71 citations as recorded by crossref.

1. Sensitivity studies of aerosol data assimilation and direct radiative feedbacks in modeling dust aerosols H. Wang & T. Niu https://doi.org/10.1016/j.atmosenv.2012.09.066
2. Embedded information of aerosol type, hygroscopicity and scattering enhancement factor revealed by the relationship between PM2.5 and aerosol optical depth K. Chang et al. https://doi.org/10.1016/j.scitotenv.2023.161471
3. Performance and evaluation of remote sensing satellites for monitoring dust weather in East Asia Y. Zhang et al. https://doi.org/10.5194/amt-18-4885-2025
4. Aridification impacts and adaptation strategies in the world’s drylands: a review E. Morán-Tejeda et al. https://doi.org/10.1139/er-2025-0098
5. Impact of dust storm on the atmospheric boundary layer: a case study from western India S. Saha et al. https://doi.org/10.1007/s11069-022-05293-z
6. Weakened dust activity over China and Mongolia from 2001 to 2020 associated with climate change and land-use management S. Wang et al. https://doi.org/10.1088/1748-9326/ac3b79
7. Effects on surface meteorological parameters and radiation levels of a heavy dust storm occurred in Central Arabian Peninsula A. Maghrabi & A. Al-Dosari https://doi.org/10.1016/j.atmosres.2016.07.024
8. Applicability Analysis of Vegetation Condition and Dryness for Sand and Dust Storm (SDS) Risk Reduction in SDS Source and Receptor Region E. Park et al. https://doi.org/10.3390/su12187256
9. Biological crust in sand and dust storm source areas of Asia and its impact on dust emission J. Zhang et al. https://doi.org/10.1016/j.accre.2021.05.007
10. Temporal and spatial variations in sand and dust storm events in East Asia from 2007 to 2016: Relationships with surface conditions and climate change L. An et al. https://doi.org/10.1016/j.scitotenv.2018.03.068
11. Development and evaluation of an operational SDS forecasting system for East Asia: CUACE/Dust C. Zhou et al. https://doi.org/10.5194/acp-8-787-2008
12. A new-generation sand and dust storm forecasting system GRAPES_CUACE/Dust: Model development, verification and numerical simulation H. Wang et al. https://doi.org/10.1007/s11434-009-0481-z
13. Discriminant Genetic Algorithm Extended (DGAE) model for seasonal sand and dust storm prediction Y. Yang et al. https://doi.org/10.1007/s11430-010-4059-z
14. Evolutionary characteristics of the atmospheric circulations for frequent and infrequent dust storm springs in northern China and the detection of potential future seasonal forecast signals T. Gao & J. Han https://doi.org/10.1002/met.163
15. Dry deposition of PM10 over the Yellow Sea during Asian dust events from 2001 to 2007 H. Yan et al. https://doi.org/10.1016/S1001-0742(13)60380-0
16. Gobi-sourced dust and dust–climate feedbacks in the March 2023 East Asian storm S. Liang et al. https://doi.org/10.1016/j.atmosres.2025.108735
17. The variability of spring sand-dust storm frequency in Northeast Asia from 1980 to 2011 Y. Yang et al. https://doi.org/10.1007/s13351-013-0112-0
18. Strong air pollution causes widespread haze‐clouds over China J. Ma et al. https://doi.org/10.1029/2009JD013065
19. Research on Rapid Identification Technology of Sand and Dust Characteristic Monitoring Data Based on Optimized K-Means Clustering H. Zheng et al. https://doi.org/10.3390/atmos13101720
20. Recent pronounced warming on the Mongolian Plateau boosted by internal climate variability Q. Cai et al. https://doi.org/10.1038/s41561-024-01377-6
21. Visibility Parameter in Sand/Dust Storms’ Radio Wave Attenuation Equations: An Approach for Reliable Visibility Estimation Based on Existing Empirical Equations to Minimize Potential Biases in Calculations H. Mahmood & W. Ismail https://doi.org/10.3390/app10217530
22. The population affected by dust in China in the springtime W. Wang et al. https://doi.org/10.1371/journal.pone.0281311
23. A Parameterized Method for Air-Quality Diagnosis and Its Applications J. Wang et al. https://doi.org/10.1155/2012/238589
24. A spatial hedonic analysis of the housing market around a large, failing desert lake: the case of the Salton Sea in California A. Singh et al. https://doi.org/10.1080/09640568.2017.1405799
25. Meteorological characteristics of dust storm events in the eastern Great Basin of Utah, U.S.A. M. Hahnenberger & K. Nicoll https://doi.org/10.1016/j.atmosenv.2012.06.029
26. CUACE/Dust – an integrated system of observation and modeling systems for operational dust forecasting in Asia S. Gong & X. Zhang https://doi.org/10.5194/acp-8-2333-2008
27. Desert dust and human health disorders A. Goudie https://doi.org/10.1016/j.envint.2013.10.011
28. Statistical evaluation of the dust events at selected stations in Southwest Asia: From the Caspian Sea to the Arabian Sea A. Rashki et al. https://doi.org/10.1016/j.catena.2018.03.011
29. Long-term variation of dust episodes over the United Arab Emirates G. Basha et al. https://doi.org/10.1016/j.jastp.2019.03.006
30. Study of physical constraint equation of sand-dust atmosphere . Zhao Jian-Hua & . Zhang Qiang https://doi.org/10.7498/aps.59.8954
31. A decade of dust: Asian dust and springtime aerosol load in the U.S. Pacific Northwest E. Fischer et al. https://doi.org/10.1029/2008GL036467
32. Improvement of aerosol optical properties modeling over Eastern Asia with MODIS AOD assimilation in a global non-hydrostatic icosahedral aerosol transport model T. Dai et al. https://doi.org/10.1016/j.envpol.2014.06.021
33. Dust Events over the Urmia Lake Basin, NW Iran, in 2009–2022 and Their Potential Sources A. Abadi et al. https://doi.org/10.3390/rs16132384
34. A study of the meteorological causes of a prolonged and severe haze episode in January 2013 over central-eastern China H. Wang et al. https://doi.org/10.1016/j.atmosenv.2014.08.053
35. The influence of Asian dust outflow on particle microphysical and optical properties at Mt. Tai in central east China X. Shen et al. https://doi.org/10.1016/j.atmosenv.2016.08.014
36. Assessment of dust activity and dust-plume pathways over Jazmurian Basin, southeast Iran A. Rashki et al. https://doi.org/10.1016/j.aeolia.2017.01.002
37. Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms M. Bilal et al. https://doi.org/10.1016/j.rse.2014.07.015
38. Atmospheric Turbidity Estimation from Hourly Global Solar Radiation Data under Cloudless Skies Y. MASAKI et al. https://doi.org/10.2151/jmsj.87.849
39. Asian dust storm influence on North American ambient PM levels: observational evidence and controlling factors T. Zhao et al. https://doi.org/10.5194/acp-8-2717-2008
40. Desert Dust and Health: A Central Asian Review and Steppe Case Study T. Sternberg & M. Edwards https://doi.org/10.3390/ijerph14111342
41. Analysis and evaluation of the global aerosol optical properties simulated by an online aerosol-coupled non-hydrostatic icosahedral atmospheric model T. Dai et al. https://doi.org/10.1007/s00376-014-4098-z
42. Dust emission and potential diffusion process in Mongolia Z. Chen et al. https://doi.org/10.1002/ldr.4621
43. Monitoring of dust storm and estimation of aerosol concentration in the Middle East using remotely sensed images H. Taheri Shahraiyni et al. https://doi.org/10.1007/s12517-013-1252-3
44. Interannual Variability of Dust Deposition in Japan during Spring Season and Related Atmospheric Circulation Fields M. KURAMOCHI et al. https://doi.org/10.2151/jmsj.2023-016
45. A 3D multi-threshold, region-growing algorithm for identifying dust storm features from model simulations M. Yu & C. Yang https://doi.org/10.1080/13658816.2016.1250900
46. A seasonal forecast scheme for spring dust storm predictions in Northern China T. Gao et al. https://doi.org/10.1002/met.175
47. Dust events in Beijing, China (2004–2006): comparison of ground-based measurements with columnar integrated observations Z. Wu et al. https://doi.org/10.5194/acp-9-6915-2009
48. A New Perspective on Understanding the Reduced Spring Dust Storm Frequency in Inner Mongolia, China N. Li et al. https://doi.org/10.1007/s13753-015-0062-5
49. Anomaly Based Synoptic Analysis and Model Prediction of Six Dust Storms Moving From Mongolia to Northern China in Spring 2021 W. Qian et al. https://doi.org/10.1029/2021JD036272
50. Surface observation of sand and dust storm in East Asia and its application in CUACE/Dust Y. Wang et al. https://doi.org/10.5194/acp-8-545-2008
51. Climate factors influencing springtime dust activities over Northern East Asia in 2021 and 2023 L. Liu et al. https://doi.org/10.1016/j.atmosres.2024.107342
52. Why super sandstorm 2021 in North China? Z. Yin et al. https://doi.org/10.1093/nsr/nwab165
53. Relationships between submicrometer particulate air pollution and air mass history in Beijing, China, 2004–2006 B. Wehner et al. https://doi.org/10.5194/acp-8-6155-2008
54. Spatial and Temporal Variations in the Incidence of Dust Storms in Saudi Arabia Revealed from In Situ Observations S. Albugami et al. https://doi.org/10.3390/geosciences9040162
55. High enrichment of heavy metals in fine particulate matter through dust aerosol generation Q. Gao et al. https://doi.org/10.5194/acp-23-13049-2023
56. Data assimilation of dust aerosol observations for the CUACE/dust forecasting system T. Niu et al. https://doi.org/10.5194/acp-8-3473-2008
57. Asian dust transport of proteinaceous matter from the Gobi Desert to northern China R. Zhu et al. https://doi.org/10.5194/acp-25-7699-2025
58. Climatological analysis of dust storms in the area surrounding the Tengger Desert during 1960–2007 Q. Guan et al. https://doi.org/10.1007/s00382-014-2321-3
59. Detecting and Evaluating Dust‐Events in North China With Ground Air Quality Data P. Tong et al. https://doi.org/10.1029/2021EA001849
60. A new dataset of erodibility in dust source for WRF-Chem model based on remote sensing and soil texture - Application and Validation H. Li et al. https://doi.org/10.1016/j.atmosenv.2023.120156
61. Mass concentration of PM10 and PM2.5 fine-dispersed aerosol fractions in the Eastern Gobi Desert A. Dement’eva et al. https://doi.org/10.3103/S1068373913020039
62. Dust Storms in Northern China: Long-Term Spatiotemporal Characteristics and Climate Controls Q. Guan et al. https://doi.org/10.1175/JCLI-D-16-0795.1
63. A linkage between Asian dust, dissolved iron and marine export production in the deep ocean Y. Han et al. https://doi.org/10.1016/j.atmosenv.2011.04.078
64. Classification and investigation of Asian aerosol absorptive properties T. Logan et al. https://doi.org/10.5194/acp-13-2253-2013
65. Climate Change and Thermal Dynamics of the Lake Sevan Basin (Armenia): Observational Insights and Future Projections G. Khachatryan et al. https://doi.org/10.3390/w18030352
66. Representations of dynamics size distributions of mineral dust over East Asia by a regional sand and dust storm model C. Zhou et al. https://doi.org/10.1016/j.atmosres.2020.105403
67. Classification and sources of extremely severe sandstorms mixed with haze pollution in Beijing T. Liu et al. https://doi.org/10.1016/j.envpol.2023.121154
68. Exploring the mechanisms of dust emission and transport based on observations and GEOS-Chem simulations P. Zou et al. https://doi.org/10.5194/acp-26-7485-2026
69. Analyses of the 2016–2023 Dust Storms in China Using Himawari-8 Remote Sensing Observations N. Luo et al. https://doi.org/10.3390/rs16234578
70. Mesozoic–Cenozoic tectonic evolution and dynamics of the Songliao Basin, NE Asia: Implications for the closure of the Paleo-Asian Ocean and Mongol-Okhotsk Ocean and subduction of the Paleo-Pacific Ocean Z. Li et al. https://doi.org/10.1016/j.earscirev.2020.103471
71. Dust storms: Recent developments A. Goudie https://doi.org/10.1016/j.jenvman.2008.07.007