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
NASA GMAO
Dynamical
NASA GMAO GEOS-S2S
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
CPCMRKOV
Statistical
NOAA CPC MARKOV
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
UCLA TCD
Statistical
UCLA Theoretical Climate Dynamics
Consolidated Models
Model
Description
CPC CONSOL
Consolidated NINO3.4 Outlook Probability Table