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Journal Article

Improvements of 6S Look-Up-Table Based Surface Reflectance Employing Minimum Curvature Surface Method

Kyeong-Sang Lee; Chang Suk Lee; Minji Seo; Sungwon Choi; Noh-Hun Seong; Donghyun Jin; Jong-Min Yeom; Kyung-Soo Han
Asia-Pacific Journal of Atmospheric Sciences · Vol. 56, Issue 2 · pp. 235-248 · 2020

Abstract

We propose a methodology employing an interpolation technique on the Second Simulation of a Satellite Signal (6S) look-up table (LUT) to improve surface reflectance retrieval using Himawari-8/Advanced Himawari Imager (AHI). A minimum curvature surface (MCS) technique was used to refine the 6S LUT, and the solar zenith angle (SZA) and viewing zenith angle (VZA) increments were narrowed by 0.5°. The interpolation processing time was relatively short, about 3172 s per channel, and the interpolated xa and xb were well represented by the changes in SZA and VZA. An evaluation of the interpolated xa and xb for six cases revealed a relative mean absolute error of less than 5% for all channels and cases; however, a slight difference was evident for higher values of SZA and VZA. To evaluate the surface reflectance, we compared the surface reflectance derived using 6S LUT with that calculated using 6S only. Application of the interpolated 6S LUT showed a lower relative root mean square error (RRMSE) of 0.65% to 9.29% for all channels, than before interpolation. The improvement in surface reflectance measurements increased with the SZA. For a SZA above 75°, the RRMSE improved significantly for all channels (by 11.33–45.1%). In addition, when the MCS method was applied, the surface reflectance measurements improved without spatial discontinuity and showed good agreement with 6S results in a linear profile analyses. Thus, the method proposed can improve LUT based surface reflectance measurements in less time and increase the availability of surface reflectance data based on geostationary satellites.

Bibliographic Information

JournalAsia-Pacific Journal of Atmospheric Sciences
PublisherSpringer
Publication Date2020-05-01
Publication Year2020
Volume56
Issue2
Pages235-248
Document TypeJournal Article
Print ISSN1976-7633
eISSN1976-7951
DOI10.1007/s13143-019-00164-3

Access Information

NARA Access Coverage2010-01-01~Current
Journal Homepagehttps://www.springer.com/journal/13143
Publisher PageOpen Publisher Page
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