89 citations as recorded by crossref.

1. Anthropogenic Perturbations to the Atmospheric Molybdenum Cycle M. Wong et al. https://doi.org/10.1029/2020GB006787
2. CHIMERE-2017: from urban to hemispheric chemistry-transport modeling S. Mailler et al. https://doi.org/10.5194/gmd-10-2397-2017
3. Future dust concentration over the Middle East and North Africa region under global warming and stratospheric aerosol intervention scenarios S. Mousavi et al. https://doi.org/10.5194/acp-23-10677-2023
4. Fractional solubility of iron in mineral dust aerosols over coastal Namibia: a link to marine biogenic emissions? K. Desboeufs et al. https://doi.org/10.5194/acp-24-1525-2024
5. Impacts of climate and land cover variability and trends on springtime East Asian dust emission over 1982–2010: A modeling study A. Tai et al. https://doi.org/10.1016/j.atmosenv.2021.118348
6. Smaller desert dust cooling effect estimated from analysis of dust size and abundance J. Kok et al. https://doi.org/10.1038/ngeo2912
7. A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions D. Leung et al. https://doi.org/10.5194/acp-23-6487-2023
8. Modeling dust emission in alpine regions with low air temperature and low air pressure – A case study on the Qinghai-Tibetan Plateau (QTP) H. Du et al. https://doi.org/10.1016/j.geoderma.2022.115930
9. WRF-Chem simulations of snow nitrate and other physicochemical properties in northern China X. Wang et al. https://doi.org/10.5194/gmd-18-651-2025
10. Do dust emissions from sparsely vegetated regions dominate atmospheric iron supply to the Southern Ocean? A. Ito & J. Kok https://doi.org/10.1002/2016JD025939
11. Size Distribution of Mineral Dust Emissions From Sparsely Vegetated and Supply‐Limited Dryland Soils N. Webb et al. https://doi.org/10.1029/2021JD035478
12. The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations P. Kiriakidis et al. https://doi.org/10.5194/acp-23-4391-2023
13. Dust in the Critical Zone: North American case studies J. Brahney et al. https://doi.org/10.1016/j.earscirev.2024.104942
14. A new process-based and scale-aware desert dust emission scheme for global climate models – Part II: Evaluation in the Community Earth System Model version 2 (CESM2) D. Leung et al. https://doi.org/10.5194/acp-24-2287-2024
15. Stepwise Assessment of Different Saltation Theories in Comparison with Field Observation Data H. Lee & S. Park https://doi.org/10.3390/atmos11010010
16. Reviews and syntheses: the GESAMP atmospheric iron deposition model intercomparison study S. Myriokefalitakis et al. https://doi.org/10.5194/bg-15-6659-2018
17. Diagnostic evaluation of the Community Earth System Model in simulating mineral dust emission with insight into large-scale dust storm mobilization in the Middle East and North Africa (MENA) S. Parajuli et al. https://doi.org/10.1016/j.aeolia.2016.02.002
18. Global and regional importance of the direct dust-climate feedback J. Kok et al. https://doi.org/10.1038/s41467-017-02620-y
19. A cross-comparison of threshold friction velocities for PM10 emissions between a traditional portable straight-line wind tunnel and PI-SWERL C. van Leeuwen et al. https://doi.org/10.1016/j.aeolia.2020.100661
20. Dust interannual variability and trend in Central Asia from 2000 to 2014 and their climatic linkages X. Xi & I. Sokolik https://doi.org/10.1002/2015JD024092
21. Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. https://doi.org/10.5194/acp-20-13835-2020
22. Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts A. Ansmann et al. https://doi.org/10.5194/acp-17-14987-2017
23. Improved representation of the global dust cycle using observational constraints on dust properties and abundance J. Kok et al. https://doi.org/10.5194/acp-21-8127-2021
24. Elucidating Hidden and Enduring Weaknesses in Dust Emission Modeling A. Chappell et al. https://doi.org/10.1029/2023JD038584
25. Simulating Performance of CHIMERE on a Late Autumnal Dust Storm over Northern China S. Ma et al. https://doi.org/10.3390/su11041074
26. Modeling Dust in East Asia by CESM and Sources of Biases M. Wu et al. https://doi.org/10.1029/2019JD030799
27. Pre‐Industrial, Present and Future Atmospheric Soluble Iron Deposition and the Role of Aerosol Acidity and Oxalate Under CMIP6 Emissions E. Bergas‐Massó et al. https://doi.org/10.1029/2022EF003353
28. Dust Transport from North Africa to the Middle East: Synoptic Patterns and Numerical Forecast S. Karami et al. https://doi.org/10.3390/atmos15050531
29. A novel method for detecting natural dust source regions using satellite and ground-based measurements J. Lee et al. https://doi.org/10.1016/j.atmosenv.2024.121024
30. Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0) D. Hamilton et al. https://doi.org/10.5194/gmd-12-3835-2019
31. Mineral dust aerosol impacts on global climate and climate change J. Kok et al. https://doi.org/10.1038/s43017-022-00379-5
32. A process‐oriented evaluation of dust emission parameterizations in CESM: Simulation of a typical severe dust storm in East Asia C. Wu et al. https://doi.org/10.1002/2016MS000723
33. Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land–atmosphere model (GFDL AM4.0/LM4.0) B. Pu et al. https://doi.org/10.5194/acp-20-55-2020
34. Middle East dust as an important external driver of the Indian Ocean Dipole G. Liu et al. https://doi.org/10.1038/s41467-026-68842-1
35. Testing the performance of state-of-the-art dust emission schemes using DO4Models field data K. Haustein et al. https://doi.org/10.5194/gmd-8-341-2015
36. A tribute to Michael R. Raupach for contributions to aeolian fluid dynamics Y. Shao et al. https://doi.org/10.1016/j.aeolia.2015.09.004
37. Interactions of Asian mineral dust with Indian summer monsoon: Recent advances and challenges Q. Jin et al. https://doi.org/10.1016/j.earscirev.2021.103562
38. High Potential of Asian Dust to Act as Ice Nucleating Particles in Mixed‐Phase Clouds Simulated With a Global Aerosol‐Climate Model K. Kawai et al. https://doi.org/10.1029/2020JD034263
39. Atmospheric Dynamics and Numerical Simulations of Six Frontal Dust Storms in the Middle East Region N. Hamzeh et al. https://doi.org/10.3390/atmos12010125
40. Black carbon-climate interactions regulate dust burdens over India revealed during COVID-19 L. Wei et al. https://doi.org/10.1038/s41467-022-29468-1
41. 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. https://doi.org/10.1016/j.aeolia.2021.100679
42. Status and Perspectives of the Validation and Evaluation of Wind-Blown Dust Models Using Three-Dimensional Air Quality Models H. Lee & S. Park https://doi.org/10.5572/KOSAE.2025.41.2.199
43. Dust Emission Modeling Using a New High‐Resolution Dust Source Function in WRF‐Chem With Implications for Air Quality S. Parajuli et al. https://doi.org/10.1029/2019JD030248
44. A Comparative Review of Wind-Blown Dust Emission Models H. Lee et al. https://doi.org/10.5572/KOSAE.2019.35.2.149
45. Contribution of the world's main dust source regions to the global cycle of desert dust J. Kok et al. https://doi.org/10.5194/acp-21-8169-2021
46. A revised mineral dust emission scheme in GEOS-Chem: improvements in dust simulations over China R. Tian et al. https://doi.org/10.5194/acp-21-4319-2021
47. Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty L. Li et al. https://doi.org/10.5194/acp-21-3973-2021
48. Connecting geomorphology to dust emission through high-resolution mapping of global land cover and sediment supply S. Parajuli & C. Zender https://doi.org/10.1016/j.aeolia.2017.06.002
49. Quantifying Mechanisms of Aeolian Dust Emission: Field Measurements at Etosha Pan, Namibia G. Wiggs et al. https://doi.org/10.1029/2022JF006675
50. AERO-MAP: a data compilation and modeling approach to understand spatial variability in fine- and coarse-mode aerosol composition N. Mahowald et al. https://doi.org/10.5194/acp-25-4665-2025
51. Evaluation of Nine Operational Models in Forecasting Different Types of Synoptic Dust Events in the Middle East S. Karami et al. https://doi.org/10.3390/geosciences11110458
52. Interannual modulation of subtropical Atlantic boreal summer dust variability by ENSO M. DeFlorio et al. https://doi.org/10.1007/s00382-015-2600-7
53. Understanding dust emission in the Bodélé region by extracting locally mobilized dust aerosols from satellite Aerosol Optical Depth data using principal component analysis S. Parajuli & Z. Yang https://doi.org/10.1016/j.aeolia.2017.01.001
54. Fine dust emissions from active sands at coastal Oceano Dunes, California Y. Huang et al. https://doi.org/10.5194/acp-19-2947-2019
55. Parameterization schemes on dust deposition in northwest China: Model validation and implications for the global dust cycle X. Zhang et al. https://doi.org/10.1016/j.atmosenv.2019.04.017
56. Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5 Z. Ke et al. https://doi.org/10.1029/2021MS002845
57. Editorial: Atmospheric dust: How it affects climate, environment and life on Earth? S. Parajuli et al. https://doi.org/10.3389/fenvs.2022.1058052
58. Dust storms backward Trajectories' and source identification over Kuwait M. Yassin et al. https://doi.org/10.1016/j.atmosres.2018.05.020
59. Quantifying the effect of geomorphology on aeolian dust emission potential in northern China M. Cui et al. https://doi.org/10.1002/esp.4714
60. A prediction method for the size distribution of saltating particles above a mixed‐size bed L. Liu & T. Bo https://doi.org/10.1002/esp.4847
61. Three-dimensional dust distribution and transport over the northern hemisphere dust belt: Insights from lidar observations R. Tan et al. https://doi.org/10.1016/j.atmosres.2026.108824
62. Dominant Role of Arctic Dust With High Ice Nucleating Ability in the Arctic Lower Troposphere K. Kawai et al. https://doi.org/10.1029/2022GL102470
63. The relative importance of wind and hydroclimate drivers in modulating the interannual variability of dust emissions in Earth system models X. Li et al. https://doi.org/10.5194/acp-26-963-2026
64. Global transport of dust emitted from different regions of the Sahara C. Lamancusa & K. Wagstrom https://doi.org/10.1016/j.atmosenv.2019.05.042
65. Can active sands generate dust particles by wind-induced processes? N. Swet et al. https://doi.org/10.1016/j.epsl.2018.11.013
66. Large Effects of Particle Size Heterogeneity on Dynamic Saltation Threshold W. Zhu et al. https://doi.org/10.1029/2019JF005094
67. On the Association between Fine Dust Concentrations from Sand Dunes and Environmental Factors in the Taklimakan Desert L. Jin & Q. He https://doi.org/10.3390/rs15071719
68. Assessing long-distance atmospheric transport of soilborne plant pathogens H. Brodsky et al. https://doi.org/10.1088/1748-9326/acf50c
69. Increasing Arctic dust suppresses the reduction of ice nucleation in the Arctic lower troposphere by warming H. Matsui et al. https://doi.org/10.1038/s41612-024-00811-1
70. Monitoring and simulation of a 7-day dust episode and associated dust radiative forcing over the Middle East via synergy of satellite observations, reanalysis datasets and regional/numerical models K. Mohammadpour et al. https://doi.org/10.1016/j.atmosres.2025.107948
71. The physics of wind-blown loess: Implications for grain size proxy interpretations in Quaternary paleoclimate studies G. Újvári et al. https://doi.org/10.1016/j.earscirev.2016.01.006
72. Importance of different parameterization changes for the updated dust cycle modeling in the Community Atmosphere Model (version 6.1) L. Li et al. https://doi.org/10.5194/gmd-15-8181-2022
73. Application of a satellite-retrieved sheltering parameterization (v1.0) for dust event simulation with WRF-Chem v4.1 S. LeGrand et al. https://doi.org/10.5194/gmd-16-1009-2023
74. The Critical Role of the Boundary Layer Thickness for the Initiation of Aeolian Sediment Transport T. Pähtz et al. https://doi.org/10.3390/geosciences8090314
75. A physics-guided machine learning framework for enhancing dust storm visibility prediction in arid and semi-arid regions C. Xu et al. https://doi.org/10.1038/s41598-026-39766-z
76. An Evaluation of the CHIMERE Chemistry Transport Model to Simulate Dust Outbreaks across the Northern Hemisphere in March 2014 B. Bessagnet et al. https://doi.org/10.3390/atmos8120251
77. An improved dust emission model – Part 1: Model description and comparison against measurements J. Kok et al. https://doi.org/10.5194/acp-14-13023-2014
78. Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0 M. Klose et al. https://doi.org/10.5194/gmd-14-6403-2021
79. Relative importance of high-latitude local and long-range-transported dust for Arctic ice-nucleating particles and impacts on Arctic mixed-phase clouds Y. Shi et al. https://doi.org/10.5194/acp-22-2909-2022
80. Combining modeling and isotopic signatures to track Aeolian dust from source to sink in the Wasatch Front, Utah, USA Z. Lawless et al. https://doi.org/10.1016/j.aeolia.2024.100954
81. Ice‐Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs S. Burrows et al. https://doi.org/10.1029/2021RG000745
82. Modeling global surface dust deposition using physics-informed neural networks C. Molina Catricheo et al. https://doi.org/10.1038/s43247-024-01942-2
83. PM10 dust emission in the Erenhot-Huailai zone of northern China based on model simulation Y. Wang et al. https://doi.org/10.1007/s40333-025-0006-0
84. Improved constraints on hematite refractive index for estimating climatic effects of dust aerosols L. Li et al. https://doi.org/10.1038/s43247-024-01441-4
85. Particle Lifting Processes in Dust Devils L. Neakrase et al. https://doi.org/10.1007/s11214-016-0296-6
86. Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) S. Ma et al. https://doi.org/10.5194/gmd-12-4603-2019
87. Dust‐Drought Nexus in the Southwestern United States: A Proxy‐Model Comparison Approach S. Arcusa et al. https://doi.org/10.1029/2020PA004046
88. How well can we quantify dust deposition to the ocean? R. Anderson et al. https://doi.org/10.1098/rsta.2015.0285
89. An observationally constrained estimate of global dust aerosol optical depth D. Ridley et al. https://doi.org/10.5194/acp-16-15097-2016