Application of GOCI Satellite Data to Ocean Modeling SCIE SCOPUS

Cited 5 time in WEB OF SCIENCE Cited 3 time in Scopus
Title
Application of GOCI Satellite Data to Ocean Modeling
Author(s)
Kim, Chang S.; Park, Young-Je; Park, Kwang Soon; Shim, Jae Seol; Lim, Hak-Soo
KIOST Author(s)
Park, Young Je(박영제)Lim, Hak Soo(임학수)
Publication Year
2013
Abstract
This study demonstrates possible application of satellite data to numerical modeling, and vice versa, to improve the quality of the processed information. A new geostationary satellite with the three missions of communication, ocean and meteorology was launched in June 2010. The ocean mission part, GOCI (The geostationary Ocean Color Imager), is now in data service of ocean color images at every hour during daytime with a spatial resolution of 500 m. The scanned data covers the north Pacific with focusing on Korean Peninsula and adjacent seas. Using the optical sensors, the GOCI images usually contain the cloud-blocked zone. We investigate a method to acquire the cloud-free images of environment information by using the operational 3-D ocean model, the ROMS. The clear-image data are used as boundary condition to the numerical modeling, and then the model results are used to recover the cloud-covered area. The hourly varying image data are also excellent data for the ocean numerical modeling in terms of temporal and spatial variation of the ocean environment. By close examination of hourly producing images from GOCI, the temporal variation is very useful for operational purpose along with the three-dimensional ocean model such as ROMS. Being in operational mode, the ROMS ocean model produces temporal and structural variation of coastal features by using the compatible GOCI data, or the GOCI images can be improved by using the model results for cloud-free images. This study shows some excellent test cases on various coastal phenomena, such as a river plume of highly turbid waters, coastal upwelling, transport of algal bloom, typhoon tracking and the distribution of surface suspended sediment concentration. A method for the convergence of GOCI data and ocean model results has been introduced. The clouding network system for the convergence of satellite data and ocean model data is a promising method that combines two different media, thus yielding dynamically validated products.
ISSN
0749-0208
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/3343
DOI
10.2112/SI65-238.1
Bibliographic Citation
JOURNAL OF COASTAL RESEARCH, pp.1409 - 1414, 2013
Publisher
COASTAL EDUCATION & RESEARCH FOUNDATION
Subject
3RD-GENERATION WAVE MODEL; COASTAL WATERS; KYUNGGI BAY; REGIONS
Keywords
Geostationaly Ocean Color Imager (GOCI); cloud-free image; hourly varying image data; ROMS operational mode; convergence of satellite data with model data
Type
Article
Language
English
Document Type
Article; Proceedings Paper
Publisher
COASTAL EDUCATION & RESEARCH FOUNDATION
Related Researcher
Research Interests

Coastal Disaster Prevention,Coastal Erosion Research,Coastal Ocean Modeling,연안재해방재,연안침식연구,연안해양모델링

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