75 citations as recorded by crossref.

1. Evaluation and environmental correction of ambient CO2 measurements from a low-cost NDIR sensor C. Martin et al.
2. Local-scale inversion of agricultural ammonia emissions: a case study on Schiermonnikoog, the Netherlands S. Li et al.
3. Simulating atmospheric tracer concentrations for spatially distributed receptors: updates to the Stochastic Time-Inverted Lagrangian Transport model's R interface (STILT-R version 2) B. Fasoli et al.
4. Constraining Urban CO2 Emissions Using Mobile Observations from a Light Rail Public Transit Platform D. Mallia et al.
5. Improving data reliability: A quality control practice for low-cost PM2.5 sensor network X. Qiao et al.
6. Bayesian inverse estimation of urban CO2 emissions: Results from a synthetic data simulation over Salt Lake City, UT L. Kunik et al.
7. Observing Annual Trends in Vehicular CO2 Emissions J. Kim et al.
8. Background Characteristics and Influence Analysis of Greenhouse Gases at Jinsha Atmospheric Background Station in China D. Wu et al.
9. Mobile Observations of Intracity Variations in Atmospheric CO2 and CH4 J. Wang et al.
10. Plume Detection and Emissions Quantification Potential Using a Dense Sensor Network M. Patel et al.
11. Toward Establishing a Low-cost UAV Coordinated Carbon Observation Network (LUCCN): First Integrated Campaign in China D. Yang et al.
12. Deliberating performance targets workshop: Potential paths for emerging PM2.5 and O3 air sensor progress R. Williams et al.
13. A global map of emission clumps for future monitoring of fossil fuel CO2 emissions from space Y. Wang et al.
14. Simulating out-of-sample atmospheric transport to enable flux inversions N. Dadheech & A. Turner
15. Anthropogenic and natural controls on atmospheric δ13C-CO2 variations in the Yangtze River delta: insights from a carbon isotope modeling framework C. Hu et al.
16. A fast calibration algorithm for Non-Dispersive Infrared single channel carbon dioxide sensor based on deep learning K. Mao et al.
17. The Berkeley Environmental Air-quality and CO2 Network: field calibrations of sensor temperature dependence and assessment of network scale CO2 accuracy E. Delaria et al.
18. A Method for Estimating the Background Column Concentration of CO2 Using the Lagrangian Approach Z. Pei et al.
19. Modeling Ozone in the Eastern U.S. using a Fuel-Based Mobile Source Emissions Inventory B. McDonald et al.
20. Social Impact Assessment of HealthyAIR Tool for Real-Time Detection of Pollution Risk A. Moreno Cano et al.
21. Southern California megacity CO2, CH4, and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model J. Hedelius et al.
22. Evaluation of Low-Cost CO2 Sensors Using Reference Instruments and Standard Gases for Indoor Use Q. Cai et al.
23. Net CO2 fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes A. Babenhauserheide et al.
24. Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al.
25. Designing an Atmospheric Monitoring Network to Verify National CO2 Emissions S. Sim et al.
26. ACROPOLIS: Munich urban CO2 sensor network P. Aigner et al.
27. Observing local CO2 sources using low-cost, near-surface urban monitors A. Shusterman et al.
28. Tall tower eddy covariance measurements of CO2 fluxes in Vienna, Austria B. Matthews & H. Schume
29. Source decomposition of eddy-covariance CO2 flux measurements for evaluating a high-resolution urban CO2 emissions inventory K. Wu et al.
30. A Dynamic Evolutionary Analysis of the Vulnerability of Global Food Trade Networks H. Xu et al.
31. 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.
32. The ZiCOS-M CO2 sensor network: measurement performance and CO2 variability across Zurich S. Grange et al.
33. High-resolution greenhouse gas flux inversions using a machine learning surrogate model for atmospheric transport N. Dadheech et al.
34. Networked Low-Cost Sensor Systems for Urban Air Quality Monitoring: A Long-Term Use-Case in Bari (Italy) M. Penza et al.
35. Leveraging wide snapshot XCO2 pre-training to estimate urban fossil fuel CO2 emissions from space Z. Wang et al.
36. Characterization of a commercial lower-cost medium-precision non-dispersive infrared sensor for atmospheric CO2 monitoring in urban areas E. Arzoumanian et al.
37. Detection of fossil fuel emission trends in the presence of natural carbon cycle variability Y. Yin et al.
38. A methane monitoring station siting method based on WRF-STILT and genetic algorithm L. Fan et al.
39. Long open-path measurements of greenhouse gases in air using near-infrared Fourier transform spectroscopy D. Griffith et al.
40. Assessing the capability of different satellite observing configurations to resolve the distribution of methane emissions at kilometer scales A. Turner et al.
41. Monitoring Greenhouse Gases in the Open Atmosphere by the Fourier Spectroscopy Method I. Golyak et al.
42. Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model X. Zhao et al.
43. Мониторинг парниковых газов в открытой атмосфере методом фурье-спектроскопии И. Голяк et al.
44. Open-data-based city-scale gridded carbon dioxide emission inventory: supporting urban carbon monitoring in Chengdu, China R. Wang et al.
45. Development and deployment of a mid-cost CO2 sensor monitoring network to support atmospheric inverse modeling for quantifying urban CO2 emissions in Paris J. Lian et al.
46. Bayesian inversion of urban sectoral scale anthropogenic CO 2 emissions coupled with weather research and forecasting (WRF) and stochastic time-inverted lagrangian transport (STILT) models in Chengdu-Chongqing economic circle Z. Xia et al.
47. Optimising urban measurement networks for CO2 flux estimation: a high-resolution observing system simulation experiment using GRAMM/GRAL S. Vardag & R. Maiwald
48. Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions K. Wu et al.
49. Atmospheric anthropogenic CO2 variations observed by tower in-situ measurements and simulated by the STILT model in the Beijing megacity region H. Yang et al.
50. Multi-year observations of variable incomplete combustion in the New York megacity L. Schiferl et al.
51. Site selection and effects of background towers on urban CO2 estimates: A case study from central downtown Zhengzhou in China G. Ren et al.
52. Working towards confident spaceborne monitoring of carbon emissions from cities using Orbiting Carbon Observatory-2 L. Labzovskii et al.
53. A 30-month field evaluation of low-cost CO2 sensors using a reference instrument Q. Cai et al.
54. Effects of Environmental Factors on the Performance of Ground-Based Low-Cost CO2 Sensors X. Ren et al.
55. Anthropogenic CO2 emissions from a megacity in the Yangtze River Delta of China C. Hu et al.
56. Monitoring Excess Exposure to Air Pollution for Professional Drivers in London Using Low-Cost Sensors L. Frederickson et al.
57. Exploring the Potential of Using Carbonyl Sulfide to Track the Urban Biosphere Signal G. Villalba et al.
58. Assessing vehicle fuel efficiency using a dense network of CO2 observations H. Fitzmaurice et al.
59. Detecting Urban Emissions Changes and Events With a Near‐Real‐Time‐Capable Inversion System J. Ware et al.
60. 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.
61. Sustained Reductions of Bay Area CO2 Emissions 2018–2022 N. Asimow et al.
62. Compact Non-Dispersive Infrared Multi-Gas Sensing Platform for Large Scale Deployment with Sub-ppm Resolution B. Wastine et al.
63. Application of Unmanned Aerial Vehicle Observation for Estimating City-Scale Anthropogenic CO2 Emissions: A Case Study in Chengdu, Southwestern China X. Xiang et al.
64. Performance evaluation of light weight gas sensor system suitable for airborne applications against co-location gas analysers over Delhi A. Ahlawat et al.
65. Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al.
66. Quantifying factory-scale CO2/CH4 emission based on mobile measurements and EMISSION-PARTITION model: cases in China T. Shi et al.
67. Observing Anthropogenic and Biogenic CO2 Emissions in Los Angeles Using a Dense Sensor Network J. Kim et al.
68. Estimations of Wind Direction and CO2 Emissions From Power Plants With DaQi-1 Satellite X. Cao et al.
69. 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.
70. The BErkeley Atmospheric CO2 Observation Network: initial evaluation A. Shusterman et al.
71. Top‐Down Constraints on Anthropogenic CO2 Emissions Within an Agricultural‐Urban Landscape C. Hu et al.
72. A mesoscopic model of vehicular emissions informed by direct measurements and mobility science A. Öztürk et al.
73. 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.
74. Estimating vehicle carbon dioxide emissions from Boulder, Colorado, using horizontal path-integrated column measurements E. Waxman et al.
75. Observed Impacts of COVID‐19 on Urban CO2 Emissions A. Turner et al.