Estimating background-error variances with the ECMWF Ensemble of Data Assimilations system: Some effects of ensemble size and day-to-day variability

Quarterly Journal of the Royal Meteorological Society

Volumn 137, Issue 655, 2011, Pages 423-434

  Bonavita, Massimo ^a   Raynaud, Laure ^b   Isaksen, Lars ^a  

^a EUROPEAN CENTRE FOR MEDIUM RANGE WEATHER FORECASTS   (United Kingdom)

^b CENTRE NATIONAL DE RECHERCHES MÉTÉOROLOGIQUES   (France)

Author keywords

Ensemble effective resolution; Ensemble of data assimilations; Sampling noise

Indexed keywords

BACKGROUND ERRORS; CYCLOGENESIS; DATA ASSIMILATION; DAY-TO-DAY VARIABILITY; DIFFERENT SIZES; EDA APPROACH; ENSEMBLE DATA ASSIMILATION; ENSEMBLE EFFECTIVE RESOLUTION; ENSEMBLE MEMBERS; ENSEMBLE OF DATA ASSIMILATIONS; ENSEMBLE STATISTICS; ERROR STRUCTURES; ERROR VARIANCE; EXTRATROPICAL; FILTER-BASED; IMPROVED FORECAST; OBJECTIVE FILTERING; SAMPLING NOISE; SEVERE STORMS; SKILL SCORE; SPATIAL FILTERINGS; SPATIAL SCALE; STOCHASTIC NATURE; VARIATIONAL DATA ASSIMILATION SYSTEM; WAVE NUMBERS;

CLIMATOLOGY; DATA FLOW ANALYSIS; DATA PROCESSING; ESTIMATION; HURRICANES; SAMPLING; STORMS;

ERROR STATISTICS;

CLIMATE PREDICTION; CYCLOGENESIS; DATA ASSIMILATION; ENSEMBLE FORECASTING; ESTIMATION METHOD; HURRICANE; STOCHASTICITY; WEATHER FORECASTING;

ATLANTIC OCEAN; ATLANTIC OCEAN (TROPICAL); FRANCE;

EID: 79952503788     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.756     Document Type: Article

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