80 citations as recorded by crossref.

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3. 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
4. Comparative analysis of low-Earth orbit (TROPOMI) and geostationary (GeoCARB, GEO-CAPE) satellite instruments for constraining methane emissions on fine regional scales: application to the Southeast US J. Sheng et al. 10.5194/amt-11-6379-2018
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6. Revised methane emissions factors and spatially distributed annual carbon fluxes for global livestock J. Wolf et al. 10.1186/s13021-017-0084-y
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8. High-resolution US methane emissions inferred from an inversion of 2019 TROPOMI satellite data: contributions from individual states, urban areas, and landfills H. Nesser et al. 10.5194/acp-24-5069-2024
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10. Detecting Urban Emissions Changes and Events With a Near‐Real‐Time‐Capable Inversion System J. Ware et al. 10.1029/2018JD029224
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14. Constraining sector-specific CO<sub>2</sub> and CH<sub>4</sub> emissions in the US S. Miller & A. Michalak 10.5194/acp-17-3963-2017
15. Inverse Estimation of an Annual Cycle of California's Nitrous Oxide Emissions S. Jeong et al. 10.1029/2017JD028166
16. A global wetland methane emissions and uncertainty dataset for atmospheric chemical transport models (WetCHARTs version 1.0) A. Bloom et al. 10.5194/gmd-10-2141-2017
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18. Evaluation of single-footprint AIRS CH<sub>4</sub> profile retrieval uncertainties using aircraft profile measurements S. Kulawik et al. 10.5194/amt-14-335-2021
19. Top‐down estimate of methane emissions in California using a mesoscale inverse modeling technique: The San Joaquin Valley Y. Cui et al. 10.1002/2016JD026398
20. Constraints on methane emissions in North America from future geostationary remote-sensing measurements N. Bousserez et al. 10.5194/acp-16-6175-2016
21. Bayesian spatio-temporal inference of trace gas emissions using an integrated nested Laplacian approximation and Gaussian Markov random fields L. Western et al. 10.5194/gmd-13-2095-2020
22. Spatiotemporal analysis of atmospheric XCH4 as related to fires in the Amazon biome during 2015–2020 L. de Souza Maria et al. 10.1016/j.rsase.2023.100967
23. Monitoring Methane Emissions from Oil and Gas Operations W. Collins et al. 10.1103/PRXEnergy.1.017001
24. Energy recovery from solid wastes in China and a Green-BRI mechanism for advancing sustainable waste management of the global South A. Bourtsalas 10.1007/s42768-022-00130-2
25. Synthesis of Methane Observations Across Scales: Strategies for Deploying a Multitiered Observing Network D. Cusworth et al. 10.1029/2020GL087869
26. Atmospheric observation-based estimation of fossil fuel CO2 emissions from regions of central and southern California X. Cui et al. 10.1016/j.scitotenv.2019.01.081
27. Evaluation of the High Altitude Lidar Observatory (HALO) methane retrievals during the summer 2019 ACT-America campaign R. Barton-Grimley et al. 10.5194/amt-15-4623-2022
28. Optimal and scalable methods to approximate the solutions of large‐scale Bayesian problems: theory and application to atmospheric inversion and data assimilation N. Bousserez & D. Henze 10.1002/qj.3209
29. Short-term methane emissions from 2 dairy farms in California estimated by different measurement techniques and US Environmental Protection Agency inventory methodology: A case study C. Arndt et al. 10.3168/jds.2017-13881
30. Quantifying lower tropospheric methane concentrations using GOSAT near-IR and TES thermal IR measurements J. Worden et al. 10.5194/amt-8-3433-2015
31. Detecting high-emitting methane sources in oil/gas fields using satellite observations D. Cusworth et al. 10.5194/acp-18-16885-2018
32. 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
33. Satellite quantification of methane emissions and oil–gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action Z. Chen et al. 10.5194/acp-23-5945-2023
34. Natural Gas Fugitive Leak Detection Using an Unmanned Aerial Vehicle: Measurement System Description and Mass Balance Approach S. Yang et al. 10.3390/atmos9100383
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36. Error Budget of the MEthane Remote LIdar missioN and Its Impact on the Uncertainties of the Global Methane Budget P. Bousquet et al. 10.1029/2018JD028907
37. Atmospheric CH<sub>4</sub> and CO<sub>2</sub> enhancements and biomass burning emission ratios derived from satellite observations of the 2015 Indonesian fire plumes R. Parker et al. 10.5194/acp-16-10111-2016
38. Assessing Methane Emissions from Rice Fields in Large Irrigation Projects Using Satellite-Derived Land Surface Temperature and Agronomic Flooding: A Spatial Analysis S. Pazhanivelan et al. 10.3390/agriculture14030496
39. Facility-scale inventory of dairy methane emissions in California: implications for mitigation A. Marklein et al. 10.5194/essd-13-1151-2021
40. What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH<sub>4</sub> emissions as a case study A. Bloom et al. 10.5194/acp-16-15199-2016
41. Monthly trends of methane emissions in Los Angeles from 2011 to 2015 inferred by CLARS-FTS observations C. Wong et al. 10.5194/acp-16-13121-2016
42. Analyzing source apportioned methane in northern California during Discover-AQ-CA using airborne measurements and model simulations M. Johnson et al. 10.1016/j.atmosenv.2014.09.068
43. Investigating seasonal methane emissions in Northern California using airborne measurements and inverse modeling M. Johnson et al. 10.1002/2016JD025157
44. Estimating methane emissions from biological and fossil‐fuel sources in the San Francisco Bay Area S. Jeong et al. 10.1002/2016GL071794
45. Assessment of seasonal variations of carbon dioxide concentration in Iran using GOSAT data S. Mousavi et al. 10.1111/1477-8947.12121
46. Satellite-derived methane hotspot emission estimates using a fast data-driven method M. Buchwitz et al. 10.5194/acp-17-5751-2017
47. Spatio‐temporally Resolved Methane Fluxes From the Los Angeles Megacity V. Yadav et al. 10.1029/2018JD030062
48. Estimating global and North American methane emissions with high spatial resolution using GOSAT satellite data A. Turner et al. 10.5194/acp-15-7049-2015
49. Isotopic Signatures of Methane Emissions From Dairy Farms in California’s San Joaquin Valley V. Carranza et al. 10.1029/2021JG006675
50. Top-down constraints on global N<sub>2</sub>O emissions at optimal resolution: application of a new dimension reduction technique K. Wells et al. 10.5194/acp-18-735-2018
51. Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. 10.1007/s00376-022-1434-6
52. Southern California megacity CO<sub>2</sub>, CH<sub>4</sub>, and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model J. Hedelius et al. 10.5194/acp-18-16271-2018
53. How well can inverse analyses of high-resolution satellite data resolve heterogeneous methane fluxes? Observing system simulation experiments with the GEOS-Chem adjoint model (v35) X. Yu et al. 10.5194/gmd-14-7775-2021
54. Characterizing Regional-Scale Combustion Using Satellite Retrievals of CO, NO2 and CO2 S. Silva & A. Arellano 10.3390/rs9070744
55. The CHRONOS mission: capability for sub-hourly synoptic observations of carbon monoxide and methane to quantify emissions and transport of air pollution D. Edwards et al. 10.5194/amt-11-1061-2018
56. CTDAS-Lagrange v1.0: a high-resolution data assimilation system for regional carbon dioxide observations W. He et al. 10.5194/gmd-11-3515-2018
57. A decade of GOSAT Proxy satellite CH<sub>4</sub> observations R. Parker et al. 10.5194/essd-12-3383-2020
58. Seasonal variability of stratospheric methane: implications for constraining tropospheric methane budgets using total column observations K. Saad et al. 10.5194/acp-16-14003-2016
59. 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
60. High-resolution inversion of methane emissions in the Southeast US using SEAC<sup>4</sup>RS aircraft observations of atmospheric methane: anthropogenic and wetland sources J. Sheng et al. 10.5194/acp-18-6483-2018
61. Simulated retrievals for the remote sensing of CO<sub>2</sub>, CH<sub>4</sub>, CO, and H<sub>2</sub>O from geostationary orbit X. Xi et al. 10.5194/amt-8-4817-2015
62. Assessing the capability of different satellite observing configurations to resolve the distribution of methane emissions at kilometer scales A. Turner et al. 10.5194/acp-18-8265-2018
63. Estimating methane emissions in California's urban and rural regions using multitower observations S. Jeong et al. 10.1002/2016JD025404
64. Influence of methane emissions on the GHG emissions of fossil fuels B. Pieprzyk & P. Hilje 10.1002/bbb.1959
65. Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
66. A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application S. Feng et al. 10.5194/gmd-16-5949-2023
67. California’s methane super-emitters R. Duren et al. 10.1038/s41586-019-1720-3
68. Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
69. Ammonia and methane dairy emission plumes in the San Joaquin Valley of California from individual feedlot to regional scales D. Miller et al. 10.1002/2015JD023241
70. Regional data assimilation of multi-spectral MOPITT observations of CO over North America Z. Jiang et al. 10.5194/acp-15-6801-2015
71. Fusion of Mobile In situ and Satellite Remote Sensing Observations of Chemical Release Emissions to Improve Disaster Response I. Leifer et al. 10.3389/fenvs.2016.00059
72. Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations Z. Chen et al. 10.5194/acp-22-10809-2022
73. A declining trend of methane emissions in the Los Angeles basin from 2015 to 2020 V. Yadav et al. 10.1088/1748-9326/acb6a9
74. The Spatial and Temporal Distribution Patterns of XCH4 in China: New Observations from TROPOMI J. Zhang et al. 10.3390/atmos13020177
75. Four-dimensional variational inversion of black carbon emissions during ARCTAS-CARB with WRFDA-Chem J. Guerrette & D. Henze 10.5194/acp-17-7605-2017
76. Monitoring methane emissions from oil and gas operations‡ W. Collins et al. 10.1364/OE.464421
77. A comparative study of anthropogenic CH<sub>4</sub> emissions over China based on the ensembles of bottom-up inventories X. Lin et al. 10.5194/essd-13-1073-2021
78. Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ S. Voshtani et al. 10.3390/atmos14040758
79. Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH4 observations R. Parker et al. 10.1016/j.rse.2018.02.011
80. Anthropogenic emissions in Nigeria and implications for atmospheric ozone pollution: A view from space E. Marais et al. 10.1016/j.atmosenv.2014.09.055