SEA LEVEL ANOMALY FORECASTING BASED ON COMBINED
MODEL OF LEAST SQUARE AND ARMA
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.
Key words ：
LS
ARMA
combined model
sea level anomaly
forecasting accuracy
Received: 01 January 1900
Corresponding Authors:
Sun Wen
Cite this article:
Sun Wen,and Wang Qingbin. SEA LEVEL ANOMALY FORECASTING BASED ON COMBINED
MODEL OF LEAST SQUARE AND ARMA[J]. , 2012, 32(5): 91-94.
Sun Wen,and Wang Qingbin. SEA LEVEL ANOMALY FORECASTING BASED ON COMBINED
MODEL OF LEAST SQUARE AND ARMA[J]. jgg, 2012, 32(5): 91-94.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2012/V32/I5/91
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