91 citations as recorded by crossref.

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5. Simulating lightning NO production in CMAQv5.2: performance evaluations D. Kang et al. 10.5194/gmd-12-4409-2019
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8. Episode Analysis of Deposition of Radiocesium from the Fukushima Daiichi Nuclear Power Plant Accident Y. Morino et al. 10.1021/es304620x
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13. Biomass burning related ozone damage on vegetation over the Amazon forest: a model sensitivity study F. Pacifico et al. 10.5194/acp-15-2791-2015
14. Method for Fusing Observational Data and Chemical Transport Model Simulations To Estimate Spatiotemporally Resolved Ambient Air Pollution M. Friberg et al. 10.1021/acs.est.5b05134
15. Atmospheric deposition of nitrogen and sulfur over southern Europe with focus on the Mediterranean and the Black Sea U. Im et al. 10.1016/j.atmosenv.2013.09.048
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17. MICS-Asia III: overview of model intercomparison and evaluation of acid deposition over Asia S. Itahashi et al. 10.5194/acp-20-2667-2020
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22. Sensitivity of the Weather Research and Forecast/Community Multiscale Air Quality modeling system to MODIS LAI, FPAR, and albedo L. Ran et al. 10.1002/2015JD023424
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26. “Transference ratios” to predict total oxidized sulfur and nitrogen deposition – Part II, modeling results J. Sickles et al. 10.1016/j.atmosenv.2013.05.015
27. Modeling ammonia volatilization following the application of synthetic fertilizers to cultivated uplands with calcareous soils using an improved DNDC biogeochemistry model S. Li et al. 10.1016/j.scitotenv.2018.12.379
28. Modeling dry and wet deposition of sulfate, nitrate, and ammonium ions in Jiuzhaigou National Nature Reserve, China using a source-oriented CMAQ model: Part I. Base case model results X. Qiao et al. 10.1016/j.scitotenv.2015.05.108
29. Characterization of the Concentrations of Volatile Organic Compounds in the Romanian Littoral using General Regression Neural Networks: A Case Study A. Bărbulescu & L. Barbeş 10.1080/00032719.2015.1027897
30. Compilation and interpretation of photochemical model performance statistics published between 2006 and 2012 H. Simon et al. 10.1016/j.atmosenv.2012.07.012
31. A reactive nitrogen budget for Lake Michigan M. Rowe et al. 10.1016/j.jglr.2013.11.005
32. Lightning NO x and Impacts on Air Quality L. Murray 10.1007/s40726-016-0031-7
33. Development and evaluation of an ammonia bidirectional flux parameterization for air quality models J. Pleim et al. 10.1002/jgrd.50262
34. Season-long ammonia flux measurements above fertilized corn in central Illinois, USA, using relaxed eddy accumulation A. Nelson et al. 10.1016/j.agrformet.2017.03.010
35. A Novel Ensemble Design for Probabilistic Predictions of Fine Particulate Matter Over the Contiguous United States (CONUS) R. Kumar et al. 10.1029/2020JD032554
36. Epoxide as a precursor to secondary organic aerosol formation from isoprene photooxidation in the presence of nitrogen oxides Y. Lin et al. 10.1073/pnas.1221150110
37. Lessons learned from the Bay Region Atmospheric Chemistry Experiment (BRACE) and implications for nitrogen management of Tampa Bay N. Poor et al. 10.1016/j.atmosenv.2012.12.030
38. Temporalization of Peak Electric Generation Particulate Matter Emissions during High Energy Demand Days C. Farkas et al. 10.1021/es5050248
39. Understanding of the formation mechanisms of ozone and particulate matter at a fine scale over the southeastern U.S.: Process analyses and responses to future-year emissions X. Liu & Y. Zhang 10.1016/j.atmosenv.2013.03.057
40. Partitioning of HNO3, H2O2 and SO2 to cloud ice: Simulations with CMAQ B. Marmo et al. 10.1016/j.atmosenv.2013.12.041
41. Ammonia flux measurements above a corn canopy using relaxed eddy accumulation and a flux gradient system A. Nelson et al. 10.1016/j.agrformet.2018.10.003
42. Understanding the impact of recent advances in isoprene photooxidation on simulations of regional air quality Y. Xie et al. 10.5194/acp-13-8439-2013
43. A comparison of sea salt emission parameterizations in northwestern Europe using a chemistry transport model setup D. Neumann et al. 10.5194/acp-16-9905-2016
44. Modeled Full‐Flight Aircraft Emissions Impacts on Air Quality and Their Sensitivity to Grid Resolution L. Vennam et al. 10.1002/2017JD026598
45. Source regions contributing to excess reactive nitrogen deposition in the Greater Yellowstone Area (GYA) of the United States R. Zhang et al. 10.5194/acp-18-12991-2018
46. Modeling wet deposition of acid substances over the PRD region in China X. Lu et al. 10.1016/j.atmosenv.2015.09.035
47. Long-term regional trends of nitrogen and sulfur deposition in the United States from 2002 to 2017 S. Benish et al. 10.5194/acp-22-12749-2022
48. Impacts of Atmospheric Nitrogen Deposition on Surface Waters of the Western North Atlantic Mitigated by Multiple Feedbacks P. St‐Laurent et al. 10.1002/2017JC013072
49. Using land use variable information and a random forest approach to correct spatial mean bias in fused CMAQ fields for particulate and gas species N. Senthilkumar et al. 10.1016/j.atmosenv.2022.118982
50. Improving Below‐Cloud Scavenging Coefficients of Sulfate, Nitrate, and Ammonium in PM2.5 and Implications for Numerical Simulation and Air Pollution Control L. Yao et al. 10.1029/2023JD039487
51. Insights into seasonal variation of wet deposition over southeast Asia via precipitation adjustment from the findings of MICS-Asia III S. Itahashi et al. 10.5194/acp-21-8709-2021
52. Co-benefits of global and regional greenhouse gas mitigation for US air quality in 2050 Y. Zhang et al. 10.5194/acp-16-9533-2016
53. Ocean Circulation Causes Strong Variability in the Mid‐Atlantic Bight Nitrogen Budget M. Friedrichs et al. 10.1029/2018JC014424
54. A Measurement‐Model Fusion Approach for Improved Wet Deposition Maps and Trends Y. Zhang et al. 10.1029/2018JD029051
55. Greater Contribution From Agricultural Sources to Future Reactive Nitrogen Deposition in the United States Y. Chen et al. 10.1029/2019EF001453
56. Evaluation of atmospheric nitrogen deposition model performance in the context of U.S. critical load assessments J. Williams et al. 10.1016/j.atmosenv.2016.11.051
57. Application of watershed deposition tool to estimate from CMAQ simulations the atmospheric deposition of nitrogen to Tampa Bay and its watershed N. Poor et al. 10.1080/10962247.2012.739109
58. Improving Wet and Dry Deposition of Aerosols in WRF‐Chem: Updates to Below‐Cloud Scavenging and Coarse‐Particle Dry Deposition Y. Ryu & S. Min 10.1029/2021MS002792
59. Assessing the Impact of Lightning NOx Emissions in CMAQ Using Lightning Flash Data from WWLLN over the Contiguous United States D. Kang et al. 10.3390/atmos13081248
60. A simple tool for estimating throughfall nitrogen deposition in forests of western North America using lichens H. Root et al. 10.1016/j.foreco.2013.06.028
61. Performance of European chemistry transport models as function of horizontal resolution M. Schaap et al. 10.1016/j.atmosenv.2015.04.003
62. The contribution of wildland fire emissions to deposition in the U S: implications for tree growth and survival in the Northwest S. Koplitz et al. 10.1088/1748-9326/abd26e
63. Long-term air concentrations, wet deposition, and scavenging ratios of inorganic ions, HNO<sub>3</sub>, and SO<sub>2</sub> and assessment of aerosol and precipitation acidity at Canadian rural locations I. Cheng & L. Zhang 10.5194/acp-17-4711-2017
64. Assessing Ecological Risks from Atmospheric Deposition of Nitrogen and Sulfur to US Forests Using Epiphytic Macrolichens L. Geiser et al. 10.3390/d11060087
65. Reconsidering emissions of ammonia from chemical fertilizer usage in Midwest USA S. Balasubramanian et al. 10.1002/2015JD023219
66. Simulating reactive nitrogen, carbon monoxide, and ozone in California during ARCTAS-CARB 2008 with high wildfire activity C. Cai et al. 10.1016/j.atmosenv.2015.12.031
67. Incorporating principal component analysis into air quality model evaluation B. Eder et al. 10.1016/j.atmosenv.2013.10.015
68. Evaluating the Response of Summertime Surface Sulfate to Hydroclimate Variations in the Continental United States: Role of Meteorological Inputs in the GEOS‐Chem Model Y. Xie et al. 10.1029/2018JD029693
69. Reflecting on progress since the 2005 NARSTO emissions inventory report M. Day et al. 10.1080/10962247.2019.1629363
70. Multivariate air pollution prediction modeling with partial missingness R. Boaz et al. 10.1002/env.2592
71. Surface Flux Modeling for Air Quality Applications J. Pleim & L. Ran 10.3390/atmos2030271
72. Epiphytic macrolichen indication of air quality and climate in interior forested mountains of the Pacific Northwest, USA H. Root et al. 10.1016/j.ecolind.2015.01.029
73. A statistical comparison of active and passive ammonia measurements collected at Clean Air Status and Trends Network (CASTNET) sites M. Puchalski et al. 10.1039/C4EM00531G
74. Aspects of uncertainty in total reactive nitrogen deposition estimates for North American critical load applications J. Walker et al. 10.1016/j.scitotenv.2019.06.337
75. Acid rain prediction in the Guangdong-Hong Kong-Macao Greater Bay Area using an explainable machine learning framework Z. Huang et al. 10.1016/j.apr.2024.102201
76. Leveraging physics-based and explainable machine learning approaches to quantify the relative contributions of rain and air pollutants to wet deposition Y. Ryu & S. Min 10.1016/j.scitotenv.2024.172980
77. Long-term trends in total inorganic nitrogen and sulfur deposition in the US from 1990 to 2010 Y. Zhang et al. 10.5194/acp-18-9091-2018
78. Impacts of human alteration of the nitrogen cycle in the US on radiative forcing R. Pinder et al. 10.1007/s10533-012-9787-z
79. Projections of Atmospheric Nitrogen Deposition to the Chesapeake Bay Watershed P. Campbell et al. 10.1029/2019JG005203
80. The food we eat, the air we breathe: a review of the fine particulate matter-induced air quality health impacts of the global food system S. Balasubramanian et al. 10.1088/1748-9326/ac065f
81. A database of atmospheric inorganic nitrogen deposition fluxes in China from satellite monitoring Q. Gao et al. 10.1038/s41597-023-02607-z
82. Evaluation of the Variability in Chemical Transport Model Performance for Deposition and Ambient Concentrations of Nitrogen and Sulfur Compounds B. Koo et al. 10.3390/atmos3030400
83. Evaluation of DeNitrification DeComposition model for estimating ammonia fluxes from chemical fertilizer application S. Balasubramanian et al. 10.1016/j.agrformet.2017.02.006
84. Estimation of monthly bulk nitrate deposition in China based on satellite NO2 measurement by the Ozone Monitoring Instrument L. Liu et al. 10.1016/j.rse.2017.07.005
85. A novel hybrid approach for estimating total deposition in the United States D. Schwede & G. Lear 10.1016/j.atmosenv.2014.04.008
86. Modeling the Processing of Aerosol and Trace Gases in Clouds and Fogs B. Ervens 10.1021/cr5005887
87. Evaluation of the performance of different atmospheric chemical transport models and inter-comparison of nitrogen and sulphur deposition estimates for the UK A. Dore et al. 10.1016/j.atmosenv.2015.08.008
88. Diagnosis of an underestimation of summertime sulfate using the Community Multiscale Air Quality model C. Luo et al. 10.1016/j.atmosenv.2011.06.029
89. High-resolution modelling of air pollution and deposition over the Netherlands with plume, grid and hybrid modelling E. van der Swaluw et al. 10.1016/j.atmosenv.2017.02.009
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