EPISODE BASED GRAPHS, TIME SERIES GRAPHS; SIGNAL PLUS NOISE BASED LINEAR MODELS FOR WIND VELOCITY OF
INDIAN WEATHER STATIONS.

Prashanth Gururaja, Prof. Dr. Donald Roy McNeil
Prince of Songkla University, Thailand

Abstract:
 

Extreme weather events such as strong winds, high temperatures, and heavy rainfall can cause major devastation. Evaluation of wind performance is still in its initial stages. An informative graphical display of improvised hourly wind velocity measurement helps in understanding how this costly event can be modeled and predicted. Uninterrupted wind for 6 hours is called Episodes.

Wind episodes are defined as periods of uninterrupted wind separated by occasions of zero wind speed. Graphs provide useful supplements to standard frequency-based displays providing an appropriate basis for data enhancement, fitting statistical models that can be used for measuring and forecasting. We illustrate these concepts using sample data from Indian weather stations.

 
Corresponding Author :

Prashanth Gururaja

Prince of Songkla University, Thailand
 
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