A real-time assimilation algorithm applied to near-surface ocean wind fields

Anders Malmberg, Jan Holst, Ulla Holst

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

2 Citeringar (SciVal)

Sammanfattning

Abstract in Undetermined
Marine operations depend on the ability to forecast suddenly appearing storms, and failures often cause great damage. As part of a sea-state alarm study, meteorological forecasts overlaid with satellite observations sent to ships have been found to be a useful too]. 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 wind fields. A Kalman filter based on a spatio-temporal state-space model provides a basis for emulation of the atmospheric model. The main contribution of this paper is the algorithm that makes it possible to use the information in the satellite observations over the full spatial domain of interest at a real-time basis.
Originalspråkengelska
Sidor (från-till)319-330
TidskriftEnvironmetrics
Volym19
Utgåva3
DOI
StatusPublished - 2008

Bibliografisk information

publicerad online 6 nov.2007

Ämnesklassifikation (UKÄ)

  • Sannolikhetsteori och statistik

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