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。 Remote sensing data used in marine fisheries forecasts generally only provide environmental information on the surface of the oceans. However, Argo data can provide deep-sea temperature and salinity data for fishery forecasts. For forecasting, fishery forecasts need to be calculated according to their time periods To improve the quality of forecasting. According to the power spectrum estimation, the longer periods of data from 2001 to 2008 are found to be 62.7 days and 117.5 days, the shorter periods are 4.9 days and 9.8 days, and there is an insignificant period of about 7 days. Observations The total amount of profile data in the interannual and year there are major changes.