南海海浪时空变率特征研究

发布时间：2018-05-23 23:21

本文选题：南海海浪 + ENSO　；参考：《华北电力大学》2014年硕士论文

【摘要】：本文利用欧洲中尺度天气预报中心提供的高分辨率再分析数据集ERA-Interim资料中的风场和混合浪海浪场有效波高、波向数据,分析1979-2012年南海海浪场的时空变率特征,着重分析冬季(1979/80-2011/12年)的变化特征,并揭示了厄尔尼诺南方涛动(ENSO)影响南海冬季海浪的物理机制。结果表明：南海冬季有效波高的主导模态存在显著的年代际和年际变化特征,空间模态呈海盆一致模,异常中心位于吕宋海峡西侧。在年代际尺度上,有效波高从负位相转变为正位相主要受太平洋十年涛动(PDO)对东亚冬季风的调制作用影响；年代际尺度上,波高变率与前秋和同期的ENSO有很显著的负相关性。为了更好地探究南海海浪变率与ENSO的关系,我们进一步对大气环流做了相应分析,证明了ENSO通过南海冬季风和对流层底层的太平洋-东亚遥相关影响南海海浪。在EI Nino (La Nina)年,西太平洋被菲律宾海的异常反气旋(气旋)覆盖,削弱(增强)了东亚冬季风从而导致南海海浪异常偏低(偏高)。海浪数值模拟一直是海浪研究的重要方面,近年来已经发展到比较成熟的阶段。本论文最后利用第三代海浪数值模式(Wave Watch Ⅲ),以高精度QSCAT/NCEP混合风场为模式输入风场,模拟了2008年的南海海浪场。模式输出结果基本能反映南海海浪场的气候态特征。进一步分析模拟结果可知,输入风场的精度与模式模拟结果有密切的关系,风场精度的提高可以很大程度上改善模拟结果。
[Abstract]:In this paper, the data of effective wave height and wave direction of wind field and mixed wave field in the ERA-Interim data set of high resolution reanalysis data provided by the European Mesoscale Weather Forecast Center are used to analyze the temporal and spatial variability characteristics of the wave field in the South China Sea from 1979 to 2012. This paper analyzes the variation characteristics of winter ocean waves in 1979 / 80-2011 / 12, and reveals the physical mechanism of ENSO (El Nino Southern Oscillation) affecting the winter waves in the South China Sea. The results show that the dominant modes of the effective wave height in the South China Sea in winter have significant interdecadal and interannual variations. The spatial mode is a consistent model of the sea basin and the anomalous center is located on the west side of the Luzon Strait. On the Interdecadal scale, the effective wave height transition from negative to positive phase is mainly influenced by the modulation of the East Asian winter monsoon by the Pacific decade Oscillation (PDO), and on the Interdecadal scale, there is a significant negative correlation between the wave height variability and the ENSO in the previous autumn and the same period. In order to better explore the relationship between wave variability and ENSO in the South China Sea, we further analyze the atmospheric circulation and prove that ENSO influences the South China Sea waves through the Pacific Ocean teleconnection between the South China Sea winter monsoon and the troposphere bottom. In ei Nino La Nina, the western Pacific Ocean was covered by anomalous anticyclones (cyclones) in the Philippine Sea, which weakened (strengthened) the East Asian Winter Monsoon, thus causing the South China Sea waves to be abnormally low (high). Wave numerical simulation has been an important aspect of ocean wave research, and has developed to a relatively mature stage in recent years. In the end of this thesis, the third generation wave numerical model is used to simulate the South China Sea wave field in 2008 by using the high precision QSCAT/NCEP mixed wind field as the input wind field. The model output can basically reflect the climate characteristics of the South China Sea wave field. Further analysis of the simulation results shows that the precision of the input wind field is closely related to the results of the model simulation, and the improvement of the accuracy of the wind field can improve the simulation results to a great extent.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：P731.2

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