75 citations as recorded by crossref.

1. Anthropogenic Perturbations to the Atmospheric Molybdenum Cycle M. Wong et al. 10.1029/2020GB006787
2. CHIMERE-2017: from urban to hemispheric chemistry-transport modeling S. Mailler et al. 10.5194/gmd-10-2397-2017
3. 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. 10.1016/j.atmosenv.2021.118348
4. Smaller desert dust cooling effect estimated from analysis of dust size and abundance J. Kok et al. 10.1038/ngeo2912
5. 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. 10.5194/acp-23-6487-2023
6. 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. 10.1016/j.geoderma.2022.115930
7. Do dust emissions from sparsely vegetated regions dominate atmospheric iron supply to the Southern Ocean? A. Ito & J. Kok 10.1002/2016JD025939
8. Size Distribution of Mineral Dust Emissions From Sparsely Vegetated and Supply‐Limited Dryland Soils N. Webb et al. 10.1029/2021JD035478
9. The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations P. Kiriakidis et al. 10.5194/acp-23-4391-2023
10. Stepwise Assessment of Different Saltation Theories in Comparison with Field Observation Data H. Lee & S. Park 10.3390/atmos11010010
11. Reviews and syntheses: the GESAMP atmospheric iron deposition model intercomparison study S. Myriokefalitakis et al. 10.5194/bg-15-6659-2018
12. 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. 10.1016/j.aeolia.2016.02.002
13. Global and regional importance of the direct dust-climate feedback J. Kok et al. 10.1038/s41467-017-02620-y
14. 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. 10.1016/j.aeolia.2020.100661
15. Dust interannual variability and trend in Central Asia from 2000 to 2014 and their climatic linkages X. Xi & I. Sokolik 10.1002/2015JD024092
16. Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. 10.5194/acp-20-13835-2020
17. Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts A. Ansmann et al. 10.5194/acp-17-14987-2017
18. Improved representation of the global dust cycle using observational constraints on dust properties and abundance J. Kok et al. 10.5194/acp-21-8127-2021
19. Simulating Performance of CHIMERE on a Late Autumnal Dust Storm over Northern China S. Ma et al. 10.3390/su11041074
20. Modeling Dust in East Asia by CESM and Sources of Biases M. Wu et al. 10.1029/2019JD030799
21. 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. 10.1029/2022EF003353
22. Impact of Changes to the Atmospheric Soluble Iron Deposition Flux on Ocean Biogeochemical Cycles in the Anthropocene D. Hamilton et al. 10.1029/2019GB006448
23. 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. 10.5194/gmd-12-3835-2019
24. Mineral dust aerosol impacts on global climate and climate change J. Kok et al. 10.1038/s43017-022-00379-5
25. A process-oriented evaluation of dust emission parameterizations in CESM: Simulation of a typical severe dust storm in East Asia C. Wu et al. 10.1002/2016MS000723
26. 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. 10.5194/acp-20-55-2020
27. Testing the performance of state-of-the-art dust emission schemes using DO4Models field data K. Haustein et al. 10.5194/gmd-8-341-2015
28. A tribute to Michael R. Raupach for contributions to aeolian fluid dynamics Y. Shao et al. 10.1016/j.aeolia.2015.09.004
29. Interactions of Asian mineral dust with Indian summer monsoon: Recent advances and challenges Q. Jin et al. 10.1016/j.earscirev.2021.103562
30. 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. 10.1029/2020JD034263
31. Atmospheric Dynamics and Numerical Simulations of Six Frontal Dust Storms in the Middle East Region N. Hamzeh et al. 10.3390/atmos12010125
32. Black carbon-climate interactions regulate dust burdens over India revealed during COVID-19 L. Wei et al. 10.1038/s41467-022-29468-1
33. 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
34. Dust Emission Modeling Using a New High‐Resolution Dust Source Function in WRF‐Chem With Implications for Air Quality S. Parajuli et al. 10.1029/2019JD030248
35. A Comparative Review of Wind-Blown Dust Emission Models H. Lee et al. 10.5572/KOSAE.2019.35.2.149
36. Contribution of the world's main dust source regions to the global cycle of desert dust J. Kok et al. 10.5194/acp-21-8169-2021
37. A revised mineral dust emission scheme in GEOS-Chem: improvements in dust simulations over China R. Tian et al. 10.5194/acp-21-4319-2021
38. Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty L. Li et al. 10.5194/acp-21-3973-2021
39. Connecting geomorphology to dust emission through high-resolution mapping of global land cover and sediment supply S. Parajuli & C. Zender 10.1016/j.aeolia.2017.06.002
40. Quantifying Mechanisms of Aeolian Dust Emission: Field Measurements at Etosha Pan, Namibia G. Wiggs et al. 10.1029/2022JF006675
41. Evaluation of Nine Operational Models in Forecasting Different Types of Synoptic Dust Events in the Middle East S. Karami et al. 10.3390/geosciences11110458
42. Interannual modulation of subtropical Atlantic boreal summer dust variability by ENSO M. DeFlorio et al. 10.1007/s00382-015-2600-7
43. 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 10.1016/j.aeolia.2017.01.001
44. Fine dust emissions from active sands at coastal Oceano Dunes, California Y. Huang et al. 10.5194/acp-19-2947-2019
45. Parameterization schemes on dust deposition in northwest China: Model validation and implications for the global dust cycle X. Zhang et al. 10.1016/j.atmosenv.2019.04.017
46. Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5 Z. Ke et al. 10.1029/2021MS002845
47. Editorial: Atmospheric dust: How it affects climate, environment and life on Earth? S. Parajuli et al. 10.3389/fenvs.2022.1058052
48. Dust storms backward Trajectories' and source identification over Kuwait M. Yassin et al. 10.1016/j.atmosres.2018.05.020
49. Quantifying the effect of geomorphology on aeolian dust emission potential in northern China M. Cui et al. 10.1002/esp.4714
50. A prediction method for the size distribution of saltating particles above a mixed‐size bed L. Liu & T. Bo 10.1002/esp.4847
51. Dominant Role of Arctic Dust With High Ice Nucleating Ability in the Arctic Lower Troposphere K. Kawai et al. 10.1029/2022GL102470
52. Global transport of dust emitted from different regions of the Sahara C. Lamancusa & K. Wagstrom 10.1016/j.atmosenv.2019.05.042
53. Can active sands generate dust particles by wind-induced processes? N. Swet et al. 10.1016/j.epsl.2018.11.013
54. Large Effects of Particle Size Heterogeneity on Dynamic Saltation Threshold W. Zhu et al. 10.1029/2019JF005094
55. On the Association between Fine Dust Concentrations from Sand Dunes and Environmental Factors in the Taklimakan Desert L. Jin & Q. He 10.3390/rs15071719
56. The physics of wind-blown loess: Implications for grain size proxy interpretations in Quaternary paleoclimate studies G. Újvári et al. 10.1016/j.earscirev.2016.01.006
57. Importance of different parameterization changes for the updated dust cycle modeling in the Community Atmosphere Model (version 6.1) L. Li et al. 10.5194/gmd-15-8181-2022
58. Application of a satellite-retrieved sheltering parameterization (v1.0) for dust event simulation with WRF-Chem v4.1 S. LeGrand et al. 10.5194/gmd-16-1009-2023
59. The Critical Role of the Boundary Layer Thickness for the Initiation of Aeolian Sediment Transport T. Pähtz et al. 10.3390/geosciences8090314
60. An Evaluation of the CHIMERE Chemistry Transport Model to Simulate Dust Outbreaks across the Northern Hemisphere in March 2014 B. Bessagnet et al. 10.3390/atmos8120251
61. An improved dust emission model – Part 1: Model description and comparison against measurements J. Kok et al. 10.5194/acp-14-13023-2014
62. Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0 M. Klose et al. 10.5194/gmd-14-6403-2021
63. 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. 10.5194/acp-22-2909-2022
64. Ice‐Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs S. Burrows et al. 10.1029/2021RG000745
65. Particle Lifting Processes in Dust Devils L. Neakrase et al. 10.1007/s11214-016-0296-6
66. 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. 10.5194/gmd-12-4603-2019
67. Dust‐Drought Nexus in the Southwestern United States: A Proxy‐Model Comparison Approach S. Arcusa et al. 10.1029/2020PA004046
68. How well can we quantify dust deposition to the ocean? R. Anderson et al. 10.1098/rsta.2015.0285
69. An observationally constrained estimate of global dust aerosol optical depth D. Ridley et al. 10.5194/acp-16-15097-2016
70. Estimating the sensitivity of regional dust sources to sea surface temperature patterns A. Hoffman et al. 10.1002/2014JD021682
71. Dust distribution in open-pit mines based on monitoring data and fluent simulation T. Wanjun & C. Qingxiang 10.1007/s10661-018-7004-9
72. Dynamic Dust Source Regions and the Associated Natural and Anthropogenic Dust Emissions at the Global Scale Z. Wang et al. 10.3389/feart.2022.802658
73. Identifying natural dust source regions over the Middle-East and North-Africa: Estimation of dust emission potential I. Gherboudj et al. 10.1016/j.earscirev.2016.12.010
74. Fundamental mismatches between measurements and models in aeolian sediment transport prediction: The role of small-scale variability T. Barchyn et al. 10.1016/j.aeolia.2014.07.002
75. PM10 Emission, Sandblasting Efficiency and Vertical Entrainment During Successive Wind-Erosion Events: A Wind-Tunnel Approach J. Panebianco et al. 10.1007/s10546-016-0172-7