Temporal evolution of dust in the atmosphere of Baluchestan, southeast Iran, studied by handheld sun-photometer, space-borne lidar, and synoptic data

\nThe atmospheric aerosol parameters in the vicinity of Iranshahr County in Baluchestan, located in the southeast of Iran (27.00-27.40 °N, 60.09-61.09 °E), were investigated using a Calitoo handheld sunphotometer, space-borne CALIOP-CALIPSO lidar, and synoptic station measurements. The findings indicate the prevalence of dust aerosols throughout the year, with a pronounced presence during the summer season. The Aerosol Optical Depth (AOD), as determined by Calitoo measurements at 540 nm between April and October 2022, peaked in July with a maximum value of 0.63 ± 0.20. During this month, the Angstrom exponent reached the value of 0.44 ± 0.21, providing further evidence of severe dust storm activities in the region. An analysis of the level 2 aerosol profile data obtained from CALIOP measurements spanning a decade (2013-2022) has been presented. The results derived from the vertical profiles of extinction coefficient, depolarization ratio, and AODs are consistent with those measured by Calitoo. The monthly-averaged AOD at 532 nm exhibited its maximum and minimum values in July and January, registering at 0.83 ± 0.36 and 0.09 ± 0.13, respectively. As indicated by prior research, the primary atmospheric system responsible for dust events in the area is the north and northwesterly “120-days” or the Levar wind. Synoptic measurements of horizontal visibility indicated a significant reduction during the Levar wind period, which extends from April to late August.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-10-11
DOI
https://doi.org/10.1051/e3sconf/202457501010/pdf
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
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article

Temporal evolution of dust in the atmosphere of Baluchestan, southeast Iran, studied by handheld sun-photometer, space-borne lidar, and synoptic data

Springer Link (Chiba Institute of Technology)
Atmospheric aerosols and clouds
article

Temporal evolution of dust in the atmosphere of Baluchestan, southeast Iran, studied by handheld sun-photometer, space-borne lidar, and synoptic data

article en

Abstract

\nThe atmospheric aerosol parameters in the vicinity of Iranshahr County in Baluchestan, located in the southeast of Iran (27.00-27.40 °N, 60.09-61.09 °E), were investigated using a Calitoo handheld sunphotometer, space-borne CALIOP-CALIPSO lidar, and synoptic station measurements. The findings indicate the prevalence of dust aerosols throughout the year, with a pronounced presence during the summer season. The Aerosol Optical Depth (AOD), as determined by Calitoo measurements at 540 nm between April and October 2022, peaked in July with a maximum value of 0.63 ± 0.20. During this month, the Angstrom exponent reached the value of 0.44 ± 0.21, providing further evidence of severe dust storm activities in the region. An analysis of the level 2 aerosol profile data obtained from CALIOP measurements spanning a decade (2013-2022) has been presented. The results derived from the vertical profiles of extinction coefficient, depolarization ratio, and AODs are consistent with those measured by Calitoo. The monthly-averaged AOD at 532 nm exhibited its maximum and minimum values in July and January, registering at 0.83 ± 0.36 and 0.09 ± 0.13, respectively. As indicated by prior research, the primary atmospheric system responsible for dust events in the area is the north and northwesterly “120-days” or the Levar wind. Synoptic measurements of horizontal visibility indicated a significant reduction during the Levar wind period, which extends from April to late August.\n

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 67%
Atmospheric aerosols and clouds
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Temporal evolution of dust in the atmosphere of Baluchestan, southeast Iran, studied by handheld sun-photometer, space-borne lidar, and synoptic data · Springer Link (Chiba Institute of Technology) (2024) | TGRS Research Map | TGRS