ENSO Prediction Models

The following is a list of the models we currently use in our SST Plume. The links for each model should bring you to a website that describes the model. Please feel free to contact us via email at ude.aibmuloc.irinull@stcudorp if you have any questions.

Last Updated: May 24, 2022

Dynamical Models

Model Model Type Description
AUS-ACCESS Dynamical CSIRO Australian Community Climate and Earth System Simulator
BCC_CSM11m Dynamical Beijing Climate Center SM1.1 Dynamic Model
CMC CANSIP Dynamical Government of Canada CanSIPS
COLA CCSM4 Dynamical University of Miami
CSI-IRI-MM Dynamical University of Pretoria, Willem Landman
DWD Dynamical German Weather Service – Deutscher Wetterdienst
ECMWF Dynamical European Centre for Medium-Range Weather Forecasts SEAS5
GFDL Spear Dynamical NOAA GFDL
IOCAS ICM Dynamical Institute of Oceanology, Chinese Academy of Sciences
JMA Dynamical Tokyo Climate Center
KMA SNU Dynamical Korean Met Agency SNU
LDEO Dynamical Lamont-Doherty Earth Observatory, Columbia University
MetFRANCE Dynamical Meteo France Seasonal Forecast
NCEP CFSv2 Dynamical NOAA Climate Prediction Center NCEP CFSv2
SAUDI KAU Dynamical Saudi King Abdulaziz University Climate Center
SINTEX-F Dynamical Japanese Agency for Marine-Earth Science and Technology
UKMO Dynamical UK Met Office GloSea 6

Statistical Models

Model Model Type Description
BCC RZDM Statistical Beijing Climate Center RZDM
CPC CA Statistical NOAA CPC Canonical Correlation Analysis
CSU CLIPR Statistical Colorado State University
IAP-NN Statistical Institute of Applied Physics of the Russian Academy of Sciences
NTU CODA Statistical Taiwan Computational Oceanography and Dynamics of A-rSea Interaction Lab
TONGJI MEAN Deep Learning/Machine Learning This is a mean of 3 of Tongji University’s Deep Learning models: ENSO-ASC, ENSO-GTC, ENSO-MC
UCLA TCD Statistical UCLA Theoretical Climate Dynamics
UW PSL-CSLIM Statistical University of Wisconsin
UW PSL-LIM Statistical University of Wisconsin

Consolidated Models

Model Description
CPC CONSOL Consolidated NINO3.4 Outlook Probability Table