| Title | Forecasting near-surface ocean winds with Kalman filter techniques |
| Authors | Anders Malmberg, Ulla Holst, Jan Holst |
| Alternative Location | http://dx.doi.org/10.1016/j..., Restricted Access |
| Publication | OCEAN ENGINEERING |
| Year | 2005 |
| Volume | 32 |
| Issue | 3-4 |
| Pages | 273 - 291 |
| Document type | Article |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | PERGAMON-ELSEVIER SCIENCE LTD |
| Abstract English | In this paper a statistical forecasting model designed for bounded areas of near-surface ocean wind speeds is implemented. Dimension reduction is achieved by decomposing the covariance structure into one large-scale and one small-scale component using empirical orthogonal functions. The large-scale component is modelled with an AR process and forecasts are calculated by applying a Kalman filter. The model is suited for stable weather situations as for unsteady situations it requires more frequent wind information. From the prediction variance fields it is possible to identify where unexpected weather usually enters the area. |
| Keywords | near-surface, ocean winds, forecasting, filtering, space-time Kalman, dimension reduction, principal components, |
| ISBN/ISSN/Other | ISSN: 0029-8018 |
Questions: webmaster
Last update: 2013-04-11
Centre for Mathematical Sciences, Box 118, SE-22100, Lund. Telefon: +46 46-222 00 00 (vx)