Exploring the externally forced sea-level signal and natural variability in the Pacific Ocean during the altimeter-era
编号:170 访问权限:仅限参会人 更新:2024-10-10 10:04:20 浏览:186次 张贴报告

报告开始:2025年01月16日 19:20(Asia/Shanghai)

报告时间:15min

所在会场:[S23] Session 23-Sea Level Rise: Understanding, Observing, and Modelling [S23-P] Sea Level Rise: Understanding, Observing, and Modelling

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摘要
It remains unclear whether the regional sea-level trends observed during the altimeter-era (since 1993) are primarily driven by natural variability or external forcing. Utilizing altimeter measurements, this study develops an Empirical Orthogonal Function re-projection method to separate the externally forced signal from natural variability in the Pacific Ocean. By removing major natural variability, a more robust estimate of the forced sea-level trend is revealed, diverging notably from observed linear trends during the altimeter era. Present-day sea-level trends remain predominantly governed by natural variability, with trends reversing over decades in the tropical Pacific, and do not reflect persistent patterns driven by external forcing. Analysis from Ocean Reanalysis System 5 suggests that when using a 50-year timescale, more than half of the Pacific Ocean is expected to experience forced sea-level rise emergence. These findings underscore the importance of distinguishing the aliasing effect of low-frequency sea-level variability for accurate assessments of the forced sea-level rise emergence in the Pacific Ocean.
关键词
external forcing, natural variability, altimeter-era
报告人
Ruhui Huang
PhD Xiamen University

稿件作者
ruhui huang Xiamen University
Xuebin Zhang CSIRO Environment
John Church University of New South Wales
Jianyu HU Xiamen University
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重要日期
  • 会议日期

    01月13日

    2025

    01月17日

    2025

  • 09月27日 2024

    初稿截稿日期

  • 01月17日 2025

    注册截止日期

主办单位
State Key Laboratory of Marine Environmental Science, Xiamen University
承办单位
State Key Laboratory of Marine Environmental Science, Xiamen University
Department of Earth Sciences, National Natural Science Foundation of China
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