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Argo观测剖面数据量的时间变化与周期分析
引用本文:张胜茂,伍玉梅,杨胜龙.Argo观测剖面数据量的时间变化与周期分析[J].海洋通报(英文版),2012,14(1):16-27.
作者姓名:张胜茂  伍玉梅  杨胜龙
作者单位:中国水产科学研究院东海水产研究所渔业资源遥感信息技术重点开放实验室。上海200090
摘    要:海洋渔业预报使用的遥感数据一般只能获得海洋表面的环境信息,而Argo数据可以为渔业预报提供较深处的温盐数据,为了在渔业预报中按其时间周期进行使用,需要计算它的周期以提高预报质量。通过功率谱估计计算出2001-2008年的数据存在的较长的周期为62.7天和117.5天,较短的周期为4.9天和9.8天,同时还有一个约为7天的不明显周期,观测剖面数据总量在年际与年内都存在较大变化。

关 键 词:Argm周期  功率谱估计  傅里叶变换

Analysis on the time variation and cycle of observed Argo profile data
ZHANG Sheng-mao,WU Yu-mei,YANG Sheng-long.Analysis on the time variation and cycle of observed Argo profile data[J].Marina Science Bulletin,2012,14(1):16-27.
Authors:ZHANG Sheng-mao  WU Yu-mei  YANG Sheng-long
Institution:Key Laboratory of Fisheries Resources Remote Sensing and Information Technology, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China
Abstract:The remote sensing data which are used by marine fishery forecast only can get the information of ocean surface, while Argo data can provide fishery forecast with temperature and saltinity data of deeper area. To use Argo data in cycle, we need to compute its circle to improve the quality of forecast. In 2001- 2008, the longer circle was 62.7 days and 117.5 days, and the shorter circle was 4.9 days and 9.8 days, which were obtained by power spectrum estimation. And there was an unobvious circle of 7 days. There existed big changes in observed profile data amount between years and within a year.
Keywords:Argo  cycle  Power Spectrum Estimate  Fourier transform
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