hdl:10013/epic.36769
      
      
      
      Towards Operational Data Assimilation in the North and Baltic Seas with the Parallel Data Assimilation Framework
          
  
	Nerger, Lars  ORCID: https://orcid.org/0000-0002-1908-1010, Loza, Svetlana
ORCID: https://orcid.org/0000-0002-1908-1010, Loza, Svetlana  ORCID: https://orcid.org/0000-0003-2153-1954, Schröter, Jens
ORCID: https://orcid.org/0000-0003-2153-1954, Schröter, Jens  ORCID: https://orcid.org/0000-0002-9240-5798, Hiller, Wolfgang and Janssen, F.		
		
			;
ORCID: https://orcid.org/0000-0002-9240-5798, Hiller, Wolfgang and Janssen, F.		
		
			;
			
        
      
       ORCID: https://orcid.org/0000-0002-1908-1010, Loza, Svetlana
ORCID: https://orcid.org/0000-0002-1908-1010, Loza, Svetlana  ORCID: https://orcid.org/0000-0003-2153-1954, Schröter, Jens
ORCID: https://orcid.org/0000-0003-2153-1954, Schröter, Jens  ORCID: https://orcid.org/0000-0002-9240-5798, Hiller, Wolfgang and Janssen, F.		
		
			;
ORCID: https://orcid.org/0000-0002-9240-5798, Hiller, Wolfgang and Janssen, F.		
		
			;
			
        
              Contact
            
            
              Lars.Nerger [ at ] awi.de
            
          
        
        Abstract
      
      Within the GMES-related project DeMarine Environment, the operational circulation model of the German Maritime and Hydrographic Agency (BSH) is extended into a data assimilation system. The aim of the data assimilation is to improve the forecast of sea surface height, temperatura, currents and salinity in the North and Baltic Seas. For the data assimilation component, the Parallel Data Assimilation Framework (PDAF, http://pdaf.awi.de) is coupled to the operational circulation model. PDAF provides the assimilation environment as well as fully implemented and optimized filter algorithms. We discuss technical aspects of the data assimilation system used with the BSH operational circulation model.
          Item Type
        
        
          Conference
           (Poster)
          
          
        
      
      
        
          Authors
        
        
          
  
	Nerger, Lars  ORCID: https://orcid.org/0000-0002-1908-1010, Loza, Svetlana
ORCID: https://orcid.org/0000-0002-1908-1010, Loza, Svetlana  ORCID: https://orcid.org/0000-0003-2153-1954, Schröter, Jens
ORCID: https://orcid.org/0000-0003-2153-1954, Schröter, Jens  ORCID: https://orcid.org/0000-0002-9240-5798, Hiller, Wolfgang and Janssen, F.		
		
			;
ORCID: https://orcid.org/0000-0002-9240-5798, Hiller, Wolfgang and Janssen, F.		
		
			;
			
        
      
      
         ORCID: https://orcid.org/0000-0002-1908-1010, Loza, Svetlana
ORCID: https://orcid.org/0000-0002-1908-1010, Loza, Svetlana  ORCID: https://orcid.org/0000-0003-2153-1954, Schröter, Jens
ORCID: https://orcid.org/0000-0003-2153-1954, Schröter, Jens  ORCID: https://orcid.org/0000-0002-9240-5798, Hiller, Wolfgang and Janssen, F.		
		
			;
ORCID: https://orcid.org/0000-0002-9240-5798, Hiller, Wolfgang and Janssen, F.		
		
			;
			
        
          Divisions
        
        
          AWI Organizations > Climate Sciences > Climate Dynamics
AWI Organizations > Infrastructure > Scientific Computing
      
      
      
        AWI Organizations > Infrastructure > Scientific Computing
          Programs
        
        
      
      
      
      
      
      
      
        
          Publication Status
        
        
          Published
        
      
      
        
          Event Details
        
        MyOcean Science Days, Toulouse, France, December 1-2.
      
      
        
          Eprint ID
        
        
          23495
        
      
    
        Cite as
      
      
        
 
	   
		
Nerger, L. 			
		,		
Loza, S. 			
		,		
Schröter, J. 			
		,		
Hiller, W. 			
		
				
					and
				
					
Janssen, F. 			
		
				
					
		
	
	
  
	(2010):	
	Towards Operational Data Assimilation in the North and Baltic Seas with the Parallel Data Assimilation Framework
		
	,	
 
			
		MyOcean Science Days, Toulouse, France, December 1-2	
		
		
		.
	  
	
      
      
      
        
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