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ENSO Quick
Look IRI ENSO Update / Forecast IRI Probabilistic ENSO Forecast Technical ENSO Update ENSO Prediction Plume Monthly archive Technical ENSO Update20 November 2008
Current ConditionsAs of mid-October 2008 SSTs in the central equatorial Pacific are near their long-term average, being very slightly below-average across the central Pacific. In the eastern Pacific, the SSTs had been above-average over the past several months, but they did not draw the cooperation of the atmosphere to evolve towards El Niño conditions. These warm anomalies have largely subsided, with temperatures returning to average conditions and just a few localized areas of above-average SST. The equatorial Southern Oscillation index (SOI) has remained positive, but has been weakening since July. The traditional Tahiti-Darwin SOI increased over the last month, which may be related to intraseasonal variability and associated high pressure center moving over the region of Tahiti, rather than an indication of La Nina development. Taken together, the current anomalous ocean-atmosphere conditions indicate continuation of ENSO-neutral conditions.For September 2008, the SSTs in the NINO3.4 region were weakly below average (-0.16 degrees C anomaly). For the Jul-Aug-Sep season they were 0.03 degrees C from average. Currently the IRI's definition of El Niño conditions rests on an index of SST anomalies, averaged over the NINO3.4 region (5S-5N; 170W-120W), exceeding the warmest 25%-ile of the historical distribution, and similarly for La Niña relative to the 25%-ile coldest conditions in the historical distribution. The magnitude of NINO3.4 anomaly necessary to qualify as La Niña or El Niño conditions for the Oct-Nov-Dec and Nov-Dec-Jan seasons are approximately 0.75C. Expected ConditionsThe most recent weekly SST anomaly in the NINO3.4 region is -0.3 C, indicating continuing neutral conditions in the tropical Pacific. How long will conditions remain neutral, and what are the probabilities for developing an El Niño or a La Niña in the coming months? Currently there is little to no slowly evolving structure of the upper tropical Pacific Ocean, which is the main element of the tropical Pacific system imparting ENSO predictability. Low-level wind anomalies, mainly easterly anomalies, have come and gone over the last several months due to a combination of intraseasonal weather fluctuations and the anomalous zonal temperature gradients between the central and western Pacific. However, they have not produced a large enough or persistent enough effect on the subsurface ocean structure that could translate into large-scale SST anomalies in the eastern and central equatorial Pacific. A succession of downwelling and upwelling Kelvin waves are propagating across the equatorial Pacific, which will likely have little impact on the surface. The tropical Pacific ocean-atmosphere system appears to be largely open to the influence of atmospheric weather disturbances at this time, the timing of which is difficult to predict months in advance. If intraseasonal wind anomalies were to happen to constructively interfer with a propagating Kelvin wave, it may be possible to trigger an either warm or cool ENSO event that is not currently foreseen.Most of the ocean-atmosphere indicators suggest that ENSO-neutral conditions are likely to continue not only during the Oct-Nov-Dec season in progress, but through the remainder of 2008 and early 2009. Currently, the models see very little possbility of developing
either El Niño
or La Niña conditions, although the model probabilities for La
Niña are slightly higher. The tiny sub-set of the
models that do see the possibility of developing La Niña
conditions are primarily the dynamical models, rather than the
statistical
models. All things considered,
during the Sep-Oct-Nov-Dec season there is a 90% probability for
ENSO-neutral
conditions. The above assessment was made in part on the basis of an examination of the current forecasts of ENSO prediction models as well as the observed conditions. For purposes of this discussion, El Niño SST conditions are defined as SSTs in the NINO3.4 region being in the warmest 25% of their climatological distribution for the 3-month period in question over the 1950-present timeframe. The corresponding cutoff in terms of degrees C of SST anomaly varies seasonally, being close to 0.40 degrees C in northern late-spring/early-summer season and as high as 0.75 degrees C in late northern autumn. La Niña conditions are defined as NINO3.4 region SSTs being in the coolest 25% of the climatological distribution. Neutral conditions occupy the remaining 50% of the distribution. These definitions were developed such that the most commonly accepted El Niño and La Niña episodes are reproduced. The models are
showing fair agreement in their ENSO forecasts
through the 10-month forecast period. For the current Oct-Nov-Dec
season, the
majority of the predictions indicate ENSO-neutral conditions. The
majority of models remain ENSO-neutral through mid-2009, while a
couple models develop either weak El Niño
or La Niña conditions.
For the NDJ 2008/09 season, only 1 of 21 models (5%) predict La
Niña conditions to develop, and none predict El Niño
development. At lead times of more than 4
months into the future, statistical and dynamical models that
incorporate information about the ocean's observed sub-surface thermal
structure generally exhibit higher predictive skill than those that do
not. Among models that do use sub-surface temperature information, only
2 of 14 (14%)
indicates the existence of La Niña and similarly 2 of 14 (14%)
for El Niño
conditions for
the Feb-Mar-Apr season; 10 of 14 (72%) predict that SSTs will
be ENSO-neutral (Note
1). Caution is
advised in interpreting the distribution of model forecasts as the
actual probabilities. At longer leads, the skill of the models
degrades, and skill uncertainty must be convolved with the
uncertainties from initial conditions and differing model physics,
leading to more climatological probabilities in the long-lead ENSO
Outlook than might be suggested by the suite of models.
Furthermore, the expected skill
of one model versus another has not been established using uniform
validation procedures, which may cause a difference in the true
probability distribution from that taken verbatim from the raw
model predictions. An alternative way to assess the probabilities of the three
possible ENSO conditions is to use the mean of the forecasts of all
models, and to construct a standard error function centered on that
mean. The standard error would be Gaussian in shape, and would have its
width determined by an estimate of overall expected model skill for the
season of the year and the lead time. Higher skill would result in a
relatively narrower error distribution, while low skill would result in
an error distribution with width approaching that of the historical
observed distribution. When this method is applied to the current model
forecasts, results indicate slightly higher probabilities for La
Niña conditions than for El
Niño conditions for the next several
seasons,
although probabilities for either one are low. For example, for DJF
seasons, probabilities are about 1% for El Niño and about 10%
for La Niña. This method
shows probabilities for ENSO-neutral consistently being the most likely
possibility at over 90% probability through the end of the year, and
still the most likely outcome through mid-2009. The same cautions
mentioned above for
the
distribution of model forecasts apply to this alternative method of
inferring
probabilities, due to differing model biases and skills. In particular,
this approach considers only the mean of the predictions, and not the
range across the models, nor the ensemble range within individual
models. The IRI's
probabilistic ENSO forecast takes into account the indications of
this set of models, the outcome of the standard error approach
described above, and additional factors such as the very latest
observations that may have developed after the initialization times of
some of the models. It indicates a 90% probability for ENSO-neutral
conditions in the coming season. See also: Note 1 - Only models that produce a new ENSO forecast every month are included in the above statement.
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