Articles | Volume 32, issue 11
https://doi.org/10.5194/angeo-32-1415-2014
https://doi.org/10.5194/angeo-32-1415-2014
Regular paper
 | 
19 Nov 2014
Regular paper |  | 19 Nov 2014

Deterministic prediction of surface wind speed variations

G. V. Drisya, D. C. Kiplangat, K. Asokan, and K. Satheesh Kumar
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Short summary
We demonstrate that deterministic forecasting methods can make accurate short-term predictions of wind speed using past data. The predictions are remarkably accurate up to 1 hour and reasonably accurate up to 3 hours. Comparison of the results with f-ARIMA model predictions shows that the deterministic models with suitable parameters are capable of returning improved prediction accuracy and capturing the dynamical variations of the actual time series more faithfully.