APCC MME Individual Models Tutorial

Multi-Model Ensemble(MME) technique is one of the efficient solutions to improve the climate forecast skills. The basic idea of MME is to avoid inherent model errors and minimize the uncertainties by using independent and skillful models. For better forecast compared to single model forecast, APCC adopts one deterministic and one probabilistic MME methods by collecting individual model forecast data from 15 centers/institutions in 11 countries.

MME participating models

Table 1. Organization
Center/Institution Country System name
BCC China CSM1.1m
BoM Australia ACCESS-S2
CMCC Italy SPS3.5
CWA Chinese Taipei TCWA1Tv1.1
HMC Russia SL-AV
KMA Korea GloSea6GC3.2
MGO Russia MGOAM-2
NCEP United States of America CFSv2
PNU-RDA Korea CGCMv2.0
UKMO United Kingdom GloSea6

List of parameters

Table 2. Parameter name
Name Abbreviation for file name Unit
Outgoing longwave radiation olr W m-2
Precipitation prec mm day-1
Sea level pressure slp hPa
Sea surface temperature sst K
Temperature at 2m t2m K
Temperature at 850hPa t850 K
Surface temperature ts K
Zonal wind at 200hPa u200 m s-1
Zonal wind at 850hPa u850 m s-1
Zonal wind at 925hPa u925 m s-1
Meridional wind at 200hPa v200 m s-1
Meridional wind at 850hPa v850 m s-1
Meridional wind at 925hPa v925 m s-1
Geopotential height at 500hPa z500 m
[Note] available parameters depends on models.

Temporal Coverage and resolution

Model data up to 11 months lead time
* Lead time means the length of time between the issuance of a forecast and the occurrence of the phenomena that were predicted

Spatial coverage and resolution

Global data whose resolution is 2.5°×2.5°

Data Format


More information on each model and MME methods is available at:  Model Description ,  Methodolgy,   Outlook Summary

MME Individual Model Download Tutorial


When you use the APCC MME and/or individual model data in any documents or publications, please acknowledge us by including the following text, “The authors acknowledge the APCC MME Producing Centers for making their hindcast/forecast data available for analysis, the APEC Climate Center for collecting and archiving the data, as well as for producing APCC MME predictions.”

MME model data is updated around the 15th of every month and may change depending on operational situation.


* If you want to get data of each year or season at once, select year or month heads.

Select to request as a download Job.

Select to download script using wget.