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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/107800


    Title: Global sea level trend during 1993-2012
    Authors: 黃鍔;Chen, Xianyao;Feng, Ying;Huang, Norden E.
    Contributors: 認知智慧與精準健康照護研究中心
    Keywords: decelerated rising;Earth, ocean, space;Empirical Mode Decomposition;Exact sciences and technology;External geophysics;intrinsic trend;La Nina;melting;oceans;Physics of the oceans;sea level;sea level rise;Surface waves, tides and sea level. Seiches;thermal expansion;uncertainty
    Date: 2014-01-01
    Issue Date: 2026-04-23 14:26:20 (UTC+8)
    Publisher: Elsevier;Amsterdam: Elsevier B.V
    Abstract: 摘要: Projection of future sea level change relies on the understanding of present sea-level trend and how it has varied in the past. Here we investigate the global-mean sea level (GMSL) change during 1993–2012 using Empirical Mode Decomposition, in an attempt to distinguish the trend over this period from the interannual variability. It is found that the GMSL rises with the rate of 3.2±0.4mm/yr during 1993–2003 and started decelerating since 2004 to a rate of 1.8±0.9mm/yr in 2012. This deceleration is mainly due to the slowdown of ocean thermal expansion in the Pacific during the last decade, as a part of the Pacific decadal-scale variability, while the land-ice melting is accelerating the rise of the global ocean mass-equivalent sea level. Recent rapid recovery of the rising GMSL from its dramatic drop during the 2011 La Niña introduced a large uncertainty in the estimation of the sea level trend, but the decelerated rise of the GMSL appears to be intact. •GMSL started decelerated rising since 2004 with rising rate 1.8±0.9mm/yr in 2012.•Deceleration is due to slowdown of ocean thermal expansion during last decade.•Recent ENSO events introduce large uncertainty of long-term trend estimation.
    出版者: Amsterdam: Elsevier B.V
    出版日期: 2014-01
    出處: Global and planetary change, 2014-01, Vol.112, p.26-32
    資源來源: Elsevier ScienceDirect Journals Complete
    版權: 2013 Elsevier B.V.
    版權: 2015 INIST-CNRS
    識別號: ISSN: 0921-8181
    識別號: EISSN: 1872-6364
    識別號: DOI: 10.1016/j.gloplacha.2013.11.001
    Appears in Collections:[Cognitive Intelligence & Precision Healthcar] journal & Dissertation

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