Assessing the impact of the covariance localization radius when assimilating infrared brightness temperature observations using an ensemble kalman filter

Monthly Weather Review

Volumn 140, Issue 2, 2012, Pages 543-561

  Otkin, Jason A ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Data assimilation; Satellite observations

Indexed keywords

ASSIMILATION SYSTEM; ATMOSPHERIC ANALYSIS; BRIGHTNESS TEMPERATURES; CLOUD ANALYSIS; CLOUD FIELDS; CROSS SECTION; DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; FORECAST ACCURACY; INFRARED BRIGHTNESS TEMPERATURE; INFRARED OBSERVATIONS; OBSERVING SYSTEM SIMULATION EXPERIMENTS; SATELLITE OBSERVATIONS; SHORT RANGE ENSEMBLE FORECASTS; SHORT-RANGE MODEL; THERMODYNAMIC FIELDS; WATER VAPOR MIXING RATIO; WIND ERRORS;

ATMOSPHERIC HUMIDITY; COMPUTER SIMULATION; KALMAN FILTERS; TEMPERATURE; THERMODYNAMICS;

FORECASTING;

ASSESSMENT METHOD; BRIGHTNESS TEMPERATURE; COVARIANCE ANALYSIS; DATA ASSIMILATION; ENSEMBLE FORECASTING; KALMAN FILTER; MIXING RATIO; SATELLITE DATA; THERMODYNAMICS;

UNITED STATES;

EID: 84857088911     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/MWR-D-11-00084.1     Document Type: Article

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