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Scalable and Automated Workflow in Mining Large-Scale Severe-Storm Simulations

Identifieur interne : 000226 ( Istex/Corpus ); précédent : 000225; suivant : 000227

Scalable and Automated Workflow in Mining Large-Scale Severe-Storm Simulations

Auteurs : Lei Jiang ; Gabrielle Allen ; Qin Chen

Source :

RBID : ISTEX:879DD5B8CB109A44CEFBDAC8D5E32B34F59A7336

Abstract

Abstract: The simulation of large-scale complex systems, such as modeling the effects of hurricanes or storms in coastal environments, typically requires a large amount of computing resources in addition to data storage capacity. To make an efficient prediction of the potential storm surge height for an incoming hurricane, surrogate models, which are computationally cheap and can reach a comparable level of accuracy with simulations, are desired. In this paper, we present a scalable and automated workflow for surrogate modeling with hurricane-related simulation data.

Url:
DOI: 10.1007/978-3-642-22351-8_45

Links to Exploration step

ISTEX:879DD5B8CB109A44CEFBDAC8D5E32B34F59A7336

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