Abstract: Weather forecasting is an important application in meteorology and has been one of the most scientifically and technologically challenging problems around the world. In this paper, we investigate the use of data mining techniques in forecasting maximum temperature, rainfall, evaporation and wind speed. Weather prediction approaches are challenged by complex weather phenomena with limited observations and past data. Weather phenomena have many parameters that are impossible to enumerate and measure. Increasing development on communication systems enabled weather forecast expert systems to integrate and share resources and thus hybrid system has emerged. Even though these improvements on weather forecast, these expert systems can’t be fully reliable since weather forecast is main problem.

Keywords: Weather Prediction, Data Mining, Weather Conditions, Decision Trees