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Distributed architecture is a fundamental way for science and engineering data application by aggregate power of computing resources connected by networks of the grid. This paper describes a innovative scenarios for intensive rainfall data analysis. The Flood Early Warning System is performed to give an alert in advance about the occurrence of heavy rainfalls around the world. The aim of the project is to evaluate the critical flood events and understand the potentially floodable areas where their assistance is needed. The World Food Programme and other humanitarian assistance organizations needs to understand the potential alert in order to organize the logistic helps. This system is based on precipitation analysis and it uses rainfall data from satellite at worldwide extent. The analysis and alert are delivered in near real-time to monitor the current rainfall condition over the world. Considering the global coverage area and the great deal of data to process, this paper presents a infrastructure solution based on grid computing technology. Our focus is on the advantages of using a distributed architecture in terms of performances in this specific context.