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Atmospheric profile retrieval algorithm for next generation geostationary satellite of Korea and its application to the advanced Himawari Imager

Title
Atmospheric profile retrieval algorithm for next generation geostationary satellite of Korea and its application to the advanced Himawari Imager
Authors
Lee S.J.Ahn M.-H.Chung S.-R.
Ewha Authors
안명환
SCOPUS Author ID
안명환scopus
Issue Date
2017
Journal Title
Remote Sensing
ISSN
2072-4292JCR Link
Citation
vol. 9, no. 12
Keywords
Clear sky atmospheric profile retrievalHimawari AHIInformation contentsNext generation geostationary imagerOptimal estimationTotal precipitable water
Publisher
MDPI AG
Indexed
SCOPUS; SCIE scopus
Abstract
In preparation for the 2nd geostationary multi-purpose satellite of Korea with a 16-channel Advanced Meteorological Imager; an algorithm has been developed to retrieve clear-sky vertical profiles of temperature (T) and humidity (Q) based on a nonlinear optimal estimation method. The performance and characteristics of the algorithm have been evaluated using the measured data of the Advanced Himawari Imager (AHI) on board the Himawari-8 of Japan, launched in 2014. Constraints for the optimal estimation solution are provided by the forecasted T and Q profiles from a global numerical weather prediction model and their error covariance. Although the information contents for temperature is quite low due to the limited number of channels used in the retrieval; the study reveals that useful moisture information (2~3 degrees of freedom for signal) is provided from the three water vapor channels; contributing to the increase in the moisture retrieval accuracy upon the model forecast. The improvements are consistent throughout the tropospheric atmosphere with almost zero mean bias and 9% (relative humidity) of root mean square error between 100 and 1000 hPa when compared with the quality-controlled radiosonde data from 2016 August. © 2017 by the author.
DOI
10.3390/rs9121294
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일반대학원 > 대기과학공학과 > Journal papers
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