313 citations as recorded by crossref.

1. Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator D. Watson-Parris et al. 10.5194/gmd-14-7659-2021
2. Balancing aggregation and smoothing errors in inverse models A. Turner & D. Jacob 10.5194/acp-15-7039-2015
3. Fire emissions and regional air quality impacts from fires in oil palm, timber, and logging concessions in Indonesia M. Marlier et al. 10.1088/1748-9326/10/8/085005
4. Environmental Insights: Democratizing access to ambient air pollution data and predictive analytics with an open-source Python package L. Berrisford & R. Menezes 10.1016/j.envsoft.2024.106131
5. Comparison between the Local Ensemble Transform Kalman Filter (LETKF) and 4D‐Var in atmospheric CO2 flux inversion with the Goddard Earth Observing System‐Chem model and the observation impact diagnostics from the LETKF J. Liu et al. 10.1002/2016JD025100
6. Remote‐Sensing Derived Trends in Gross Primary Production Explain Increases in the CO2 Seasonal Cycle Amplitude L. He et al. 10.1029/2021GB007220
7. Development of the tangent linear and adjoint models of the global online chemical transport model MPAS-CO2 v7.3 T. Zheng et al. 10.5194/gmd-17-1543-2024
8. A High-Performance Convolutional Neural Network for Ground-Level Ozone Estimation in Eastern China S. Wang et al. 10.3390/rs14071640
9. A method for independent validation of surface fluxes from atmospheric inversion: Application to CO2 J. Liu & K. Bowman 10.1002/2016GL067828
10. Impact of the Volkswagen emissions control defeat device on US public health S. Barrett et al. 10.1088/1748-9326/10/11/114005
11. Fires, Smoke Exposure, and Public Health: An Integrative Framework to Maximize Health Benefits From Peatland Restoration M. Marlier et al. 10.1029/2019GH000191
12. An intercomparison of inverse models for estimating sources and sinks of CO2 using GOSAT measurements S. Houweling et al. 10.1002/2014JD022962
13. The cascade of global trade to large climate forcing over the Tibetan Plateau glaciers K. Yi et al. 10.1038/s41467-019-10876-9
14. Spatiotemporally Detailed Quantification of Air Quality Benefits of Emissions Reductions–Part I: Benefit-per-Ton Estimates for Canada and the U.S. S. Zhao et al. 10.1021/acsestair.4c00127
15. Differences Between Magnitudes and Health Impacts of BC Emissions Across the United States Using 12 km Scale Seasonal Source Apportionment M. Turner et al. 10.1021/es505968b
16. Optimal Ozone Reduction Policy Design Using Adjoint-Based NOx Marginal Damage Information S. Mesbah et al. 10.1021/es402531n
17. PM2.5 source attribution for Seoul in May from 2009 to 2013 using GEOS-Chem and its adjoint model H. Lee et al. 10.1016/j.envpol.2016.11.088
18. Development of four-dimensional variational assimilation system based on the GRAPES–CUACE adjoint model (GRAPES–CUACE-4D-Var V1.0) and its application in emission inversion C. Wang et al. 10.5194/gmd-14-337-2021
19. Determination of the source regions for surface to stratosphere transport: An Eulerian backtracking approach P. Haines & J. Esler 10.1002/2013GL058757
20. Integrated assessment of global climate, air pollution, and dietary, malnutrition and obesity health impacts of food production and consumption between 2014 and 2018 C. Malley et al. 10.1088/2515-7620/ac0af9
21. Synthesizing Scientific Progress: Outcomes from U.S. EPA’s Carbonaceous Aerosols and Source Apportionment STAR Grants K. Wagstrom et al. 10.1021/es500782k
22. Construction of non-diagonal background error covariance matrices for global chemical data assimilation K. Singh et al. 10.5194/gmd-4-299-2011
23. Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. 10.5194/acp-19-14585-2019
24. Quantification of regional net CO2 flux errors in the Orbiting Carbon Observatory-2 (OCO-2) v10 model intercomparison project (MIP) ensemble using airborne measurements J. Yun et al. 10.5194/acp-25-1725-2025
25. Global dry deposition of nitrogen dioxide and sulfur dioxide inferred from space‐based measurements C. Nowlan et al. 10.1002/2014GB004805
26. Intercomparison of Magnitudes and Trends in Anthropogenic Surface Emissions From Bottom‐Up Inventories, Top‐Down Estimates, and Emission Scenarios N. Elguindi et al. 10.1029/2020EF001520
27. Understanding factors influencing the detection of mercury policies in modelled Laurentian Great Lakes wet deposition A. Giang et al. 10.1039/C8EM00268A
28. Technical Note: Adjoint formulation of the TOMCAT atmospheric transport scheme in the Eulerian backtracking framework (RETRO-TOM) P. Haines et al. 10.5194/acp-14-5477-2014
29. Sources and Processes Affecting Fine Particulate Matter Pollution over North China: An Adjoint Analysis of the Beijing APEC Period L. Zhang et al. 10.1021/acs.est.6b03010
30. Parameterization and sensitivity analysis of a process‐based terrestrial ecosystem model using adjoint method Q. Zhu & Q. Zhuang 10.1002/2013MS000241
31. Duration of tangent-linear regime in sectional multi-component aerosol dynamics T. Viskari et al. 10.1016/j.jaerosci.2008.04.002
32. Assessing remote polarimetric measurement sensitivities to aerosol emissions using the geos-chem adjoint model B. Meland et al. 10.5194/amt-6-3441-2013
33. Estimates of black carbon emissions in the western United States using the GEOS-Chem adjoint model Y. Mao et al. 10.5194/acp-15-7685-2015
34. Terrestrial ecosystem carbon flux estimated using GOSAT and OCO-2 XCO2 retrievals H. Wang et al. 10.5194/acp-19-12067-2019
35. A new method for inferring city emissions and lifetimes of nitrogen oxides from high-resolution nitrogen dioxide observations: a model study F. Liu et al. 10.5194/acp-22-1333-2022
36. An Inversion Framework for Optimizing Non‐Methane VOC Emissions Using Remote Sensing and Airborne Observations in Northeast Asia During the KORUS‐AQ Field Campaign J. Choi et al. 10.1029/2021JD035844
37. Retrieval of aerosol components directly from satellite and ground-based measurements L. Li et al. 10.5194/acp-19-13409-2019
38. Description and evaluation of a detailed gas-phase chemistry scheme in the TM5-MP global chemistry transport model (r112) S. Myriokefalitakis et al. 10.5194/gmd-13-5507-2020
39. Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
40. Contributions to local- and regional-scale formaldehyde concentrations L. Bastien et al. 10.5194/acp-19-8363-2019
41. On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems? B. Byrne et al. 10.5194/acp-19-13017-2019
42. Sector‐Based Top‐Down Estimates of NOx, SO2, and CO Emissions in East Asia Z. Qu et al. 10.1029/2021GL096009
43. Premature Deaths in Brazil Associated With Long‐Term Exposure to PM2.5 From Amazon Fires Between 2016 and 2019 M. Nawaz & D. Henze 10.1029/2020GH000268
44. Development of the adjoint of the unified tropospheric–stratospheric chemistry extension (UCX) in GEOS-Chem adjoint v36 I. Dedoussi et al. 10.5194/gmd-17-5689-2024
45. ISORROPIA‐MCX: Enabling Sensitivity Analysis With Multicomplex Variables in the Aerosol Thermodynamic Model, ISORROPIA B. Berman et al. 10.1029/2022EA002729
46. Sensitivity analysis of the potential impact of discrepancies in stratosphere–troposphere exchange on inferred sources and sinks of CO2 F. Deng et al. 10.5194/acp-15-11773-2015
47. A multiphase CMAQ version 5.0 adjoint S. Zhao et al. 10.5194/gmd-13-2925-2020
48. OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO2 Fluxes Over South Asia S. Philip et al. 10.1029/2021JD035035
49. Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem T. Dai et al. 10.5194/acp-21-4357-2021
50. Sensitivity analysis and precursor emission sources reduction strategies of O3 for different pollution weather types based on the GRAPES-CUACE adjoint model C. Wang et al. 10.1016/j.atmosenv.2024.120632
51. Adjoint of the global Eulerian–Lagrangian coupled atmospheric transport model (A-GELCA v1.0): development and validation D. Belikov et al. 10.5194/gmd-9-749-2016
52. Global spatiotemporal completion of daily high-resolution TCCO from TROPOMI over land using a swath-based local ensemble learning method Y. Wang et al. 10.1016/j.isprsjprs.2022.10.012
53. Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019 A. Fortems-Cheiney et al. 10.5194/gmd-14-2939-2021
54. Sensitivity of inorganic aerosol radiative effects to U.S. emissions J. Holt et al. 10.1002/2016JD025890
55. Technical note: A comparative study of chemistry schemes for volcanic sulfur dioxide in Lagrangian transport simulations – a case study of the 2019 Raikoke eruption M. Liu et al. 10.5194/acp-25-4403-2025
56. Adjoint inversion of Chinese non-methane volatile organic compound emissions using space-based observations of formaldehyde and glyoxal H. Cao et al. 10.5194/acp-18-15017-2018
57. Sources of PM2.5‐Associated Health Risks in Europe and Corresponding Emission‐Induced Changes During 2005–2015 Y. Gu et al. 10.1029/2022GH000767
58. 4D‐Var Inversion of European NH3 Emissions Using CrIS NH3 Measurements and GEOS‐Chem Adjoint With Bi‐Directional and Uni‐Directional Flux Schemes H. Cao et al. 10.1029/2021JD035687
59. Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis K. Miyazaki et al. 10.5194/acp-20-931-2020
60. The zonal structure of tropical O3 and CO as observed by the Tropospheric Emission Spectrometer in November 2004 – Part 2: Impact of surface emissions on O3 and its precursors K. Bowman et al. 10.5194/acp-9-3563-2009
61. Evaluation of Lagrangian Particle Dispersion Models with Measurements from Controlled Tracer Releases J. Hegarty et al. 10.1175/JAMC-D-13-0125.1
62. Constraints on aerosol sources using GEOS‐Chem adjoint and MODIS radiances, and evaluation with multisensor (OMI, MISR) data X. Xu et al. 10.1002/jgrd.50515
63. Improving PM2. 5 forecast over China by the joint adjustment of initial conditions and source emissions with an ensemble Kalman filter Z. Peng et al. 10.5194/acp-17-4837-2017
64. Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data – Part 2: Downscaling techniques for air quality analysis and forecasts Y. Wang et al. 10.5194/acp-20-6651-2020
65. 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
66. Temporal and spatial variability in the aviation NO x -related O 3 impact C. Gilmore et al. 10.1088/1748-9326/8/3/034027
67. Chemical Data Assimilation—An Overview A. Sandu & T. Chai 10.3390/atmos2030426
68. Profiling tropospheric CO2 using Aura TES and TCCON instruments L. Kuai et al. 10.5194/amt-6-63-2013
69. Inverse modeling of pan-Arctic methane emissions at high spatial resolution: what can we learn from assimilating satellite retrievals and using different process-based wetland and lake biogeochemical models? Z. Tan et al. 10.5194/acp-16-12649-2016
70. Comparing mass balance and adjoint methods for inverse modeling of nitrogen dioxide columns for global nitrogen oxide emissions M. Cooper et al. 10.1002/2016JD025985
71. The 2015–2016 carbon cycle as seen from OCO-2 and the global in situ network S. Crowell et al. 10.5194/acp-19-9797-2019
72. Ozone air quality measurement requirements for a geostationary satellite mission P. Zoogman et al. 10.1016/j.atmosenv.2011.05.058
73. Inverse modeling of NH3sources using CrIS remote sensing measurements H. Cao et al. 10.1088/1748-9326/abb5cc
74. A Method to Quantitatively Apportion Pollutants at High Spatial and Temporal Resolution: The Stochastic Lagrangian Apportionment Method (SLAM) J. Lin & D. Wen 10.1021/es505603v
75. Quantifying Emissions of CO and NOx Using Observations From MOPITT, OMI, TES, and OSIRIS X. Zhang et al. 10.1029/2018JD028670
76. GLIMPSE: A Rapid Decision Framework for Energy and Environmental Policy F. Akhtar et al. 10.1021/es402283j
77. Four-dimensional variational assimilation for SO2 emission and its application around the COVID-19 lockdown in the spring 2020 over China Y. Hu et al. 10.5194/acp-22-13183-2022
78. Validation of TES methane with HIPPO aircraft observations: implications for inverse modeling of methane sources K. Wecht et al. 10.5194/acp-12-1823-2012
79. Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
80. Simulation of atmospheric N2O with GEOS-Chem and its adjoint: evaluation of observational constraints K. Wells et al. 10.5194/gmd-8-3179-2015
81. Emissions, degradation and impact of HFO-1234ze from China PU foam industry Y. Wang et al. 10.1016/j.scitotenv.2021.146631
82. Spatial variation of modelled total, dry and wet nitrogen deposition to forests at global scale D. Schwede et al. 10.1016/j.envpol.2018.09.084
83. The MACC reanalysis: an 8 yr data set of atmospheric composition A. Inness et al. 10.5194/acp-13-4073-2013
84. Assimilating AOD retrievals from GOCI and VIIRS to forecast surface PM2.5 episodes over Eastern China J. Pang et al. 10.1016/j.atmosenv.2018.02.011
85. Evolution of sectoral emissions and contributions to mortality from particulate matter exposure in the Asia-Pacific region between 2010 and 2015 K. Dasadhikari et al. 10.1016/j.atmosenv.2019.116916
86. A Practical Method to Estimate Information Content in the Context of 4D-Var Data Assimilation K. Singh et al. 10.1137/120884523
87. Changes in Inorganic Fine Particulate Matter Sensitivities to Precursors Due to Large-Scale US Emissions Reductions J. Holt et al. 10.1021/acs.est.5b00008
88. Satellite contributions to the quantitative characterization of biomass burning for climate modeling C. Ichoku et al. 10.1016/j.atmosres.2012.03.007
89. Novel Method for Ozone Isopleth Construction and Diagnosis for the Ozone Control Strategy of Chinese Cities H. Shen et al. 10.1021/acs.est.1c01567
90. A 15-year record of CO emissions constrained by MOPITT CO observations Z. Jiang et al. 10.5194/acp-17-4565-2017
91. FootNet v1.0: development of a machine learning emulator of atmospheric transport T. He et al. 10.5194/gmd-18-1661-2025
92. A review of operational, regional-scale, chemical weather forecasting models in Europe J. Kukkonen et al. 10.5194/acp-12-1-2012
93. Detecting drought impact on terrestrial biosphere carbon fluxes over contiguous US with satellite observations J. Liu et al. 10.1088/1748-9326/aad5ef
94. Achieving Both Efficiency and Fairness in Risk-Based Cross-State Air Pollution Controls J. Heo 10.2139/ssrn.3460372
95. Implementation and evaluation of an array of chemical solvers in the Global Chemical Transport Model GEOS-Chem P. Eller et al. 10.5194/gmd-2-89-2009
96. Continuous versus discrete advection adjoints in chemical data assimilation with CMAQ T. Gou & A. Sandu 10.1016/j.atmosenv.2011.06.015
97. A Review of Satellite-Based CO2 Data Reconstruction Studies: Methodologies, Challenges, and Advances K. Hu et al. 10.3390/rs16203818
98. Air Quality Response Modeling for Decision Support D. Cohan & S. Napelenok 10.3390/atmos2030407
99. Reducing the air quality and CO2 climate impacts of taxi and takeoff operations at airports A. Ashok et al. 10.1016/j.trd.2017.05.013
100. Mercury accumulation in soil from atmospheric deposition in temperate steppe of Inner Mongolia, China Z. Cheng et al. 10.1016/j.envpol.2019.113692
101. Technical note: Posterior uncertainty estimation via a Monte Carlo procedure specialized for 4D-Var data assimilation M. Stanley et al. 10.5194/acp-24-9419-2024
102. Impacts of the Degradation of 2,3,3,3-Tetrafluoropropene into Trifluoroacetic Acid from Its Application in Automobile Air Conditioners in China, the United States, and Europe Z. Wang et al. 10.1021/acs.est.7b05960
103. Real-time air quality forecasting, part II: State of the science, current research needs, and future prospects Y. Zhang et al. 10.1016/j.atmosenv.2012.02.041
104. Impacts of anthropogenic and natural sources on free tropospheric ozone over the Middle East Z. Jiang et al. 10.5194/acp-16-6537-2016
105. The SPRINTARS version 3.80/4D-Var data assimilation system: development and inversion experiments based on the observing system simulation experiment framework K. Yumimoto & T. Takemura 10.5194/gmd-6-2005-2013
106. Transboundary air pollution from coal-fired power generation X. Du et al. 10.1016/j.jenvman.2020.110862
107. Spatial sensitivities of human health risk to intercontinental and high-altitude pollution J. Koo et al. 10.1016/j.atmosenv.2013.01.025
108. Prescribed Burns as a Tool to Mitigate Future Wildfire Smoke Exposure: Lessons for States and Rural Environmental Justice Communities M. Kelp et al. 10.1029/2022EF003468
109. Global and regional radiative forcing from 20 % reductions in BC, OC and SO4 – an HTAP2 multi-model study C. Stjern et al. 10.5194/acp-16-13579-2016
110. Prior biosphere model impact on global terrestrial CO2 fluxes estimated from OCO-2 retrievals S. Philip et al. 10.5194/acp-19-13267-2019
111. A framework for scalable ambient air pollution concentration estimation L. Berrisford et al. 10.1017/eds.2025.9
112. Constraints on Asian ozone using Aura TES, OMI and Terra MOPITT Z. Jiang et al. 10.5194/acp-15-99-2015
113. Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm C. Chen et al. 10.5194/acp-18-12551-2018
114. The global impacts of COVID-19 lockdowns on urban air pollution G. Gkatzelis et al. 10.1525/elementa.2021.00176
115. Geostatistical inverse modeling with very large datasets: an example from the Orbiting Carbon Observatory 2 (OCO-2) satellite S. Miller et al. 10.5194/gmd-13-1771-2020
116. Enhanced Integration of Health, Climate, and Air Quality Management Planning at the Urban Scale G. Kleiman et al. 10.3389/frsc.2022.934672
117. Effects of a priori profile shape assumptions on comparisons between satellite NO2 columns and model simulations M. Cooper et al. 10.5194/acp-20-7231-2020
118. Global and Brazilian Carbon Response to El Niño Modoki 2011–2010 K. Bowman et al. 10.1002/2016EA000204
119. An Adaptive Auto‐Reduction Solver for Speeding Up Integration of Chemical Kinetics in Atmospheric Chemistry Models: Implementation and Evaluation in the Kinetic Pre‐Processor (KPP) Version 3.0.0 H. Lin et al. 10.1029/2022MS003293
120. Source attribution of particulate matter pollution over North China with the adjoint method L. Zhang et al. 10.1088/1748-9326/10/8/084011
121. Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO 2 Retrievals H. Wang et al. 10.34133/2022/9816536
122. Long-term observational constraints of organic aerosol dependence on inorganic species in the southeast US Y. Zheng et al. 10.5194/acp-20-13091-2020
123. Climate change mitigation in Zimbabwe and links to sustainable development D. Sithole et al. 10.1016/j.envdev.2023.100891
124. Characterizing model errors in chemical transport modeling of methane: impact of model resolution in versions v9-02 of GEOS-Chem and v35j of its adjoint model I. Stanevich et al. 10.5194/gmd-13-3839-2020
125. Atmospheric inverse modeling with known physical bounds: an example from trace gas emissions S. Miller et al. 10.5194/gmd-7-303-2014
126. Global evaluation of ammonia bidirectional exchange and livestock diurnal variation schemes L. Zhu et al. 10.5194/acp-15-12823-2015
127. Air pollution and early deaths in the United States. Part II: Attribution of PM2.5 exposure to emissions species, time, location and sector I. Dedoussi & S. Barrett 10.1016/j.atmosenv.2014.10.033
128. The role of NOx emission reductions in Euro 7/VII vehicle emission standards to reduce adverse health impacts in the EU27 through 2050 E. Mulholland et al. 10.1016/j.treng.2022.100133
129. Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates L. Zhang et al. 10.5194/acp-18-339-2018
130. Quantifying the impact of model errors on top-down estimates of carbon monoxide emissions using satellite observations Z. Jiang et al. 10.1029/2010JD015282
131. Premature mortality related to United States cross-state air pollution I. Dedoussi et al. 10.1038/s41586-020-1983-8
132. Improved analysis‐error covariance matrix for high‐dimensional variational inversions: application to source estimation using a 3D atmospheric transport model N. Bousserez et al. 10.1002/qj.2495
133. A Source Apportionment and Emission Scenario Assessment of PM2.5‐ and O3‐Related Health Impacts in G20 Countries M. Nawaz et al. 10.1029/2022GH000713
134. Sources of black carbon during severe haze events in the Beijing–Tianjin–Hebei region using the adjoint method Y. Mao et al. 10.1016/j.scitotenv.2020.140149
135. Attribution of PM2.5 exposure in Beijing–Tianjin–Hebei region to emissions: implication to control strategies X. Li et al. 10.1016/j.scib.2017.06.005
136. Computationally efficient methods for large-scale atmospheric inverse modeling T. Cho et al. 10.5194/gmd-15-5547-2022
137. Comparisons of simple and complex methods for quantifying exposure to individual point source air pollution emissions L. Henneman et al. 10.1038/s41370-020-0219-1
138. Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation I. Stanevich et al. 10.5194/acp-21-9545-2021
139. A low-order coupled chemistry meteorology model for testing online and offline data assimilation schemes: L95-GRS (v1.0) J. Haussaire & M. Bocquet 10.5194/gmd-9-393-2016
140. Air pollution mitigation assessment to inform Cambodia's first clean air plan P. Sokharavuth et al. 10.1016/j.envres.2023.115230
141. Spatiotemporally Detailed Quantification of Air Quality Benefits of Emissions–Part II: Sensitivity to Study Parameters and Assumptions A. Hakami et al. 10.1021/acsestair.4c00128
142. A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources X. Yu et al. 10.5194/acp-23-3325-2023
143. Sources of PM2.5 exposure and health benefits of clean air actions in Shanghai Y. Gu et al. 10.1016/j.envint.2025.109259
144. 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
145. TES ammonia retrieval strategy and global observations of the spatial and seasonal variability of ammonia M. Shephard et al. 10.5194/acp-11-10743-2011
146. Analysis of transpacific transport of black carbon during HIPPO-3: implications for black carbon aging Z. Shen et al. 10.5194/acp-14-6315-2014
147. JRAero: the Japanese Reanalysis for Aerosol v1.0 K. Yumimoto et al. 10.5194/gmd-10-3225-2017
148. Evaluating the Impact of Emissions Regulations on the Emissions Reduction During the 2015 China Victory Day Parade With an Ensemble Square Root Filter K. Chu et al. 10.1002/2017JD027631
149. The impact of multi-species surface chemical observation assimilation on air quality forecasts in China Z. Peng et al. 10.5194/acp-18-17387-2018
150. Impact of model errors in convective transport on CO source estimates inferred from MOPITT CO retrievals Z. Jiang et al. 10.1002/jgrd.50216
151. Impacts of bromine and iodine chemistry on tropospheric OH and HO2: comparing observations with box and global model perspectives D. Stone et al. 10.5194/acp-18-3541-2018
152. Unraveling the complexities of ozone and PM2.5 pollution in the Pearl River Delta region: Impacts of precursors emissions and meteorological factors, and effective mitigation strategies Y. Chen et al. 10.1016/j.apr.2024.102368
153. Aggravated surface O3 pollution primarily driven by meteorological variations in China during the 2020 COVID-19 pandemic lockdown period Z. Lu et al. 10.5194/acp-24-7793-2024
154. Regional data assimilation of multi-spectral MOPITT observations of CO over North America Z. Jiang et al. 10.5194/acp-15-6801-2015
155. Five years of variability in the global carbon cycle: comparing an estimate from the Orbiting Carbon Observatory-2 and process-based models Z. Chen et al. 10.1088/1748-9326/abfac1
156. Mercury in the terrestrial environment: a review B. Gworek et al. 10.1186/s12302-020-00401-x
157. Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia B. Byrne et al. 10.5194/bg-19-4779-2022
158. Improving NOx Cap-and-Trade System with Adjoint-Based Emission Exchange Rates S. Mesbah et al. 10.1021/es302406y
159. Estimating annual ambient air pollution using structural properties of road networks L. Berrisford et al. 10.1177/23998083241230707
160. Assessing the relative impacts of satellite ozone and its precursor observations to improve global tropospheric ozone analysis using multiple chemical reanalysis systems T. Sekiya et al. 10.5194/acp-25-2243-2025
161. SO2 Emission Estimates Using OMI SO2 Retrievals for 2005–2017 Z. Qu et al. 10.1029/2019JD030243
162. Inferring regional sources and sinks of atmospheric CO2 from GOSAT XCO2 data F. Deng et al. 10.5194/acp-14-3703-2014
163. Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO₂ sampling on the inference of terrestrial biospheric sources and sinks J. Liu et al. 10.3402/tellusb.v66.22486
164. Toward the next generation of air quality monitoring: Ozone K. Bowman 10.1016/j.atmosenv.2013.07.007
165. Sources of Air Pollution Health Impacts and Co‐Benefits of Carbon Neutrality in Santiago, Chile M. Nawaz et al. 10.1029/2023JD038808
166. Application of the complex step method to chemistry-transport modeling B. Constantin & S. Barrett 10.1016/j.atmosenv.2014.10.017
167. Enhancing scientific transparency in national CO2 emissions reports via satellite-based a posteriori estimates M. Watanabe et al. 10.1038/s41598-023-42664-3
168. Attribution of direct ozone radiative forcing to spatially resolved emissions K. Bowman & D. Henze 10.1029/2012GL053274
169. Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) B. Badawy et al. 10.5194/gmd-11-631-2018
170. Assessing the Iterative Finite Difference Mass Balance and 4D‐Var Methods to Derive Ammonia Emissions Over North America Using Synthetic Observations C. Li et al. 10.1029/2018JD030183
171. A case study of surface ozone source contributions in the Seoul metropolitan area using the adjoint of CMAQ A. Kashfi Yeganeh et al. 10.1080/10962247.2024.2361021
172. Inverse modeling and mapping US air quality influences of inorganic PM2.5 precursor emissions using the adjoint of GEOS-Chem D. Henze et al. 10.5194/acp-9-5877-2009
173. An Alternative Co-Benefit Framework Prioritizing Health Impacts: Potential Air Pollution and Climate Change Mitigation Pathways through Energy Sector Fuel Substitution in South Korea D. Phillips & T. Jung 10.3390/cli9060101
174. Multi-angular polarimetric remote sensing to pinpoint global aerosol absorption and direct radiative forcing C. Chen et al. 10.1038/s41467-022-35147-y
175. Responses of Arctic black carbon and surface temperature to multi-region emission reductions: a Hemispheric Transport of Air Pollution Phase 2 (HTAP2) ensemble modeling study N. Zhao et al. 10.5194/acp-21-8637-2021
176. Anthropogenic NOx Emission Estimations over East China for 2015 and 2019 Using OMI Satellite Observations and the New Inverse Modeling System CIF-CHIMERE D. Savas et al. 10.3390/atmos14010154
177. Estimating Daily Concentrations of Near-Surface CO, NO2, and O3 Simultaneously Over China Based on Spatiotemporal Multi-Task Transformer Model Q. Zeng et al. 10.1016/j.atmosenv.2023.120193
178. Response of Global Particulate-Matter-Related Mortality to Changes in Local Precursor Emissions C. Lee et al. 10.1021/acs.est.5b00873
179. Impact of intercontinental pollution transport on North American ozone air pollution: an HTAP phase 2 multi-model study M. Huang et al. 10.5194/acp-17-5721-2017
180. Investigating the Linear Dependence of Direct and Indirect Radiative Forcing on Emission of Carbonaceous Aerosols in a Global Climate Model Y. Chen et al. 10.1002/2017JD027244
181. Changing Responses of PM2.5 and Ozone to Source Emissions in the Yangtze River Delta Using the Adjoint Model W. Hu et al. 10.1021/acs.est.3c05049
182. Marginal climate and air quality costs of aviation emissions C. Grobler et al. 10.1088/1748-9326/ab4942
183. High-Spatiotemporal-Resolution Estimation of Ground-Level Ozone in China Based on Machine Learning J. Chen et al. 10.3390/atmos15010034
184. Impact of the isoprene photochemical cascade on tropical ozone F. Paulot et al. 10.5194/acp-12-1307-2012
185. Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data – Part 1: Formulation and sensitivity analysis Y. Wang et al. 10.5194/acp-20-6631-2020
186. Impacts of Foreign, Domestic, and State-Level Emissions on Ozone-Induced Vegetation Loss in the United States K. Lapina et al. 10.1021/acs.est.5b04887
187. Long-range transport impacts on surface aerosol concentrations and the contributions to haze events in China: an HTAP2 multi-model study X. Dong et al. 10.5194/acp-18-15581-2018
188. The global tropospheric ammonia distribution as seen in the 13-year AIRS measurement record J. Warner et al. 10.5194/acp-16-5467-2016
189. Sources of air pollution-related health impacts and benefits of radially applied transportation policies in 14 US cities M. Nawaz et al. 10.3389/frsc.2023.1102493
190. Development of GRAPES-CUACE adjoint model version 2.0 and its application in sensitivity analysis of ozone pollution in north China C. Wang et al. 10.1016/j.scitotenv.2022.153879
191. Response of the ozone-related health burden in Europe to changes in local anthropogenic emissions of ozone precursors Y. Gu et al. 10.1088/1748-9326/ad0167
192. High-resolution inversion of OMI formaldehyde columns to quantify isoprene emission on ecosystem-relevant scales: application to the southeast US J. Kaiser et al. 10.5194/acp-18-5483-2018
193. Reduced-form modeling of public health impacts of inorganic PM 2.5 and precursor emissions J. Heo et al. 10.1016/j.atmosenv.2016.04.026
194. The impact of future emission policies on tropospheric ozone using a parameterised approach S. Turnock et al. 10.5194/acp-18-8953-2018
195. Local fractions – a method for the calculation of local source contributions to air pollution, illustrated by examples using the EMEP MSC-W model (rv4_33) P. Wind et al. 10.5194/gmd-13-1623-2020
196. Carbon emissions from the 2023 Canadian wildfires B. Byrne et al. 10.1038/s41586-024-07878-z
197. Prediction of surface ozone episodes using clusters based generalized linear mixed effects models in Houston–Galveston–Brazoria area, Texas W. Sun et al. 10.5094/APR.2015.029
198. Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
199. Detection of critical PM2.5 emission sources and their contributions to a heavy haze episode in Beijing, China, using an adjoint model S. Zhai et al. 10.5194/acp-18-6241-2018
200. Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons – a focus on the Indian subcontinent Z. Hakim et al. 10.5194/acp-19-6437-2019
201. Sensitivities of ozone to its precursors during heavy ozone pollution events in the Yangtze River Delta using the adjoint method Y. Mao et al. 10.1016/j.scitotenv.2024.171585
202. Implementation of the chemistry module MECCA (v2.5) in the modal aerosol version of the Community Atmosphere Model component (v3.6.33) of the Community Earth System Model M. Long et al. 10.5194/gmd-6-255-2013
203. SO2emissions and lifetimes: Estimates from inverse modeling using in situ and global, space-based (SCIAMACHY and OMI) observations C. Lee et al. 10.1029/2010JD014758
204. Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China Using Machine Learning Emulation L. Conibear et al. 10.1029/2021GH000570
205. Impacts of midlatitude precursor emissions and local photochemistry on ozone abundances in the Arctic T. Walker et al. 10.1029/2011JD016370
206. Comparison of adjoint and analytical Bayesian inversion methods for constraining Asian sources of carbon monoxide using satellite (MOPITT) measurements of CO columns M. Kopacz et al. 10.1029/2007JD009264
207. Two-scale multi-model ensemble: is a hybrid ensemble of opportunity telling us more? S. Galmarini et al. 10.5194/acp-18-8727-2018
208. Data reduction for inverse modeling: an adaptive approach v1.0 X. Liu et al. 10.5194/gmd-14-4683-2021
209. Impacts of sectoral, regional, species, and day-specific emissions on air pollution and public health in Washington, DC M. Nawaz et al. 10.1525/elementa.2021.00043
210. Hybrid Mass Balance/4D‐Var Joint Inversion of NOx and SO2 Emissions in East Asia Z. Qu et al. 10.1029/2018JD030240
211. Origin and radiative forcing of black carbon transported to the Himalayas and Tibetan Plateau M. Kopacz et al. 10.5194/acp-11-2837-2011
212. A Framework for Characterizing the Multilateral and Directional Interaction Relationships Between PM Pollution at City Scale: A Case Study of 29 Cities in East China, South Korea and Japan J. Liu & H. Ho 10.3389/fpubh.2022.875924
213. The Carbon Cycle of Southeast Australia During 2019–2020: Drought, Fires, and Subsequent Recovery B. Byrne et al. 10.1029/2021AV000469
214. Attainment vs Exposure: Ozone Metric Responses to Source-Specific NOx Controls Using Adjoint Sensitivity Analysis A. Pappin & A. Hakami 10.1021/es4024145
215. Mitigating the impacts of air pollutants in Nepal and climate co-benefits: a scenario-based approach A. Nakarmi et al. 10.1007/s11869-020-00799-6
216. Quantifying the air quality-CO2 tradeoff potential for airports A. Ashok et al. 10.1016/j.atmosenv.2014.10.024
217. Historical Trends in PM 2.5 -Related Premature Mortality during 1990–2010 across the Northern Hemisphere J. Wang et al. 10.1289/EHP298
218. Spatially Refined Aerosol Direct Radiative Forcing Efficiencies D. Henze et al. 10.1021/es301993s
219. Sources of springtime surface black carbon in the Arctic: an adjoint analysis for April 2008 L. Qi et al. 10.5194/acp-17-9697-2017
220. Economic and environmental assessment of liquefied natural gas as a supplemental aircraft fuel M. Withers et al. 10.1016/j.paerosci.2013.12.002
221. Source‐receptor relationships of column‐average CO2 and implications for the impact of observations on flux inversions J. Liu et al. 10.1002/2014JD022914
222. ICLASS 1.1, a variational Inverse modelling framework for the Chemistry Land-surface Atmosphere Soil Slab model: description, validation, and application P. Bosman & M. Krol 10.5194/gmd-16-47-2023
223. ANISORROPIA: the adjoint of the aerosol thermodynamic model ISORROPIA S. Capps et al. 10.5194/acp-12-527-2012
224. Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES) M. Kopacz et al. 10.5194/acp-10-855-2010
225. Sensitivity of top-down CO source estimates to the modeled vertical structure in atmospheric CO Z. Jiang et al. 10.5194/acp-15-1521-2015
226. Cost-effectiveness uncertainty may bias the decision of coal power transitions in China X. Yan et al. 10.1038/s41467-024-46549-5
227. Sensitivity of CO2 surface flux constraints to observational coverage B. Byrne et al. 10.1002/2016JD026164
228. Regional air quality impacts of future fire emissions in Sumatra and Kalimantan M. Marlier et al. 10.1088/1748-9326/10/5/054010
229. Sensitivity of population smoke exposure to fire locations in Equatorial Asia P. Kim et al. 10.1016/j.atmosenv.2014.09.045
230. Constraining black carbon aerosol over Asia using OMI aerosol absorption optical depth and the adjoint of GEOS-Chem L. Zhang et al. 10.5194/acp-15-10281-2015
231. Effects of atmospheric transport and trade on air pollution mortality in China H. Zhao et al. 10.5194/acp-17-10367-2017
232. Inequality of household consumption and air pollution-related deaths in China H. Zhao et al. 10.1038/s41467-019-12254-x
233. Atmospheric nitrogen deposition to the northwestern Pacific: seasonal variation and source attribution Y. Zhao et al. 10.5194/acp-15-10905-2015
234. Development and application of the WRFPLUS-Chem online chemistry adjoint and WRFDA-Chem assimilation system J. Guerrette & D. Henze 10.5194/gmd-8-1857-2015
235. Health benefits of phasing out coal-fired power plants in Ontario, Alberta, and Canada Y. Öztaner et al. 10.1016/j.atmosenv.2024.120711
236. Development of the Low Emissions Analysis Platform – Integrated Benefits Calculator (LEAP-IBC) tool to assess air quality and climate co-benefits: Application for Bangladesh J. Kuylenstierna et al. 10.1016/j.envint.2020.106155
237. Assessing the nonlinearity of wintertime PM2.5 formation in response to precursor emission changes in North China with the adjoint method N. Lu et al. 10.1088/1748-9326/ad60df
238. Mapping of North American methane emissions with high spatial resolution by inversion of SCIAMACHY satellite data K. Wecht et al. 10.1002/2014JD021551
239. Implications of RCP emissions for future changes in vegetative exposure to ozone in the western U.S. K. Lapina et al. 10.1002/2015GL063529
240. Air pollution-related health and climate benefits of clean cookstove programs in Mozambique S. Anenberg et al. 10.1088/1748-9326/aa5557
241. PAN in the eastern Pacific free troposphere: A satellite view of the sources, seasonality, interannual variability, and timeline for trend detection L. Zhu et al. 10.1002/2016JD025868
242. The spatial extent of source influences on modeled column concentrations of short‐lived species A. Turner et al. 10.1029/2012GL051832
243. Sense size‐dependent dust loading and emission from space using reflected solar and infrared spectral measurements: An observation system simulation experiment X. Xu et al. 10.1002/2017JD026677
244. Source backtracking for dust storm emission inversion using an adjoint method: case study of Northeast China J. Jin et al. 10.5194/acp-20-15207-2020
245. The Adjoint of CMAQ A. Hakami et al. 10.1021/es070944p
246. Sector-, Season-, and Country-Specific NO2-Associated Health Benefits from NOx Emission Reductions P. Wiecko et al. 10.1021/acsestair.5c00012
247. Air Pollution Mitigation Assessment to Inform Cambodia's First Clean Air Plan C. Malley et al. 10.2139/ssrn.4089840
248. Source attribution of Arctic black carbon constrained by aircraft and surface measurements J. Xu et al. 10.5194/acp-17-11971-2017
249. Responses of Photochemical Air Pollution in California’s San Joaquin Valley to Spatially and Temporally Resolved Changes in Precursor Emissions Y. Wang et al. 10.1021/acs.est.1c07011
250. Top-down Constraint on Regional Fossil Fuel CO2 Emissions in China using GOSAT and OCO-2 Satellite XCO2 Retrievals: A Case of the COVID-19 Lockdown W. Chang et al. 10.1007/s00376-024-4150-6
251. Ten years of CO emissions as seen from Measurements of Pollution in the Troposphere (MOPITT) A. Fortems-Cheiney et al. 10.1029/2010JD014416
252. A new approach for monthly updates of anthropogenic sulfur dioxide emissions from space: Application to China and implications for air quality forecasts Y. Wang et al. 10.1002/2016GL070204
253. Improved western U.S. background ozone estimates via constraining nonlocal and local source contributions using Aura TES and OMI observations M. Huang et al. 10.1002/2014JD022993
254. Monthly top‐down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis Z. Qu et al. 10.1002/2016JD025852
255. Impacts of wind power on air quality, premature mortality, and exposure disparities in the United States M. Qiu et al. 10.1126/sciadv.abn8762
256. Health burdens related to emission sources and cross-provincial air pollution in China W. Hu et al. 10.1038/s41612-024-00869-x
257. The Orbiting Carbon Observatory-2 (OCO-2) and in situ CO2 data suggest a larger seasonal amplitude of the terrestrial carbon cycle compared to many dynamic global vegetation models R. Lei et al. 10.1016/j.rse.2024.114326
258. Source Attribution of Health Benefits from Air Pollution Abatement in Canada and the United States: An Adjoint Sensitivity Analysis A. Pappin & A. Hakami 10.1289/ehp.1205561
259. Toronto area ozone: Long‐term measurements and modeled sources of poor air quality events C. Whaley et al. 10.1002/2014JD022984
260. 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
261. Estimates of the Global Burden of Ambient PM2.5, Ozone, and NO2 on Asthma Incidence and Emergency Room Visits S. Anenberg et al. 10.1289/EHP3766
262. High-Resolution Mapping of Sources Contributing to Urban Air Pollution Using Adjoint Sensitivity Analysis: Benzene and Diesel Black Carbon L. Bastien et al. 10.1021/acs.est.5b00686
263. A comparison of posterior atmospheric CO2 adjustments obtained from in situ and GOSAT constrained flux inversions S. Polavarapu et al. 10.5194/acp-18-12011-2018
264. The capabilities of the adjoint of GEOS-Chem model to support HEMCO emission inventories and MERRA-2 meteorological data Z. Tang et al. 10.5194/gmd-16-6377-2023
265. Global satellite-driven estimates of heterotrophic respiration A. Konings et al. 10.5194/bg-16-2269-2019
266. Sources of nitrogen deposition in Federal Class I areas in the US H. Lee et al. 10.5194/acp-16-525-2016
267. Impacts of global NOx inversions on NO2 and ozone simulations Z. Qu et al. 10.5194/acp-20-13109-2020
268. Efficacy of dust aerosol forecasts for East Asia using the adjoint of GEOS-Chem with ground-based observations J. Jeong & R. Park 10.1016/j.envpol.2017.12.025
269. A data-driven supervised machine learning approach to estimating global ambient air pollution concentrations with associated prediction intervals L. Berrisford et al. 10.1098/rsos.241288
270. Adjoint inversion modeling of Asian dust emission using lidar observations K. Yumimoto et al. 10.5194/acp-8-2869-2008
271. Source-receptor relationship of transboundary particulate matter pollution between China, South Korea and Japan: Approaches, current understanding and limitations J. Liu et al. 10.1080/10643389.2021.1964308
272. New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes H. Worden et al. 10.5194/acp-19-13569-2019
273. 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
274. Top-down constraints on global N2O emissions at optimal resolution: application of a new dimension reduction technique K. Wells et al. 10.5194/acp-18-735-2018
275. Public health costs accounting of inorganic PM2.5 pollution in metropolitan areas of the United States using a risk-based source-receptor model J. Heo et al. 10.1016/j.envint.2017.06.006
276. Tracking a Severe Pollution Event in Beijing in December 2016 with the GRAPES–CUACE Adjoint Model C. Wang et al. 10.1007/s13351-018-7062-5
277. Atmospheric Simulations of Total Column CO2 Mole Fractions from Global to Mesoscale within the Carbon Monitoring System Flux Inversion Framework M. Butler et al. 10.3390/atmos11080787
278. Global sensitivity analysis of GEOS-Chem modeled ozone and hydrogen oxides during the INTEX campaigns K. Christian et al. 10.5194/acp-18-2443-2018
279. Impacts of updated emission inventories on source apportionment of fine particle and ozone over the southeastern U.S. Y. Zhang et al. 10.1016/j.atmosenv.2014.01.035
280. Elucidating emissions control strategies for ozone to protect human health and public welfare within the continental United States C. Lyu et al. 10.1088/1748-9326/ab5e05
281. Managing Smoke Risk from Wildland Fires: Northern California as a Case Study K. Chung et al. 10.1021/acs.est.5c01914
282. Development of a variational flux inversion system (INVICAT v1.0) using the TOMCAT chemical transport model C. Wilson et al. 10.5194/gmd-7-2485-2014
283. Intercontinental source attribution of ozone pollution at western U.S. sites using an adjoint method L. Zhang et al. 10.1029/2009GL037950
284. Persistent sensitivity of Asian aerosol to emissions of nitrogen oxides S. Kharol et al. 10.1002/grl.50234
285. Sensitivities of Ozone Air Pollution in the Beijing–Tianjin–Hebei Area to Local and Upwind Precursor Emissions Using Adjoint Modeling X. Wang et al. 10.1021/acs.est.1c00131
286. Changes in US background ozone associated with the 2011 turnaround in Chinese NOx emissions K. Miyazaki et al. 10.1088/2515-7620/ac619b
287. Development of an adjoint model of GRAPES–CUACE and its application in tracking influential haze source areas in north China X. An et al. 10.5194/gmd-9-2153-2016
288. Global health benefits of policies to reduce on-road vehicle pollution through 2040 L. Jin et al. 10.1088/1748-9326/adcd87
289. Investigating the sensitivity of surface-level nitrate seasonality in Antarctica to primary sources using a global model H. Lee et al. 10.1016/j.atmosenv.2014.03.003
290. Sensitivity analysis of atmospheric oxidation capacity in Beijing based on the GRAPES-CUACE adjoint model C. Wang et al. 10.1016/j.atmosenv.2023.119641
291. The influence of boreal biomass burning emissions on the distribution of tropospheric ozone over North America and the North Atlantic during 2010 M. Parrington et al. 10.5194/acp-12-2077-2012
292. Application of an adjoint neighborhood‐scale chemistry transport model to the attribution of primary formaldehyde at Lynchburg Ferry during TexAQS II E. Olaguer 10.1002/jgrd.50406
293. Impacts and mitigation of excess diesel-related NOx emissions in 11 major vehicle markets S. Anenberg et al. 10.1038/nature22086
294. Impacts of local vs. trans-boundary emissions from different sectors on PM2.5 exposure in South Korea during the KORUS-AQ campaign J. Choi et al. 10.1016/j.atmosenv.2019.02.008
295. Adjoint-based computation of U.S. nationwide ozone exposure isopleths A. Ashok & S. Barrett 10.1016/j.atmosenv.2016.03.025
296. Impact of absorbing aerosol deposition on snow albedo reduction over the southern Tibetan plateau based on satellite observations W. Lee et al. 10.1007/s00704-016-1860-4
297. GCAP 2.0: a global 3-D chemical-transport model framework for past, present, and future climate scenarios L. Murray et al. 10.5194/gmd-14-5789-2021
298. Air quality impacts of crop residue burning in India and mitigation alternatives R. Lan et al. 10.1038/s41467-022-34093-z
299. Ammonia emissions in the United States, European Union, and China derived by high‐resolution inversion of ammonium wet deposition data: Interpretation with a new agricultural emissions inventory (MASAGE_NH3) F. Paulot et al. 10.1002/2013JD021130
300. Increasing the Use of Earth Science Data and Models in Air Quality Management J. Milford & D. Knight 10.1080/10962247.2016.1248303
301. Aircraft-based inversions quantify the importance of wetlands and livestock for Upper Midwest methane emissions X. Yu et al. 10.5194/acp-21-951-2021
302. Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020) J. Liu et al. 10.5194/essd-13-299-2021
303. High-resolution inversion of methane emissions in the Southeast US using SEAC4RS aircraft observations of atmospheric methane: anthropogenic and wetland sources J. Sheng et al. 10.5194/acp-18-6483-2018
304. Evaluating GPP and Respiration Estimates Over Northern Midlatitude Ecosystems Using Solar‐Induced Fluorescence and Atmospheric CO2 Measurements B. Byrne et al. 10.1029/2018JG004472
305. How Do Brazilian Fires Affect Air Pollution and Public Health? M. Marlier et al. 10.1029/2020GH000331
306. Reduced-cost construction of Jacobian matrices for high-resolution inversions of satellite observations of atmospheric composition H. Nesser et al. 10.5194/amt-14-5521-2021
307. Global, high-resolution, reduced-complexity air quality modeling for PM2.5 using InMAP (Intervention Model for Air Pollution) S. Thakrar et al. 10.1371/journal.pone.0268714
308. Improving present day and future estimates of anthropogenic sectoral emissions and the resulting air quality impacts in Africa F. Lacey et al. 10.1039/C7FD00011A
309. Adjoint inverse modeling of dust emission and transport over East Asia K. Yumimoto et al. 10.1029/2006GL028551
310. An adjoint sensitivity analysis and 4D-Var data assimilation study of Texas air quality L. Zhang et al. 10.1016/j.atmosenv.2008.03.048
311. Air Contamination by Mercury, Emissions and Transformations—a Review B. Gworek et al. 10.1007/s11270-017-3311-y
312. Predicting air quality: Improvements through advanced methods to integrate models and measurements G. Carmichael et al. 10.1016/j.jcp.2007.02.024
313. Data assimilation of dust aerosol observations for the CUACE/dust forecasting system T. Niu et al. 10.5194/acp-8-3473-2008