Strengths and weaknesses of MOS, running-mean bias removal, and Kalman filter techniques for improving model forecasts over the western United States

Weather and Forecasting

Volumn 22, Issue 6, 2007, Pages 1304-1318

  Cheng, William Y Y ^a,b   Steenburgh, W James ^a  

^a UNIVERSITY OF UTAH   (United States)

^b Department of Chemical and Biological Engineering and School of Biomedical Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TEMPERATURE; ERRORS; KALMAN FILTERS; MATHEMATICAL MODELS; METEOROLOGY; STATISTICS; WIND;

DEWPOINT; NUMERICAL WEATHER PREDICTION;

WEATHER FORECASTING;

ACCURACY ASSESSMENT; BOUNDARY CONDITION; CLIMATE MODELING; COMPUTER SIMULATION; DEW POINT; KALMAN FILTER; MESOSCALE METEOROLOGY; NUMERICAL METHOD; PREDICTION; TEMPERATURE PROFILE; WEATHER FORECASTING; WIND VELOCITY;

NORTH AMERICA; UNITED STATES;

EID: 38849209866     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/2007WAF2006084.1     Document Type: Article

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