Data Mining for Fog Prediction and Low Clouds Detection

his paper describes our contribution to the research of parametrized models and methods for detection and prediction of significant meteorological phenomena, especially fog and low cloud cover. The project covered methods for integration of distributed meteorological data necessary for running the prediction models, training models and then mining the data in order to be able to efficiently and quickly predict even sparsely occurring phenomena. The detection and prediction methods are based on knowledge discovery -- data mining of meteorological data using neural networks and decision trees. The mined data were mainly METAR aerodrome messages, meteorological data from specialized stations and cloud data from special airport sensors -- laser ceilometers.

[1]  Frada Burstein,et al.  Discovering Knowledge from Meteorological Databases: A Meteorological Aviation Forecast Study , 2001, DaWaK.

[2]  Kevin B. Korb,et al.  Dealing with uncertainty in fog forecasting for major airports in Australia , 2007 .

[3]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[4]  Marek Ciglan,et al.  Hydro-meteorological Scenarios Using Advanced Data Mining and Integration , 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.

[5]  Ismail Gultepe,et al.  A New Visibility Parameterization for Warm-Fog Applications in Numerical Weather Prediction Models , 2006 .

[6]  Y. Radhika,et al.  Atmospheric Temperature Prediction using Support Vector Machines , 2009 .

[7]  Zahoor Jan,et al.  Seasonal to Inter-annual Climate Prediction Using Data Mining KNN Technique , 2008, IMTIC.

[8]  Richard de Dear,et al.  Application of Artificial Neural Network Forecasts to Predict Fog at Canberra International Airport , 2007 .

[9]  Jukka Saarinen,et al.  Time Series Prediction with Multilayer Perception, FIR and Elman Neural Networks , 1996 .

[10]  Gaetano Zazzaro,et al.  Data Mining to Classify Fog Events by Applying Cost-Sensitive Classifier , 2010, CISIS.

[11]  Wolfgang Pree,et al.  Optimization of the combinatorial neural model , 1998, Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No.98EX209).

[12]  Thomas Trautmann,et al.  PAFOG—a new efficient forecast model of radiation fog and low-level stratiform clouds , 2002 .

[13]  Ladislav Hluchý,et al.  Data mining and integration for environmental scenarios , 2010, SoICT '10.

[14]  Nelson F.F. Ebecken.  Fog Formation Prediction In Coastal RegionsUsing Data Mining Techniques , 1970 .

[15]  Frank Rehm.  Prediction of Aircraft Delays as a Function of Weather , 2004 .

[16]  Gerardo G. Acosta,et al.  A firmware digital neural network for climate prediction applications , 2001, Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206).