Investigating the spatial and temporal variation of Aerosols and Cloud Parameters over South Asia, using remote sensing. Article Swipe
mahnoor malik
,
Salman Tariq
,
Zia ul Haq
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-2644385/v1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-2644385/v1
Aerosol optical depth (AOD) is the most crucial factor in determining how aerosol at local, and regional levels are spatiotemporally distributed. In this study, data has been obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite to examine spatiotemporal variations in aerosol optical depth (AOD) and their effects on the Angstrom Exponent (AE), and clouds parameters, namely cloud fraction (CF), cloud optical thickness (COT), cloud top pressure (CTP), cloud top temperature (CTT), ice cloud water path (ICWP), liquid cloud water path (LCWP), ice cloud effective radius (ICER), and liquid cloud effective radius (LCER) 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 highest values of AE (1.36 to 1.7) were observed in south-eastern India, Nepal, north-western Bangladesh, and Bhutan. The highest value of AOD is observed to be 0.7 in the IGB region during summer. The lowest value of AOD (0.2) was observed in winter. The highest mean value of 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).
Related Topics
Concepts
Moderate-resolution imaging spectroradiometer
Liquid water path
Aerosol
Angstrom exponent
Environmental science
Cloud fraction
Effective radius
South asia
Atmospheric sciences
Climatology
Cloud computing
RADIUS
Satellite
Meteorology
Geography
Cloud cover
Physics
Geology
Ethnology
History
Astronomy
Operating system
Galaxy
Computer security
Computer science
Quantum mechanics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-2644385/v1
- https://www.researchsquare.com/article/rs-2644385/latest.pdf
- OA Status
- green
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4353074911
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4353074911Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21203/rs.3.rs-2644385/v1Digital Object Identifier
- Title
-
Investigating the spatial and temporal variation of Aerosols and Cloud Parameters over South Asia, using remote sensing.Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-22Full publication date if available
- Authors
-
mahnoor malik, Salman Tariq, Zia ul HaqList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-2644385/v1Publisher landing page
- PDF URL
-
https://www.researchsquare.com/article/rs-2644385/latest.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.researchsquare.com/article/rs-2644385/latest.pdfDirect OA link when available
- Concepts
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Moderate-resolution imaging spectroradiometer, Liquid water path, Aerosol, Angstrom exponent, Environmental science, Cloud fraction, Effective radius, South asia, Atmospheric sciences, Climatology, Cloud computing, RADIUS, Satellite, Meteorology, Geography, Cloud cover, Physics, Geology, Ethnology, History, Astronomy, Operating system, Galaxy, Computer security, Computer science, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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33Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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