66 citations as recorded by crossref.

1. Fallowed agricultural lands dominate anthropogenic dust sources in California A. Adebiyi et al. 10.1038/s43247-025-02306-0
2. Can Climate Models Reproduce the Decadal Change of Dust Aerosol in East Asia? C. Wu et al. 10.1029/2018GL079376
3. Multi-model ensemble projection of the global dust cycle by the end of 21st century using the Coupled Model Intercomparison Project version 6 data Y. Zhao et al. 10.5194/acp-23-7823-2023
4. Evaluation of Machine-Learning Models for Predicting Aeolian Dust: A Case Study over the Southwestern USA Y. Aryal 10.3390/cli10060078
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. A New Satellite-Based Global Climatology of Dust Aerosol Optical Depth K. Voss & A. Evan 10.1175/JAMC-D-19-0194.1
7. Evaluation of CMIP6 model simulations of PM2.5 and its components over China F. Ren et al. 10.5194/gmd-17-4821-2024
8. The shift of decadal trend in Middle East dust activities attributed to North Tropical Atlantic variability G. Liu et al. 10.1016/j.scib.2023.05.031
9. Changes in Dust Activity in Spring over East Asia under a Global Warming Scenario Q. Zong et al. 10.1007/s13143-021-00224-7
10. On the Geomorphic, Meteorological, and Hydroclimatic Drivers of the Unusual 2018 Early Summer Salt Dust Storms in Central Asia X. Xi 10.1029/2022JD038089
11. Impact of upstream westerly jet stream on tropospheric dust over the Tibetan Plateau in boreal spring X. Feng et al. 10.1016/j.gloplacha.2025.104708
12. 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
13. What drives historical and future changes in photovoltaic power production from the perspective of global warming? R. Constantin Scheele & S. Fiedler 10.1088/1748-9326/ad10d6
14. Estimating the Spread in Future Fine Dust Concentrations in the Southwest United States S. Brey et al. 10.1029/2019JD031735
15. Predominant Type of Dust Storms That Influences Air Quality Over Northern China and Future Projections J. Li et al. 10.1029/2022EF002649
16. Mineral dust aerosol impacts on global climate and climate change J. Kok et al. 10.1038/s43017-022-00379-5
17. Aerosol characteristics in CMIP6 models' global simulations and their evaluation with the satellite measurements J. Bharath et al. 10.1002/joc.8324
18. Modeling Dust in East Asia by CESM and Sources of Biases M. Wu et al. 10.1029/2019JD030799
19. Two Typical Synoptic-Scale Weather Patterns of Dust Events over the Tibetan Plateau X. Feng et al. 10.1007/s13143-023-00325-5
20. Dust‐Drought Nexus in the Southwestern United States: A Proxy‐Model Comparison Approach S. Arcusa et al. 10.1029/2020PA004046
21. Temporal coherence in particulate matter in East Asian outflow regions: fingerprints of ENSO and Asian dust M. Kueh et al. 10.1038/s41612-023-00530-z
22. Rise in dust emissions from burned landscapes primarily driven by small fires X. Meng et al. 10.1038/s41561-025-01730-3
23. Understanding day–night differences in dust aerosols over the dust belt of North Africa, the Middle East, and Asia J. Tindan et al. 10.5194/acp-23-5435-2023
24. 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
25. The impact of recent changes in Asian anthropogenic emissions of SO2 on sulfate loading in the upper troposphere and lower stratosphere and the associated radiative changes S. Fadnavis et al. 10.5194/acp-19-9989-2019
26. Evaluation of CAS-ESM2 in simulating the spring dust activities in the Middle East A. Kamal et al. 10.1016/j.atmosres.2024.107324
27. Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. 10.5194/acp-20-13835-2020
28. The decline in desert drift potential weakens aeolian dust emission T. Zhang et al. 10.1016/j.gloplacha.2025.104844
29. Modeling dust sources, transport, and radiative effects at different altitudes over the Tibetan Plateau Z. Hu et al. 10.5194/acp-20-1507-2020
30. Evaluation of natural aerosols in CRESCENDO Earth system models (ESMs): mineral dust R. Checa-Garcia et al. 10.5194/acp-21-10295-2021
31. Increasing spring dust storms in the future over the Taklimakan Desert, Northwest China: implications from changes in circulation pattern frequency in CMIP6 R. Mao et al. 10.1088/2515-7620/ac37ee
32. Quantifying the contribution of local drivers to observed weakening of spring dust storm frequency over northern China (1982–2017) K. Gui et al. 10.1016/j.scitotenv.2023.164923
33. Seasonal Prediction Potential for Springtime Dustiness in the United States B. Pu et al. 10.1029/2019GL083703
34. The Greening of the Sahara: Past Changes and Future Implications F. Pausata et al. 10.1016/j.oneear.2020.03.002
35. The global dust cycle and uncertainty in CMIP5 (Coupled Model Intercomparison Project phase 5) models C. Wu et al. 10.5194/acp-20-10401-2020
36. Where does the dust deposited over the Sierra Nevada snow come from? H. Huang et al. 10.5194/acp-22-15469-2022
37. Interannual Variability in the Source Location of North African Dust Transported to the Amazon A. Barkley et al. 10.1029/2021GL097344
38. Evaluation of the simulated aerosol optical properties over India: COALESCE model inter-comparison of three GCMs with ground and satellite observations T. Sarkar et al. 10.1016/j.scitotenv.2022.158442
39. Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
40. The population affected by dust in China in the springtime W. Wang et al. 10.1371/journal.pone.0281311
41. Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales: regional and interannual variability Q. Song et al. 10.5194/acp-21-13369-2021
42. The projected future degradation in air quality is caused by more abundant natural aerosols in a warmer world J. Gomez et al. 10.1038/s43247-023-00688-7
43. Increased dust transport from Patagonia to eastern Antarctica during 2000–2020 C. Shi et al. 10.1016/j.gloplacha.2023.104186
44. Comparisons and evaluation of aerosol burden and optical depth in CMIP5 simulations over East Asia R. Li et al. 10.1016/j.jastp.2020.105315
45. Thermal infrared dust optical depth and coarse-mode effective diameter over oceans retrieved from collocated MODIS and CALIOP observations J. Zheng et al. 10.5194/acp-23-8271-2023
46. The dominant factor in extreme dust events over the Gobi Desert is shifting from extreme winds to extreme droughts Q. Zhu & Y. Liu 10.1038/s41612-024-00689-z
47. 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
48. Is the Atlantic Ocean driving the recent variability in South Asian dust? P. Banerjee et al. 10.5194/acp-21-17665-2021
49. Record-breaking dust loading during two mega dust storm events over northern China in March 2021: aerosol optical and radiative properties and meteorological drivers K. Gui et al. 10.5194/acp-22-7905-2022
50. Assessing the contribution of the ENSO and MJO to Australian dust activity based on satellite- and ground-based observations Y. Yu & P. Ginoux 10.5194/acp-21-8511-2021
51. An updated aerosol simulation in the Community Earth System Model (v2.1.3): dust and marine aerosol emissions and secondary organic aerosol formation Y. Wang et al. 10.5194/gmd-17-7995-2024
52. Size-resolved dust direct radiative effect efficiency derived from satellite observations Q. Song et al. 10.5194/acp-22-13115-2022
53. Temporal and spatial variations in dust activity in Australia based on remote sensing and reanalysis datasets Y. Che et al. 10.5194/acp-24-4105-2024
54. The emission, transport, and impacts of the extreme Saharan dust storm of 2015 B. Harr et al. 10.5194/acp-24-8625-2024
55. Evaluation and comparison of MERRA-2 AOD and DAOD with MODIS DeepBlue and AERONET data in Australia Y. Che et al. 10.1016/j.atmosenv.2022.119054
56. How well do the CMIP6 models simulate dust aerosols? A. Zhao et al. 10.5194/acp-22-2095-2022
57. Major Changes in Extreme Dust Events Dynamics Over the Arabian Peninsula During 2003–2017 Driven by Atmospheric Conditions H. Gandham et al. 10.1029/2020JD032931
58. Enhanced dust emission following large wildfires due to vegetation disturbance Y. Yu & P. Ginoux 10.1038/s41561-022-01046-6
59. Weakened dust activity over China and Mongolia from 2001 to 2020 associated with climate change and land-use management S. Wang et al. 10.1088/1748-9326/ac3b79
60. 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
61. Global Dust Variability Explained by Drought Sensitivity in CMIP6 Models Y. Aryal & S. Evans 10.1029/2021JF006073
62. Spatiotemporal regionalization of atmospheric dust based on multivariate analysis of MACC model over Iran K. Mohammadpour et al. 10.1016/j.atmosres.2020.105322
63. Historical footprints and future projections of global dust burden from bias-corrected CMIP6 models J. Liu et al. 10.1038/s41612-023-00550-9
64. Aerosol absorption in global models from AeroCom phase III M. Sand et al. 10.5194/acp-21-15929-2021
65. A preliminary assessment of the spatial and temporal patterns of sand and dust storms over the Sahara S. Saleh et al. 10.1016/j.sciaf.2025.e02729
66. Dust emission response to precipitation and temperature anomalies under different climatic conditions Y. Aryal & S. Evans 10.1016/j.scitotenv.2023.162335