| Title | A real-time assimilation algorithm applied to near-surface ocean winds |
| Authors | Anders Malmberg, Jan Holst, Ulla Holst |
| Year | 2004 |
| Issue | 2004:34 |
| Document type | Preprint |
| Status | Published |
| Language | eng |
| Abstract English | Marine operations depend on the ability to forecast suddenly appearing storms and failures often cause great damage. As a part of a sea state alarm study, meteorological forecasts overlaid with satellite measurements sent to ships have been found to be a useful tool. In this paper we present a real-time assimilation algorithm that extends this tool using statistical methods. The algorithm is applied to near-surface ocean zonal wind speeds. <br> The meteorological model is emulated using a Kalman filter technique. Together with a spatio-temporal state-space model the filter allows us to obtain forecasts which are overlaid with satellite measurements using a kriging method. Examples of overlays together with their statistical uncertainties are presented and discussed. |
| ISBN/ISSN/Other | ISSN: 1403-9338 |
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