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Titel Validating an Ensemble based Forecasting System of the North and Baltic Seas
VerfasserIn Svetlana Losa, Sergey Danilov, Lars Nerger, Jens Schröter, Silvia Massmann, Frank Janssen
Konferenz EGU General Assembly 2013
Medientyp Artikel
Sprache Englisch
Digitales Dokument PDF
Erschienen In: GRA - Volume 15 (2013)
Datensatznummer 250082986
 
Zusammenfassung
Quality of the forecast provided by the German Maritime and Hydrographic Agency (BSH) for the North and Baltic Seas had been previously improved by assimilating satellite sea surface temperature (SST). We investigate possible further improvements using in situ observational temperature and salinity data: Marnet time series and CTD and Scan Fish measurements. To assimilate the data, the SEIK filter is implemented. The Principle of Maximum Entropy is used as an additional criterion of plausibility of the assumptions made on error statistics and of the system performance on its own.