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总结和分析多种海平面异常的预报方法,并利用卫星测高数据得到的海平面异常序列,对各种方法的实际预报效果进行比较分析。结果表明,利用人工神经网络方法进行海平面异常的预报效果优于其他几种方法。
This paper summarizes and analyzes a variety of methods for forecasting anomalous sea level anomalies, and makes use of the sea level anomaly sequences obtained from satellite altimetry data to compare and analyze the actual forecasting results of various methods. The results show that using artificial neural network method to forecast sea level anomalies is superior to other methods.