JpGU-AGU Joint Meeting 2017

講演情報

[EE] ポスター発表

セッション記号 A (大気水圏科学) » A-CG 大気水圏科学複合領域・一般

[A-CG46] [EE] 衛星による地球環境観測

2017年5月20日(土) 10:45 〜 12:15 ポスター会場 (国際展示場 7ホール)

コンビーナ:沖 理子(宇宙航空研究開発機構)、Allen A Huang(University of Wisconsin Madison)、Gail Skofronick Jackson(NASA Goddard Space Flight Center)、本多 嘉明(千葉大学環境リモートセンシング研究センター)、Paul Chang(NOAA College Park)

[ACG46-P22] Analyzing Variations of the Kuroshio east of Taiwan using Satellite Altimetry and Hydrographical and Tide gauge data

*Wen-hau Lan1Chung-Yen Kuo1Chi-Hung Chang2C.K. Shum3Yuchan Yi3 (1.Department of Geomatics, National Cheng Kung University, Tainan, Taiwan、2.Geosensing Systems Engineering and Sciences, University of Houston, Texas, USA、3.Division of Geodetic Science, School of Earth Sciences, Ohio State University, Ohio, USA)

キーワード:Kuroshio Current, Satellite Altimetry , Tide gauge

Kuroshio is one of the major currents in the world and plays an important role in the North Pacific climate system due to the sea water, heat and salinity transport and complex air-sea interaction, which is also strongly related to local climate stabilization and natural hazard. In recent years, the velocity of Kuroshio Current increases, attributing to the changes in wind stress over the North Pacific under global warming and affecting sea level along the eastern coast of Taiwan and northward heat transport. Therefore, monitoring of the Kuroshio is of scientific and practical importance. In the study, we focus on the use of contemporary multi-mission satellite radar altimetry and in-situ MBT/XBT/Argo to calculate the surface and subsurface (0-2000 m) geostrophic velocities and the transport of the Kuroshio east of Taiwan based on the geostrophic balance equation. In addition, we will also analyze interannual and seasonal variations of the Kuroshio transport east of Taiwan using long-term tide gauge data. The estimated current velocities are validated using in situ mooring drifters or Argo drift trajectories, and used to study the evolution of the Kuroshio east of Taiwan and the correlation with climate indices, such as the Multivariate ENSO Index (MEI) and the Pacific Decadal Oscillation (PDO) index.