104 citations as recorded by crossref.

1. Southern California megacity CO2, CH4, and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model J. Hedelius et al.
2. Observing Anthropogenic and Biogenic CO2 Emissions in Los Angeles Using a Dense Sensor Network J. Kim et al.
3. A mesoscopic model of vehicular emissions informed by direct measurements and mobility science A. Öztürk et al.
4. High-performance machine-learning-based calibration of low-cost nitrogen dioxide sensor using environmental parameter differentials and global data scaling S. Koziel et al.
5. Recovery of sparse urban greenhouse gas emissions B. Zanger et al.
6. An Interpolation Method to Reduce the Computational Time in the Stochastic Lagrangian Particle Dispersion Modeling of Spatially Dense XCO2 Retrievals D. Roten et al.
7. Tall tower eddy covariance measurements of CO2 fluxes in Vienna, Austria B. Matthews & H. Schume
8. Integration and calibration of non-dispersive infrared (NDIR) CO2 low-cost sensors and their operation in a sensor network covering Switzerland M. Müller et al.
9. Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al.
10. Cost-Efficient measurement platform and machine-learning-based sensor calibration for precise NO2 pollution monitoring A. Pietrenko-Dabrowska et al.
11. Monitoring of greenhouse gases and pollutants across an urban area using a light-rail public transit platform L. Mitchell et al.
12. A city-level comparison of fossil-fuel and industry processes-induced CO2 emissions over the Beijing-Tianjin-Hebei region from eight emission inventories P. Han et al.
13. Expected Performance of a Mobile e-nose platform for Real Time Victim Localization S. Blionas
14. Sustained Performance of Low-Cost Air Quality Sensors in Long-Term Deployments A. Winter et al.
15. Low-Cost Sensor Performance Intercomparison, Correction Factor Development, and 2+ Years of Ambient PM2.5 Monitoring in Accra, Ghana G. Raheja et al.
16. 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.
17. Deployment and evaluation of a low-cost sensor system for atmospheric CO2 monitoring on a sea–air interface buoy J. Liu et al.
18. A portable sensor for the determination of tree canopy air quality W. Berelson et al.
19. Monitoring Urban Greenhouse Gases Using Open-Path Fourier Transform Spectroscopy B. Byrne et al.
20. Mapping trends and analyzing key themes in low-cost sensors for air quality monitoring K. Alhasa et al.
21. MUCCnet: Munich Urban Carbon Column network F. Dietrich et al.
22. Graph attention network-based multi-source data fusion for atmospheric CO 2 concentrations estimation D. Bao et al.
23. Carbon dioxide and methane measurements from the Los Angeles Megacity Carbon Project – Part 1: calibration, urban enhancements, and uncertainty estimates K. Verhulst et al.
24. Low-Cost Air Quality Monitoring Tools: From Research to Practice (A Workshop Summary) A. Clements et al.
25. Toward Establishing a Low-cost UAV Coordinated Carbon Observation Network (LUCCN): First Integrated Campaign in China D. Yang et al.
26. Statistical data pre-processing and time series incorporation for high-efficacy calibration of low-cost NO2 sensor using machine learning S. Koziel et al.
27. Plume Detection and Emissions Quantification Potential Using a Dense Sensor Network M. Patel et al.
28. Towards a hygroscopic growth calibration for low-cost PM2.5 sensors M. Patel et al.
29. 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.
30. COCAP: a carbon dioxide analyser for small unmanned aircraft systems M. Kunz et al.
31. Modeling the Atmospheric CO2 Concentration in the Beijing Region and Assessing the Impacts of Fossil Fuel Emissions Z. Liang et al.
32. Wireless Sensor Node Self-Powered by a Hybrid-Supercapacitor and a Multi-Junction Solar Module M. Bruzzi et al.
33. ACROPOLIS: Munich urban CO2 sensor network P. Aigner et al.
34. Using a gradient boosting model to improve the performance of low-cost aerosol monitors in a dense, heterogeneous urban environment N. Johnson et al.
35. Optimising Citizen-Driven Air Quality Monitoring Networks for Cities S. Gupta et al.
36. An Analysis on the Performance of a Mobile Platform with Gas Sensors for Real Time Victim Localization A. Anyfantis & S. Blionas
37. An overview of outdoor low-cost gas-phase air quality sensor deployments: current efforts, trends, and limitations K. Okorn & L. Iraci
38. Plume analysis from field evaluations of a portable air quality monitoring system J. Marto et al.
39. Spatial Statistical Downscaling for Constructing High-Resolution Nature Runs in Global Observing System Simulation Experiments P. Ma et al.
40. Long-term urban carbon dioxide observations reveal spatial and temporal dynamics related to urban characteristics and growth L. Mitchell et al.
41. Observed Impacts of COVID‐19 on Urban CO2 Emissions A. Turner et al.
42. Machine-learning-based precise cost-efficient NO2 sensor calibration by means of time series matching and global data pre-processing S. Koziel et al.
43. Mapping pollution exposure and chemistry during an extreme air quality event (the 2018 Kīlauea eruption) using a low-cost sensor network B. Crawford et al.
44. Ventilation rates in California classrooms: Why many recent HVAC retrofits are not delivering sufficient ventilation W. Chan et al.
45. Characterization of a commercial lower-cost medium-precision non-dispersive infrared sensor for atmospheric CO2 monitoring in urban areas E. Arzoumanian et al.
46. Detecting Urban Emissions Changes and Events With a Near‐Real‐Time‐Capable Inversion System J. Ware et al.
47. Constraining Sector‐Specific CO2 Fluxes Using Space‐Based XCO2 Observations Over the Los Angeles Basin D. Roten et al.
48. Calibrations of Low-Cost Air Pollution Monitoring Sensors for CO, NO2, O3, and SO2 P. Han et al.
49. Estimation of cucumber net primary production using environmental and control information in a smart multi-span plastic greenhouse M. Kang et al.
50. An open-path observatory for greenhouse gases based on near-infrared Fourier transform spectroscopy T. Schmitt et al.
51. Evaluation of version 3.0B of the BEHR OMI NO2 product J. Laughner et al.
52. 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.
53. Monitoring of hourly carbon dioxide concentration under different land use types in arid ecosystem K. Biro Turk et al.
54. High-Resolution Modeling and Apportionment of Diesel-Related Contributions to Black Carbon Concentrations S. Hamilton & R. Harley
55. Estimating vehicle carbon dioxide emissions from Boulder, Colorado, using horizontal path-integrated column measurements E. Waxman et al.
56. 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.
57. A Scalable Calibration Method for Enhanced Accuracy in Dense Air Quality Monitoring Networks A. Winter et al.
58. Electrochemical sensors on board a Zeppelin NT: in-flight evaluation of low-cost trace gas measurements T. Schuldt et al.
59. Comprehensive Monitoring of Air Pollution Hotspots Using Sparse Sensor Networks A. Bhardwaj et al.
60. High-resolution greenhouse gas flux inversions using a machine learning surrogate model for atmospheric transport N. Dadheech et al.
61. Observing local CO2 sources using low-cost, near-surface urban monitors A. Shusterman et al.
62. Building-resolving simulations of anthropogenic and biospheric CO2 in the city of Zurich with GRAMM/GRAL D. Brunner et al.
63. Current Status of the Climate Change Impact Assessment System in Korea and Its Linkage with Urban Greenhouse Gas Observation for Sustainability: A Systematic Review and Case S. Jung & J. Lee
64. The BErkeley Atmospheric CO2 Observation Network: field calibration and evaluation of low-cost air quality sensors J. Kim et al.
65. Computationally efficient methods for large-scale atmospheric inverse modeling T. Cho et al.
66. Observed decreases in on-road CO2 concentrations in Beijing during COVID-19 restrictions D. Liu et al.
67. Suggestion of an analysis methodology for urban CO2 concentrations using the SNUCO2M monitoring network Y. Kim & S. Jeong
68. Background conditions for an urban greenhouse gas network in the Washington, DC, and Baltimore metropolitan region A. Karion et al.
69. Simulating out-of-sample atmospheric transport to enable flux inversions N. Dadheech & A. Turner
70. Evaluation and environmental correction of ambient CO2 measurements from a low-cost NDIR sensor C. Martin et al.
71. On the Large Variation in Atmospheric CO2 Concentration at Shangdianzi GAW Station during Two Dust Storm Events in March 2021 X. Li et al.
72. Spatial-Temporal Analysis of PM2.5 and NO2 Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico S. Reece et al.
73. Influence of dataset density on CO2 and CH4 trend calculation I. Pérez et al.
74. Challenges in Monitoring Atmospheric CO2 Concentrations in Seoul Using Low-Cost Sensors C. Park et al.
75. Stationary and portable multipollutant monitors for high-spatiotemporal-resolution air quality studies including online calibration C. Buehler et al.
76. Observing System Choice Can Minimize Interference of the Biosphere in Studies of Urban CO2 Emissions R. Lal & E. Kort
77. A novel cluster-based learning scheme to design optimal networks for atmospheric greenhouse gas monitoring (CRO2A version 1.0) D. Matajira-Rueda et al.
78. Social Impact Assessment of HealthyAIR Tool for Real-Time Detection of Pollution Risk A. Moreno Cano et al.
79. Analysis of anthropogenic CO2 emission uncertainty and influencing factors at city scale in Yangtze River Delta region: One of the world's largest emission hotspots H. Liu et al.
80. Compact Non-Dispersive Infrared Multi-Gas Sensing Platform for Large Scale Deployment with Sub-ppm Resolution B. Wastine et al.
81. The ZiCOS-M CO2 sensor network: measurement performance and CO2 variability across Zurich S. Grange et al.
82. The Zurich Low-cost CO2 sensor network (ZiCOS-L): data processing, performance assessment and analysis of spatial and temporal CO2 dynamics L. Creman et al.
83. Observational Inferences of NOx and CO Emission Factors for Vehicles and Homes in the San Francisco Bay Area Y. Zhu et al.
84. Evaluation of Low-Cost CO2 Sensors Using Reference Instruments and Standard Gases for Indoor Use Q. Cai et al.
85. Climate mitigation policies for cities must consider air quality impacts R. Commane & L. Schiferl
86. Spatial and temporal variations of CO2 mole fractions observed at Beijing, Xianghe, and Xinglong in North China Y. Yang et al.
87. Breathe Providence: an integrated approach to siting a low-cost air monitoring network G. Berg et al.
88. On Memory-Based Precise Calibration of Cost-Efficient NO2 Sensor Using Artificial Intelligence and Global Response Correction S. Koziel et al.
89. Machine learning-based land-use regression models for predicting carbon dioxide concentrations in San Francisco Bay area A. Smith et al.
90. A Network of Field-Calibrated Low-Cost Sensor Measurements of PM2.5 in Lomé, Togo, Over One to Two Years G. Raheja et al.
91. A method for using stationary networks to observe long-term trends of on-road emission factors of primary aerosol from heavy-duty vehicles H. Fitzmaurice & R. Cohen
92. Observing Annual Trends in Vehicular CO2 Emissions J. Kim et al.
93. Effects of Environmental Factors on the Performance of Ground-Based Low-Cost CO2 Sensors X. Ren et al.
94. Proof of concept apparatus for the design of a simple, low cost, mobile e-nose for real-time victim localization (human presence) based on indoor air quality monitoring sensors A. Anyfantis & S. Blionas
95. Monitoring Excess Exposure to Air Pollution for Professional Drivers in London Using Low-Cost Sensors L. Frederickson et al.
96. A multi-city urban atmospheric greenhouse gas measurement data synthesis L. Mitchell et al.
97. FootNet v1.0: development of a machine learning emulator of atmospheric transport T. He et al.
98. The Enhancement and Variation in the Carbon Dioxide Concentration in a Typical Industrial Park in the Northern China Q. Cai et al.
99. Modeling fine-grained spatio-temporal pollution maps with low-cost sensors S. Iyer et al.
100. Nitrogen Dioxide Monitoring by Means of a Low-Cost Autonomous Platform and Sensor Calibration via Machine Learning with Global Data Correlation Enhancement S. Koziel et al.
101. Constraining Urban CO2 Emissions Using Mobile Observations from a Light Rail Public Transit Platform D. Mallia et al.
102. Development of a small unmanned aircraft system to derive CO2 emissions of anthropogenic point sources M. Reuter et al.
103. A 30-month field evaluation of low-cost CO2 sensors using a reference instrument Q. Cai et al.
104. Assessing vehicle fuel efficiency using a dense network of CO2 observations H. Fitzmaurice et al.