The spatiotemporal variation of the wind-induced near-inertial energy flux in the mixed layer of the

来源 :Acta Oceanologica Sinica | 被引量 : 0次 | 上传用户:zhangyanfangzhang
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
On the basis of the QSCAT/NCEP blended wind data and simple ocean data assimilation(SODA), the wind-induced near-inertial energy flux(NIEF) in the mixed layer of the South China Sea(SCS) is estimated by a slab model, and the model results are verified by observational data near the Xisha Islands in the SCS. Then, the spatial and temporal variations of the NIEF in the SCS are analyzed. It is found that, the monthly mean NIEF exhibits obvious spatial and temporal variabilities, i.e., it is large west of Luzon Island all the year, east of the Indo-China Peninsula all the year except in spring, and in the northern SCS from May to September. The large monthly mean NIEF in the first two zones may be affected by the large local wind stress curl whilst that in the last zone is probably due to the shallow mixed layer depth. Moreover, the monthly mean NIEF is relatively large in summer and autumn due to the passage of typhoons. The spatial mean NIEF in the mixed layer of the SCS is estimated to be about 1.25 m W/m2 and the total wind energy input from wind is approximately 4.4 GW. Furthermore, the interannual variability of the spatial monthly mean NIEF and the Ni?o3.4 index are negatively correlated. On the basis of the QSCAT / NCEP blended wind data and simple ocean data assimilation (SODA), the wind-induced near-inertial energy flux (NIEF) in the mixed layer of the South China Sea (SCS) is estimated by a slab model , and the model results are verified by observational data near the Xisha Islands in the SCS. Then, the spatial and temporal variations of the NIEF in the SCS are analyzed. It is found that, the monthly mean NIEF exhibits obvious spatial and temporal variabilities, ie, it is large west of Luzon Island all the year, east of the Indo-China Peninsula all the year except in spring, and in the northern SCS from May to September. The large monthly mean NIEF in the first two zones may be affected by the large local wind stress curl whilst that in the last zone is probably due to the shallow mixed layer depth. Moreover, the monthly mean NIEF is in summer and autumn due to the passage of typhoons. The spatial mean NIEF in the mixed layer of the SCS is estimated to be about 1.25 mW / m2 and the total wind energy input from wind is approximately 4.4 GW. Furthermore, the interannual variability of the spatial monthly mean NIEF and the Ni? o3.4 index are negatively correlated.
其他文献
21世纪是科技高速发展、充满各种竞争的世纪。激烈的市场竞争及客户的多样化需求对企业生产经营提出了更高的要求。物流作为“第三利润源泉”对提高企业的市场竞争力有至关重
上海市房地产经过十几年的发展,已成为国民经济的支柱产业。然而,在房地产业飞速发展的同时,非均衡现象也越来越严重,供求总量非均衡问题尤为突出,主要表现在:无效供给过剩和有效供
不久前见到报载一篇杂文:《王安石、韩愈应得多少稿酬?》其中写道:“要求报刊多刊登短小精悍文章的呼声,已经听得不少了,惜乎作者的回响并不强烈,水泡馒头式的长篇依然还占
一篇报道某飞行团政委做思想工作的稿子发出去一个多月了,既没刊登,也未退稿,引起了我们科里同志的一阵议论:有的说,这篇稿十有八九被扔到字纸篓里去了;有的说,这篇稿是经过
互联网与信息技术的发展导致网站信息资源出现爆炸式增长,为了更好的管理和利用网站信息资源,网站信息架构优化得到广泛关注。元数据是网站信息资源组织的重要工具,它是用来
自1998年城镇居民住房制度改革以来,我国的房地产业得到了快速的发展,特别是最近几年,发展趋势尤为明显,房地产投资额逐年增加,房地产价格持续上涨。随着房地产业的快速发展,
企业为了实现管理水平的提高与管理的创新,对信息技术的需求不断增强。信息系统无论是作为高效的管理系统,还是作为规范先进的管理思想的工具,都为企业信息化建设提供了更好的选
再制造是指通过必要的拆卸、检修和零部件更换等,将废旧产品恢复得如同新的一样的过程,适用于汽车、计算机、打印机、复印机、手机、电视机、空调器、洗衣机、轮胎、印刷电路
互联网,尤其是搜索引擎,已成为我们快速精确搜集信息(很多是产品或服务信息)的重要工具。而关键字广告则是搜索引擎的重要经济基础之一,它顺应电子商务发展的要求,给搜索引擎提供
本文主要研究在物业服务企业中,如何实现人力资源管理的决策支持功能。随着物业服务这个朝阳行业的不断发展,物业服务企业所包含的内容越来越丰富,企业的规模和员工数量不断扩张,各种数据也日益庞杂。企业对决策支持系统的需要更加迫切,如何运用现有的资料和数据对企业所存在的问题进行分析,进而辅助管理人员进行决策,是现代物业服务行业亟待解决的一件事情。本文旨在设计一个物业服务企业人力资源决策支持系统,结合人力资源