A MARKOV CHAIN MODEL FOR THE PROBABILITIES OF WET AND DRY SPELLS (CASE STUDY FOR LOCATION KARACHI)

Markov Chain model was used to evaluate probabilities of getting a sequence of wet and dry days, which is essential for many practical applications such as to design and predict the yields of different crops. One of the challenging problems for agricultural  experts  is  the random  nature  of rainfall. The  intensity of the rainfall is greatly influenced by the local climatical  condition. This model is  used to predict the long term weather condition using the previous data 1987-2006 for location Karachi.