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18 October 2012
Recent and Current Conditions
After a period of neutral ENSO conditions between May and late June 2012, SST anomalies in the east-central
tropical Pacific became sufficiently positive to be at a borderline El Niño level by early July. SST anomalies were
initially largest in the eastern portion of the NINO3.4 region, and weaker toward the dateline. By late July, the
anomalies in the far east weakened while those in the east-central basin increased, and such conditions
continued through the first half of September. During late September and into the first half of October, the SST
anomaly in the NINO3.4 region weakened to become only the warm half of ENSO-neutral. For September the SST anomaly in
the NINO3.4 region was 0.51 C, indicative of borderline or weak El Niño conditions. For July-September the anomaly was
0.59 C. Since late 2011, the IRI's definition of El Niño conditions began following that of
NOAA/Climate Prediction Center, in which the SST anomaly in the NINO3.4 region (5S-5N; 170W-120W) exceeds 0.45 C.
Similarly, for La Niña, the anomaly must be -0.45 C or less. The climatological probabilities for La
Niña, neutral, and El Niño conditions vary seasonally, and are shown in a table at the bottom of
this page for each 3-month season. The most recent weekly SST anomaly in the NINO3.4 region was only 0.1 C, indicating
neutral ENSO conditions in the tropical Pacific; this is somewhat less warm than the 0.51 C level observed in August.
Expected Conditions
What is the outlook for the ENSO status going forward? The official diagnosis and outlook was issued earlier this
month in
the NOAA/Climate Prediction Center ENSO Diagnostic Discussion, produced
jointly by CPC and IRI; it carried an El Niño watch, and gave a probability of approximately 50 to 55%
for El Niño conditions continuing into northern winter 2012-13.
The latest set of model ENSO predictions, from mid-October, is now available in
the IRI/CPC ENSO prediction plume, discussed
below. The current east-central tropical
Pacific SSTs are only in the warm portion of the ENSO-neutral range (anomaly of 0 to 0.5C) and subsurface temperatures across the
equatorial Pacific remain above average in the upper part of the ocean from west and near the date line, but only modestly so.
Even with this positive heat content anomaly, the thermocline depth along the equator is only slightly above average in some portions
of the tropical Pacific.
In the atmosphere, the basin-wide sea level pressure pattern (e.g. the SOI) has been variable and not consistent with
a typical El Niño pattern. Low-level zonal winds and anomalous
convection have been only partially suggestive of an incipient El Niño state. Lately the pattern of outgoing longwave
radiation (OLR) has exhibited enhanced convection to the west of the dateline, near the middle of the NINO4 region. This
location is west of that more typical of El Niño conditions, but could expand eastward to become more in conformity
in the coming weeks. The OLR pattern also includes lower than normal convection over parts of Indonesia. Thus, although
these atmospheric patterns are not clearly consistent with El Niño, there is still opportunity for them to become
more so. The SST anomaly in the NINO4 region is now highest among the four major NINO regions, at +0.4C.
As of mid-October, just less than half of the set of dynamical and statistical models models predicts El Niño SST conditions (mainly weak) for the Oct-Dec
season, and some of these show a continuation of El Niño through into the very beginning of 2013. The
statistical models generally predict a slightly lower SST than the dynamical models, and many of them show only warm-neutral
condtions through the remainder of 2012. For the Oct-Dec season, 56% of models indicate neutral ENSO conditions, while 44% indicate El
Niño conditions. For Dec-Feb, 64% indicate neutral conditions and 36% predict El Niño conditions. At lead times
of 3 or more months into the future, statistical and dynamical models that incorporate information about the
ocean's observed subsurface thermal structure generally exhibit higher predictive skill than those that do not.
For the Jan-Mar season, among models that do use subsurface temperature information, 60% predict ENSO-neutral
SSTs, and 40% predict El Niño conditions. For all models, the probability for El Niño conditions
maximizes for the Oct-Dec season, with 44% predicting El Niño conditions. This probability declines to
32% by Jan-Mar 2013 and to 25% for Mar-May
(Note 1).
Caution is advised in interpreting the distribution of model predictions 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 more quantitatively
precise and less vulnerable to sampling errors than the categorical tallying method used above. This alternative
method uses the mean of the predictions of all models on the plume, equally weighted, and constructs a standard
error function centered on that mean. The standard error is Gaussian in shape, and has its width determined by an
estimate of overall expected model skill for the season of the year and the lead time. Higher skill results in a
relatively narrower error distribution, while low skill results in an error distribution with width approaching
that of the historical observed distribution. This method shows probabilities for El Niño at 56% for Oct-Dec,
56% for Nov-Jan, and 48% for Dec-Feb 2012-13, dropping to 33%
by Feb-Apr 2013.
Model probabilities for ENSO-neutral conditions are 44% for
Oct-Dec, 44% for Nov-Jan, 52% for Dec-Feb 2012-13, rising to 60% for Jan-Mar 2013 and remaining at 60%
or more until Apr-Jun 2013. Probabilities for La
Niña are near zero through Jan-Mar 2013, rising to 18% by May-Jul 2013.
In words, the models collectively favor, although only very slightly, El Niño conditions through the
Nov-Jan 2012-13 season.
A plot of the probabilities
generated from this most recent IRI/CPC ENSO prediction plume using the multi-model mean and the Gaussian standard error
method summarizes the model consensus out to about 10 months into the future. The same cautions mentioned above for
the distributional count of model predictions apply to this Gaussian standard error 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 total range across the models, nor the ensemble range within individual models.
The probabilities derived from the 25 or more models on the IRI/CPC plume describe, on average,
maintenance of weak El Niño during the present time (October 2012), despite that current observed
conditions have become inadequate to be considered even borderline El Niño conditions.
As mentioned above, the pattern of anomalous convection is not consistent with El Niño, but could
become consistent with some eastward expansion of the region of enhanced convection. The SST anomaly pattern
is also no longer that of El Niño, but this could change if the slightly above average SSTs somewhat
west of the dateline would expand eastward and strengthen somewhat.
The model predictions show an approximately 55% chance of a weak El Niño returning and lasting into
the beginning of northern winter 2012-13. Following this latest model-based ENSO preduction plume prediction, factors
such as known specific model biases and recent changes that the models may have missed will be taken into account in
the next official outlook to be generated and issued in early October by CPC and IRI, which will include some
human judgement in combination with the model guidance. Currently, given the latest observations, this added human factor appears
more likely to weaken than to strengthen the probability for weak El Niño conditions to return in the coming few months.
Using the 0,.45 C thresholds, the climatological probabilities of La Nina, neutral,
and El Nino conditions for each 3-month season are as follows:
Climatological Probabilities
Season | La Niña | Neutral | El Niño |
DJF | 37% | 28% | 35% |
JFM | 34% | 37% | 29% |
FMA | 30% | 48% | 22% |
MAM | 26% | 54% | 20% |
AMJ | 24% | 54% | 22% |
MJJ | 25% | 51% | 24% |
JJA | 25% | 50% | 25% |
JAS | 27% | 46% | 27% |
ASO | 29% | 40% | 31% |
SON | 32% | 34% | 34% |
OND | 34% | 31% | 35% |
NDJ | 37% | 27% | 36% |
See also:
Note 1 - Only models that
produce a new
ENSO prediction every month are included in the above statement.
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