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Technical ENSO Update

18 July 2006


> Current conditions
> Expected conditions

Current Conditions

The current conditions, as of mid-July 2006, are ENSO-neutral. However, SSTs are now approximately 0.5C above average in the central equatorial Pacific, and SSTs are also above average in the far eastern equatorial Pacific. There has been a slow evolution of the equatorial Pacific towards warmer conditions. Deep perturbations exist near the dateline in the equatorial thermocline, which were generated by anomalous westerly winds over the last couple weeks in the western Pacific. These deep thermocline anomalies, although not large, have contributed to the increasing heat content. The equatorial thermocline appears to be deepening in the far eastern Pacific also, and as a result, sea surface temperatures (SSTs) are now above average there. The far eastern sub-surface anomalies have resulted primarily from convergence of off-equatorial anomalies onto the equator, rather than adjustment along the equator.

For June 2006, the SSTs in the NINO3.4 region were 0.38 degrees C above average, and for the Apr-May-June season were 0.15 degrees C above 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 Jun-Jul-Aug and Jul-Aug-Sep seasons is approximately 0.45C away from average.

Expected Conditions

With only weak to moderate anomalies in the surface and sub-surface temperature fields, the maintenance of ENSO-neutral conditions remains the most likely outcome for the coming 3-month season. There is an estimated 63% likelihood for neutral conditions, approximately 2% probability for La Niña conditions to return, leaving 35% probability that El Niño conditions will develop during the JAS 2006 season.

Deep thermocline anomalies have developed on the equator in the central Pacific over the last month due to intermittent and localized westerly wind bursts in the central/western Pacific, rather than internal oceanic wave adjustment. The thermocline anomalies are not large, and do not cover a large span of the central Pacific. Without further reinforcement from future westerly wind bursts, the thermocline anomalies are not likely to survive to the eastern Pacific in order to effect SSTs, as the thermocline adjusts via equatorial wave dynamics. Weather phenomena in the Indo-Pacific region could provide the low-level westerly wind anomalies and influence the near-term evolution of the tropical Pacific, but high frequency variability, such as the MJO, is not well captured by ENSO prediction models. The state of the tropical Pacific is near average right now, although the possibility exists for the system to be pushed toward future warming.

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, mainly ranging from neutral to weak El Niño conditions for the longer-lead seasons. No model is forecasting La Niña conditions to occur through the forecast period. For the JAS 2006 season,  7 out of 20 models (35%) predict El Niño conditions. 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, 4 of 13 models (31%) call for El Niño conditions by the Nov-Dec-Jan period; none indicate SSTs exceeding the threshold for La Niña (Note 1). The majority of the models indicate that the SST conditions in the NINO3.4 region will remain near-normal throughout the forecast period: ASO 2006 (65%) to MAM 2007 (50%). Caution is advised in interpreting the distribution of model forecasts as the actual probabilities for the coming several months. The expected skill of one model versus another has not been established using uniform validation procedures, which may cause a difference in the above probability estimate from the true probability.

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 also indicate a probability of El Niño that is higher than the climatological value (25%)-- fluctuating between 33% and 38% from Jul-Aug-Sep 2006, through the end of the year. For La Niña the probabilities do not exceed 5% throughout the forecast period. 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.

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 higher than average probabilities for ENSO-neutral conditions, somewhat higher than average probabilities for El Niño, and much lower than climatological probabilities for La Niña conditions through the end of 2006 and into early 2007.
See also: 

Note 1 - Only models that produce a new ENSO forecast every month are included in the above statement.
 
 

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