Adjoint sensitivity of the model forecast to data assimilation system error covariance parameters

Quarterly Journal of the Royal Meteorological Society

Volumn 136, Issue 653, 2010, Pages 2000-2012

  Daescu, Dacian N ^a   Todling, Ricardo ^b  

^a PORTLAND STATE UNIVERSITY   (United States)

^b NASA HEADQUARTERS   (United States)

Author keywords

Covariance tuning; Forecast impact; Parameter estimation; State analysis

Indexed keywords

ADJOINTS; ALL-AT-ONCE; BACKGROUND-ERROR COVARIANCES; COVARIANCE TUNING; DATA ASSIMILATION; DATA ASSIMILATION SYSTEMS; DIAGNOSTIC TOOLS; ERROR COVARIANCES; FIRST-ORDER; FORECAST IMPACT; FORECAST MODEL; FORECAST SENSITIVITY; GLOBAL MODELING; GODDARD EARTH OBSERVING SYSTEMS; GRADIENT BASED; IMPACT ASSESSMENTS; NUMERICAL WEATHER PREDICTION; PERTURBATION ANALYSIS; SENSITIVITY PROPERTIES; SOFTWARE TOOL; STATE ANALYSIS; TUNING ALGORITHM; VARIABLE MODEL; WEIGHTING COEFFICIENT;

DATA PROCESSING; NASA; WEATHER FORECASTING;

PARAMETER ESTIMATION;

ADJOINT METHOD; ALGORITHM; CLIMATE PREDICTION; COVARIANCE ANALYSIS; DATA ASSIMILATION; ERROR ANALYSIS; ESTIMATION METHOD; NUMERICAL MODEL; PARAMETERIZATION; SENSITIVITY ANALYSIS; WEATHER FORECASTING;

EID: 78650072758     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.693     Document Type: Article

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