{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T13:24:28Z","timestamp":1775741068465,"version":"3.50.1"},"reference-count":38,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2017,12,12]],"date-time":"2017-12-12T00:00:00Z","timestamp":1513036800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100015772","name":"National Meteorological Satellite Center","doi-asserted-by":"publisher","award":["NMSC-2016-01"],"award-info":[{"award-number":["NMSC-2016-01"]}],"id":[{"id":"10.13039\/501100015772","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/rs9121294","type":"journal-article","created":{"date-parts":[[2017,12,12]],"date-time":"2017-12-12T13:35:00Z","timestamp":1513085700000},"page":"1294","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Atmospheric Profile Retrieval Algorithm for Next Generation Geostationary Satellite of Korea and Its Application to the Advanced Himawari Imager"],"prefix":"10.3390","volume":"9","author":[{"given":"Su","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Atmospheric Sciences and Engineering, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2044-5336","authenticated-orcid":false,"given":"Myoung-Hwan","family":"Ahn","sequence":"additional","affiliation":[{"name":"Department of Atmospheric Sciences and Engineering, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Korea"}]},{"given":"Sung-Rae","family":"Chung","sequence":"additional","affiliation":[{"name":"National Meteorological Satellite Center, 64-18, Guam-gil, Gwanghyewon-myeon, Jincheon-gun, Chungcheongbuk-do 27803, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2017,12,12]]},"reference":[{"key":"ref_1","unstructured":"Ambrosetti, P. 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