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| Titel |
Influence of parallel computational uncertainty on simulations of the Coupled General Climate Model |
| VerfasserIn |
Z. Song, F. Qiao, X. Lei, C. Wang |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 5, no. 2 ; Nr. 5, no. 2 (2012-03-13), S.313-319 |
| Datensatznummer |
250002444
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| Publikation (Nr.) |
 copernicus.org/gmd-5-313-2012.pdf |
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| Zusammenfassung |
| This paper investigates the impact of the parallel computational uncertainty
due to the round-off error on climate simulations using the Community
Climate System Model Version 3 (CCSM3). A series of sensitivity experiments
have been conducted and the analyses are focused on the Global and Nino3.4
average sea surface temperatures (SST). For the monthly time series, it is
shown that the amplitude of the deviation induced by the parallel
computational uncertainty is the same order as that of the climate system
change. However, the ensemble mean method can reduce the influence and the
ensemble member number of 15 is enough to ignore the uncertainty. For
climatology, the influence can be ignored when the climatological mean is
calculated by using more than 30-yr simulations. It is also found that the
parallel computational uncertainty has no distinguishable effect on power
spectrum analysis of climate variability such as ENSO. Finally, it is
suggested that the influence of the parallel computational uncertainty on
Coupled General Climate Models (CGCMs) can be a quality standard or a metric
for developing CGCMs. |
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