Other
Scientific paper
Jun 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003georl..30l..32z&link_type=abstract
Geophysical Research Letters, Volume 30, Issue 12, pp. 32-1, CiteID 1630, DOI 10.1029/2003GL017505
Other
4
Oceanography: General: Climate And Interannual Variability (3309), Oceanography: Physical: El Nino, Oceanography: General: Ocean Prediction, Oceanography: Physical: Air/Sea Interactions (0312)
Scientific paper
The Hypothesis that low-frequency variation of ENSO predictability may be caused by stochastic processes is tested using an Intermediate Coupled Model (ICM). Three ``perfect model scenario'' prediction experiments were carried out, each of which consists of large ensemble predictions. In the first case (reference case), the model is solely forced by stochastic forcing without any explicit decadal-varying background. In the other two experiments, decadal-varying backgrounds with different amplitudes were introduced into the ICM in addition to the stochastic forcing. By comparing the low-frequency variations of ENSO predictability in these experiments, it is found that only when the amplitude of the decadal-varying background is unrealistically strong, the effect of decadal-varying background on ENSO predictability is comparable to or larger than the stochastically induced low-frequency ENSO variation. Therefore, to the extent that the simple coupled system can represent reality, it seems that one can not simply reject the null hypothesis that the decadal variation of ENSO predictability may be stochastically induced.
Chang Ping
Flügel Moritz
Zhang Lianchang
No associations
LandOfFree
Testing the stochastic mechanism for low-frequency variations in ENSO predictability does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Testing the stochastic mechanism for low-frequency variations in ENSO predictability, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Testing the stochastic mechanism for low-frequency variations in ENSO predictability will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1822337