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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 Update17 October 2007
Current ConditionsAs of mid-October 2007 SSTs in the eastern equatorial Pacific are much below average, indicating La Niña conditions. The cold anomalies extend from the coast of South America to the dateline, with peak anomalies of -3C between 140W and 130W. Easterly wind anomalies increased dramatically during September, increasing both the spatial extent and strength of the SST anomalies and associated sub-surface temperature anomalies. The coupling exhibited between the thermocline, SSTs and easterly winds led to substantial coupled growth of the La Niña conditions during late September and early October. From early to middle October, SST anomalies within the NINO3.4 region dropped by 0.5C, from a level already indicating La Niña conditions. All these elements taken together indicate the development, and probable maintenance, of La Niña conditions in the equatorial Pacific.For September 2007, the SSTs in the NINO3.4 region were below average (-0.83 degrees C anomaly), and for the Jul-Aug-Sep season were -0.54 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, at -1.7 C, suggests relatively strong La Niña conditions. However, the NINO3.4 anomaly averaged over the past month is closer to -1.0C, which would be considered moderate. Furthermore, cold anomalies must persist in the central-eastern equatorial Pacific through the end of the year if these conditions are to be classified as an event. The issue at this point is whether persistence, or further amplification, of the La Niña conditions are likely. Factors of relevance are the enhanced easterly winds, the recent reinforcement of shallow thermocline anomalies over the central-eastern equatorial Pacific during September and early October, and the strongly negative SST anomalies observed east of the dateline.A few aspects of the tropical Pacific air-sea system may limit further growth. First, October is climatologically the month of strongest upwelling, so contributions to cold SST anomalies from mean upwelling across the anomalously shallow thermocline are not likely to increase. Second, the current Trade Winds, while still stronger than normal, are not nearly as strong as observed in September. As a result the thermocline anomalies are now adjusting via equatorial wave dynamics eastward, as well as connecting to the mixed layer. If not further reinforced, this could deplete the subsurface reserves to maintain the current La Niña conditions within a couple months. Finally, on average La Niña events tend to peak in late northern hemisphere fall, which would suggest that the current conditions may be at or near their peak magnitude. Some uncertainty thus remains concerning the duration and magnitude of the current La Niña conditions. Continuation of enhanced easterly Trade Winds will be required to increase/maintain coupled air-sea growth. The current state of the air-sea system indicates at least moderate La Niña conditions, and portends maintenance and possible additional growth in the coming months. A high probability exists that the system will retain La Niña conditions over the coming seasons. Thus, a 90% probability for La Niña conditions is suggested. Development of El Niño conditions is very unlikely,
with probabilities not exceeding 10% through Apr-May-Jun
of 2008. There is an
approximately 90% likelihood for La Niña conditions during the
Oct-Nov-Dec season, and only a 9% probability
for ENSO-neutral conditions. The probabilities for La
Niña stay over 75% throughout 2007, and then decline in 2008. 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 0.45 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. There is some variation among ENSO model forecasts through
the 10-month forecast period. Over the coming several months, the
majority of the predictions indicate weak to moderate La Niña
conditions; the rest predict ENSO-neutral conditions. Two models
predict El Niño conditions to develop, but not until mid-2008.
For
the NDJ 2007
season, 17 of 22 models (77%) predict La
Niña conditions to exist. 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, 10
of
14 (71%) indicate La Niña conditions will have continued into
the Feb-Mar-Apr season, and 4 of 14 (29%) 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 similar probabilities for La
Niña. For those
probabilities, La Niña is 85% likely from the Nov-Dec-Jan season
through the beginning of 2008, The probabilities for La Niña
then decline going into 2008. This method
shows probabilities for ENSO-neutral beginning well below the
climatologically expected 50%, and then rising up to that level by
mid-2008. 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 not their
range. 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 La
Niña
conditions to persist 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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