The construction of Linked Environments for Atmospheric Discovery (LEAD) system, which addresses the challenges needed to create a framework for predicting the atmosphere, is discussed. LEAD's complex array of services, applications, interfaces, and local and remote computing, networking, and storage resources are assembled by users in workflows to study mesoscale weather as it evolves. LEAD lets users query for and acquire information, simulate and predict weather by using numerical atmospheric models, assimilate data and analyze data and model output. A reliability-monitoring toolkit complements the performance-monitoring infrastructure. It helps LEAD use reliability data to make scheduling decisions, anticipate likely failures, and take action.
ASJC Scopus subject areas
- Computer Science(all)