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HOME > Ensemble Model Prediction > Probabilistic and ensemble mean anomaly map (Sub-seasonal prediction)

Probabilistic and ensemble mean anomaly map (Sub-seasonal prediction)


The Japan Meteorological Agency provides tercile probabilistic forecast for sub-seasonal (1st, 2nd, 3rd-4th and 1st-4th week) sea surface temperature (SST), surface temperature (T2m), precipitation (Rain) based on CPS3 (Coupled Prediction System version 3). The specification of the CPS is described in the model outline page.
The tercile categories and climatological means are based on hindcast dataset for 1991 - 2020. The reanalysis dataset uses JRA-3Q for T2m and MGDSST for SST, and Rain for GPCP v1.3. data.
Ensemble statistics products (probabilitiesand ensemble mean anomaly) are based on 10-member lagged ensemble with 2 initial times.

Sub-seasonal Outlook


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Tokyo Climate Center, Climate Prediction Division.
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