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Algorithm for Flat First-Year Ice Draft Using AMSR2 Data in the Arctic Ocean

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Algorithm for Flat First-Year Ice Draft Using AMSR2 Data in the Arctic Ocean
Other Titles
북극해에서의 AMSR2 관측자료를 이용한 일년빙 두께 추정 알고리즘 개발
E., Yoshizawa
K., Shimada
Cho, Kyoung-Ho
Engineering; Meteorology & Atmospheric Sciences
Microwave observations; Algorithms; Satellite observations
Issue Date
E. Yoshizawa, Koji Shimada, Cho, Kyoung-Ho. 2018. "Algorithm for Flat First-Year Ice Draft Using AMSR2 Data in the Arctic Ocean". JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 35(1): 2147-2157.
First-year ice has replaced multiyear ice in the Northern Sea Route area since 2008. In this area, sea ice survival during summer substantially depends on first-year ice thickness at melt onset, and thus monitoring of first-year ice thickness in the freezing period is a key to forecasting sea ice distributions in the following summer. In this paper, we introduce a new algorithm to estimate flat first-year ice draft using brightness temperature data measured by the Advanced Microwave Scanning Radiometer-2 (AMSR2). The algorithm uses a gradient ratio (GR) of 18- and 36-GHz vertically polarized brightness temperatures based on decreases in sea ice emissivity in higher AMSR2 frequency channels with thermodynamic growth associated with increase in volume scattering. Such spectral characteristics of the emissivity are examined by comparing GR values with flat first-year ice draft extracted by mode values of in situ draft data measured by a moored ice profiling sonar. The accuracy of the daily draft estimated from GR values after applying proper noise filters is about 10 cm for a draft range of 0.4-1.2 m.
Appears in Collections  
2018-2019, Korea-Arctic Ocean Observing System(K-AOOS) (18-19) / Kang, Sung-Ho (PM18040)
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