An ensemble-based forecasting system for the North and Baltic Seas using the BSH circulation model and PDAF
ORCID: https://orcid.org/0000-0002-1908-1010, Loza, Svetlana ORCID: https://orcid.org/0000-0003-2153-1954, Schröter, Jens ORCID: https://orcid.org/0000-0002-9240-5798, Maßmann, Silvia and Janssen, Frank
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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.
ORCID: https://orcid.org/0000-0002-1908-1010, Loza, Svetlana ORCID: https://orcid.org/0000-0003-2153-1954, Schröter, Jens ORCID: https://orcid.org/0000-0002-9240-5798, Maßmann, Silvia and Janssen, Frank
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AWI Organizations > Infrastructure > Scientific Computing
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