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Remote Sens. 2017, 9(12), 1294; doi:10.3390/rs9121294

Atmospheric Profile Retrieval Algorithm for Next Generation Geostationary Satellite of Korea and Its Application to the Advanced Himawari Imager

1
Department of Atmospheric Sciences and Engineering, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Korea
2
National Meteorological Satellite Center, 64-18, Guam-gil, Gwanghyewon-myeon, Jincheon-gun, Chungcheongbuk-do 27803, Korea
*
Author to whom correspondence should be addressed.
Received: 25 October 2017 / Revised: 5 December 2017 / Accepted: 8 December 2017 / Published: 12 December 2017
(This article belongs to the Section Atmosphere Remote Sensing)
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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. View Full-Text
Keywords: clear sky atmospheric profile retrieval; Himawari AHI; optimal estimation; next generation geostationary imager; information contents; total precipitable water clear sky atmospheric profile retrieval; Himawari AHI; optimal estimation; next generation geostationary imager; information contents; total precipitable water
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Lee, S.J.; Ahn, M.-H.; Chung, S.-R. Atmospheric Profile Retrieval Algorithm for Next Generation Geostationary Satellite of Korea and Its Application to the Advanced Himawari Imager. Remote Sens. 2017, 9, 1294.

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