Initial Study of Column-Integrated Aerosol Optical Properties over Birkat al Mouz, Sultanate of Oman

Abstract Purpose This study aims to provide the first analysis of aerosol optical properties, radiative forcing, and source identification over Birkat al Mouz, Oman, using Aerosol Robotic Network (AERONET) data from December 2022 to November 2024. Methods We analyzed Aerosol Optical Depth (AOD), Angstrom Exponent (AE), Single Scattering Albedo (SSA), aerosol radiative forcing (RF), and performed Concentration-Weighted Trajectory (CWT) analysis to identify aerosol transport pathways and sources. Results The highest aerosol loading (AOD = 0.49 ± 0.15) occurred in summer, with the lowest (0.17 ± 0.08) in winter. AE values (maximum 0.94 ± 0.20 in winter, minimum 0.42 ± 0.17 in summer) indicated coarse-mode aerosol dominance. Seasonal SSA values were highest in summer (0.95), confirming significant dust aerosol influence. Surface RF averaged − 43.81 W m −2 , atmospheric RF was 27.04 W m −2 , and aerosol-induced heating reached 0.74 K day −1 . CWT analysis revealed the Horn of Africa, and arid regions of the Arabian Peninsula as major aerosol sources. Conclusion Seasonal aerosol variations in Birkat al Mouz are predominantly driven by dust aerosols transported from remote regions, highlighting their significant role in regional climate forcing. Graphical abstract

Authors

Institutions

Publication Details

Journal
Aerosol and Air Quality Research
Published
2025-04-23
DOI
https://doi.org/10.1007/s44408-025-00014-0
Citations
1
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
1.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Initial Study of Column-Integrated Aerosol Optical Properties over Birkat al Mouz, Sultanate of Oman

Pawan Gupta, V. Vinoj, A. Smirnov, Baiju Dayanandan et al.
1 citations
Aerosol and Air Quality Research
Atmospheric aerosols and clouds
1.11
article

Initial Study of Column-Integrated Aerosol Optical Properties over Birkat al Mouz, Sultanate of Oman

Pawan Gupta, V. Vinoj, A. Smirnov, Baiju Dayanandan, Humaid AlBadi, Ahmed Al‐Harrasi, Binisia Sanatan, Tom F. Eck, N. Murali Krishna, Ajay Parottil
article en
1 citations

Abstract

Abstract Purpose This study aims to provide the first analysis of aerosol optical properties, radiative forcing, and source identification over Birkat al Mouz, Oman, using Aerosol Robotic Network (AERONET) data from December 2022 to November 2024. Methods We analyzed Aerosol Optical Depth (AOD), Angstrom Exponent (AE), Single Scattering Albedo (SSA), aerosol radiative forcing (RF), and performed Concentration-Weighted Trajectory (CWT) analysis to identify aerosol transport pathways and sources. Results The highest aerosol loading (AOD = 0.49 ± 0.15) occurred in summer, with the lowest (0.17 ± 0.08) in winter. AE values (maximum 0.94 ± 0.20 in winter, minimum 0.42 ± 0.17 in summer) indicated coarse-mode aerosol dominance. Seasonal SSA values were highest in summer (0.95), confirming significant dust aerosol influence. Surface RF averaged − 43.81 W m −2 , atmospheric RF was 27.04 W m −2 , and aerosol-induced heating reached 0.74 K day −1 . CWT analysis revealed the Horn of Africa, and arid regions of the Arabian Peninsula as major aerosol sources. Conclusion Seasonal aerosol variations in Birkat al Mouz are predominantly driven by dust aerosols transported from remote regions, highlighting their significant role in regional climate forcing. Graphical abstract

Aerosol and Air Quality ResearchVol. 25(5)
NSF National Center for Atmospheric Research (US), Goddard Space Flight Center (US), University of Nizwa (OM), Civil Aviation Authority (GB), Indian Institute of Technology Bhubaneswar (IN)
University of Nizwa, National Oceanic and Atmospheric Administration
Openalex Percentile: Top 25%
Atmospheric aerosols and clouds
1.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.