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Estimation of uncertainties in the spectral response function of the water vapor channel of a meteorological imager

Title
Estimation of uncertainties in the spectral response function of the water vapor channel of a meteorological imager
Authors
Ahn M.-H.Lee S.J.Kim D.
Ewha Authors
안명환
SCOPUS Author ID
안명환scopus
Issue Date
2015
Journal Title
Proceedings of SPIE - The International Society for Optical Engineering
ISSN
0277-786XJCR Link
Citation
vol. 9535
Keywords
GSICSIASIMeteorological ImagerSpectral Response Function
Publisher
SPIE
Indexed
SCOPUS scopus
Abstract
The five channel meteorological imager (MI) on-board the geostationary Communication, Ocean, and Meteorological Satellite (COMS) of Korea has been operationally used since April 2011. For a better utilization of the MI data, a rigorous characterization of the four infrared channel data has been conducted using the GSICS (Global Space-based Inter-Calibration System) approach with the IASI (Infrared Atmospheric Sounding Interferometer) on-board the European Metop satellite as the reference instrument. Although all four channels show the uncertainty characteristics that are in line with the results from both the ground tests and the in-orbit-test, there shows an unexpected systematic bias in the water vapor channel of MI, showing a cold bias at the warm target temperature and a warm bias with the cold target temperature. It has been shown that this kind of systematic bias could be introduced by the uncertainties in the spectral response function (SRF) of the specific channel which is similar to the heritage instruments on-board GOES series satellite. An extensive radiative transfer simulation using a radiative transfer model has confirmed that the SRF uncertainty could indeed introduce such a systematic bias. By using the collocated data set consisting of the MI data and the hyperspectral IASI data, the first order correction value for the SRF uncertainty is estimated to be about 2.79 cm-1 shift of the central position of the current SRF. © 2015 Copyright SPIE.
DOI
10.1117/12.2192518
ISBN
9781628417005
Appears in Collections:
일반대학원 > 대기과학공학과 > Journal papers
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