Weather forecasts provide critical information about future weather. Weather forecasting is mainly concerned with the prediction of weather condition in the given future time.
The results of the approach suggested that the method used for weather condition prediction is quite efficient with an average accuracy of 92.2%. The monthwise results are being computed for three years to check the accuracy. The prediction is made based on sliding window algorithm. The window best matched is made to participate in the process of predicting weather conditions.
Every week of sliding window is then matched with that of current year’s week in consideration. So, for the fortnight considered for previous year a sliding window is selected of size equivalent to a week. But the probability that it will match within the span of adjacent fortnight of previous year is very high.
The probability that the weather condition of the day in consideration will match the same day in previous year is very less. To predict the future’s weather condition, the variation in the conditions in past years must be utilized.
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