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| Titel |
A Novel Approach Utilizing pnetCDF applying to the WRF-CMAQ two-way coupled model |
| VerfasserIn |
David Wong, Cheng-en Yang, Rohit Mathur, Jonathan Pleim, Joshua Fu, Kwai Wong, Yang Gao |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250099852
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| Publikation (Nr.) |
 EGU/EGU2014-15686.pdf |
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| Zusammenfassung |
| I/O is part of a scientific model and it takes up a significant portion of the simulation. There is no exception for the newly developed WRF-CMAQ two-way coupled model at US EPA. This two-way coupled meteorology and air quality model is composed of the Weather Research and Forecasting (WRF) model and the Community Multiscale Air Quality (CMAQ) model. We are using this two-way model to evaluate how accurate it simulates the effects of aerosol loading on radiative forcing between 1990 and 2010 when there were
substantial aerosol emissions such as SO2 and NOx, reduction in North America and Europe.
The I/O scheme in the current model does not make use of any parallel file system or parallel I/O approach. In addition the I/O takes about 15% - 28% of the entire simulation. Our novel approach not only utilizes pnetCDF parallel I/O technique but goes one step further to aggregate the
data locally, i.e. along column dimension or row dimension in the spatial domain. This approach not only reduces the I/O traffic contention but also aggregated data enhances the I/O efficiency. In terms of I/O time, we have shown this method is about 6 to 10 times faster than the current existing
I/O scheme in the model and about 20% - 3 times faster than strict application of pnetCDF.
We are currently running the model on a Cray XE6 machine and finding ways to reduce the overall simulation time is crucial to the success to achieve our objective. |
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