61 citations as recorded by crossref.

1. Can Climate Models Reproduce the Decadal Change of Dust Aerosol in East Asia? C. Wu et al. 10.1029/2018GL079376
2. 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
3. Evaluation of Machine-Learning Models for Predicting Aeolian Dust: A Case Study over the Southwestern USA Y. Aryal 10.3390/cli10060078
4. 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
5. A New Satellite-Based Global Climatology of Dust Aerosol Optical Depth K. Voss & A. Evan 10.1175/JAMC-D-19-0194.1
6. Evaluation of CMIP6 model simulations of PM2.5 and its components over China F. Ren et al. 10.5194/gmd-17-4821-2024
7. 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
8. Changes in Dust Activity in Spring over East Asia under a Global Warming Scenario Q. Zong et al. 10.1007/s13143-021-00224-7
9. On the Geomorphic, Meteorological, and Hydroclimatic Drivers of the Unusual 2018 Early Summer Salt Dust Storms in Central Asia X. Xi 10.1029/2022JD038089
10. 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
11. 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
12. Estimating the Spread in Future Fine Dust Concentrations in the Southwest United States S. Brey et al. 10.1029/2019JD031735
13. Predominant Type of Dust Storms That Influences Air Quality Over Northern China and Future Projections J. Li et al. 10.1029/2022EF002649
14. Mineral dust aerosol impacts on global climate and climate change J. Kok et al. 10.1038/s43017-022-00379-5
15. Aerosol characteristics in CMIP6 models' global simulations and their evaluation with the satellite measurements J. Bharath et al. 10.1002/joc.8324
16. Modeling Dust in East Asia by CESM and Sources of Biases M. Wu et al. 10.1029/2019JD030799
17. Two Typical Synoptic-Scale Weather Patterns of Dust Events over the Tibetan Plateau X. Feng et al. 10.1007/s13143-023-00325-5
18. Dust‐Drought Nexus in the Southwestern United States: A Proxy‐Model Comparison Approach S. Arcusa et al. 10.1029/2020PA004046
19. 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
20. 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
21. 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
22. The impact of recent changes in Asian anthropogenic emissions of SO<sub>2</sub> 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
23. Evaluation of CAS-ESM2 in simulating the spring dust activities in the Middle East A. Kamal et al. 10.1016/j.atmosres.2024.107324
24. Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. 10.5194/acp-20-13835-2020
25. Modeling dust sources, transport, and radiative effects at different altitudes over the Tibetan Plateau Z. Hu et al. 10.5194/acp-20-1507-2020
26. Evaluation of natural aerosols in CRESCENDO Earth system models (ESMs): mineral dust R. Checa-Garcia et al. 10.5194/acp-21-10295-2021
27. 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
28. 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
29. Seasonal Prediction Potential for Springtime Dustiness in the United States B. Pu et al. 10.1029/2019GL083703
30. The Greening of the Sahara: Past Changes and Future Implications F. Pausata et al. 10.1016/j.oneear.2020.03.002
31. 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
32. Where does the dust deposited over the Sierra Nevada snow come from? H. Huang et al. 10.5194/acp-22-15469-2022
33. Interannual Variability in the Source Location of North African Dust Transported to the Amazon A. Barkley et al. 10.1029/2021GL097344
34. 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
35. Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
36. The population affected by dust in China in the springtime W. Wang et al. 10.1371/journal.pone.0281311
37. 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
38. 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
39. Increased dust transport from Patagonia to eastern Antarctica during 2000–2020 C. Shi et al. 10.1016/j.gloplacha.2023.104186
40. 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
41. 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
42. 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
43. 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
44. Is the Atlantic Ocean driving the recent variability in South Asian dust? P. Banerjee et al. 10.5194/acp-21-17665-2021
45. 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
46. 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
47. 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
48. Size-resolved dust direct radiative effect efficiency derived from satellite observations Q. Song et al. 10.5194/acp-22-13115-2022
49. 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
50. The emission, transport, and impacts of the extreme Saharan dust storm of 2015 B. Harr et al. 10.5194/acp-24-8625-2024
51. 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
52. How well do the CMIP6 models simulate dust aerosols? A. Zhao et al. 10.5194/acp-22-2095-2022
53. 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
54. Enhanced dust emission following large wildfires due to vegetation disturbance Y. Yu & P. Ginoux 10.1038/s41561-022-01046-6
55. 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
56. 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
57. Global Dust Variability Explained by Drought Sensitivity in CMIP6 Models Y. Aryal & S. Evans 10.1029/2021JF006073
58. Spatiotemporal regionalization of atmospheric dust based on multivariate analysis of MACC model over Iran K. Mohammadpour et al. 10.1016/j.atmosres.2020.105322
59. Historical footprints and future projections of global dust burden from bias-corrected CMIP6 models J. Liu et al. 10.1038/s41612-023-00550-9
60. Aerosol absorption in global models from AeroCom phase III M. Sand et al. 10.5194/acp-21-15929-2021
61. Dust emission response to precipitation and temperature anomalies under different climatic conditions Y. Aryal & S. Evans 10.1016/j.scitotenv.2023.162335