DocumentCode
3008039
Title
Carbon dioxide distribution over Peninsular Malaysia from Scanning Imaging Absorption Spectrometer for Atmospheric Cartography (SCIAMACHY)
Author
Tan, K.C. ; Lim, H.S. ; Jafri, M. Z Mat
Author_Institution
Sch. of Phys., Univ. Sains Malaysia, Minden, Malaysia
fYear
2012
fDate
3-5 July 2012
Firstpage
354
Lastpage
357
Abstract
Carbon dioxide (CO2) is the most important anthropogenic greenhouse gases in Earth´s atmosphere, which is affecting air quality and contributing to global climate change. Emission of CO2 comes from fossil fuel burning, deforestation of the Earth, and human exhale. There has a significant gap for variables between anthropogenic and natural sources and sinks of CO2. Satellite observation of CO2 has been identified that it can provide the precise and accurate data globally, which sensitive to the small regional biases. The global atmospheric concentration of CO2 increased from pre-industrial value of about 280 ppm to 379 ppm in 2005. We present measurements from Scanning Imaging Absorption Spectrometer for Atmospheric Cartography (SCIAMACHY) included on the European environmental satellite ENVISAT, launched on 1st of March 2002. Main objective of this study is to examine the CO2 distribution over Peninsular Malaysia using SCIAMACHY level-3 data. They are derived from the near-infrared nadir observations of the SCIAMACHY at the University of Bremen through scientific WFM-DOAS retrieval algorithm version 0.4. Maps of time averaged (yearly, tri-monthly) CO2 was generated and analyzed over Peninsular Malaysia for the year 2003 using PCI Geomatica 10.3 image processing software. The maps show dry-air column averaged mixing ratios of CO2 (denoted XCO2). It was retrieved using the interpolation technique. The concentration changes within boundary layer at all altitude levels are equally sensitive through the SCIAMACHY near-infrared nadir observations. Hence, we can make observation of CO2 at surface source region. The results successfully identify the area with highest and lowest concentration of CO2 at Peninsular Malaysia using SCIAMACHY data. Therefore, the study is suitable to examine the distribution of CO2 at tropical region.
Keywords
air pollution; atmospheric chemistry; carbon compounds; cartography; climate mitigation; interpolation; remote sensing; spectrometers; CO2; ENVISAT; Earth deforestation; European environmental satellite; PCI Geomatica 10.3 image processing software; SCIAMACHY; WFM-DOAS retrieval algorithm; air quality; altitude levels; anthropogenic greenhouse gas; boundary layer; carbon dioxide distribution; dry air column; fossil fuel burning; global atmospheric concentration; global climate change; human exhale; interpolation technique; near-infrared nadir observations; satellite observation; scanning imaging absorption spectrometer for atmospheric cartography; surface source region; Atmospheric measurements; Atmospheric modeling; Carbon dioxide; Global warming; Meteorology; Satellites; CO2 ; SCIAMACHY; tri-monthly;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Communication Engineering (ICCCE), 2012 International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4673-0478-8
Type
conf
DOI
10.1109/ICCCE.2012.6271210
Filename
6271210
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