THE HIDDEN MARKOV MODEL IS USED, TO DESCRIBE THE TIME SERIES OF EXTREME WIND. IN THIS MODEL SOME EXTREME VALUES DISTRIBUTIONS ARE TESTED TO EXPRESS THE FLUCTUATIONS OF EXTREME WIND'S SPEED AND ALTERATION AMONG DIFFERENT MODELS ARE EVALUATED USING A HIDDEN MARKOV SWITCHING MODEL, CALLED EXTREME VALUE HIDDEN MARKOV MODEL. THE MODEL IS PERFORMED FOR THE ONSET OF REAL DATA OF EXTREME MONTHLY WIND OF MID-WEST OF IRAN AND THE FITNESS IS COMPARED WITH THE WELL-KNOWN GENERALIZED EXTREME VALUE DISTRIBUTION. THE RESULTS CONFIRM BETTER FIT FOR THE PROPOSED MODEL. FINALLY USING THE VITERBI ALGORITHM, HIDDEN STATES WHICH ARE THE MONTHS WITH HIGH AND LOW EXTREME WINDS ARE DETERMINED. PRESENTED MODEL IS MORE FLEXIBLE TO DESCRIBE VARIATION OF THE EXTREME WIND, AND USING THIS MODEL THE TIME PERIOD OF HIGH AND LOW INTENSITY COULD BE DETERMINED CORRECTLY.