An ensemble-based forecasting system for the North and Baltic Seas using the BSH circulation model and PDAF


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Lars.Nerger [ at ] awi.de

Abstract

The operational circulation model BSHcmod of the German Maritime and Hydrographic Agency (BSH) has been extended for ensemble-based forecasting including data assimilation in the North and Baltic Seas. The extension is obtained by coupling BSHcmod with the Parallel Data Assimilation Framework (PDAF, http://pdaf.awi.de). Observations are assimilated using an ensemble-based Kalman filter. The forecast performance is improved by assimilating satellite sea surface temperature. Further improvements from the assimilation of in situ temperature and salinity data from MARNET stations and CTD measurements are investigated. We provide an overview of the assimilation system and discuss the forecast improvements achieved with data assimilation.



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Conference (Talk)
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Not peer-reviewed
Publication Status
Published
Event Details
MyOcean Science Days, Geesthacht, Germany, 19 Nov 2012 - 21 Nov 2012.
Eprint ID
31551
Cite as
Nerger, L. , Loza, S. , Schröter, J. , Maßmann, S. and Janssen, F. (2012): An ensemble-based forecasting system for the North and Baltic Seas using the BSH circulation model and PDAF , MyOcean Science Days, Geesthacht, Germany, 19 November 2012 - 21 November 2012 .


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