A Service Oriented Architecture for Weather Forecasting Using Data Mining

Weather forecasting is a crucial application in meteorology. Weather is a continuous, data-intensive, multidimensional, dynamic process that makes weather forecasting a formidable challenge. This paper proposes a novel method to develop service oriented architecture for a weather information system and forecast weather using data mining techniques. Web services provide a way of using software as a service. Developing service oriented architecture enables this software to be used anywhere at anytime and on any device. Data mining is an interesting field of computer science that can be used for various applications.