A truncated Gaussian filter for data assimilation with inequality constraints: Application to the hydrostatic stability condition in ocean models

Ocean Modelling

Volumn 27, Issue 1-2, 2009, Pages 1-17

  Lauvernet, Claire ^a   Brankart, Jean Michel ^a   Castruccio, Frédéric ^a   Broquet, Grégoire ^a   Brasseur, Pierre ^a   Verron, Jacques ^a  

^a LEGI   (France)

Author keywords

Data assimilation; Hybrid coordinate ocean models; Inequality constraints; Reduced order Kalman filter

Indexed keywords

CONTROL THEORY; ESTIMATION; HYDRAULICS; HYDRODYNAMICS; IMAGE SEGMENTATION; KALMAN FILTERS; OBJECT RECOGNITION; PROBABILITY DENSITY FUNCTION; SYSTEM STABILITY; THREE DIMENSIONAL; TRELLIS CODES;

BAY OF BISCAY; COORDINATE MODELS; DATA ASSIMILATION; ESTIMATION PROCESS; GAUSSIAN; GAUSSIAN ASSUMPTIONS; GAUSSIAN FILTERS; HYBRID COORDINATE OCEAN MODELS; INEQUALITY CONSTRAINTS; LINEAR ESTIMATIONS; MIXED LAYERS; OBSERVATION SYSTEMS; OCEAN MODELS; ONE-DIMENSIONAL; OPTIMAL FILTERS; REDUCED-ORDER KALMAN FILTER; STABILITY CONDITIONS; STATE VARIABLES; STATISTICAL TOOLS;

PROBABILITY DISTRIBUTIONS;

DATA ASSIMILATION; GAUSSIAN METHOD; KALMAN FILTER; MODELING; OCEANOGRAPHY; PROBABILITY; STATISTICAL DISTRIBUTION;

ATLANTIC OCEAN; BAY OF BISCAY;

EID: 59249093765     PISSN: 14635003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ocemod.2008.10.007     Document Type: Article

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