Climate Computing: The State of Play

Climate models represent a large variety of processes on different time and space scalesâa canonical example of multiphysics, multiscale modeling. In addition, the system is physically characterized by sensitive dependence on initial conditions and natural stochastic variability, with very long inte...

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Bibliographic Details
Published inComputing in science & engineering Vol. 17; no. 6; pp. 9 - 13
Main Author Balaji, V.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Atmospheric modeling
big data
Biological system modeling
Climate
Climate change
Climate models
climate science
Computation
Computational modeling
Data models
Earth
Earth system science
Hardware
high-performance computing
HPC
Initial conditions
Mathematical models
Meteorology
Programming
scientific computing
Uncertainty
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Summary:Climate models represent a large variety of processes on different time and space scalesâa canonical example of multiphysics, multiscale modeling. In addition, the system is physically characterized by sensitive dependence on initial conditions and natural stochastic variability, with very long integrations needed to extract signals of climate change. Weak scaling, I/O, and memory-bound multiphysics codes present particular challenges to computational performance. The author presents trends in climate science that are driving models toward higher resolution, greater complexity, and larger ensembles, all of which present computing challenges. He also discusses the prospects for adapting these models to novel hardware and programming models.
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ISSN:1521-9615
1558-366X
DOI:10.1109/MCSE.2015.109