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Distributed atmospheric data are often stored and managed in diverse regional and global repositories. The scientific process requires composition of these resources to solve a specific atmospheric science problem. A challenge is how to harvest data and models for designing and executing experiments in a seamless manner. Moreover, data intensive scientific experiments with large-scale scientific data...
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