A study of long-term sea level variability in the East China Sea
A study of long-term sea level variability in the East China Sea
复制标题
东海海平面长期变化研究
DOI:
10.1007/s13131-015-0754-0
复制
发表时间:
2015-11
影响因子:
1.4
通讯作者:
ZHU Benlu
中科院分区:
文献类型:
--
作者:
XU Ying;LIN Mingsen;ZHENG Quanan;YE Xiaomin;LI Junyi;ZHU Benlu
From the analyses of the satellite altimeter Maps of Sea Level Anomaly (MSLA) data, tidal gauge sea level data and historical sea level data, this paper investigates the long-term sea level variability in the East China Sea (ECS). Based on the correlation analysis, we calculate the correlation coefficient between tidal gauge and the closest MSLA grid point, then generate the map of correlation coefficient of the entire ECS. The results show that the satellite altimeter MSLA data is effective to observe coastal sea level variability. An important finding is that from map of correlation coefficient we can identify the Kuroshio. The existence of Kuroshio decreases the correlation between coastal and the Pacific sea level. Kurishio likes a barrier or a wall, which blocks the effect of the Pacific and the global change. Moreover, coastal sea level in the ECS is mainly associated with local systems rather than global change. In order to calculate the long-term sea level variability trend, the empirical mode decomposition (EMD) method is applied to derive the trend on each MSLA grid point in the entire ECS. According to the 2-D distribution of the trend and rising rate, the sea level on the right side of the axis of Kuroshio rise faster than in its left side. This result supports the barrier effect of Kuroshio in the ECS. For the entire ECS, the average sea level rose 45.0 mm between 1993 and 2010, with a rising rate of (2.5±0.4) mm/a which is slower than global average. The relatively slower sea level rising rate further proves that sea level rise in the ECS has less response to global change due to its own local system effect.
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影响因子:
3.6
作者:
Carton, JA;Giese, BS;Grodsky, SA
通讯作者:
Grodsky, SA
影响因子:
1.6
作者:
J. Zuo;Yiqiu Yang;Jianli Zhang;Meixiang Chen;Qing Xu
通讯作者:
J. Zuo;Yiqiu Yang;Jianli Zhang;Meixiang Chen;Qing Xu
影响因子:
2.8
作者:
S. Mangiarotti
通讯作者:
S. Mangiarotti
影响因子:
18.3
作者:
Syvitski, James P. M.;Kettner, Albert J.;Nicholls, Robert J.
通讯作者:
Nicholls, Robert J.
DOI:
10.2112/jcoastres-11a-00024.1
发表时间:
2012-03
期刊:
--
影响因子:
--
作者:
F. Baart;M. van Koningsveld;M. Stive
通讯作者:
F. Baart;M. van Koningsveld;M. Stive