Assimilating NOAA SST data into BSH operational circulation model for the North and Baltic Seas: Part 2. Sensitivity of the forecast's skill to the prior model error statistics

Journal of Marine Systems

Volumn 129, Issue , 2014, Pages 259-270

  Losa, Svetlana N ^a   Danilov, Sergey ^a   Schröter, Jens ^a   Janjić, Tijana ^c   Nerger, Lars ^a   Janssen, Frank ^b  

^a ALFRED WEGENER INSTITUTE FOR POLAR AND MARINE RESEARCH   (Germany)

^b FEDERAL MARITIME AND HYDROGRAPHIC AGENCY   (Germany)

^c DEUTSCHER WETTERDIENST   (Germany)

Author keywords

Ensemble Kalman filtering; Entropy; Initial model error statistics; North and Baltic Seas; Operational forecasting; SST data assimilation

Indexed keywords

BALTIC SEA; DATA ASSIMILATION; ENSEMBLE KALMAN FILTERING; MODEL ERROR STATISTICS; OPERATIONAL FORECASTING;

DATA PROCESSING; ENTROPY; ERROR STATISTICS; FORECASTING; SEA ICE;

OCEANOGRAPHY;

ALGORITHM; AVHRR; CIRCULATION MODELING; DATA ASSIMILATION; ENTROPY; ERROR ANALYSIS; FORECASTING METHOD; KALMAN FILTER; NOAA SATELLITE; NUMERICAL MODEL; SATELLITE IMAGERY; SEA SURFACE TEMPERATURE;

ATLANTIC OCEAN; BALTIC SEA;

EID: 84888435509     PISSN: 09247963     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmarsys.2013.06.011     Document Type: Article

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