Spatiotemporal characteristics of the atmospheric AOD in the Gobi desert according to data of the ground-based observations

Zayakhanov, A. S.; Жамсуева, Г. С.; Naguslaev, Sergey; Tsydypov, V. V.; Ayurzhanaev, A. A.; Сакерин, С. М.; Kabanov, D. M.; Azzaya, Dolgorsuren; Oyunchimeg, D.

doi:10.1134/s1024856012050119

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…In addition, a change in temperature and humidity conditions was noted. Earlier, in the second half of summer (July-August), cyclonic activity sharply was intensifying, leading to an increase in relative humidity and precipitation [22]. However, as can be seen from Figure 6b, in the second half of summer since 2012, an increase in the mean monthly air temperature and a decrease in the relative humidity were seen at the Boyarsky station.…”

Section: The Results Of Studies Of the Aod Atmosphere At The Boyarsky...mentioning

confidence: 89%

“…, where τ λ1 is AOD at a wavelength of 440 nm, τ λ2 is AOD at a wavelength of 870 nm; λ 1 is the wavelength at 440 nm and λ 2 is the wavelength at 870 nm. The contribution of the aerosol component to the transparency of the atmosphere varies considerably depending on the geographic location, meteorological factors, the nature of the underlying surface, and the influence of natural and anthropogenic sources of aerosol entry into the atmosphere [21,22].…”

Section: Introductionmentioning

confidence: 99%

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Interannual and Seasonal Variation of Optical and Microphysical Properties of Aerosol in the Baikal Region

et al. 2022

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The paper analyzes the interannual, seasonal variations of the optical and microphysical characteristics of aerosol in the Baikal region atmosphere according to measurements using the CIMEL sun photometer of the AERONET network at Tory station and according to the data of expedition measurements using the SP-9 sun photometer on the southeastern coast of Lake Baikal from 2010 to 2020. It is shown that in recent years, there has been an increase of the average monthly aerosol optical depth (AOD) values in the summer months, which is consistent with an increase in smoke emission due to annual large-scale wildfires in the boreal forests of Siberia and Yakutia in summer. Aerosol classification was carried out based on filtration and selection of the prevailing types of aerosols by analysis of aerosol optical depth and Angstrom exponent. It was revealed that in summer, the proportion of the smoke component of the aerosol optical depth increases to 30% compared to the spring. In the presence of smoke advection, the close relationship of AOD with the concentrations of the microdispersed aerosol fraction PM10 and PM2.5 was revealed. The correlation coefficients between the concentration of particulate matter (PM10 and PM2.5) and AOD were 0.87 and 0.86, respectively.

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Section: The Results Of Studies Of the Aod Atmosphere At The Boyarsky...mentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Interannual and Seasonal Variation of Optical and Microphysical Properties of Aerosol in the Baikal Region

et al. 2022

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“…This variation is due to the high variety of the sources of origin of the various aerosols as well as their limited period of residence in the atmosphere (Rezaei et al, 2018;Srivastava et al, 2016). Previous studies Investigated the spatialtemporal variability of aerosols in different regions of the world, referring to stable atmospheric conditions, high temperature, high humidity and low elevation, which result in a high concentration of AOD in the region (Zayakhanov et al, 2012;Cheng et al, 2015) (He et al, 2016;Boiyo et al, 2017). In Iraq, there is no site of Aerosol Robotic Network (AERONET), All related research works depend on satellite date satellite data which provide a good opportunity to monitor spatio-seasonal heterogeneity of aerosol properties.…”

Section: Introductionmentioning

confidence: 99%

Dynamical Transportation of Aerosols for Extreme Dust Storms Over Al-Jazira Region

Mohammed¹,

Khadum²,

Al-lami³

et al. 2022

IGJ

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The characteristics and classifications of aerosol properties over Iraq was studied in this paper. The 1°×1° grid of monthly aerosol optical depth and angstrom exponent data of the period 2005 to 2017 in Iraq is used from Terra of MODIS. Moreover, the 1°×1° grid of Aerosol Index is used and it is available from NASA's Data and Information Services Center for Earth Sciences (GESDISC). The backtrjectory for 12 dust extreme events over the Al-Jaziraregion was studied by using the Single-Particle Lagrangian Integrated Trajectory model (HySplit-4). The spatial-seasonal aerosol properties over Iraq were obtained from EOS-Aura satellite by Ozone Monitoring Instrument. The high-high clusters of aerosol optical depth and Aerosol Index values which refer to high concentration have been found in western and southern Iraq however low-low clusters have been found in the winter season over the whole of Iraq. According to Angstrom Exponent, there are three kinds of aerosol modes: fine, mixture, and coarse. This classification shows the maximum area under fine aerosols mode has occurred in the winter with 13.6% whereas the spring season did not show any area with fine aerosols mode. Moreover, the coarse mode covers the maximum area during the summer season with 97.7% and the minimum area during the winter season with 77. 2%. To demonstrate the relationship between topography and aerosol characteristics, Aerosol Properties Index is used which shows the degree of aerosol coarseness in each pixel. Using Geographically Weighted Regression and Ordinary Least Squares, the Aerosol Properties Index geographical distribution is strongly influenced by topographic conditions. Where the maximum coefficient of determination has been observed in the spring (R2=0.91) from the Geographically Weighted Regression model, while Ordinary Least Squares shows a lower coefficient of determination (R2=0.33), Geographically Weighted Regression in comparison to Ordinary Least Squares shows a better coefficient of determination in all seasons. The back trajectory for extreme dust events shows that some sources of air masses and their path to the study area through two pressure levels (1000 mb, 850 mb) and the geographical desert in the area of the study are the main cause of dust storms in the study area.

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Long-term aerosol optical depth trend over Iran and identification of dominant aerosol types

Yousefi

Wang

et al. 2020

Science of The Total Environment

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Spatiotemporal characteristics of the atmospheric AOD in the Gobi desert according to data of the ground-based observations

Cited by 6 publications

References 7 publications

Interannual and Seasonal Variation of Optical and Microphysical Properties of Aerosol in the Baikal Region

Interannual and Seasonal Variation of Optical and Microphysical Properties of Aerosol in the Baikal Region

Dynamical Transportation of Aerosols for Extreme Dust Storms Over Al-Jazira Region

Long-term aerosol optical depth trend over Iran and identification of dominant aerosol types

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