As the mobile phone has become more mature, the continuous development of both hardware and software has become increasingly popular. Nowadays the need to develop mobile application that can run over multi-platform is an essential problem because we have to conquer the difficulties of the variety of mobile platform such as building a different application for each platform is very expensive if written in each native language. Because of the availability of web browser in all mobile devices, it is suggested as an environment to run all web application. This research will examine the limitation and resources of mobile web applications for each individual platform then presenting a model that can be run in different platform for developing phase HTML and CSS3 combined with java script languages will be used, the application will be located on remote server that can be accessed using mobile device throughout the internet, to evaluate the application two test will be done to check the functionality and the availability.The mobile technology has developed very fast during the current Volume 8 • Issue 2 • 1000225 J Inform Tech Softw Eng, an open access journal • Threading -Web workers. The most resource-consuming operations are offloaded into a background process, keeping the user interface responsive. Research MethodologyPhase VI: evaluation of application This phase will be performed in order to ensure that the web Volume 8 • Issue 2 • 1000225 J Inform Tech Softw Eng, an open access journal

Extreme rainfall is one of the disastrous events that occurred due to massive rainfall overcometime beyond the regularrainfall rate. The catastrophic effects of extreme rainfall on human, environment, and economy are enormous as most of the events are unpredictable. Modelling the extreme rainfall patterns is a challenge since the extreme rainfall patterns are infrequent.In this study, a model based on descriptive indices to forecast extreme rainfall is proposed. The indices that are calculated every monthare used to develop a Back Propagation Neural Network model in forecasting extreme rainfall. Experiments were conducted using different combinations of indices and results were compared with actual data based on mean absolute error. The results showed that the combination of six indices achieved the best performance,and this proved that indices couldbe used for forecasting extreme rainfall values.