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Cooperating services for data-driven computational experimentation

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6 Author(s)

The Linked Environments for Atmospheric Discovery (LEAD) project seeks to provide on-demand weather forecasting. A triad of cooperating services provides the core functionality needed to execute experiments and manage the data. In this article, we focus on three MyLEAD services - the metadata catalog service, notification service, and workflow service - that together form the core services for managing complex experimental meteorological investigations and managing the data products used in and generated during the computational experimentation. We show how the services work together on the user's behalf, easing the technological burden on the scientists and freeing them to focus on more of the science that compels them.

Published in:

Computing in Science & Engineering  (Volume:7 ,  Issue: 5 )