Ahmadi Doabi, S., Afyuni, M., and Karami, M., 2017, Multivariate statistical analysis of heavy metals contamination in atmospheric dust of Kermanshah province, western Iran, during the spring and summer 2013: Journal of Geochemical Exploration, 3-28.
https://doi:10.1016/j.gexplo.2017.06.007.
Ahn, M.S., Kim, D., Kang, D., Lee, J., Sperber, K.R., Gleckler, P.J., Xianan, J., Yoo-Geun, H., and Hyemi, H., 2020, MJO propagation across the Maritime continent: Are CMIP6 models better than CMIP5 models?: Geophysical Research Letters,
47.
https://doi.org/10.1029/2020gl087250.
Alizadeh-Choobari, O., Ghafarian, p and Owlad, E., 2016, Temporal variations in the frequency and concentration of dust events over Iran based on surface observations: International Journal of Climatology, 36, 2050–2062. DOI: 10.1002/joc.4479.
Almazroui, M., 2023, The Influence of the Madden–Julian Oscillation on the Wet Season Rainfall over Saudi Arabia: Earth Systems and Environment, 7, 1–14.
Azizi, G., Shamsipour, A.A., Miri, M., and Safarrad, T., 2012, Statistic and synoptic analysis of dust phenomena in west of Iran: Journal of Environmental Studies, 38(63), 31-33. DOI:10.22059/JES.2012.29154.
Banerjee, P., Kumar, S.P., 2016, ENSO Modulation of Interannual Variability of Dust Aerosols over the Northwest Indian Ocean: Journal of Climate, 29(4), 1287-1303. DOI:10.1175/JCLI-D-15-0039.1.
Bao, C., Yong, M., Bueh, C., Bao, Y., Jin, E., Bao, Y., and Purevjav, G., 2022, Analyses of the Dust Storm Sources, Affected Areas, and Moving Paths in Mongolia and China in Early Spring: Natural Disaster Risk Assessment and Management Using Remote Sensing Techniques,
14(15), 3661.
https://doi.org/10.3390/rs14153661.
Chauhan, A., Samara, C., and Sing, R.P., 2018, Pronounced changes in air quality, atmospheric and meteorological parameters, and strong mixing of smoke associated with a dust event over Bakersfield, California: Environmental Earth Sciences,
77(4), 115.
http://dx.doi.org/10.1007/s12665-018-7311-z.
Dargahian, F., Mousivand, Y., Razavizadeh, S., and Lotfinasabasl, S., 2023, Identifying Dust Sources Affecting Southwestern Iran (Khuzestan Province) Using Remote Sensing Techniques and HYSPLIT Model: Journal of the Indian Society of Remote Sensing,
51, 565-583.
https://doi.10.1007/s12524-022-01648-y.
Dee, D.P.,
Uppala, S.M.,
Simmons, A.J.,
Berrisford, P.,
Poli, P.,
Kobayashi, S.,
Andrae, U.,
Balmaseda, M.A.,
Balsamo, G.,
Bauer, P.,
Bechtold, P.,
Beljaars, A.C.M.,
van de Berg, L.,
Bidlot, J.,
Bormann, N.,
Delsol, C.,
Dragani, R.,
Fuentes, M.,
Geer, A.J.,
Haimberger, L.,
Healy,
H., Hersbach, S.B.,
Hólm, E.V.,
Isaksen, L.,
Kållberg, P.,
Köhler, M.,
Matricardi, M.,
McNally, A.P.,
Monge-Sanz, B.M.,
Morcrette, J.J.,
Park, B.K.,
Peubey. C.
P., Rosnay, D.,
Tavolato, C.,
Thépaut, J.N., and
Vitart, F., 2011, The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart: Journal Of the Royal Meteorological Society,
137, 553–597.
https://doi.org/10.1002/qj.828.
Draxler, R., Stunder, B., Rolph, G., Stein, A., and Taylor, A., 2009, HYSPLIT4 user's guide, Version 4.9:1-231.
Farhadipour, S., Azadi, M., Bidokhti, A.A., Sayyari, H., and Alizadeh Choobari, O., 2018, Study and Simulation of Severe Dust Storms in the West and Southwest of Iran: Russian Meteorology and Hydrology,
43, 613–624.
https://doi.org/10.3103/S106837391809008X.
Fattahi Masrour, P., and Rezazadeh, M., 2022, Spatio-Temporal Distribution of Various Types of Dust Events in the Middle East during the Period 1996-2015: Journal of the Earth and Space Physics, 47(4), 231-248. DOI: 10.22059/JESPHYS.2021.321010.1007306/.
Gao, T., Han, J., Wang, Y., Pei, H., and Lu, S., 2012, Impacts of climate abnormality on remarkable dust storm increase of the Hunshdak Sandy Lands in northern China during 2001–2008: Meteorological Applications, 19(3), 265–278. https://doi.org/10.1002/met.251.
Gao, T.,
Chang, A.,
Jing, Ma, M.Y.,
Yang, Z., and
Yu, X., 2022, Relationship between the East Atlantic teleconnection pattern and the spring dust storm in northern China: Meteorological Applications, 29, 1-21.
https://doi.org/10.1002/met.2085.
Gong, D.Y., Mao, R., and Fan, Y.D., 2006, East Asian dust storm and weather disturbance: possible links to the Arctic Oscillation: International Journal of Climatology,
26(10), 1379-1396.
https://doi.org/10.1002/joc.1324.
Gong, D.Y., Mao, R., Shi, P.J., and Fan, Y.D., 2007, Correlation between east Asian dust storm frequency and PNA: Journal of Geophysical Research Letters, 34(14). DOI:10.1029/2007GL029944.
Goudie, A., Middleton, N., 2006, Desert dust in the global system. New York: Springer Berlin Heidelberg
Gui, K., Yao, W., Che, H., An, L., Zheng, Y., Li, L., Zhao, H., Zhang, L., Zhong, J., Wang, Y., and Zhang, X., 2022, Record-breaking dust loading during two mega dust storm events over northern China in March 2021 aerosol optical and radiative properties and meteorological drivers: Atmospheric Chemistry and Physics,
22(12), 7905-7932.
https://doi.org/10.5194/acp-22-7905-2022.
Guo, Y., Tian, B., Kahn, R.A., Kalashnikova, O., Wong, S., and Waliser, D.E., 2013, Tropical Atlantic dust and smoke aerosol variations related to the Madden-Julian Oscillation in MODIS and MISR observations: Journal of Geophysical Research Letters: Atmospheres,
118(10), 4947–4963.
https://doi.org/10.1002/jgrd.50409.
Hung, M.P., Lin, J.L., Wang, W., Kim, D., Shinoda, T., and Weaver, S.J., 2013, MJO and convectively coupled equatorial waves simulated by CMIP5 climate models: Journal of Climate,
26(17), 6185–6214.
https://doi.org/10.1175/JCLI-D-12-00541.1.
Huang, Y., Liu, X., Yin, Z. Y., and An, Z., 2021, Global impact of ENSO on dust activities with emphasis on the key region from the Arabian Peninsula to Central Asia: Journal of Geophysical Research: Atmospheres,
126, e2020JD034068.
https://doi.org/10.1029/2020JD034068.
Jamshidi Khezeli, T., Ranjbar Saadat Abadi, A., Nasr-Esfahany, M. A., Tajbakhsh Mosalman, S., and Mohebalhojeh, A.R., 2022, Autumn and Winter Extreme Precipitation Events and their Relationship with ENSO, NAO and MJO Phases over the West of Iran: Journal of the Earth and Space Physics, 47(4), 201-218. DOI: 10.22059/JESPHYS.2021.316961.1007280.
Johny, K., Pai, M.L., and Adarsh, S., 2022, Investigating the multiscale teleconnections of Madden–Julian oscillation and monthly rainfall using time-dependent intrinsic cross-correlation: Natural Hazards, 112(2), 1795–1822. DOI: 10.1007/s11069-022-05249-3.
Pourasghar, F., Oliver, E. C. J., and Holbrook, N. J. 2021, Influence of the MJO on daily surface air temperature over Iran: Journal of Climatology, 1-12. DOI: 10.1002/joc.7086.
Karimi, M., Oladi Ghadikolaei, J., and Mohammadi, J., 2018, Identification of dust storm sources area using Ackerman index in Kermanshah province, Iran: Journal of Research in Biology, 8(6), 2534-2543.
Labban, A.,
Butt, M.J., 2021, Analysis of sand and dust storm events over Saudi Arabia in relation with meteorological parameters and ENSO: Arabian Journal of Geosciences,
14(22).
https://doi.org/10.1007/s12517-020-06291-w.
Lee, Y.G.,
Kim, J.,
Ho, C.H.,
An, S.I., Mao, R., Tian, B., Wu, D., Lee, J.N., Kalashnikova, O., Choi, Y., and Yeh, S.W., 2014, The effects of ENSO under negative AO phase on spring dust activity over northern China: An observation investigation: International Journal of Climatology,
35(6), 935-947. DOI:10.1002/joc.4028.
Li, J., Garshick, E., Huang, S., and Koutrakis, P., 2021, Impacts of El Niño-Southern Oscillation on surface dust levels across the world during 1982–2019: Science of The Total Environment, 769. DOI: 10.1016/j.scitotenv.2020.144566.
Ling, J., Zhang, C., Wang, S., and Li, C., 2017, A new interpretation of the ability of global models to simulate the MJO: Geophysical Research Letters, 44(11), 5798–5806. DOI: 10.1002/2017GL073891.
Ling, J., Zhao, Y., and Chen, G., 2019, Barrier effect on MJO propagation by the Maritime continent in the MJOTF/GASS models: Journal of Climate,
32(17), 5529–5547.
https://doi.org/10.1175/JCLI-D-18-0870.1.
Liu, X., Zhang, Y., Yao, H., Lian, Q., and Xu, J., 2023, Analysis of the Severe Dust Process and Its Impact on Air Quality in Northern China: Atmosphere,
14(7), 1071;
https://doi.org/10.3390/atmos14071071.
Mann, H.B., Whitney, D.R., 1947, On a test of whether one of 2 random variables is stochastically larger than the other. Ann Math Stat, 18, 50- 60.
Mei, D., Xiushan, L., Sun, L., and Ping, W., 2008, A dust-storm process dynamic monitoring with multi-temporal MODIS data: Int Arch Photogram Remote Sens Spat Inf Sci, 6, 965–970.
Mesbahzadeh, T., Salajeghe, A., and Sardoo, F.S., 2020, Climatology of dust days in the Central Plateau of Iran: Natural Hazards, 104, 1801–1817. https://doi.org/10.1007/s11069-020-04248-6
Muslih, K.D., Umran, T.A., and Shiltagh, A.G., 2021, Analysis of Correlation and Coupling between El Niño-Southern Oscillation and Dust Storms in Iraq from 1971 to 2016: Iraqi Geological Journal, 54, 103-113. DOI: 10.46717/igj.54.1E.9Ms-2021-05-30.
Nazemosadat, M.J., Shahgholian, K., and Ghaedamini, H., 2023, The wet and dry spells within the MJO-phase 8 and the role of ENSO and IOD on the characteristics of these spells: A regional to continental-scales analysis: Atmospheric Research.
http://dx.doi.org/10.2139/ssrn.4188407.
Pai, D.S., Bhate, J., Sreejith, O.P., and Hatwar, H.R., 2011, Impact of MJO on the intraseasonal variation of summer monsoon rainfall over India: Climate Dynamics, 36(1), 41–55. DOI: 10.1007/s00382-009-0634-4.
Paul, D., Panda, J., and Routray, A., 2022, Ocean and atmospheric characteristics associated with the cyclogenesis and rapid intensification of NIO super cyclonic storms during 1981–2020: Natural Hazards, 114(1), 261–289. https://doi.org/10.1007/s11069-022-05389-6
Ragsdale, K.M., Bradford Barrett, S., and Testino, A.P., 2013, Variability of particulate matter (PM 10) in Santiago, Chile by phase of the MaddeneJulian Oscillation (MJO): Atmospheric Environment,
81, 304- 310. DOI:
10.1016/j.atmosenv.2013.09.011.
Saeed, T.M., Al-Dashti, H., and Spyrou, C., 2014, Aerosol’s optical and physical characteristics and direct radiative forcing during a shamal dust storm, a case study: Atmospheric Chemistry and Physics,
14(7), 3751–3769.
https://doi.org/10.5194/acp-14-3751-2014.
Salahi, B., Vatanparast Ghaleh Juq, F., and Nazari Radsani, M., 2024. Evaluating the Effects of Climate Change on MJO-Related Precipitation in the Southern Coast of Iran. Amphibious Science and Technology, DOI:10.22034/jamst.2024.544421.1154
Shan, W., Yin, Y., Lu, H., and Liang, S., 2009, A meteorological analysis of ozone episodes using HYSPLIT model and surface data: Atmospheric Research, 93(4), 767- 776. DOI: 10.1016/j.atmosres.2009.03.007.
Shao, Y., Wyrwoll, K.H., Chappell, A., Huang, J., Lin, Z., McTainsh, G.H., Mikami, M., Tanaka, T.Y., Wangh, X., and Yoon, S., 2011, Dust cycle: an emerging core theme in earth system science: Aeolian Research, 2, 181–204. DOI:10.1016/j.aeolia.2011.02.001.
Straub, K.H., 2013, MJO initiation in the Real-time Multivariate MJO index: Journal of Climate,
26(4), 1130–1151.
https://doi.org/10.1175/JCLI-D-12-00074.1.
Sun, Y., Mao, R., Gong, D.Y., Li, Y., Kim, S.J., Zhang, X.X., Zhang, X., and Hamidi, M., 2022, Decadal shift of the influence of Arctic Oscillation on dust weather frequency in spring over the Middle East during 1974–2019: International Journal of Climatology,
42(4), 2440-2454.
https://repository.kopri.re.kr/handle/201206/13321.
Wang, J. X., 2015, Mapping the global dust storm records: Review of dust data sources in supporting modeling/climate study: Current Pollution Reports, 1(2), 82-94. DOI: 10.1007/s40726-015-0008-y.
Wheeler, M., Hendon, H., 2004, An all- season real-time multivariate MJO index, Development of an index for monitoring and prediction: Monthly Weather Review,
132(8), 1917-1932.
https://doi/10.1175/1520-0493(2004)132<1917:AARMMI>2.0.CO;2.
Xu, J., Hou, S., Qin, D., Kang, S., Ren, J., and Ming, J., 2007, Dust storm activity over the Tibetan Plateau recorded by a shallow ice core from the north slope of Mt. Qomolangma (Everest), Tibet-Himal region: Journal of Geophysical Research Letters, 34(17). DOI: 10.1029/2007GL030853.
Yang, Y., Zeng, L., Wang, H., Wang, P., and Liao, H., 2022, Dust pollution in China affected by different spatial and temporal types of El Niño: Atmospheric Chemistry and Physics,
22, 14489–14502.
https://doi.org/10.5194/acp-22-14489-2022.
Yong, L.,
Guangpeng, W., Ziying, H., Peijun, S., Yanli, L., Guoming, Z., Yu, G., Yun, L., Chang, H., Lanlan, G., Xia, H., Yanyan, Y., Xiaoxiao, Z., Hao, Z., and Lianyou, L., 2020, Dust storm susceptibility on different land surface types in arid and semi-arid regions of northern China: Atmospheric Research,
243.
https://doi.org/10.1016/j.atmosres.2020.105031.
Yu, Y., Ginoux, P., 2021, Assessing the contribution of the ENSO and MJO to Australian dust activity based on satellite- and ground-based observations: Atmospheric Chemistry and Physics,
21(11), 8511–8530.
https://doi.org/10.5194/acp-21-8511-2021.
Zhang, C., 2005, Madden-Julian Oscillation: Reviews of Geophysics,
43(2). https://doi.org/10.1029/2004RG000158.
Zhang, C., 2013, Madden–Julian oscillation: Bridging weather and climate: Bulletin of the American Meteorological Society, 94(12),1849–1870. https://doi.org/10.1175/bams-d-12-00026.1.
Zhang, X., Lei, J. Q., Wu, S. X., Li, S, Y., Liu, L. Y., Wang, Z. F., Huang, Sh. Y., Guo, Y. H., Wang, Y. D., Tang, X., and Zhou, j., 2022, Resarch Article, Spatiotemporal evolution of aeolian dust in China: An insight into the synoptic records of 1984–2020 and nationwide practices to combat desertification, 2005- 2023. DOI: 10.1002/ldr.4585.