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??????С??????ARMA????????????????
引用本文:孙文,王庆宾.??????С??????ARMA????????????????[J].大地测量与地球动力学,2012,32(5):91-94.
作者姓名:孙文  王庆宾
作者单位:解放军信息工程大学地理空间信息学院,郑州,450052
基金项目:国家自然科学基金(41104047,41174026)
摘    要:??????С??????????????????е?????????????????????????????в????????ARMA????????????????????????????????????1???????????0.29 cm???????????????0.63 cm????????????????????????????Ч???ж???SLA?????

关 键 词:??С????  ARMA  ??????  ???????  ???????  

SEA LEVEL ANOMALY FORECASTING BASED ON COMBINED MODEL OF LEAST SQUARE AND ARMA
Sun Wen and Wang Qingbin.SEA LEVEL ANOMALY FORECASTING BASED ON COMBINED MODEL OF LEAST SQUARE AND ARMA[J].Journal of Geodesy and Geodynamics,2012,32(5):91-94.
Authors:Sun Wen and Wang Qingbin
Institution:Sun Wen and Wang Qingbin(Institute of Geospatial Information,Information Engineering University,Zhengzhou 450052)
Abstract:A method based on the least square (LS) model combined with the ARMA model is used to predict the sea level anomaly (SLA), where the periodic terms and linear trends are fitted using LS while the stochastic terms are predicted with ARMA model. A test was carried out in the North Pacific Ocean by using satellite altimetry data and the results show that the accuracy for 1 year and 2 years’ prediction are 0.29 cm and 0.63 cm, respectively. It indicates that this combined model can be used for the short term SLA prediction in sub-centimeter accuracy.
Keywords:LS  ARMA  combined model  sea level anomaly  forecasting accuracy
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