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Proceedings Paper

Mapping of methane from Scanning Imaging Absorption Spectrometer for Atmospheric Cartography (SCIAMACHY)
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Paper Abstract

Among all the greenhouse gases, methane is the most dynamic and abundant greenhouse gas in the atmosphere. The global concentrations of atmospheric methane has increased more than doubled since pre-industrial times, with a current globally-averaged mixing ratio of ~ 1750 ppbv. Due to its high growth rate, methane brings significant effects on climate and atmospheric chemistry. There has a significant gap for variables between anthropogenic and natural sources and sinks of methane. Satellite observation of methane has been identified that it can provide the precise and accurate data globally, which sensitive to the small regional biases. 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 methane 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 2.0.2.Maps of time averaged (yearly, tri-monthly) methane 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 methane (denoted XCH4). 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 methane at surface source region. The results successfully identify the area with highest and lowest concentration of methane at Peninsular Malaysia using SCIAMACHY data. Therefore, the study is suitable to examine the distribution of methane at tropical region.

Paper Details

Date Published: 1 November 2012
PDF: 7 pages
Proc. SPIE 8534, Remote Sensing of Clouds and the Atmosphere XVII; and Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing VIII, 85340N (1 November 2012); doi: 10.1117/12.974790
Show Author Affiliations
K. C. Tan, Univ. Sains Malaysia (Malaysia)
H. S. Lim, Univ. Sains Malaysia (Malaysia)
M. Z. MatJafri, Univ. Sains Malaysia (Malaysia)


Published in SPIE Proceedings Vol. 8534:
Remote Sensing of Clouds and the Atmosphere XVII; and Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing VIII
Upendra N. Singh; Gelsomina Pappalardo; Evgueni I. Kassianov; Adolfo Comeron; Richard H. Picard; Klaus Schäfer, Editor(s)

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