An Ensemble Technique based on Singular Spectrum Analysis applied to Daily Rainfall Forecasting
نویسندگان
چکیده
In previous work, we have proposed a constructive methodology for temporal data learning supported by results and prescriptions related to the Embedding Theorem, and using the Singular Spectrum Analysis both in order to reduce the effects of the possible discontinuity of the signal and to implement an efficient ensemble method. In this paper we present new results concerning the application of this approach to the forecasting of the individual rainfall intensities series collected by 135 stations distributed in the Tiber basin. The average RMS of the obtained predictions is less than 3 mm of rain.
منابع مشابه
Daily Rainfall Forecasting using an Ensemble Technique based on Singular Spectrum Analysis
In previous work, we have proposed a constructive methodology for temporal data learning supported by results and prescriptions related to the Takens-Mañé theorem and using the Singular Spectrum Analysis in order to reduce the effects of the possible discontinuity of the signal. In this paper we present some new results concerning the application of this approach to the forecasting of the indiv...
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