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

Viewed

Total article views: 1,905 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
993 827 85 1,905 80 88
  • HTML: 993
  • PDF: 827
  • XML: 85
  • Total: 1,905
  • BibTeX: 80
  • EndNote: 88
Views and downloads (calculated since 19 Nov 2014)
Cumulative views and downloads (calculated since 19 Nov 2014)

Cited

Latest update: 07 Mar 2025
Download
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.
Share