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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 Update15 April 2009
Current ConditionsAs of mid-April 2009 SSTs are near-average across much of the equatorial Pacific. During the last couple weeks, colder than average SSTs in the eastern Pacific, indicative of weak La Niña conditions, have been replaced by warmer than average SSTs. The enhanced easterly winds that had been responsible for the cold SST anomalies earlier this year, led to a deepening of the thermocline in the western Pacific and concentration of the warmest waters in the far western Pacific. A relaxation of the easterly winds along the equator allowed warmer water held in the west to begin to move eastward. Although the equatorial Southern Oscillation Index (SOI) remains positive, the traditional SOI has become just slightly negative for the first time since mid-2008. Consistent with deepening of the western Pacific thermocline, the heat content has been slowly increasing since early 2009, and with the ocean adjustment it now appears above average across most of the equatorial Pacific, though it is still very close to average in the central and eastern Pacific.For March 2009, the SSTs in the NINO3.4 region were more than minimally classifiable as La Niña conditions (-0.55 degrees C anomaly), and for the Jan-Feb-Mar season they were -0.72 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 Apr-May-Jun and the May-Jun-Jul seasons are approximately 0.45C and 0.50, respectively. Expected ConditionsThe most recent weekly SST anomaly in the NINO3.4 region is -0.1 C, indicating ENSO-neutral conditions in the tropical Pacific. What are the probabilities for maintaining neutral conditions or returning to La Niña conditions? Persistent and large-scale easterly wind anomalies along the equator in the western-to-central Pacific have weakened in the last couple weeks. The thermocline, which contitutes the main element of the tropical Pacific system imparting ENSO predictability, is near its long-time mean depth in the central and eastern part of the Pacific. Deep anomalies in the west are edging eastward, which will make it more difficult to reinstate La Niña conditions. On the other hand, the easterly anomalies have again strengthened in the last week over the western Pacific.April is within the so-called "predictability barrier" of boreal spring. It is typically easier to predict from this point forward than it was a few months ago and going through the boreal spring. However, the perturbations to the upper ocean structure, which impact predictability to ENSO, are weak at this time. Dynamical models are often more sensitive to these small perturbations than are statistical models that consider the sub-surface ocean, which may be why the dynamical models are all producing notably warmer ENSO forecasts than their statistical counterparts. Currently, the models indicate probabilities of about 75% for
ENSO-neutral conditions, about 25% for the return of La Niña
conditions, and very little possbility of
developing El Niño conditions
for the Apr-May-Jun season in progress. Going forward the models
indicate that maintenance of ENSO-neutral conditions is the most likely
scenario, with the possibility of developing El Niño conditions
more possible than La
Niña conditions in mid-2009. 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 somewhat split in their ENSO forecasts
through the 10-month forecast period, with the statistical models
mostly predicting the cool side of ENSO-neutral and the dynamical
models predicting warm ENSO-neutral to El Niño conditions. For
the current Apr-May-Jun
season, about a quarter of the models are predicting La Niña
conditions, while almost three-quarters are predicting ENSO-neutral
conditions. In fact, throughout 2009, the models favor
ENSO-neutral
conditions. For the Apr-May-Jun 2009 season, 6 of 22 models (27%)
predict La
Niña conditions and none predicts 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, none
indicates the existence of La Niña, 4 of 15 (27%) indicate
El Niño
conditions for
the Aug-Sep-Oct season; 11 of 15 (73%) predict that SSTs will
remain 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. This method
shows probabilities favoring ENSO-neutral near 75% for Apr-May-Jun and
72% for May-Jun-Jul. ENSO-neutral is favored as being consistently most
likely throughout the forecast period. This method also shows that El
Niño is more likely than La Niña by 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 75% probability for ENSO-neutral
conditions in the Apr-May-Jun season in progress, declining to 60% by
Jul-Aug-Sep and beyond. See also: Note 1 - Only models that produce a new ENSO forecast every month are included in the above statement.
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