183 citations as recorded by crossref.

1. Dynamic harmonization of source-oriented and receptor models for source apportionment X. Zhang et al. 10.1016/j.scitotenv.2022.160312
2. 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
3. Effects of a priori profile shape assumptions on comparisons between satellite NO<sub>2</sub> columns and model simulations M. Cooper et al. 10.5194/acp-20-7231-2020
4. Assessing impacts on rice production and quantifying economic cost losses with PM2.5–based damage – A case of the Long Xuyen Quadrangle, Vietnam Mekong Delta L. Ta Bui & P. Hoang Nguyen 10.1016/j.compag.2023.108570
5. Global satellite analysis of the relation between aerosols and short-lived trace gases J. Veefkind et al. 10.5194/acp-11-1255-2011
6. 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
7. Monthly top‐down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis Z. Qu et al. 10.1002/2016JD025852
8. Impacts of bromine and iodine chemistry on tropospheric OH and HO<sub>2</sub>: comparing observations with box and global model perspectives D. Stone et al. 10.5194/acp-18-3541-2018
9. Application of Surface Spline Interpolation Method in Parameter Estimation of a PM2.5 Transport Adjoint Model N. Li et al. 10.1155/2018/6231271
10. 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
11. A Practical Method to Estimate Information Content in the Context of 4D-Var Data Assimilation K. Singh et al. 10.1137/120884523
12. A new inverse modeling approach for emission sources based on the DDM-3D and 3DVAR techniques: an application to air quality forecasts in the Beijing–Tianjin–Hebei region X. Cheng et al. 10.5194/acp-21-13747-2021
13. Air quality modeling in East Asia: present issues and future directions R. Park & S. Kim 10.1007/s13143-014-0030-9
14. Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach Y. Hu et al. 10.5194/acp-14-5415-2014
15. 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
16. 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
17. Source attribution of particulate matter pollution over North China with the adjoint method L. Zhang et al. 10.1088/1748-9326/10/8/084011
18. Spatial sensitivities of human health risk to intercontinental and high-altitude pollution J. Koo et al. 10.1016/j.atmosenv.2013.01.025
19. Four-dimensional variational inversion of black carbon emissions during ARCTAS-CARB with WRFDA-Chem J. Guerrette & D. Henze 10.5194/acp-17-7605-2017
20. 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
21. 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
22. Impacts of model resolution on predictions of air quality and associated health exposure in Nanjing, China T. Liu et al. 10.1016/j.chemosphere.2020.126515
23. Planning from a Future Vision: Inverse Modeling in Spatial Planning A. Grêt-Regamey & R. Crespo 10.1068/b37083
24. Atmospheric nitrogen deposition to the northwestern Pacific: seasonal variation and source attribution Y. Zhao et al. 10.5194/acp-15-10905-2015
25. Improvement of PM10 prediction in East Asia using inverse modeling Y. Koo et al. 10.1016/j.atmosenv.2015.02.004
26. Improvement of PM2.5 forecast over China by the joint adjustment of initial conditions and emissions with the NLS-4DVar method S. Zhang et al. 10.1016/j.atmosenv.2021.118896
27. Global and Brazilian Carbon Response to El Niño Modoki 2011–2010 K. Bowman et al. 10.1002/2016EA000204
28. Impacts of transported background pollutants on summertime western US air quality: model evaluation, sensitivity analysis and data assimilation M. Huang et al. 10.5194/acp-13-359-2013
29. Application of direct regularization techniques and bounded–variable least squares for inverse modeling of an urban emissions inventory A. Vanoye & A. Mendoza 10.5094/APR.2014.027
30. Air Pollution Impact in the Area Around Coal-fired Power Plant in ChungNam S. Kim et al. 10.5572/KOSAE.2024.40.1.149
31. Adjoint sensitivity of global cloud droplet number to aerosol and dynamical parameters V. Karydis et al. 10.5194/acp-12-9041-2012
32. Air Quality Response Modeling for Decision Support D. Cohan & S. Napelenok 10.3390/atmos2030407
33. 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
34. Novel estimation of aerosol processes with particle size distribution measurements: a case study with the TOMAS algorithm v1.0.0 D. McGuffin et al. 10.5194/gmd-14-1821-2021
35. 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
36. The continental source of glyoxal estimated by the synergistic use of spaceborne measurements and inverse modelling T. Stavrakou et al. 10.5194/acp-9-8431-2009
37. 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
38. Will the role of intercontinental transport change in a changing climate? T. Glotfelty et al. 10.5194/acp-14-9379-2014
39. 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
40. Sources of nitrogen deposition in Federal Class I areas in the US H. Lee et al. 10.5194/acp-16-525-2016
41. Sources and Impacts of Atmospheric NH3: Current Understanding and Frontiers for Modeling, Measurements, and Remote Sensing in North America L. Zhu et al. 10.1007/s40726-015-0010-4
42. 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
43. Top‐down estimate of methane emissions in California using a mesoscale inverse modeling technique: The South Coast Air Basin Y. Cui et al. 10.1002/2014JD023002
44. Comparing mesoscale chemistry-transport model and remote-sensed Aerosol Optical Depth C. Carnevale et al. 10.1016/j.atmosenv.2010.10.029
45. Air pollutant emissions from global food systems are responsible for environmental impacts, crop losses and mortality M. Crippa et al. 10.1038/s43016-022-00615-7
46. Air Pollutants Tracing Model using Perceptron Neural Network and Non-negative Least Square S. Yu & H. Kwon 10.9717/kmms.2013.16.12.1465
47. Atmospheric reduced nitrogen: Sources, transformations, effects, and management C. Driscoll et al. 10.1080/10962247.2024.2342765
48. Assessing remote polarimetric measurement sensitivities to aerosol emissions using the geos-chem adjoint model B. Meland et al. 10.5194/amt-6-3441-2013
49. 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
50. Response of Global Particulate-Matter-Related Mortality to Changes in Local Precursor Emissions C. Lee et al. 10.1021/acs.est.5b00873
51. Sources of PM2.5 exposure and health benefits of clean air actions in Shanghai Y. Gu et al. 10.1016/j.envint.2025.109259
52. Sources and Processes Contributing to Nitrogen Deposition: An Adjoint Model Analysis Applied to Biodiversity Hotspots Worldwide F. Paulot et al. 10.1021/es3027727
53. A novel hybrid model for hourly PM2.5 prediction considering air pollution factors, meteorological parameters and GNSS-ZTD F. Wu et al. 10.1016/j.envsoft.2023.105780
54. The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part I: System Description and Data Assimilation Evaluation C. Randles et al. 10.1175/JCLI-D-16-0609.1
55. The High Order Conservative Method for the Parameters Estimation in a PM2.5 Transport Adjoint Model N. Li et al. 10.1155/2017/4626585
56. Air pollution in Asia K. Vadrevu et al. 10.1016/j.envpol.2014.09.006
57. Impacts of global NO<sub><i>x</i></sub> inversions on NO<sub>2</sub> and ozone simulations Z. Qu et al. 10.5194/acp-20-13109-2020
58. 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
59. A Deep Learning PM2.5 Hybrid Prediction Model Based on Clustering–Secondary Decomposition Strategy T. Zeng et al. 10.3390/electronics13214242
60. Modeling the diurnal variability of agricultural ammonia in Bakersfield, California, during the CalNex campaign C. Lonsdale et al. 10.5194/acp-17-2721-2017
61. Identifying the ozone-neutral aircraft cruise altitude T. Fritz et al. 10.1016/j.atmosenv.2022.119057
62. Interferences with aerosol acidity quantification due to gas-phase ammonia uptake onto acidic sulfate filter samples B. Nault et al. 10.5194/amt-13-6193-2020
63. On numerical computation of sensitivity of response functions to system inputs in variational data assimilation problems V. Shutyaev et al. 10.1515/rnam-2022-0004
64. Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates L. Zhang et al. 10.5194/acp-18-339-2018
65. Advances in understanding, models and parameterizations of biosphere-atmosphere ammonia exchange C. Flechard et al. 10.5194/bg-10-5183-2013
66. Substantial Underestimation of Post-Harvest Burning Emissions in the North China Plain Revealed by Multi-Species Space Observations T. Stavrakou et al. 10.1038/srep32307
67. Top-down estimates of biomass burning emissions of black carbon in the Western United States Y. Mao et al. 10.5194/acp-14-7195-2014
68. Monthly Patterns of Ammonia Over the Contiguous United States at 2‐km Resolution R. Wang et al. 10.1029/2020GL090579
69. 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
70. Current Status and Development of Modeling Techniques for Forecasting and Monitoring of Air Quality over East Asia R. Park et al. 10.5572/KOSAE.2013.29.4.407
71. 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
72. 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
73. Hourly PM2.5 concentration forecasting based on mode decomposition-recombination technique and ensemble learning approach in severe haze episodes of China W. Sun & Z. Li 10.1016/j.jclepro.2020.121442
74. Evaluation of a regional air-quality model with bidirectional NH<sub>3</sub> exchange coupled to an agroecosystem model J. Bash et al. 10.5194/bg-10-1635-2013
75. Quantification of SO2 Emission Variations and the Corresponding Prediction Improvements Made by Assimilating Ground-Based Observations J. Mo et al. 10.3390/atmos13030470
76. Atmospheric ammonia and particulate inorganic nitrogen over the United States C. Heald et al. 10.5194/acp-12-10295-2012
77. Estimation of direct emissions and atmospheric processing of reactive mercury using inverse modeling B. de Foy et al. 10.1016/j.atmosenv.2013.11.070
78. Impacts of improved modeling resolution on the simulation of meteorology, air quality, and human exposure to PM2.5, O3 in Beijing, China H. Tao et al. 10.1016/j.jclepro.2019.118574
79. 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
80. Application of Adjoint Data Assimilation Method to Atmospheric Aerosol Transport Problems M. Xu et al. 10.1155/2017/5865403
81. Improving WRF-Chem PM2.5 predictions by combining data assimilation and deep-learning-based bias correction X. Ma et al. 10.1016/j.envint.2024.109199
82. 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
83. 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
84. 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
85. Spatio-temporal modelling and related factors analysis of PM2.5 pollution: A case study of Ho Chi Minh city, Vietnam L. Bui et al. 10.1016/j.pce.2023.103417
86. Assessing public health burden associated with exposure to ambient black carbon in the United States Y. Li et al. 10.1016/j.scitotenv.2015.08.129
87. Persistent sensitivity of Asian aerosol to emissions of nitrogen oxides S. Kharol et al. 10.1002/grl.50234
88. 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
89. Comparative inverse analysis of satellite (MODIS) and ground (PM10) observations to estimate dust emissions in East Asia B. Ku & R. Park 10.1007/s13143-013-0002-5
90. 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
91. Stochastic reconstruction of multiple source atmospheric contaminant dispersion events D. Wade & I. Senocak 10.1016/j.atmosenv.2013.02.051
92. 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
93. 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
94. Quantifying global terrestrial methanol emissions using observations from the TES satellite sensor K. Wells et al. 10.5194/acp-14-2555-2014
95. 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
96. 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
97. Variational chemical data assimilation with approximate adjoints K. Singh & A. Sandu 10.1016/j.cageo.2011.07.003
98. 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
99. Adjoint-based computation of U.S. nationwide ozone exposure isopleths A. Ashok & S. Barrett 10.1016/j.atmosenv.2016.03.025
100. Comparisons of Three-Dimensional Variational Data Assimilation and Model Output Statistics in Improving Atmospheric Chemistry Forecasts C. Ma et al. 10.1007/s00376-017-7179-y
101. 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
102. Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. 10.5194/acp-19-14585-2019
103. 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
104. Construction of non-diagonal background error covariance matrices for global chemical data assimilation K. Singh et al. 10.5194/gmd-4-299-2011
105. Sensitivity analysis applied to a variational data assimilation of a simulated pollution transport problem F. Le Dimet et al. 10.1002/fld.4274
106. High-resolution mapping of nitrogen oxide emissions in large US cities from TROPOMI retrievals of tropospheric nitrogen dioxide columns F. Liu et al. 10.5194/acp-24-3717-2024
107. 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
108. NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations R. Plauchu et al. 10.5194/acp-24-8139-2024
109. SO2 Emission Estimates Using OMI SO2 Retrievals for 2005–2017 Z. Qu et al. 10.1029/2019JD030243
110. Assessment of impact of unaccounted emission on ambient concentration using DEHM and AERMOD in combination with WRF A. Kumar et al. 10.1016/j.atmosenv.2016.08.024
111. Estimating sources of elemental and organic carbon and their temporal emission patterns using a least squares inverse model and hourly measurements from the St. Louis–Midwest supersite B. de Foy et al. 10.5194/acp-15-2405-2015
112. ANISORROPIA: the adjoint of the aerosol thermodynamic model ISORROPIA S. Capps et al. 10.5194/acp-12-527-2012
113. Top-down estimate of surface flux in the Los Angeles Basin using a mesoscale inverse modeling technique: assessing anthropogenic emissions of CO, NO<sub>x</sub> and CO<sub>2</sub> and their impacts J. Brioude et al. 10.5194/acp-13-3661-2013
114. 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
115. Impact of model resolution and its representativeness consistency with observations on operational prediction of PM2.5 with 3D-VAR data assimilation Y. Wei et al. 10.1016/j.apr.2024.102141
116. The influence of air quality model resolution on health impact assessment for fine particulate matter and its components Y. Li et al. 10.1007/s11869-015-0321-z
117. Assimilating a blended dataset of satellite-based estimations and in situ observations to improve WRF-Chem PM2.5 prediction X. Ma et al. 10.1016/j.atmosenv.2023.120284
118. Improved Attribution of Climate Forcing to Emissions D. Shindell et al. 10.1126/science.1174760
119. The impact of observing characteristics on the ability to predict ozone under varying polluted photochemical regimes P. Hamer et al. 10.5194/acp-15-10645-2015
120. 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
121. Importance of Bias Correction in Data Assimilation of Multiple Observations Over Eastern China Using WRF‐Chem/DART C. Ma et al. 10.1029/2019JD031465
122. 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
123. 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
124. Inferring regional sources and sinks of atmospheric CO<sub>2</sub> from GOSAT XCO<sub>2</sub> data F. Deng et al. 10.5194/acp-14-3703-2014
125. Impact of “ultra low emission” technology of coal-fired power on PM2.5 pollution in the Jing-Jin-Ji Region X. Liu et al. 10.1007/s11708-017-0518-y
126. 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
127. Sensitivity of inorganic aerosol radiative effects to U.S. emissions J. Holt et al. 10.1002/2016JD025890
128. Improving PM<sub>2. 5</sub> 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
129. 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
130. Consumption-based PM2.5-related premature mortality in the Beijing-Tianjin-Hebei region X. Li et al. 10.1016/j.scitotenv.2021.149575
131. Impacts of transboundary air pollution and local emissions on PM 2.5 pollution in the Pearl River Delta region of China and the public health, and the policy implications X. Hou et al. 10.1088/1748-9326/aaf493
132. Changes in air pollutant emissions in China during two clean-air action periods derived from the newly developed Inversed Emission Inventory for Chinese Air Quality (CAQIEI) L. Kong et al. 10.5194/essd-16-4351-2024
133. Significant atmospheric aerosol pollution caused by world food cultivation S. Bauer et al. 10.1002/2016GL068354
134. 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
135. 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
136. Assessing Vertical Allocation of Wildfire Smoke Emissions Using Observational Constraints From Airborne Lidar in the Western U.S. X. Ye et al. 10.1029/2022JD036808
137. 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
138. Profiling tropospheric CO<sub>2</sub> using Aura TES and TCCON instruments L. Kuai et al. 10.5194/amt-6-63-2013
139. Top-down estimate of anthropogenic emission inventories and their interannual variability in Houston using a mesoscale inverse modeling technique J. Brioude et al. 10.1029/2011JD016215
140. Reconsidering emissions of ammonia from chemical fertilizer usage in Midwest USA S. Balasubramanian et al. 10.1002/2015JD023219
141. 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
142. Effects of mineral dust on global atmospheric nitrate concentrations V. Karydis et al. 10.5194/acp-16-1491-2016
143. Simplified aerosol modeling for variational data assimilation N. Huneeus et al. 10.5194/gmd-2-213-2009
144. A novel hourly PM2.5 concentration prediction model based on feature selection, training set screening, and mode decomposition-reorganization W. Sun & Z. Xu 10.1016/j.scs.2021.103348
145. Inverse modeling of NH3sources using CrIS remote sensing measurements H. Cao et al. 10.1088/1748-9326/abb5cc
146. 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
147. Air pollution from wildfires and human health vulnerability in Alaskan communities under climate change S. Woo et al. 10.1088/1748-9326/ab9270
148. Satellite monitoring of ammonia: A case study of the San Joaquin Valley L. Clarisse et al. 10.1029/2009JD013291
149. Public health impacts of excess NO x emissions from Volkswagen diesel passenger vehicles in Germany G. Chossière et al. 10.1088/1748-9326/aa5987
150. Impact of the isoprene photochemical cascade on tropical ozone F. Paulot et al. 10.5194/acp-12-1307-2012
151. Simulation of atmospheric N<sub>2</sub>O with GEOS-Chem and its adjoint: evaluation of observational constraints K. Wells et al. 10.5194/gmd-8-3179-2015
152. Hybrid IFDMB/4D-Var inverse modeling to constrain the spatiotemporal distribution of CO and NO2 emissions using the CMAQ adjoint model J. Moon et al. 10.1016/j.atmosenv.2024.120490
153. Sector‐Based Top‐Down Estimates of NOx, SO2, and CO Emissions in East Asia Z. Qu et al. 10.1029/2021GL096009
154. Satellite contributions to the quantitative characterization of biomass burning for climate modeling C. Ichoku et al. 10.1016/j.atmosres.2012.03.007
155. 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
156. 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
157. Global evaluation of ammonia bidirectional exchange and livestock diurnal variation schemes L. Zhu et al. 10.5194/acp-15-12823-2015
158. Aerosol optical depth assimilation for a size-resolved sectional model: impacts of observationally constrained, multi-wavelength and fine mode retrievals on regional scale analyses and forecasts P. Saide et al. 10.5194/acp-13-10425-2013
159. Inequality of household consumption and air pollution-related deaths in China H. Zhao et al. 10.1038/s41467-019-12254-x
160. Detection of critical PM<sub>2.5</sub> 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
161. 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
162. Decline in atmospheric nitrogen deposition in China between 2010 and 2020 L. Liu et al. 10.1038/s41561-024-01484-4
163. Constraining East Asia ammonia emissions through satellite observations and iterative Finite Difference Mass Balance (iFDMB) and investigating its impact on inorganic fine particulate matter M. Momeni et al. 10.1016/j.envint.2024.108473
164. High-resolution hybrid inversion of IASI ammonia columns to constrain US ammonia emissions using the CMAQ adjoint model Y. Chen et al. 10.5194/acp-21-2067-2021
165. Application of Dynamically Constrained Interpolation Methodology in Simulating National-Scale Spatial Distribution of PM2.5 Concentrations in China N. Li et al. 10.3390/atmos12020272
166. Sources of PM2.5‐Associated Health Risks in Europe and Corresponding Emission‐Induced Changes During 2005–2015 Y. Gu et al. 10.1029/2022GH000767
167. 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
168. Effects of atmospheric transport and trade on air pollution mortality in China H. Zhao et al. 10.5194/acp-17-10367-2017
169. Constraining surface emissions of air pollutants using inverse modelling: method intercomparison and a new two-step two-scale regularization approach P. Saide et al. 10.1111/j.1600-0889.2011.00529.x
170. The cascade of global trade to large climate forcing over the Tibetan Plateau glaciers K. Yi et al. 10.1038/s41467-019-10876-9
171. Hybrid Mass Balance/4D‐Var Joint Inversion of NOx and SO2 Emissions in East Asia Z. Qu et al. 10.1029/2018JD030240
172. Impacts of midlatitude precursor emissions and local photochemistry on ozone abundances in the Arctic T. Walker et al. 10.1029/2011JD016370
173. The Parameters Estimation for a PM2.5Transport Model with the Adjoint Method D. Wang et al. 10.1155/2016/9873815
174. Synthesizing Scientific Progress: Outcomes from U.S. EPA’s Carbonaceous Aerosols and Source Apportionment STAR Grants K. Wagstrom et al. 10.1021/es500782k
175. Origin and radiative forcing of black carbon transported to the Himalayas and Tibetan Plateau M. Kopacz et al. 10.5194/acp-11-2837-2011
176. On variational data assimilation for estimating the model initial conditions and emission fluxes for short-term forecasting of SOx concentrations J. Vira & M. Sofiev 10.1016/j.atmosenv.2011.09.066
177. Emission Ratios for Ammonia and Formic Acid and Observations of Peroxy Acetyl Nitrate (PAN) and Ethylene in Biomass Burning Smoke as Seen by the Tropospheric Emission Spectrometer (TES) M. Alvarado et al. 10.3390/atmos2040633
178. 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
179. Assessing the impact of anthropogenic pollution on isoprene-derived secondary organic aerosol formation in PM<sub>2.5</sub> collected from the Birmingham, Alabama, ground site during the 2013 Southern Oxidant and Aerosol Study W. Rattanavaraha et al. 10.5194/acp-16-4897-2016
180. Regional NOx emission inversion through a four-dimensional variational approach using SCIAMACHY tropospheric NO2 column observations T. Chai et al. 10.1016/j.atmosenv.2009.06.052
181. Distributed input observers to integrate satellite data with 3-D atmospheric models D. McGuffin et al. 10.1016/j.compchemeng.2019.106525
182. Effect of changes in climate and emissions on future sulfate‐nitrate‐ammonium aerosol levels in the United States H. Pye et al. 10.1029/2008JD010701
183. Reactive nitrogen in atmospheric emission inventories S. Reis et al. 10.5194/acp-9-7657-2009