Multivariate ENSO Index (MEI)

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

Click to enlarge

Outline for MEI webpage (updated on November 3rd, 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

Click to enlarge

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 strong 2015 El Niño conditions with historic strong El Niño events.

Historic El Niño events since 1950

Click to enlarge

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 strong 2015 El Niño conditions with the same seven historic events. Once the 2015-16(?) event is over, the comparison figure with 2015-16 will replace the current one with 2009-10.

MEI loading maps for the latest season

Click to enlarge

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 near the dateline, corresponding to westerly anomalies along the Equator from Indonesia and the Phillippines to 140W. In contrast, significant negative loadings cover the easternmost Pacific off the Central American coast as well as western Indonesia, denoting easterly anomalies during El NiƱo at this time o year. The meridional wind field (V) features scattered negative loadings north of the Equator across the Pacific basin, flagging the southward shift of the ITCZ that is common during El Niño-like conditions, juxtaposed with large 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 the dateline, or warm anomalies during an El Niño event. Substantial negative loadings north and east of Australia contribute significantly to the overall tempeature pattern (S and A). At the same time, total cloudiness (C) tends to be increased over the west-central tropical Pacific and on the northeastern flank of the South Pacific Convergence Zone (SPCZ), sandwiched in between decreased cloudiness over Indonesia and the eastern-most equatorial Pacific.

The MEI now stands for 30.8% of the explained variance of all six fields in the tropical Pacific from 30N to 30S, having regained 13% since May-June. It has now recovered to within 1% of the explained variance posted eighteen years ago, right after the MEI was introduced to the internet. The loading patterns shown here resemble the seasonal composite anomaly fields of Year 0 in Rasmusson and Carpenter (1982).

MEI anomaly maps for the latest season

Click to enlarge

With the MEI indicating continuing strong El Niño conditions, one can find a long list of key anomalies in the MEI component fields that exceed or equal one standard deviation, or one sigma (compare to loadings figure). Every one of them flags El Niño rather than La Niña conditions.

Significant positive anomalies (coinciding with high positive loadings) indicate very high sea level pressure anomalies (P) northwest of Australia, westerly wind anomalies (U) along the Equator and centered on the dateline, very strong southerly wind anomalies (V) northeast of Australia, very high sea surface (S) and air temperatures (A) anomalies over the central and eastern equatorial Pacific, and enhanced cloudiness (C) over the southern tropical Pacific near the dateline. While all six fields show anomalies in excess of one standard deviations, the number of two sigma anomaly fields has dropped from six last month to four this month (both zonal winds and cloudiness are now less extreme). Significant negative anomalies (coinciding with high negative loadings) continue very strong over the eastern equatorial Pacific for sea level pressure (P). Easterly wind anomalies (U) are prominent off the coast of Central America and over the South China Sea. Increased northerly anomalies have become very strong (V) southeast of Hawai'i. Anomalously cold air temperatures (A) east of Australia round out this picture.

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

If you prefer to look at anomaly maps without the clustering filter (which is most limiting for the cloudiness field), check out the climate products in our map room.

Discussion and comparison of recent conditions with historic El Niño conditions

Click to enlarge

In the context of strong El Niño conditions since March-April 2015, this section features a comparison figure with the classic set of strong El Niño events during the MEI period of record.

Compared to last month, the updated (September-October) MEI has dropped by 0.30 standard deviations to +2.23, but has continued at the 2nd highest ranking for four months running, surpassed only in 1997 at this time of year. Last month's peak value of +2.53 remains the third highest overall at any time of year since 1950. It is perhaps of interest that the 1997 El Niño went through a similar weakening of conditions as monitored by the MEI, in fact, it dropped by 0.63 standard deviations from September to October, only to rebound by almost 0.4 standard deviations in early 1998.

Looking at the nearest 6 rankings (+1/-5) in this season gives us the usual 'analogues' already identified last month: 1965, 1972, 1982, and 1997, plus 1987 and 1994 which were already declining by then. Both 1965 and 1972 managed to rise just 0.1 or 0.2 sigma after October, essentially flatlining into the winter, while 1997 had that aforementioned rebound in early 1998, and the 1982-83 event gained an astonishing 1.0 standard deviations by February-March 1983. In other words, history is not really giving us a clear indication of what to expect next. Given the strength of the current event, it is quite likely that the next four months will remain in the top 10% rankings for the MEI.

Positive SST anomalies cover the eastern equatorial Pacific, all the way from just west of the dateline to the South American coast, as seen in the latest weekly SST map. This includes anomalies above +2C from about the coast to 170W, with widespread +3C anomalies within that 'warm tongue'.

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 (October 8th, 2015), El Niño conditions were diagnosed, and were expected to continue through the winter of 2015-16 with a 95% chance. While I wonder where the 5% uncertainty comes from, there is no need to quibble.

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, but not in time for this go-around. Note that I always refer to the OISSTv2 anomalies in this discussion, they tend to be bigger than the ERSSTv4 anomalies that are currently used by CPC. Since October 2014, Niño region 3.4 first hovered around +0.5C, but rose steadily from April onwards, reaching +1.3C in June, +1.6C in July, +2.1C in August, and 2.3C in September. Niño region 3 dropped out of weak El Niño conditions from January through March 2015, but quickly rose from +0.7C in April to +2.6C in September 2015. For comparison, the biggest Niño 3 anomalies reached +3.3C in January 1983 and +3.6C in December 1997, or 0.7-1.0C higher than so far in 2015. The biggest Niño 3.4 anomalies reached +2.8C in January 1983 and +2.7C in December 1997, or 0.4-0.5C higher than so far in 2015. The latest weekly SST anomalies from late October show +2.8C and 2.7C for Niño 3 and 3.4, respectively - the monthly values for October 2015 will definitely be higher than the previous month's for both Niño regions.

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 2015, its value varied from +1 in February (neutral ENSO conditions) down to -11 in March, up again to -4 in April, and back down below -10 since May, reaching -20 in August, its lowest value since February 2005, followed by -18 in September. The running five-month value for May through September (-15.6) is the lowest since early 1998. It is unusual for this index not to be updated in time for the MEI update.

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, with the last one to include data through 2014. Extended SST-based ENSO data can be found at the University of Washington-JISAO website, which is now more than four years behind current conditions.

Stay tuned for the next update by December 7th (probably earlier) to see where the MEI will be heading next. El Niño conditions are guaranteed to persist into the upcoming boreal winter season, most likely at strong levels. The odds of reaching peak values around +3 sigma have obviously dropped compared to last month. Typical El Niño impacts will be supported by positive PDO conditions that have endured since January 2014, reaching record levels from December 2014 through February 2015. Daily updates of the ENSO status can be found at the TAO/TRITON website, showing westerly wind anomalies not big enough to encourage further growth as of the beginning of November.

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 (

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.


  • 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., 1074-1087. Available from Wiley Online Library.

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