Background conditions for an urban greenhouse gas network in the Washington, DC, and Baltimore metropolitan region A. Karion et al. 10.5194/acp-21-6257-2021
53. Analyzing Temporal and Spatial Characteristics and Determinant Factors of Energy-Related CO2 Emissions of Shanghai in China Using High-Resolution Gridded Data H. Zhu et al. 10.3390/su11174766
54. What would dense atmospheric observation networks bring to the quantification of city CO&lt;sub&gt;2&lt;/sub&gt; emissions? L. Wu et al. 10.5194/acp-16-7743-2016
55. Comparing a global high-resolution downscaled fossil fuel CO2 emission dataset to local inventory-based estimates over 14 global cities J. Chen et al. 10.1186/s13021-020-00146-3
56. Sensitivity to the sources of uncertainties in the modeling of atmospheric CO&lt;sub&gt;2&lt;/sub&gt; concentration within and in the vicinity of Paris J. Lian et al. 10.5194/acp-21-10707-2021
57. Anthropogenic and biogenic CO 2 fluxes in the Boston urban region M. Sargent et al. 10.1073/pnas.1803715115
58. Network design for quantifying urban CO&lt;sub&gt;2&lt;/sub&gt; emissions: assessing trade-offs between precision and network density A. Turner et al. 10.5194/acp-16-13465-2016
59. Wintertime CO2, CH4, and CO Emissions Estimation for the Washington, DC–Baltimore Metropolitan Area Using an Inverse Modeling Technique I. Lopez-Coto et al. 10.1021/acs.est.9b06619
60. Quantification of urban atmospheric boundary layer greenhouse gas dry mole fraction enhancements in the dormant season: Results from the Indianapolis Flux Experiment (INFLUX) N. Miles et al. 10.1525/elementa.127
61. The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: description and demonstration of capability B. Nathan et al. 10.5194/acp-21-14089-2021
62. Constraining Fossil Fuel CO 2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO 2 X. Ye et al. 10.1029/2019JD030528
63. The potential of satellite spectro-imagery for monitoring CO&lt;sub&gt;2&lt;/sub&gt; emissions from large cities G. Broquet et al. 10.5194/amt-11-681-2018
64. The potential of a constellation of low earth orbit satellite imagers to monitor worldwide fossil fuel CO2 emissions from large cities and point sources F. Lespinas et al. 10.1186/s13021-020-00153-4
65. Estimating vehicle carbon dioxide emissions from Boulder, Colorado, using horizontal path-integrated column measurements E. Waxman et al. 10.5194/acp-19-4177-2019
66. Exploration of the impact of nearby sources on urban atmospheric inversions using large eddy simulation B. Gaudet et al. 10.1525/elementa.247
67. Toward Accurate, Policy-Relevant Fossil Fuel CO2 Emission Landscapes K. Gurney et al. 10.1021/acs.est.0c01175
68. Bias correction of long-path CO&lt;sub&gt;2&lt;/sub&gt; observations in a complex urban environment for carbon cycle model inter-comparison and data assimilation T. Zaccheo et al. 10.5194/amt-12-5791-2019
69. The Facility Level and Area Methane Emissions inventory for the Greater Toronto Area (FLAME-GTA) N. Mostafavi Pak et al. 10.1016/j.atmosenv.2021.118319
70. The impact of temporal variability in prior emissions on the optimization of urban anthropogenic emissions of CO2, CH4 and CO using in-situ observations I. Super et al. 10.1016/j.aeaoa.2021.100119
71. Investigating sources of variability and error in simulations of carbon dioxide in an urban region C. Martin et al. 10.1016/j.atmosenv.2018.11.013
72. Atmospheric boundary layer CO_2 remote sensing with a direct detection LIDAR instrument based on a widely tunable optical parametric source E. Cadiou et al. 10.1364/OL.42.004044
73. High-resolution quantification of atmospheric CO&lt;sub&gt;2&lt;/sub&gt; mixing ratios in the Greater Toronto Area, Canada S. Pugliese et al. 10.5194/acp-18-3387-2018
74. Exploiting stagnant conditions to derive robust emission ratio estimates for CO&lt;sub&gt;2&lt;/sub&gt;, CO and volatile organic compounds in Paris L. Ammoura et al. 10.5194/acp-16-15653-2016
75. The CO&lt;sub&gt;2&lt;/sub&gt; integral emission by the megacity of St Petersburg as quantified from ground-based FTIR measurements combined with dispersion modelling D. Ionov et al. 10.5194/acp-21-10939-2021
76. Carbon dioxide and methane measurements from the Los Angeles Megacity Carbon Project – Part 1: calibration, urban enhancements, and uncertainty estimates K. Verhulst et al. 10.5194/acp-17-8313-2017
77. The Berkeley Environmental Air-quality and CO&lt;sub&gt;2&lt;/sub&gt; Network: field calibrations of sensor temperature dependence and assessment of network scale CO&lt;sub&gt;2&lt;/sub&gt; accuracy E. Delaria et al. 10.5194/amt-14-5487-2021
78. Top‐Down Constraints on Anthropogenic CO 2 Emissions Within an Agricultural‐Urban Landscape C. Hu et al. 10.1029/2017JD027881
79. Observation of column-averaged molar mixing ratios of carbon dioxide in Tokyo X. Qin et al. 10.1016/j.aeaoa.2019.100022
80. The first 1-year-long estimate of the Paris region fossil fuel CO&lt;sub&gt;2&lt;/sub&gt; emissions based on atmospheric inversion J. Staufer et al. 10.5194/acp-16-14703-2016
81. Assessment of Urban CO2 Measurement and Source Attribution in Munich Based on TDLAS-WMS and Trajectory Analysis L. Lan et al. 10.3390/atmos11010058
82. Analysis of the potential of near-ground measurements of CO&lt;sub&gt;2&lt;/sub&gt; and CH&lt;sub&gt;4&lt;/sub&gt; in London, UK, for the monitoring of city-scale emissions using an atmospheric transport model A. Boon et al. 10.5194/acp-16-6735-2016
83. Anthropogenic and natural controls on atmospheric &lt;i&gt;δ&lt;/i&gt;&lt;sup&gt;13&lt;/sup&gt;C-CO&lt;sub&gt;2&lt;/sub&gt; variations in the Yangtze River delta: insights from a carbon isotope modeling framework C. Hu et al. 10.5194/acp-21-10015-2021
84. Long-term urban carbon dioxide observations reveal spatial and temporal dynamics related to urban characteristics and growth L. Mitchell et al. 10.1073/pnas.1702393115
85. Observing local CO&lt;sub&gt;2&lt;/sub&gt; sources using low-cost, near-surface urban monitors A. Shusterman et al. 10.5194/acp-18-13773-2018
86. Tall tower eddy covariance measurements of CO2 fluxes in Vienna, Austria B. Matthews & H. Schume 10.1016/j.atmosenv.2022.118941
87. Estimates of CO&lt;sub&gt;2&lt;/sub&gt; fluxes over the city of Cape Town, South Africa, through Bayesian inverse modelling A. Nickless et al. 10.5194/acp-18-4765-2018
88. Sub-Daily Natural CO2 Flux Simulation Based on Satellite Data: Diurnal and Seasonal Pattern Comparisons to Anthropogenic CO2 Emissions in the Greater Tokyo Area Q. Wang et al. 10.3390/rs13112037
89. Estimation of fossil-fuel CO&lt;sub&gt;2&lt;/sub&gt; emissions using satellite measurements of &quot;proxy&quot; species I. Konovalov et al. 10.5194/acp-16-13509-2016
90. Evaluation of the Potential Use of Satellite-Derived XCO2 in Detecting CO2 Enhancement in Megacities with Limited Ground Observations: A Case Study in Seoul Using Orbiting Carbon Observatory-2 C. Park et al. 10.1007/s13143-020-00202-5
91. A Comparative Analysis of Anthropogenic CO 2 Emissions at City Level Using OCO‐2 Observations: A Global Perspective P. Fu et al. 10.1029/2019EF001282
92. The Indianapolis Flux Experiment (INFLUX): A test-bed for developing urban greenhouse gas emission measurements K. Davis et al. 10.1525/elementa.188
93. Analysis of temporal and spatial variability of atmospheric CO&lt;sub&gt;2&lt;/sub&gt; concentration within Paris from the GreenLITE™ laser imaging experiment J. Lian et al. 10.5194/acp-19-13809-2019
94. The Utah urban carbon dioxide (UUCON) and Uintah Basin greenhouse gas networks: instrumentation, data, and measurement uncertainty R. Bares et al. 10.5194/essd-11-1291-2019
95. Source Sector Attribution of CO 2 Emissions Using an Urban CO/CO 2 Bayesian Inversion System B. Nathan et al. 10.1029/2018JD029231
96. High‐resolution atmospheric inversion of urban CO 2 emissions during the dormant season of the Indianapolis Flux Experiment (INFLUX) T. Lauvaux et al. 10.1002/2015JD024473
97. Urban−rural gradients reveal joint control of elevated CO2 and temperature on extended photosynthetic seasons S. Wang et al. 10.1038/s41559-019-0931-1
98. A global map of emission clumps for future monitoring of fossil fuel CO&lt;sub&gt;2&lt;/sub&gt; emissions from space Y. Wang et al. 10.5194/essd-11-687-2019
99. Interpreting continuous in-situ observations of carbon dioxide and carbon monoxide in the urban port area of Rotterdam I. Super et al. 10.1016/j.apr.2016.08.008
100. PMIF v1.0: assessing the potential of satellite observations to constrain CO&lt;sub&gt;2&lt;/sub&gt; emissions from large cities and point sources over the globe using synthetic data Y. Wang et al. 10.5194/gmd-13-5813-2020
101. Assessment of urban CO2 budget: Anthropogenic and biogenic inputs Y. Bezyk et al. 10.1016/j.uclim.2021.100949
102. GreenHouse gas Observations of the Stratosphere and Troposphere (GHOST): an airborne shortwave-infrared spectrometer for remote sensing of greenhouse gases N. Humpage et al. 10.5194/amt-11-5199-2018
103. Comparison of the genetic algorithm and incremental optimisation routines for a Bayesian inverse modelling based network design A. Nickless et al. 10.1088/1361-6420/aab46c
104. Statistical atmospheric inversion of local gas emissions by coupling the tracer release technique and local-scale transport modelling: a test case with controlled methane emissions S. Ars et al. 10.5194/amt-10-5017-2017
105. Validation of WRF-Chem Model and CAMS Performance in Estimating Near-Surface Atmospheric CO2 Mixing Ratio in the Area of Saint Petersburg (Russia) G. Nerobelov et al. 10.3390/atmos12030387
106. Atmospheric measurements of ratios between CO&lt;sub&gt;2&lt;/sub&gt; and co-emitted species from traffic: a tunnel study in the Paris megacity L. Ammoura et al. 10.5194/acp-14-12871-2014
107. What is the role for carbon cycle science in the proposed EPA power plant rule? K. Gurney 10.1186/s40322-015-0028-1
108. Aerosol lidar observations of atmospheric mixing in Los Angeles: Climatology and implications for greenhouse gas observations J. Ware et al. 10.1002/2016JD024953