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HOME > Ensemble Model Prediction

JMA's Ensemble Prediction System (Products of GPC Tokyo)

JMA operates the ensemble prediction system of an atmospheric global circulation model (AGCM) for one-month prediction and atmosphere-ocean coupled global circulation model (CGCM) for three-month and warm/cold season prediction. Ensemble prediction products, verification charts and description of the ensemble prediction system are available on this page.

Notice

  • 28 August 2014
    The provision of "Forecast Products in Support of Early Warnings for Extreme Weather Events" started.


  • 25 March 2014
    The provision of "Monthly Discussion on Seasonal Climate Outlooks" started on a trial basis.


  • 6 March 2014
    JMA's One-month forecast model has been upgraded. Please refer to the "TCC News No. 35" for details.


  • 8 May 2013
    The model statistics for the forecast maps, such as model normal and systematic errors, were updated on 18 April 2013. The period for the model statistics are changed to 1981-2010.


  • 7 March 2013
    Hindcast gridded data were available for the period up to 2009 for one-month forecast and up to 2008 for three-month and warm/cold season forecasts. Recently, hindcast gridded data up to 2010 for one-month, three-month and warm/cold season forecasts have been made available at http://ds.data.jma.go.jp/tcc/tcc/gpv/index.html (available only for registered NMHSs).


  • Gridded data for seasonal forecasts have been upgraded since 17 Februrary 2010. Please refer to the top page of the "TCC News No. 19" for details.


Main Products

Monthly Discussion on Seasonal Climate Outlooks  last updated : 24 Oct 2014

- Trial provision -

This product is intended to assist NMHSs in the Asia-Pacific region in interpreting GPC Tokyo's three-month prediction and warm/cold season prediction products.

Forecast Products in Support of Early Warnings for Extreme Weather Events new   last updated : 20 Nov 2014

Early warning products for extreme weather events covering the period up to two weeks ahead. (Only registered NMHSs can access this page.)

  • If you have any questions about ID and/or password, please e-mail to: mail_address
  • Download GPC Long-range Forecast (LRF) Products

  • If you have any questions about ID and/or password, please e-mail to: mail_address
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