Multivariate ENSO Index (MEI)

The views expressed are those of the author and do not necessarily represent those of NOAA.


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Outline for MEI webpage (updated on May 7th, 2015)

This webpage consists of seven main parts:

1. A short description of the Multivariate ENSO Index (MEI);

2. Historic La Niña events since 1950;

3. Historic El Niño events since 1950;

4. MEI loading maps for the latest season;

5. MEI anomaly maps for the latest season;

6. Discussion of recent conditions;

7. Publications and MEI data access.

El Niño/Southern Oscillation (ENSO) is the most important coupled ocean-atmosphere phenomenon to cause global climate variability on interannual time scales. Here we attempt to monitor ENSO by basing the Multivariate ENSO Index (MEI) on the six main observed variables over the tropical Pacific. These six variables are: sea-level pressure (P), zonal (U) and meridional (V) components of the surface wind, sea surface temperature (S), surface air temperature (A), and total cloudiness fraction of the sky (C). These observations have been collected and published in ICOADS for many years. The MEI is computed separately for each of twelve sliding bi-monthly seasons (Dec/Jan, Jan/Feb,..., Nov/Dec). After spatially filtering the individual fields into clusters (Wolter, 1987), the MEI is calculated as the first unrotated Principal Component (PC) of all six observed fields combined. This is accomplished by normalizing the total variance of each field first, and then performing the extraction of the first PC on the co-variance matrix of the combined fields (Wolter and Timlin, 1993). In order to keep the MEI comparable, all seasonal values are standardized with respect to each season and to the 1950-93 reference period.

IMPORTANT CHANGE: The MEI used to be updated every month during the first week of the following month based on near-real time marine ship and buoy observations (courtesy of Diane Stokes at NCEP). However, this product has been discontinued as of March 2011 (ICOADS-compatible 2-degree monthly statistics). Instead, the MEI is now being updated using ICOADS throughout its record. The main change from the previous MEI is the replacement of 'standard' trimming limits with 'enhanced' trimming limits for the period from 1994 through the current update. This leads to slightly higher MEI values for recent El Niño events (especially 1997-98 where the increase reaches up to 0.235 standard deviations), and slightly lower values for La Niña events (up to -.173 during 1995-96). The differences between old and new MEI are biggest in the 1990s when the fraction of time-delayed ship data that did not enter the real-time data bank was higher than in more recent years. Nevertheless, the linear correlation between old and new MEI for 1994 through 2010 is +0.998, confirming the robustness and stability of the MEI vis-a-vis input data changes. Caution should be exercised when interpreting the MEI on a month-to-month basis, since the MEI has been developed mainly for research purposes. Negative values of the MEI represent the cold ENSO phase, a.k.a.La Niña, while positive MEI values represent the warm ENSO phase (El Niño).

IMPORTANT ADDITION: For those interested in MEI values before 1950, a 'sister' website has now been created that presents a simplified MEI.ext index that extends the MEI record back to 1871, based on Hadley Centre sea-level pressure and sea surface temperatures, but combined in a similar fashion as the current MEI. Our MEI.ext paper that looks at the full 135 year ENSO record between 1871 and 2005 is available online at the International Journal of Climatology (Wolter and Timlin, 2011).


Historic La Niña events since 1950

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How does the 2010-12 La Niña event compare against the six previous biggest La Niña events since 1949? This figure includes only strong events (with at least three bimonthly rankings in the top six), after replacing the slightly weaker 2007-09 event with 2010-12 (rankings are listed here). La Niña events have lasted up to and over three years since 1949, in fact, they do tend to last longer on average than El Niño events. The longest two events included here lasted through most of 1954-56 and 1973-75. The longest event NOT included here occurred in 1999-2001 which reached the 'strong' threshold (top six rankings) just once. Click on the "Discussion" button below to find a comparison of recent El Niño conditions with similar historic situations.


Historic El Niño events since 1950

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How does the 2009-10 El Niño event compare against the seven previous biggest El Niño events since 1950? This figure includes only strong events (with at least three bimonthly rankings in the top six), with the exception of the 2009-10 event that reached the top six ranking twice. Compared to the previous version of this figure, 1997-98 now reaches very similar peak values to the 1982-83 event, just above the +3.0 sigma threshold. Click on the "Discussion" button below to find a comparison of recent El Niño conditions with similar historic situations.


MEI loading maps for the latest season

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The six loading fields show the correlations between the local anomalies and the MEI time series. Land areas as well as the Atlantic are excluded and flagged in green, while typically noisy regions with no coherent structures and/or lack of data are shown in grey. Each field is denoted by a single capitalized letter and the explained variance for the same field in the Australian corner.

The sea level pressure (P) loadings show the familiar signature of the Southern Oscillation: high pressure anomalies in the west and low pressure anomalies in the east correspond to positive MEI values, or El Niño-like conditions. Consistent with P, U has positive loadings along and just south of the Equator, corresponding to westerly anomalies near the dateline. Negative loadings north of Indonesia indicate easterly anomalies during El Niño at this time of year. The meridional wind field (V) features high negative loadings north of the Equator across the Central Pacific basin, denoting the southward shift of the ITCZ so common during El Niño-like conditions, juxtaposed with high positive loadings northeast of Australia (southerly anomalies during El Niño).

Both sea (S) and air (A) surface temperature fields exhibit the typical ENSO signature of a wedge of positive loadings stretching from the Central and South American coast to just east of the dateline, or warm anomalies during an El Niño event. At the same time, total cloudiness (C) tends to be increased over the central and eastern equatorial Pacific, as opposed to decreased cloudiness from the Philippines to Hawai'i and beyond.

The MEI continues its retreat from its peak explained variance (now just under 20%) of all six fields in the tropical Pacific from 30N to 30S. Seventeen years ago, right after the MEI was introduced to the internet, the explained variance for Mar-Apr 1950-1998 amounted to 22.6%. This drop-off by more than 3% reflects the diminished coherence and importance of ENSO events in much of the recent 17 years. The loading patterns shown here resemble the seasonal composite anomaly fields of Year 1 in Rasmusson and Carpenter (1982).


MEI anomaly maps for the latest season

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With the MEI indicating strengthening El Niño conditions, one can find quite a few key anomalies in the MEI component fields that exceed or equal one standard deviation, or one sigma (compare to loadings figure). Most of them flag El Niño conditions indeed.

Significant positive anomalies (coinciding with high positive loadings) indicate relatively high sea level pressure (P) northwest of Australia, westerly wind anomalies (U) west of the dateline and along the Equator, southerly wind anomalies (V) northeast of Australia, and high sea surface (S) and air temperatures (A) over portions of the east-central equatorial Pacific. Significant negative anomalies (coinciding with high negative loadings) flag reduced cloudiness (C) east of Hawai'i. All of these anomalies are consistent with El Niño.

On the other hand, southerly wind anomalies (V) over the central equatorial Pacific as well as increased cloudiness (C) between the Philippines and Hawai'i are more consistent with La Niña than with El Niño.

Go to the discussion below for more information on the current situation.

If you prefer to look at anomaly maps without the clustering filter, check out the climate products in our map room.


Discussion and comparison of recent conditions with historic El Niño conditions

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In the context of intermittent weak El Niño conditions over the last year, this section features a comparison figure with similar weak events, excluding prolonged "Year-2" El Niño conditions. It appears that the situation will become more clear-cut by mid-2015, so that a larger sample of comparable events can be chosen.

The updated (March-April) MEI has risen by 0.30 standard deviations to +0.95, for a strongly increased ranking, now crossing over the 'strong' El Niño threshold (upper 10%ile). Something similar happened last year when the MEI peaked in April-May 2014 with +0.93, only to drop back in subsequent months. Just two years earlier, it also ramped up to similar rankings with a +1.14 reading in June-July 2012 only to revert to neutral just two months later. Therefore, I am a bit hesitant to call this a 'strong El Niño' just yet. Looking at the nearest 12 rankings (+/-6) in this season, and excluding cases with declining values in the wake of previous El Niño events gives us six 'analogues' to ponder: 1953, 1980, and 1981 (all followed by ENSO-neutral conditions later that year), as well as 1987, 1992, and 1993 which continued with El Niño conditions for much of remainder of those years. Not exactly a 'ringing endorsement', but healthy 50/50 odds for El Niño (higher than last month).

Positive SST anomalies have intensified over much of the equatorial Pacific, all the way to the South American coast, as seen in the latest weekly SST map.

For an alternate interpretation of the current situation, I recommend reading the NOAA ENSO Advisory which represents the official and most recent Climate Prediction Center opinion on this subject. In its latest update (April 9th, 2015), El Niño conditions were diagnosed, and expected to continue through boreal summer and even autumn with a greater than 60% chance. This month's assessment will probably be similar if not stronger.

There are a number of ENSO indices that are kept up-to-date on the web. Several of these are tracked at the NCEP website that is usually updated around the same time as the MEI, in time for this go-around. In early 2014, Niño regions 3 and 3.4 dropped to around -0.5C for both indices, followed by a steady warm-up from March through June, reaching +0.9C for Niño 3, and just shy of +0.5C for Niño 3.4. In July 2014, both indices dropped by more than 0.2C, still above +0.5C for Niño 3, but only +0.2C for Niño 3.4. This continued during the month of August. Since then, monthly values rose to +0.9C for Niño 3 and +0.85C for Niño 3.4 in November, their highest values since July 2012 and March 2010 for Niño 3 and 3.4, respectively. Since then, Niño 3.4 weakened to just above +0.5C in January through March, but rose to +0.8C in April, while Niño 3 dropped all the way to +0.15C in March, but rebounded to +0.7C in April.

For extended Tahiti-Darwin SOI data back to 1876, and timely monthly updates, check the Australian Bureau of Meteorology website. This index has often been out of sync with other ENSO indices in the last decade, including a jump to +10 (+1 sigma) in April 2010 that was ahead of any other ENSO index in announcing La Niña conditions. In 2014, its value has varied from +12 in January (moderate La Niña conditions) to -13 in March and -11 in August (full-blown El Niño conditions). April and May were positive, indicating mild La Niña conditions in opposition to all other ENSO indices, but between August and November negative SOI values between -8 and -11 indicated at least weak El Niño conditions. Since December, it rose all the way to +1 in February 2015, only to drop back to -11 in March, and up again to -4 in April. While the SOI remains a noisy ENSO index, it was more clearly in the El Niño 'camp' than others from August 2014 through March 2015 with an eight-month average of almost -8.

An even longer Tahiti-Darwin SOI (back to 1866) is maintained at the Climate Research Unit of the University of East Anglia website, however with less frequent updates, although the last one was just completed to include data through 2014. Extended SST-based ENSO data can be found at the University of Washington-JISAO website, which is now a full four years behind schedule (through January 2011).

Stay tuned for the next update by June 6th to see where the MEI will be heading next. El Niño already went through a four-month 'dress rehearsal' last boreal summer, disappeared for two months, returned for two months, went back to an El Niño-flavored neutral status in January, only to cross back over that threshold in February and grow further in March and April (for the MEI). Will the event take hold and grow further over the next six months, as is advertized by most models, or will it disappear again? It appears that the overall situation is more favorable in 2015 than in 2014 (or 2012). For the time being, at least some typical El Niño impacts may be anchored by positive PDO conditions that have prevailed for all of 2014, reaching record levels at or above +2 since December 2014. Meanwhile, the westerly wind burst mentioned in March may have found a worthy replacement in early May.


MEI data access and publications

You can find the numerical values of the MEI timeseries under this link, and historic ranks under this related link.

If you have trouble getting the data, please contact me under (Klaus.Wolter@noaa.gov)

You are welcome to use any of the figures or data from the MEI websites, but proper acknowledgment would be appreciated. Please refer to the (Wolter and Timlin, 1993, 1998) papers below (available online as pdf files), and/or this webpage.

In order to access and compare the MEI.ext against the MEI, go here.


Publications

  • Rasmusson, E.G., and T.H. Carpenter, 1982: Variations in tropical sea surface temperature and surface wind fields associated with the Southern Oscillation/El Niño. Mon. Wea. Rev., 110, 354-384. Available from the AMS.
  • Wolter, K., 1987: The Southern Oscillation in surface circulation and climate over the tropical Atlantic, Eastern Pacific, and Indian Oceans as captured by cluster analysis. J. Climate Appl. Meteor., 26, 540-558. Available from the AMS.
  • Wolter, K., and M.S. Timlin, 1993: Monitoring ENSO in COADS with a seasonally adjusted principal component index. Proc. of the 17th Climate Diagnostics Workshop, Norman, OK, NOAA/NMC/CAC, NSSL, Oklahoma Clim. Survey, CIMMS and the School of Meteor., Univ. of Oklahoma, 52-57. Download PDF.
  • Wolter, K., and M. S. Timlin, 1998: Measuring the strength of ENSO events - how does 1997/98 rank? Weather, 53, 315-324. Download PDF.
  • Wolter, K., and M. S. Timlin, 2011: El Niño/Southern Oscillation behaviour since 1871 as diagnosed in an extended multivariate ENSO index (MEI.ext). Intl. J. Climatology, 31, 14pp., in press. Available from Wiley Online Library.


Questions about the MEI and its interpretation should be addressed to:
(Klaus.Wolter@noaa.gov), (303) 497-6340.