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Distribution of Antarctic Sea Ice from Satellite Altimetry in the Weddell Sea: Preliminary Results
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  • Distribution of Antarctic Sea Ice from Satellite Altimetry in the Weddell Sea: Preliminary Results
  • Distribution of Antarctic Sea Ice from Satellite Altimetry in the Weddell Sea: Preliminary Results
저자명
Kim. Jeong-Woo,Hong. Sung-Min,Hwang. Jong-Sun,Yoon. Ho-Il,Lee. Bang-Yong,Kim. Yea-Dong
간행물명
Ocean and polar research
권/호정보
2002년|24권 3호|pp.255-261 (7 pages)
발행정보
한국해양연구원
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

We investigated the distribution of sea ice using Topex/Poseidon (T/P) and ERS-1 .ada. altimeter data in the northwest Weddell Sea, Antarctica, between the area $45-75^{circ}W;and;55-66^{circ}S$. Using the Geo_Bad_1 flag of the Merged GDR of the T/P, we classified the surface into ocean, land, and sea. Total 257 cycles of altimeter measurements between Oct. 1992 and Sep. 1999 (for nearly 2570 days) were used to analyze the distribution of the Antarctic sea ice. We then calculated the surface area of ice coverage using SUTM20 map projection to monitor the periodic variations. Each year, the maximum and minimum coverage of the sea ice were found in late August and February in the study area, respectively. We also studied the sea ice distribution using ERS-1 altimeter data between $45-75^{circ}W;and;55-81.5^{circ}S$ to compare with the T/P Using the Valid/Invalid flag of the Ocean Product, we analyzed the sea ice distribution between March and August of 1995, which showed very good coherence with the T/P measurements. Our preliminary results showed that the altimeter measurements can be effectively used to monitor the distribution of the sea ice in the polar region. However, the size of radar footprint, typically 2-6km depending on the roughness of the sea surface, may be too big to monitor the sharp boundary between ice and water/land. If more other altimeter mission data with dense coverage such as Geosat GM are analyzed together, this limitation can be significantly improved. If we also combine other microwave remote sensing data such as radiometer, and SSM/I, the result will be significantly enhanced.