An influence assessment of GSICS correction using sea surface temperature from geostationary satellite: COMS

Eun-Bin Park; Kyung-Soo Han; Jae-il Cho; Chang-Suk Lee; In-Hwan Kim; Kyoung-Jin Pi; Jae-Hyun Ryu; Jung-Mok Ha

doi:10.1117/12.2029142

24 October 2013 An influence assessment of GSICS correction using sea surface temperature from geostationary satellite: COMS

Eun-Bin Park, Kyung-Soo Han, Jae-il Cho, Chang-Suk Lee, In-Hwan Kim, Kyoung-Jin Pi, Jae-Hyun Ryu, Jung-Mok Ha

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Proceedings Volume 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV; 88931N (2013) https://doi.org/10.1117/12.2029142
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

There is a strong need for accurate estimation of radiance from satellite regarding establishing a climate records such as global climate circulation, change and Earth’s atmosphere. It is important that exact radiance measurements from satellite to numerical weather prediction models for climate change detection. Furthermore, accurate measurements from satellite rely on calibration of channel data in terms of the radiometric characteristics. Related to improved calibration and inter-calibration of the sensors, the World Meteorological Organization (WMO) and the Coordination Group for Meteorological Satellite (CGMS) initiated the Global Space-based Inter-Calibration System (GSICS) in 2005, which provide coefficients to the user community to adjust satellite observations. To assess influence of the GSICS corrections and impacts of input parameters changes on satellite products, the coefficients of the GSICS corrections were applied to infrared (IR) data from Communication Ocean and Meteorological Satellite (COMS), which have Meteorological Imager (MI) sensor for meteorological missions. The IR data centered at wavelengths of 10.8 (IR1) and 12.0^μm (IR2) from the COMS MI were compared with that of the Infrared Atmospheric Sounding Interferometer (IASI) sensor, which is reference sensor of the GSICS corrections. The IR1 and IR2 data that were corrected by GSICS produced Sea Surface Temperature (SST), which has been influenced by input parameters such as IR data and solar zenith angle. As a result of comparison with in situ measurements, the Global Telecommunication System (GTS) buoy data, COMS IR data that were corrected by the GSICS corrections produced high quality products of SST than original COMS IR data.

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Eun-Bin Park, Kyung-Soo Han, Jae-il Cho, Chang-Suk Lee, In-Hwan Kim, Kyoung-Jin Pi, Jae-Hyun Ryu, and Jung-Mok Ha "An influence assessment of GSICS correction using sea surface temperature from geostationary satellite: COMS", Proc. SPIE 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV, 88931N (24 October 2013); https://doi.org/10.1117/12.2029142

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KEYWORDS

Satellites

Meteorological satellites

Sensors

Infrared imaging

Calibration

Environmental sensing

Infrared sensors

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