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East Asia and Western Pacific METEOROLOGY AND CLIMATE

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225<br />

factor for the rapid collapse of predictability in the control experiment.<br />

In the<br />

anomaly experiment (where we had included a time mean state, a low frequency mode<br />

<strong>and</strong> the SST anomalies on the time scale of 30-50 days), the kinetic energy exchange<br />

was consistent with the observational results. This experiment was extended to 270<br />

days. The energetics in the frequency domain were calculated for the 270 days of<br />

data <strong>and</strong> also from day 31 to day 270. As stated earlier, the predictability of the low<br />

frequency modes was good to about 30 days in this experiment. For the entire 270<br />

day period, the kinetic energy exchange from the high to the low frequencies was<br />

positive, but greater than that for the period from day 31 to day 270. This implies that<br />

the contributions from the first 30 days, for which the predictability was large, was<br />

consistent with the observational estimates. As the errors grow, the contribution of<br />

the energy exchange slowly reversed signs <strong>and</strong> the low frequency modes were<br />

contaminated.<br />

In conclusion, the present approach simply delays the rate of contamination<br />

of low frequency modes, thus extending their predictability to almost one month.<br />

Eventually, higher frequency motions do form <strong>and</strong> the rate of contamination increases<br />

rapidly.<br />

Further work is needed to assess the relative importance of the details of the<br />

time mean, the definition of the low frequency mode <strong>and</strong> the details of the SST<br />

anomalies in the increase of predictability of low frequency modes. Further<br />

experimentation is needed to predict the irregular behavior of low frequency modes,<br />

as was noted from the observations from some recent years. If such experimentation<br />

is successful in predicting the irregular behavior, then there is a need to diagnose the<br />

importance of the aforementioned input parameters.<br />

This approach may hold much promise for predicting the dry <strong>and</strong> wet spells<br />

that are related to the passage of low frequency modes on the intraseasonal time<br />

scales.<br />

Detailed results of this paper will appear in the Journal of Meteorology <strong>and</strong><br />

Atmospheric Physics (1990) under the same title.

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