摘要
目前国内外进行海水温度预报主要是应用数理统计方法，平稳随机序列分析法就是其中之一。本文根据海水温度自身前后期之间的关系，采用平稳随机序列分析法，用小麦岛海洋站３６ａ（１９６０～１９９５年）逐旬表层水温观测资料，建立多元线性回归方程，从而算出未来时刻的水温预报值。
At present, the methods of mathematical statistical are usually used in forecasting sea water temperature at home and abroad The stationary random series analysis method is one of the statistical methods According to the self relation of the sea water temperature in the period from beginning to end and the observed values of the surface water temperature for every ten days during the period of 36 years from 1960 to 1995 obtained at Xiao Maidao Marine Station ,the multivariate linear regressive equations are established by using the stationary random series analysis in this study,thus making forecasts of the sea water temperature in the days to come
出处
《黄渤海海洋》
CSCD
1998年第3期10-16,共7页
Journal of Oceanography of Huanghai & Bohai Seas
关键词
平隐随机序列
表层水温
水温预报
Stationary random series Sea surface water temperature Forecasting
