Articles | Volume 15, issue 7
https://doi.org/10.5194/acp-15-3755-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-3755-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Monsoonal variations in aerosol optical properties and estimation of aerosol optical depth using ground-based meteorological and air quality data in Peninsular Malaysia
F. Tan
CORRESPONDING AUTHOR
School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia
H. S. Lim
School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia
K. Abdullah
School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia
T. L. Yoon
School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia
B. Holben
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
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Cited
12 citations as recorded by crossref.
- A description of methods for deriving air pollution land use regression model predictor variables from remote sensing data in Ulaanbaatar, Mongolia W. Yuchi et al.
- Seasonal Variations of Aerosol Optical Properties and Identification of Different Aerosol Types Based on AERONET Data over Sub-Sahara West-Africa M. Balarabe et al.
- Spatiotemporal Trends of Aerosols over Urban Regions in Pakistan and Their Possible Links to Meteorological Parameters G. Ali et al.
- Variability of aerosol optical depth with precipitable water vapour at different wavelengths in the recent decade A. Azi & L. San
- Long-term satellite-based estimates of air quality and premature mortality in Equatorial Asia through deep neural networks N. Bruni Zani et al.
- Monthly Temporal-Spatial Variability and Estimation of Absorbing Aerosol Index Using Ground-Based Meteorological Data in Nigeria M. Balarabe et al.
- Global horizontal irradiance forecast for Finland based on geostationary weather satellite data V. Kallio-Myers et al.
- Development of a Quality Control and Cloud-screening Algorithm for Sun Photometry Langley Calibration C. Jackson et al.
- Spatial variations and trends in AOD climatology over East Africa during 2002–2016: a comparative study using three satellite data sets R. Boiyo et al.
- Impact of the Dust Aerosol Model on the VIIRS Aerosol Optical Depth (AOD) Product across China Y. Wang et al.
- An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks B. Holben et al.
- Overview of atmospheric aerosol studies in Malaysia: Known and unknown K. Kanniah et al.
12 citations as recorded by crossref.
- A description of methods for deriving air pollution land use regression model predictor variables from remote sensing data in Ulaanbaatar, Mongolia W. Yuchi et al.
- Seasonal Variations of Aerosol Optical Properties and Identification of Different Aerosol Types Based on AERONET Data over Sub-Sahara West-Africa M. Balarabe et al.
- Spatiotemporal Trends of Aerosols over Urban Regions in Pakistan and Their Possible Links to Meteorological Parameters G. Ali et al.
- Variability of aerosol optical depth with precipitable water vapour at different wavelengths in the recent decade A. Azi & L. San
- Long-term satellite-based estimates of air quality and premature mortality in Equatorial Asia through deep neural networks N. Bruni Zani et al.
- Monthly Temporal-Spatial Variability and Estimation of Absorbing Aerosol Index Using Ground-Based Meteorological Data in Nigeria M. Balarabe et al.
- Global horizontal irradiance forecast for Finland based on geostationary weather satellite data V. Kallio-Myers et al.
- Development of a Quality Control and Cloud-screening Algorithm for Sun Photometry Langley Calibration C. Jackson et al.
- Spatial variations and trends in AOD climatology over East Africa during 2002–2016: a comparative study using three satellite data sets R. Boiyo et al.
- Impact of the Dust Aerosol Model on the VIIRS Aerosol Optical Depth (AOD) Product across China Y. Wang et al.
- An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks B. Holben et al.
- Overview of atmospheric aerosol studies in Malaysia: Known and unknown K. Kanniah et al.
Saved (final revised paper)
Latest update: 07 May 2026
Short summary
Southeast Asia stands out globally, as it hosts one of the most complex meteorological and environmental conditions, making remote sensing difficult both for AERONET and satellites. Cloud-cleared data leave gaps in our remote sensing data record, and conversely, residual cloud contamination of remotely sensed data causes challenging tasks for scientists studying aerosols. With the main motivation of overcoming this problem, an AOD-predicting model is proposed.
Southeast Asia stands out globally, as it hosts one of the most complex meteorological and...
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