Paper
16 October 2015 Remote sensing for studying atmospheric aerosols in Malaysia
Kasturi Devi Kanniah, Nurul Amalin Fatihah Kamarul Zaman
Author Affiliations +
Abstract
The aerosol system is Southeast Asia is complex and the high concentrations are due to population growth, rapid urbanization and development of SEA countries. Nevertheless, only a few studies have been carried out especially at large spatial extent and on a continuous basis to study atmospheric aerosols in Malaysia. In this review paper we report the use of remote sensing data to study atmospheric aerosols in Malaysia and document gaps and recommend further studies to bridge the gaps. Satellite data have been used to study the spatial and seasonal patterns of aerosol optical depth (AOD) in Malaysia. Satellite data combined with AERONET data were used to delineate different types and sizes of aerosols and to identify the sources of aerosols in Malaysia. Most of the aerosol studies performed in Malaysia was based on station-based PM10 data that have limited spatial coverage. Thus, satellite data have been used to extrapolate and retrieve PM10 data over large areas by correlating remotely sensed AOD with ground-based PM10. Realising the critical role of aerosols on radiative forcing numerous studies have been conducted worldwide to assess the aerosol radiative forcing (ARF). Such studies are yet to be conducted in Malaysia. Although the only source of aerosol data covering large region in Malaysia is remote sensing, satellite observations are limited by cloud cover, orbital gaps of satellite track, etc. In addition, relatively less understanding is achieved on how the atmospheric aerosol interacts with the regional climate system. These gaps can be bridged by conducting more studies using integrated approach of remote sensing, AERONET and ground based measurements.
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Kasturi Devi Kanniah and Nurul Amalin Fatihah Kamarul Zaman "Remote sensing for studying atmospheric aerosols in Malaysia", Proc. SPIE 9640, Remote Sensing of Clouds and the Atmosphere XX, 96400T (16 October 2015); https://doi.org/10.1117/12.2194789
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Aerosols

Atmospheric particles

Satellites

Remote sensing

Atmospheric sensing

Clouds

Phase modulation

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