INTRODUCTION: DUE TO THE LACK OF WAVE MEASURED DATA, PREDICTED WAVE DATA ARE USED TO DETERMINE WAVE CLIMATE IN MANY REGIONS. NOWADAYS SPECTRAL WIND WAVE MODEL ARE THE MOST PRACTICAL TOOL FOR WAVE PREDICTION. SINCE THE OUTPUTS OF THESE MODELS GENERALLY CONTAIN SOME ERRORS, THEIR RESULTS SHOULD MODIFY BASED ON THE MEASURED DATA. IN THIS STUDY, A NEW APPROACH BASED ON THE ERROR PREDICTION OF SIMULATED WAVE DATA AT THE OBSERVING STATIONS AND DISTRIBUTING THE ERRORS IN THE COMPUTATIONAL DOMAIN WAS IMPLEMENTED FOR UPDATING OF THE MODEL OUTPUTS. TO DO SO, WAVE SIMULATION WAS CARRIED OUT OVER THE PERSIAN GULF AND THE RESULTS WERE COMPARED WITH THE MEASURED DATA. THE RESULTS ARE PRESENTED IN THE NEXT SECTION. IT SHOULD BE NOTED THAT THIS PAPER CONTAINS THE RESULTS OF A DEFINED STUDY AT THE TRANSPORTATION RESEARCH INSTITUTE NAMELY "DEVELOPING A HYBRID MODEL FOR WIND-WAVE PREDICTION IN THE PERSIAN GULF".