62 citations as recorded by crossref.

1. The Use of Gaussian Mixture Models with Atmospheric Lagrangian Particle Dispersion Models for Density Estimation and Feature Identification A. Crawford 10.3390/atmos11121369
2. Wintertime Nitrous Oxide Emissions in the San Joaquin Valley of California Estimated from Aircraft Observations S. Herrera et al. 10.1021/acs.est.0c08418
3. Wildfire plumes in the Western US are reaching greater heights and injecting more aerosols aloft as wildfire activity intensifies T. Wilmot et al. 10.1038/s41598-022-16607-3
4. Enhanced aerosol particle growth sustained by high continental chlorine emission in India S. Gunthe et al. 10.1038/s41561-020-00677-x
5. Space-based quantification of per capita CO2 emissions from cities D. Wu et al. 10.1088/1748-9326/ab68eb
6. Spatial attribution of aircraft mass balance experiment CO2 estimations for policy-relevant boundaries: New York City J. Tomlin et al. 10.1525/elementa.2023.00046
7. 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
8. Synthesis of Methane Observations Across Scales: Strategies for Deploying a Multitiered Observing Network D. Cusworth et al. 10.1029/2020GL087869
9. Cascading Delays in the Monsoon Rice Growing Season and Postmonsoon Agricultural Fires Likely Exacerbate Air Pollution in North India T. Liu et al. 10.1029/2022JD036790
10. A prototype of a micro-scale model for the distribution of NO2 in urban areas I. de-Pouplana et al. 10.1016/j.apr.2023.101668
11. Rapid growth and high cloud-forming potential of anthropogenic sulfate aerosol in a thermal power plant plume during COVID lockdown in India A. Singh et al. 10.1038/s41612-023-00430-2
12. Chemical Characterization and Source Apportionment of Organic Aerosols in the Coastal City of Chennai, India: Impact of Marine Air Masses on Aerosol Chemical Composition and Potential for Secondary Organic Aerosol Formation S. Kommula et al. 10.1021/acsearthspacechem.1c00276
13. Anthropogenic carbon dioxide origin tracing study in Anmyeon-do, South Korea: Based on STILT-footprint and emissions data J. Kim et al. 10.1016/j.scitotenv.2023.164677
14. Acceleration of state–space method based on parallelization for enhancing building thermal process simulation efficiency F. Bu et al. 10.1016/j.enbuild.2023.113600
15. Declining methane emissions and steady, high leakage rates observed over multiple years in a western US oil/gas production basin J. Lin et al. 10.1038/s41598-021-01721-5
16. A model for urban biogenic CO<sub>2</sub> fluxes: Solar-Induced Fluorescence for Modeling Urban biogenic Fluxes (SMUrF v1) D. Wu et al. 10.5194/gmd-14-3633-2021
17. A Lagrangian approach towards extracting signals of urban CO<sub>2</sub> emissions from satellite observations of atmospheric column CO<sub>2</sub> (XCO<sub>2</sub>): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) D. Wu et al. 10.5194/gmd-11-4843-2018
18. “Urban Respiration” Revealed by Atmospheric O2 Measurements in an Industrial Metropolis X. Liu et al. 10.1021/acs.est.2c07583
19. Latitudinal distribution and sources analysis of greenhouse gases and air pollutants observed during the 2021 Yellow Sea Air Quality campaign aboard a research vessel S. Li et al. 10.1016/j.atmosenv.2023.120201
20. Transboundary transport of ozone pollution to a US border region: A case study of Yuma Z. Qu et al. 10.1016/j.envpol.2020.116421
21. Can We Detect Urban‐Scale CO2 Emission Changes Within Medium‐Sized Cities? D. Mallia et al. 10.1029/2023JD038686
22. Characteristics of STILT footprints driven by KIM model simulated meteorological fields: implication for developing near real-time footprints S. Kenea et al. 10.1007/s44273-023-00016-7
23. Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
24. Estimation of Anthropogenic CH4 and CO2 Emissions in Taiyuan‐Jinzhong Region: One of the World's Largest Emission Hotspots C. Hu et al. 10.1029/2022JD037915
25. Designing an Atmospheric Monitoring Network to Verify National CO2 Emissions S. Sim et al. 10.1007/s13143-023-00343-3
26. Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al. 10.5194/acp-22-14547-2022
27. Constraining Urban CO2 Emissions Using Mobile Observations from a Light Rail Public Transit Platform D. Mallia et al. 10.1021/acs.est.0c04388
28. Synthesis of Satellite and Surface Measurements, Model Results, and FRAPPÉ Study Findings to Assess the Impacts of Oil and Gas Emissions Reductions on Maximum Ozone in the Denver Metro and Northern Front Range Region in Colorado P. Reddy 10.1029/2023EA002917
29. Characterization of Regional Combustion Efficiency using ΔXCO: ΔXCO2 Observed by a Portable Fourier-Transform Spectrometer at an Urban Site in Beijing K. Che et al. 10.1007/s00376-022-1247-7
30. A multi-city urban atmospheric greenhouse gas measurement data synthesis L. Mitchell et al. 10.1038/s41597-022-01467-3
31. Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions K. Wu et al. 10.3390/rs15204904
32. Aeolian Dust and Sea Salt in Marine Aerosols over the Arabian Sea during the Southwest Monsoon: Sources and Spatial Variability M. Aswini et al. 10.1021/acsearthspacechem.1c00400
33. A simplified non-linear chemistry transport model for analyzing NO2 column observations: STILT–NOx D. Wu et al. 10.5194/gmd-16-6161-2023
34. Testing HYSPLIT Plume Dispersion Model Performance Using Regional Hydrocarbon Monitoring Data during a Gas Well Blowout G. Schade & M. Gregg 10.3390/atmos13030486
35. On-road mobile mapping of spatial variations and source contributions of ammonia in Beijing, China W. Pu et al. 10.1016/j.scitotenv.2022.160869
36. Characterizing Elevated Urban Air Pollutant Spatial Patterns with Mobile Monitoring in Houston, Texas D. Miller et al. 10.1021/acs.est.9b05523
37. Crop residue burning practices across north India inferred from household survey data: Bridging gaps in satellite observations T. Liu et al. 10.1016/j.aeaoa.2020.100091
38. Anthropogenic CO2 emissions assessment of Nile Delta using XCO2 and SIF data from OCO-2 satellite A. Shekhar et al. 10.1088/1748-9326/ab9cfe
39. New York City greenhouse gas emissions estimated with inverse modeling of aircraft measurements J. Pitt et al. 10.1525/elementa.2021.00082
40. Observed Impacts of COVID‐19 on Urban CO2 Emissions A. Turner et al. 10.1029/2020GL090037
41. Strong methane point sources contribute a disproportionate fraction of total emissions across multiple basins in the United States D. Cusworth et al. 10.1073/pnas.2202338119
42. Prediction of Satellite-Based Column CO2 Concentration by Combining Emission Inventory and LULC Information S. Bhattacharjee & J. Chen 10.1109/TGRS.2020.2985047
43. Estimating vehicle carbon dioxide emissions from Boulder, Colorado, using horizontal path-integrated column measurements E. Waxman et al. 10.5194/acp-19-4177-2019
44. 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
45. Atmospheric Dust Deposition Varies by Season and Elevation in the Colorado Front Range, USA R. Heindel et al. 10.1029/2019JF005436
46. Urban-focused satellite CO2 observations from the Orbiting Carbon Observatory-3: A first look at the Los Angeles megacity M. Kiel et al. 10.1016/j.rse.2021.112314
47. Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model X. Zhao et al. 10.5194/acp-23-14325-2023
48. Lagrangian inversion of anthropogenic CO2 emissions from Beijing using differential column measurements K. Che et al. 10.1088/1748-9326/ac7477
49. Effects of point source emission heights in WRF–STILT: a step towards exploiting nocturnal observations in models F. Maier et al. 10.5194/gmd-15-5391-2022
50. Relative flux measurements of biogenic and natural gas-derived methane for seven U.S. cities C. Floerchinger et al. 10.1525/elementa.2021.000119
51. Observing System Choice Can Minimize Interference of the Biosphere in Studies of Urban CO2 Emissions R. Lal & E. Kort 10.1029/2022JD037452
52. Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework T. Jones et al. 10.5194/acp-21-13131-2021
53. Open‐Path Dual‐Comb Spectroscopy for Multispecies Trace Gas Detection in the 4.5–5 µm Spectral Region F. Giorgetta et al. 10.1002/lpor.202000583
54. Towards hyperlocal source identification of pollutants in cities by combining mobile measurements with atmospheric modeling J. Lin et al. 10.1016/j.atmosenv.2023.119995
55. An Interpolation Method to Reduce the Computational Time in the Stochastic Lagrangian Particle Dispersion Modeling of Spatially Dense XCO2 Retrievals D. Roten et al. 10.1029/2020EA001343
56. A machine learning emulator for Lagrangian particle dispersion model footprints: a case study using NAME E. Fillola et al. 10.5194/gmd-16-1997-2023
57. Detecting high-emitting methane sources in oil/gas fields using satellite observations D. Cusworth et al. 10.5194/acp-18-16885-2018
58. Wildfire activity is driving summertime air quality degradation across the western US: a model-based attribution to smoke source regions T. Wilmot et al. 10.1088/1748-9326/ac9a5d
59. Mars Methane Sources in Northwestern Gale Crater Inferred From Back Trajectory Modeling Y. Luo et al. 10.1029/2021EA001915
60. Dairy Methane Emissions in California's San Joaquin Valley Inferred With Ground‐Based Remote Sensing Observations in the Summer and Winter S. Heerah et al. 10.1029/2021JD034785
61. A Fast-Converging Kernel Density Estimator for Dispersion in Horizontally Homogeneous Meteorological Conditions G. Bijloos & J. Meyers 10.3390/atmos12101343
62. Optimizing Smoke and Plume Rise Modeling Approaches at Local Scales D. Mallia et al. 10.3390/atmos9050166