Application of WRF-Chem and HYSPLIT Models for Dust Storm Analysis in Central Iran (Case Study of Isfahan Province, 21–23 May 2016)

Dust is one of the most important problems of human societies in arid and semi-arid areas. This study analyzed the rising and propagation of the dust storm occurring from 21 to 23 May 2016 in Isfahan province (Central Iran) by using the WRF-Chem and HYSPLIT models. The dust storm was visualized using visible imagery and coarse-mode aerosol optical depth data from satellite sensor data, and dust emission and transport were simulated for Central Iran by using WRF-Chem with the AFWA and GOCART schemes. The results show that the dust concentration in Sistan and Baluchistan province and the Persian Gulf was as high as 2000 µg/m3, and both schemes estimate the highest amount of dust emissions from the central parts of Iran and the eastern part of Isfahan province. PM10 data of Yazd station was used to verify the model outputs, which showed that the AFWA dust scheme has a higher correlation coefficient with observations (0.62) than the GOCART dust scheme. This case study suggests that WRF-Chem dust schemes simulate dust rising and propagation in Central Iran with reasonably good reliability, though further determination and enhancement are still required for an accurate prediction of dust concentration and extents.

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Journal
Atmosphere
Published
2025-03-27
DOI
https://doi.org/10.3390/atmos16040383
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
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article

Application of WRF-Chem and HYSPLIT Models for Dust Storm Analysis in Central Iran (Case Study of Isfahan Province, 21–23 May 2016)

Nasim Hossein Hamzeh‎, Nir Y. Krakauer, Farshad Soleimani Sardoo
Atmosphere
Atmospheric aerosols and clouds
article

Application of WRF-Chem and HYSPLIT Models for Dust Storm Analysis in Central Iran (Case Study of Isfahan Province, 21–23 May 2016)

Nasim Hossein Hamzeh‎, Nir Y. Krakauer, Farshad Soleimani Sardoo
article en

Abstract

Dust is one of the most important problems of human societies in arid and semi-arid areas. This study analyzed the rising and propagation of the dust storm occurring from 21 to 23 May 2016 in Isfahan province (Central Iran) by using the WRF-Chem and HYSPLIT models. The dust storm was visualized using visible imagery and coarse-mode aerosol optical depth data from satellite sensor data, and dust emission and transport were simulated for Central Iran by using WRF-Chem with the AFWA and GOCART schemes. The results show that the dust concentration in Sistan and Baluchistan province and the Persian Gulf was as high as 2000 µg/m3, and both schemes estimate the highest amount of dust emissions from the central parts of Iran and the eastern part of Isfahan province. PM10 data of Yazd station was used to verify the model outputs, which showed that the AFWA dust scheme has a higher correlation coefficient with observations (0.62) than the GOCART dust scheme. This case study suggests that WRF-Chem dust schemes simulate dust rising and propagation in Central Iran with reasonably good reliability, though further determination and enhancement are still required for an accurate prediction of dust concentration and extents.

AtmosphereVol. 16(4)
City College of New York (US), University of Jiroft (IR), Stem Cell Technology Research Center (IR)
Openalex Percentile: Top 93%
Atmospheric aerosols and clouds
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