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Managing Software Complexity and Variability in Coupled Climate Models

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4 Author(s)
Spencer Rugaber ; Georgia Institute of Technology ; Rocky Dunlap ; leo mark ; Sameer Ansari

Coupled climate models exhibit scientific, numerical, and architectural variability. This variability introduces requirements that give rise to complexity. However, techniques exist that can tame this complexity; one such technique is feature analysis. As climate model fidelity and complexity increase, the climate-modeling community should adopt a systematic way to deal with software variability.

Published in:

IEEE Software  (Volume:28 ,  Issue: 6 )