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There are increasingly demanding for huge computing capabilities and complex processes managing technologies along with the development of large-scale parallel scientific computing applications. Taking ensemble prediction in climate domain for example, we discuss BPEL-based workflow for complex scientific computing management. The contributions of this paper are double-folds: on the framework side,...
Ensemble prediction is a great method for severe weather forecasting and a new direction for operational forecast. With the requirement and the demand of ensemble prediction, this paper presents a scientific- workflow-based solution for the forecasting process in grid environment. As a result, it can overcome the drawbacks brought by controlling manually and can automate the whole process. Moreover,...
Meteorology grid computing aims to provide scientist with seamless, reliable, secure and inexpensive access to meteorological resources. However, the vision of achieving these goals has been encountered with many challenges such as the degree of easy-to-use and the capability of seamless automation. Fortunately, the emerging semantic Web service and semantic grid technologies bring some significant...
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