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

Model Model Type Description
NCEP CFSv2DynamicalNOAA Climate Prediction Center NCEP CFSv2
JMADynamicalTokyo Climate Center
BCC_CSM11mDynamicalBeijing Climate Center SM1.1 Dynamic Model
SAUDI KAUDynamicalSaudi King Abdulaziz University Climate Center
LDEODynamicalLamont-Doherty Earth Observatory, Columbia University
AUS-ACCESSDynamicalCSIRO Australian Community Climate and Earth System Simulator
ECMWFDynamical European Centre for Medium-Range Weather Forecasts SEAS5
UKMO DynamicalUK Met Office GloSea 6
KMA SNUDynamicalKorean Met Agency SNU
IOCAS ICMDynamicalInstitute of Oceanology, Chinese Academy of Sciences
COLA CCSM4DynamicalUniversity of Miami
MetFRANCEDynamicalMeteo France Seasonal Forecast
SINTEX-FDynamicalJapanese Agency for Marine-Earth Science and Technology
CSI-IRI-MMDynamicalUniversity of Pretoria, Willem Landman
GFDL SpearDynamicalNOAA GFDL
CMC CANSIPDynamicalGovernment of Canada CanSIPS
NTU CODAStatisticalTaiwan Computational Oceanography and Dynamics of A-rSea Interaction Lab
BCC RZDMStatisticalBeijing Climate Center RZDM
CPC CAStatisticalNOAA CPC Canonical Correlation Analysis
CSU CLIPRStatisticalColorado State University
IAP-NNStatisticalInstitute of Applied Physics of the Russian Academy of Sciences
UCLA TCDStatisticalUCLA Theoretical Climate Dynamics
CPC CONSOL Consolidated NINO3.4 Outlook Probability Table