79 citations as recorded by crossref.

1. Surface Radiative Forcing as a Climate-Change Indicator in North India due to the Combined Effects of Dust and Biomass Burning U. Dumka et al. 10.3390/fire6090365
2. Can global warming bring more dust? Y. Zhou et al. 10.1007/s00382-023-06706-w
3. Evaluation of minerals being deposited in the Red Sea using gravimetric, size distribution, and mineralogical analysis of dust deposition samples collected along the Red Sea coastal plain I. Shevchenko et al. 10.1016/j.aeolia.2021.100717
4. Dust emission, transport, and deposition in central Iran and their radiative forcing effects: A numerical simulation S. Hosseini Dehshiri & B. Firoozabadi 10.1016/j.apr.2024.102267
5. Effect of dust on rainfall over the Red Sea coast based on WRF-Chem model simulations S. Parajuli et al. 10.5194/acp-22-8659-2022
6. COVID-19 Lockdown: Impact on PM10 and PM2.5 in Six Megacities in the World Assessed Using NASA’s MERRA-2 Reanalysis S. Said et al. 10.5572/ajae.2021.146
7. Potential source and health risks of black carbon based on MERRA-2 reanalysis data in a typical industrial city of North China Plain H. Yu et al. 10.1016/j.jenvman.2024.120367
8. Characteristics, potential regional sources and health risk of black carbon based on ground observation and MERRA-2 reanalysis data in a coastal city, China J. Zhao et al. 10.1016/j.atmosres.2021.105563
9. Increased Shamal winds and dust activity over the Arabian Peninsula during the COVID-19 lockdown period in 2020 D. Francis et al. 10.1016/j.aeolia.2022.100786
10. Evaluation of MERRA-2 Black Carbon Characteristics and Potential Sources over China M. Mao et al. 10.3390/atmos14091378
11. Synoptic analysis and simulation of a widespread dust event in the Urmia Basin E. Mobarak Hassan et al. 10.1007/s11069-023-06263-9
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13. Calibration of CAMS PM2.5 data over Hungary: a machine learning approach A. Qor-el-aine et al. 10.1088/2515-7620/ad6239
14. Transboundary Wildfire Smoke and Expressed Sentiment: Evidence from Twitter R. Du et al. 10.2139/ssrn.4066034
15. Present-Day PM2.5 over Asia: Simulation and Uncertainty in CMIP6 ESMs X. Su et al. 10.1007/s13351-022-1202-7
16. The Importance of Wind Simulations over Dried Lake Beds for Dust Emissions in the Middle East N. Hamzeh et al. 10.3390/atmos15010024
17. The COVID-19 lockdown induced changes of SO2 pollution in its Human-made global hotspots A. S et al. 10.1016/j.glt.2024.06.003
18. Fine and Coarse Dust Effects on Radiative Forcing, Mass Deposition, and Solar Devices Over the Middle East S. Mostamandi et al. 10.1029/2023JD039479
19. Dust cycle and soiling issues affecting solar energy reductions in Australia using multiple datasets A. Prasad et al. 10.1016/j.apenergy.2022.118626
20. Impact of COVID-19 lockdown on the ambient air-pollutants over the Arabian Peninsula R. Karumuri et al. 10.3389/fenvs.2022.963145
21. Relative contributions of component-segregated aerosols to trends in aerosol optical depth over land (2007–2019): Insights from CAMS aerosol reanalysis H. Zhao et al. 10.1016/j.atmosenv.2024.120676
22. Global Impact of ENSO on Dust Activities with Emphasis on the Key Region from the Arabian Peninsula to Central Asia Y. Huang et al. 10.1029/2020JD034068
23. Characterizing variability and predictability for air pollutants with stochastic models P. Meyer et al. 10.1063/5.0041120
24. Evaluation of SO<sub>2</sub>, SO<sub>4</sub><sup>2−</sup> and an updated SO<sub>2</sub> dry deposition parameterization in the United Kingdom Earth System Model C. Hardacre et al. 10.5194/acp-21-18465-2021
25. Variation Patterns of the ENSO’s Effects on Dust Activity in North Africa, Arabian Peninsula, and Central Asia of the Dust Belt Z. Yin et al. 10.3390/cli10100150
26. Validation and calibration of aerosol optical depth and classification of aerosol types based on multi-source data over China J. Wang et al. 10.1016/j.scitotenv.2023.166603
27. Columnar and surface urban aerosol in the Moscow megacity according to measurements and simulations with the COSMO-ART model N. Chubarova et al. 10.5194/acp-22-10443-2022
28. The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations P. Kiriakidis et al. 10.5194/acp-23-4391-2023
29. Numerical simulations of dust storms originated from dried lakes in central and southwest Asia: The case of Aral Sea and Sistan Basin S. Karami et al. 10.1016/j.aeolia.2021.100679
30. Evaluation of MERRA-2 and CAMS reanalysis for black carbon aerosol in China W. Li et al. 10.1016/j.envpol.2023.123182
31. Long-term spatio-temporal trends in atmospheric aerosols and trace gases over Pakistan using remote sensing M. Javed et al. 10.1007/s11600-023-01143-z
32. Characterization of the major aerosol species over Egypt based on 10 years of CAMS reanalysis data M. Elshora & E. Fayez 10.1016/j.apr.2024.102094
33. Dust cycle, soiling effect and optimum cleaning schedule for PV modules in Iran: A long-term multi-criteria analysis S. Hosseini Dehshiri & B. Firoozabadi 10.1016/j.enconman.2023.117084
34. Molecular Dynamics Modeling of Kaolinite Particle Associations E. Volkova et al. 10.1021/acs.jpcc.1c06598
35. Comparative analysis of CAMS aerosol optical depth data and AERONET observations in the Eastern Mediterranean over 19 years G. Tuna Tuygun & T. Elbir 10.1007/s11356-024-32950-6
36. Aerosol vertical distribution and interactions with land/sea breezes over the eastern coast of the Red Sea from lidar data and high-resolution WRF-Chem simulations S. Parajuli et al. 10.5194/acp-20-16089-2020
37. Temporal and Spatial Variability of Dust in the Urmia Basin, 1990–2019 E. Mobarak Hassan et al. 10.3390/atmos14121761
38. Recent and projected changes in climate patterns in the Middle East and North Africa (MENA) region D. Francis & R. Fonseca 10.1038/s41598-024-60976-w
39. Explaining apparent particle shrinkage related to new particle formation events in western Saudi Arabia does not require evaporation S. Hakala et al. 10.5194/acp-23-9287-2023
40. Editorial: Atmospheric dust: How it affects climate, environment and life on Earth? S. Parajuli et al. 10.3389/fenvs.2022.1058052
41. The role of observation nudging in high-resolution simulations of the 2016 Tunisian dust storm event H. Snoun et al. 10.1007/s41207-024-00629-6
42. Tracing Atmospheric Anthropogenic Black Carbon and Its Potential Radiative Response Over Pan‐Third Pole Region: A Synoptic‐Scale Analysis Using WRF‐Chem M. Rai et al. 10.1029/2021JD035772
43. Improving dust simulations in WRF-Chem v4.1.3 coupled with the GOCART aerosol module A. Ukhov et al. 10.5194/gmd-14-473-2021
44. Transboundary vegetation fire smoke and expressed sentiment: Evidence from Twitter R. Du et al. 10.1016/j.jeem.2024.102928
45. Interannual and Interhemispheric Comparisons of Q2DW Bimodal and Unimodal Structures During the 2003–2020 Summer Period L. Tang & S. Gu 10.1029/2023JA031412
46. Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases M. Bilal et al. 10.1016/j.rse.2021.112617
47. Investigation of a severe frontal dust storm over the Persian Gulf in February 2020 by CAMS model S. Karami et al. 10.1007/s12517-021-08382-8
48. Dust over Saudi Arabia from multisource data: case studies in winter and spring M. Assiri et al. 10.1007/s11869-024-01660-w
49. Generating Fine-Scale Aerosol Data through Downscaling with an Artificial Neural Network Enhanced with Transfer Learning M. Wang et al. 10.3390/atmos13020255
50. An Ensemble Machine Learning Model to Enhance Extrapolation Ability of Predicting Coarse Particulate Matter with High Resolutions in China S. Shi et al. 10.1021/acs.est.4c08610
51. Dust and climate interactions in the Middle East: Spatio-temporal analysis of aerosol optical depth and climatic variables H. Mousavi et al. 10.1016/j.scitotenv.2024.172176
52. Eastward-propagating planetary waves in the polar middle atmosphere L. Tang et al. 10.5194/acp-21-17495-2021
53. Wildfire aerosols and their impact on weather: A case study of the August 2021 fires in Greece using the WRF‐Chem model A. Rovithakis & A. Voulgarakis 10.1002/asl.1267
54. Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections M. Salvaña et al. 10.1080/01621459.2022.2078330
55. Simulation of a Dust‐And‐Rain Event Across the Red Sea Using WRF‐Chem S. Parajuli et al. 10.1029/2022JD038384
56. Trend Analysis for Different Types of Aerosols in Conjugation with Temperatures for the Indian Region During the Post-monsoon Season (1980–2019) H. Yadav et al. 10.1007/s41810-023-00201-9
57. Climate Change and Weather Extremes in the Eastern Mediterranean and Middle East G. Zittis et al. 10.1029/2021RG000762
58. Aerosol characteristics and types in the marine environments surrounding the East Mediterranean - Middle East (EMME) region during the AQABA campaign D. Kaskaoutis et al. 10.1016/j.atmosenv.2023.119633
59. Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China M. Ali et al. 10.1016/j.atmosenv.2022.119297
60. Enhanced urban PM2.5 prediction: Applying quadtree division and time-series transformer with WRF-chem S. Zhang & M. Yu 10.1016/j.atmosenv.2024.120758
61. Correction to: Long-term spatio-temporal trends in atmospheric aerosols and trace gases over Pakistan using remote sensing M. Javed et al. 10.1007/s11600-023-01173-7
62. Spatio-temporal changes of spring-summer dust AOD over the Eastern Mediterranean and the Middle East: Reversal of dust trends and associated meteorological effects A. Shaheen et al. 10.1016/j.atmosres.2022.106509
63. How Does a Pinatubo‐Size Volcanic Cloud Reach the Middle Stratosphere? G. Stenchikov et al. 10.1029/2020JD033829
64. Evaluation and Projection of Surface PM2.5 and Its Exposure on Population in Asia Based on the CMIP6 GCMs Y. Xu et al. 10.3390/ijerph191912092
65. Regime shift in aerosol optical depth and long-term aerosol radiative forcing implications over the Arabian Peninsula Region B. Dayanandan et al. 10.1016/j.atmosenv.2022.119298
66. Severe atmospheric pollution in the Middle East is attributable to anthropogenic sources S. Osipov et al. 10.1038/s43247-022-00514-6
67. Study on the Concentration of Top Air Pollutants in Xuzhou City in Winter 2020 Based on the WRF-Chem and ADMS-Urban Models W. Liu et al. 10.3390/atmos15010129
68. Aerosol Characteristics during the COVID-19 Lockdown in China: Optical Properties, Vertical Distribution, and Potential Source Y. Jin et al. 10.3390/rs14143336
69. Seasonal Variation of Dust Aerosol Vertical Distribution in Arctic Based on Polarized Micropulse Lidar Measurement H. Xie et al. 10.3390/rs14215581
70. Satellite-based prediction of surface dust mass concentration in southeastern Iran using an intelligent approach S. Asadollah et al. 10.1007/s00477-023-02473-6
71. Seasonal simulations of summer aerosol optical depth over the Arabian Peninsula using WRF‐Chem: Validation, climatology, and variability R. Karumuri et al. 10.1002/joc.7396
72. Adaptive Aerosol Optical Depth Forecasting Model Using GNSS Observation Q. Zhao et al. 10.1109/TGRS.2021.3129159
73. A Case Study on the Assessment of Chemical and Physical Pollution Levels during the Copying Process V. Vasiliauskienė & A. Vasilis Vasiliauskas 10.3390/su14031287
74. Characterization of a Regional Dust Storm Using RAMAN Lidar Over the Western Indian Region K. Shukla et al. 10.1007/s12524-023-01778-x
75. Sensitivity of Summertime Convection to Aerosol Loading and Properties in the United Arab Emirates R. Fonseca et al. 10.3390/atmos12121687
76. A statistical model to predict and analyze air surface temperature based on remotely sensed observations H. Lim et al. 10.1007/s11356-021-16321-z
77. Characteristics of PM10 at industrial cities using integrated analytical techniques: Al-Jubail and Ras Tanura case study A. Farahat et al. 10.1007/s13762-021-03224-2
78. Extreme Aerosol Events Over Eastern North America: 1. Characterizing and Simulating Historical Events Y. Guo et al. 10.1029/2020JD033758
79. WRF-Chem Simulation for Modeling Seasonal Variations and Distributions of Aerosol Pollutants over the Middle East M. Shahid et al. 10.3390/rs13112112