Multivariate ENSO Index

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Multivariate ENSO Index
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The Multivariate ENSO Index (MEI) is said to capture a more holistic representation of the atmospheric and oceanic anomalies that occur during ENSO events than do single-variables timeseries like the NinoSST indices. The MEIv2 is based on five variables from the tropical Pacific. These five variables are: sea-level pressure (P), zonal (U) and meridional (V) components of the surface wind, sea surface temperature (S), and outgoing longwave radiation (OLR). 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 1980-2018 reference period. (http://www.esrl.noaa.gov/psd/enso/mei/)

Key Strengths

Key Strengths

Captures a more holistic picture of the state of ENSO than do SST-based indices

Key Limitations

Key Limitations

As it requires several variables, extending it back in time is more challenging than for SST-based indices

More complicated to calculate than single-variable SST indices

Please cite data sources, following the data providers' instructions
Suggested Data Citation
None
Dataset DOIs
None
Hosted Climate Index Files
None
Data Access
Usage Restrictions
None

Key Figures

ENSO event evolution

Evolution of ENSO events as idicated by the MEI. El Nino (top panel) and La Nina (bottom panel). Figure from https://www.esrl.noaa.gov/psd/enso/mei/

MEI patterns

Correlation coefficients between the MEI and its 5 input variables for the March-April season. Figure from https://www.esrl.noaa.gov/psd/enso/mei/

Other Information

Earth system components and main variables
None
Type of data product

Years of record
to
Data time period extended
Yes, data set is extended
Timestep
Monthly
Formats:
Input Data
None
Vertical Levels:
Missing Data Flag
None
Ocean or Land
None
Spatial Resolution
None
Model Resolution (reanalysis)
None
Data Assimilation Method
None
Model Vintage (reanalysis)
None

Key Publications
  1. 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
  2. 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.
  3. Wolter, K., and M. S. Timlin, 1998: Measuring the strength of ENSO events - how does 1997/98 rank
  4. Weather, 53, 315-324
  5. Wolter, K., and M.S. Timlin, 1993: Monitoring ENSO in COADS with a seasonally adjusted principal component index. Proc. 17th Climate Diagnostics Wkshop, Norman, OK, NOAA/NMC/CAC, NSSL, Oklahoma Clim. Survey, CIMMS and the School of Meteor.