Forecasting warm-season burnoff of low clouds at the San Francisco International Airport using linear regression and a neural network

Journal of Applied Meteorology

Volumn 41, Issue 6, 2002, Pages 629-639

  Dean, Andrew R ^a   Fiedler, Brian H ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLOUDS; NEURAL NETWORKS; PROBABILITY; REGRESSION ANALYSIS;

BURNOFF;

WEATHER FORECASTING;

ARTIFICIAL NEURAL NETWORK; EVAPORATION; FOG; STRATIFORM CLOUD; WEATHER FORECASTING;

EID: 0036601759     PISSN: 08948763     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0450(2002)041<0629:FWSBOL>2.0.CO;2     Document Type: Article

References (11)

1. Forecasting with neural networks: An application using bankruptcy data
2. Precipitation forecasting using a neural network
3. An observation-based statistical system for warm-season hourly probabilistic forecasts of low ceiling at the San Francisco International Airport
4. Applying neural network models to prediction and data analysis in meteorology and oceanography
5. The NCEP/NCAR 40-Year re-analysis project
6. Experiments in short-term precipitation forecasting using artificial neural networks
7. Fog on the U.S. West Coast: A review
8. A neural network for tornado prediction based on Doppler radar-derived attributes