Automatic identification of weather systems from numerical weather prediction data using genetic algorithm

Weather systems such as tropical cyclones, fronts, troughs and ridges affect our daily lives. Yet, they are often manually located and drawn on weather charts based on forecasters' experience. To identify them, multiple atmospheric elements need to be considered, and the results may vary among forecasters. In this paper, we propose an automatic weather system identification method. A generic model of weather systems is designed, along with a genetic algorithm-based framework for finding them automatically from multidimensional numerical weather prediction data. The framework allows multiple weather elements to be analyzed. It is found that our method not only can locate weather systems with 80-100% precision, but can also discover features that could indicate the genesis or dissipation of such systems that forecasters may overlook. The method provides an independent and objective source of information to assist forecasters in identifying and positioning weather systems.

[1]  Feng Zhao,et al.  Relation-based aggregation: finding objects in large spatial datasets , 2000, Intell. Data Anal..

[2]  Ramesh C. Jain,et al.  Vector field analysis for oriented patterns , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[3]  Chi Lap Yip,et al.  Automatic tropical cyclone eye fix using genetic algorithm , 2008, Expert Syst. Appl..

[4]  Ka Yan Wong,et al.  A novel algorithm for automatic tropical cyclone eye fix using Doppler radar data , 2007 .

[5]  Valliappa Lakshmanan,et al.  Using a Genetic Algorithm to Tune a Bounded Weak Echo Region Detection Algorithm , 2000 .

[6]  T. Ho,et al.  Data Complexity in Pattern Recognition , 2006 .

[7]  Ping Wah Li,et al.  IdentifyingWeather Systems from NumericalWeather Prediction Data , 2006, ICPR.

[8]  A. J. Waters,et al.  Images in Weather Forecasting a Practical Guide for Interpreting Satellite and Radar Imagery , 1995 .

[9]  Wong Ka Yan,et al.  Positioning Weather Systems from Remote Sensing Data Using Genetic Algorithms , 2008 .

[10]  Peter R. Chaston.  Weather Maps: How to Read and Interpret All the Basic Weather Charts , 1995 .

[11]  Steven S. Fine,et al.  A Simple Technique for Multiple-Parameter Pattern Recognition with an Example of Locating Fronts in Model Output , 1990 .

[12]  Ka Yan Wong,et al.  Tropical Cyclone Eye Fix Using Genetic Algorithm with Temporal Information , 2005, KES.

[13]  Ka Yan Wong,et al.  Efficient and Effective Tropical Cyclone Eye Fix Using Genetic Algorithms , 2004, KES.

[14]  Ka Yan Wong,et al.  IdentifyingWeather Systems from NumericalWeather Prediction Data , 2006, ICPR.

[15]  P. Bieringer,et al.  AN ASSESSMENT OF AUTOMATED BOUNDARY AND FRONT DETECTION TO SUPPORT CONVECTIVE INITIATION FORECASTS † , 2005 .

[16]  Wong Ka Yan,et al.  Tropical cyclone eye x using genetic algorithm , 2004 .

[17]  Chang-Tien Lu,et al.  Change Detection in Meteorological Data , 2004 .

[18]  Carl Hagelberg,et al.  Thin-line detection in meteorological radar images using wavelet transforms , 1995 .

[19]  Chung-Ho Chen,et al.  Economic design of variable sampling intervals T2 control charts using genetic algorithms , 2006, Expert Syst. Appl..

[20]  Yen-Zen Wang,et al.  A GA-based methodology to determine an optimal curriculum for schools , 2005, Expert Syst. Appl..

[21]  A. M. El-Zonkoly.  Power system model validation for power quality assessment applications using genetic algorithm , 2005, Expert Syst. Appl..

[22]  A Jann.  Use of a simple pattern recognition approach for the detection of ridge lines and stripes , 2002 .

[23]  Ka Yan Wong,et al.  Data Complexity in Tropical Cyclone Positioning and Classification , 2006 .

[24]  Patrick Pérez,et al.  Extraction of Singular Points from Dense Motion Fields: An Analytic Approach , 2003, Journal of Mathematical Imaging and Vision.

[25]  Kyung-shik Shin,et al.  A genetic algorithm application in bankruptcy prediction modeling , 2002, Expert Syst. Appl..

[26]  Peter T. May,et al.  An Algorithm for the Detection of Fronts in Wind Profiler Data , 2001 .

[27]  Wong Ka Yan,et al.  Automatic template matching method for tropical cyclone eye fix , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[28]  Wong Ka Yan,et al.  An intelligent tropical cyclone eye fix system using motion field analysis , 2005, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05).