Assessing the performance of an ensemble forecast system in predicting the magnitude and the spectrum of analysis and forecast uncertainties

Monthly Weather Review

Volumn 139, Issue 4, 2011, Pages 1207-1223

  Satterfield, Elizabeth ^a   Szunyogh, Istvan ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Ensembles; Forecasting techniques; Kalman filters; Spectral analysis

Indexed keywords

ANALYSIS TIME; DATA ASSIMILATION SYSTEMS; ENSEMBLE FORECAST SYSTEMS; ENSEMBLE PERTURBATION; ENSEMBLES; FORECAST UNCERTAINTY; FORECASTING TECHNIQUES; GLOBAL FORECAST SYSTEMS; GRID POINTS; HORIZONTAL MODELS; LINEAR RELATIONSHIPS; LOCAL LINEAR; MODEL COMPONENTS; NATIONAL CENTERS FOR ENVIRONMENTAL PREDICTIONS; NEAR-OPTIMAL PERFORMANCE; NUMERICAL EXPERIMENTS; OBSERVING SYSTEMS; REDUCED RESOLUTION; RELATIVE IMPORTANCE; SPECTRAL ANALYSIS; UPPER BOUND; VERTICAL SOUNDING;

COMPUTER SIMULATION; DATA PROCESSING; EXPERIMENTS; KALMAN FILTERS; METADATA; SPECTRUM ANALYSIS; WEATHER FORECASTING;

UNCERTAINTY ANALYSIS;

DATA ASSIMILATION; ENSEMBLE FORECASTING; KALMAN FILTER; SPECTRAL ANALYSIS; UNCERTAINTY ANALYSIS; WEATHER FORECASTING;

EID: 79955151865     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010MWR3439.1     Document Type: Article

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