Czasopismo
2024
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Vol. 72, no. 2
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1413--1438
Tytuł artykułu
Autorzy
Wybrane pełne teksty z tego czasopisma
Warianty tytułu
Języki publikacji
Abstrakty
The most important component in determining the spatiotemporal distribution of aerosol at local and regional levels is aerosol optical depth (AOD). In this study, data has been obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite to examine spatiotemporal variations in AOD and their effects on the Angstrom Exponent (AE), and clouds parameters, namely cloud fraction, cloud optical thickness, cloud top pressure, cloud top temperature, ice cloud water path, liquid cloud water path, ice cloud effective radius, and liquid cloud effective radius over South Asia from July 2002 to July 2021. The highest values of AOD (0.53-0.7) were observed in the Indo-Gangetic basin (IGB) region over South Asia. The value of AOD of 0.7 is observed in the IGB region during summer. The 0.2 AOD value is observed in winter. The highest mean AOD (0.63 ± 0.09) observed in Bangladesh is due to the noteworthy increase in agricultural activities. The negative correlation between AOD and AE was noticed in Karachi (-0.24), Lahore (-0.04), Rawalpindi (-0.08), Mumbai (-0.03), Kathmandu (-0.49), Colombo (-0.19), and in Kabul (-0.51). A positive correlation is observed in Delhi (0.21), Bangalore (0.09), and Dhaka (0.17).
Czasopismo
Rocznik
Tom
Strony
1413--1438
Opis fizyczny
Bibliogr. 38 poz.
Twórcy
autor
- Department of Space Science, University of the Punjab, Lahore, Pakistan, Mahnoormalik1717@gmail.com
- Remote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Centre for Remote Sensing, University of the Punjab, Lahore, Pakistan
autor
- Department of Space Science, University of the Punjab, Lahore, Pakistan
- Remote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Centre for Remote Sensing, University of the Punjab, Lahore, Pakistan
autor
- Department of Space Science, University of the Punjab, Lahore, Pakistan
- Remote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Centre for Remote Sensing, University of the Punjab, Lahore, Pakistan
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-08c742d8-432b-445f-9a02-8dcbd660951b