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Applying assumptions about the optical properties of dust, particularly the refractive index (RI), introduces significant uncertainty in thermal infrared dust-retrieval algorithms. To address this, we present a tailored RI dataset (ERML 2025) for Asian dust, derived from long-term chemical composition measurements in South Korea. An enhanced algorithm was developed using this Asian dust RI and thermal infrared channels from the GK-2 A Korean geostationary satellite. This LUT-based algorithm integrates three methods for dust layer height estimation: the Unified Model (UM), the Asian Dust Aerosol Model 3 (ADAM3), and a fixed-height approach. Operational dust detection processes and consistent assumptions were applied to minimize confounding variables in sensitivity tests. Qualitative validation using GK-2 A RGB and IASI-LMD products showed strong alignment in some regions and notable mismatches elsewhere, likely due to dust detection performance. Quantitative comparisons were conducted using MODIS data. Sensitivity analyses demonstrated that the combined use of the updated algorithm and UM model improved the operational method in most cases. Results also indicated that the updated algorithm retrieved higher AOD values, attributable to the increased absorption in the new RI dataset. Furthermore, comparisons with widely cited RI datasets revealed that while the real part of the Asian dust RI showed similar trends, its imaginary part differed markedly in magnitude and shape—reflecting the variability in dust origins. This region-specific RI dataset will help reduce inconsistencies in future studies caused by using RI values from remote sources that may not accurately represent Asian dust characteristics.

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기사명 저자명 페이지 원문 목차
Clustering and characteristic analysis of sub-daily scale (< 12 h) heavy rainfall types in South Korea based on observed rainfall data Ha-Yeong Yu, Myoung-Seok Suh, Ji-su Park, Yu-jeong Song, Chansoo Kim p. [?]
Applicability of reanalysis data in analyzing the occurrence time of extreme temperature events in China Zexiang Li, Yan Wu, Jinxing Sun, Juan Xiao, Hua Li, Huaxia Yao, Shuishi Xie, Lihong Meng, Xiujuan Li, Keyuan Zhong p. [?]
Improvement of dust retrieval algorithm using GK-2 A geo satellite thermal infrared channels by establishing observation Ehsan Parsa Javid, Sang Seo Park, Hyunkwang Lim, Kwang-Mog Lee p. 1-23
Influence of remote thermal disturbances induced by tropical cyclones on the East Asian subtropical westerly jet Tianju Wang, Ju Wang, Bowen Liu p. [?]
(An) investigation of dust activities in southwest Baluchestan, Iran, by synergistic use of handheld sunphotometer measurements and CALIPSO-CALIOP data Amir Masoumi, Ruhollah Moradhaseli, Ali Bayat, Farhad Narouie, Ali Akbari p. [?]
Limitations of ENSO-based prediction of Korean winter temperature Seungwoo Yoo, Jieun Kim, Jinwon Kim, Chang-Hoi Ho p. 1-11
Spatiotemporal analysis of pre-monsoon severe storms in northern Thailand using integrated crowdsourced and official data (2015–2024) Nattapon Mahavik, Apichaya Kangerd, Jamorn Kunwilai, Sarawut Arthayakun p. [?]
Global Ocean Data Assimilation and Prediction System2–ReAnalysis (GODAPS2-RA) project : preliminary results Seung-On Hwang, Yu-Kyung Hyun, Sang-Min Lee, Yeon-Hee Park, Johan Lee p. 1-23
(A) study on the adjustment of global navigation satellite system radio occultation observation errors to improve KIM forecast performance Eun-Hee Kim, Hyoung-Wook Chun, Jiyoung Son, Yong Hee Lee p. 1-19
(A) variable-resolution approach for KIM with a stretched grid Suk-Jin Choi, Hyun Nam p. [?]

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