This page provides an overview of regional forecast skill for the JJA 2026 period. Forecast scores are updated automatically every week throughout the competitive period. The current data includes 8 forecasts initialized between Thursday 14th May 2026 and Thursday 2nd July 2026 (inclusive). For a detailed description of the outputs, please refer to the section's overview.

Regional skill score files

All regional RPSSs are available to download via the following link:

JJA 2026 Regional RPSSs (Excel format)

Regional scores for the top 10 teams of global, period-aggregated, variable-averaged RPSSs

Team nameTeam rankModel nameModel rankGlobalTropicsNHem. ExTro.SHem. ExTro.NHem. PolarSHem. PolarEuropeN. Amer.S. Amer.AfricaAsiaOceania
CMAandFDU1FengshunAdjust10.1460.240.0390.070.0360.0990.0420.0690.1850.2330.0950.23
CMAandFDU1FengshunHybrid40.1330.2220.0320.0730.0270.0830.0380.060.1790.1890.090.245
CMAandFDU1Fengshun70.1280.2170.0210.0620.0260.0890.0330.0490.1860.1980.0830.184
LP2LPM20.1430.250.0350.069-0.0050.0740.0660.0540.1770.2110.1020.259
AIFS3AIFSthalassa30.1360.2320.0140.1070.0060.1030.0220.0570.190.1880.080.229
AIFS3AIFShera50.1330.2230.0120.1060.0020.1180.0170.0620.1830.1960.070.206
AIFS3AIFSgaia110.1170.2060.0090.081-0.0090.0840.0230.0390.1540.1470.0750.206
MicroEnsemble4MicroDuet60.1290.2170.0370.080.0230.0680.050.0690.1680.1740.0910.241
MicroEnsemble4StillLearning100.1250.2070.0380.0740.0260.0610.050.0680.1660.1640.0970.232
MicroEnsemble4Huracan130.0960.1740.0070.0890.0020.0270.0340.0340.130.1010.0610.212
CLINT5CLINTDD80.1270.2180.0240.0440.0190.070.0650.0490.1510.1790.0980.2
CLINT5CLINTMF90.1270.2180.0230.0460.0160.0760.0660.050.1510.1790.0950.197
CLINT5CLINTSE170.0850.174-0.027-0.005-0.0260.0830.0390.010.0960.1040.0390.161
SBUHybrid6HybridStillDeveloping120.1160.2060.0330.0460.0130.0270.0410.0340.1280.1820.0950.212
SBUHybrid6HybridPPx160.090.1630.0190.030.0010.0210.012-0.0080.0580.1620.080.182
SBUHybrid6HybridAC230.0730.1280.0230.0210.0010.0250.015-0.0150.0250.1340.0520.169
UWAtmosNVIDIA7DLESyMS2Sv1140.0940.1710.0010.0520.0030.0510.010.0050.1120.1130.0740.173
MetaCarbon30608PuyunEnsemble150.0930.185-0.0070.0020.0150.035-0.0010.0110.0950.1590.080.18
MetaCarbon30608PuyunWeather180.0850.173-0.0150.0030.0130.0320.0170.0180.0640.1360.070.204
MetaCarbon30608PuyunLDM210.0750.168-0.031-0.0040.0030.03-0.031-0.0060.0760.1410.0580.17
scienceAI9zephyr190.0840.1420.020.030.0160.0330.0340.0240.0630.0980.0780.143
scienceAI9ngcm200.0780.1330.0210.0420.0010.0090.0230.0230.0520.1010.0610.141
scienceAI9findforecast320.0330.0530.0180.0140.0170.004-0.0030.0110.0470.0760.0320.023
Arcana10ArcanaSpherical220.0750.155-0.049-0.0-0.0120.104-0.060.0230.1180.113-0.0140.154
Arcana10ArcanaSphericalv2240.0680.162-0.062-0.016-0.0370.044-0.063-0.0110.1020.111-0.0190.201
Team nameTeam rankModel nameModel rankGlobalTropicsNHem. ExTro.SHem. ExTro.NHem. PolarSHem. PolarEuropeN. Amer.S. Amer.AfricaAsiaOceania
CMAandFDU1FengshunAdjust10.1370.2230.0570.050.0290.0620.060.0860.1960.1890.0920.188
CMAandFDU1FengshunHybrid30.1240.2040.0530.0560.0260.0410.0610.0690.210.1380.090.201
CMAandFDU1Fengshun40.1180.1980.0420.0330.0190.0470.0490.0720.1890.1540.0790.138
LP2LPM20.1280.2290.0390.048-0.0030.0230.0670.0390.2080.1580.1040.221
CLINT3CLINTDD50.1160.1980.0330.0430.0250.0320.0660.0420.1920.1210.10.185
CLINT3CLINTMF70.1150.1990.0320.040.0220.0330.0670.040.1930.120.10.181
CLINT3CLINTSE190.0730.153-0.015-0.01-0.0090.040.0240.0040.1540.0320.0520.141
MicroEnsemble4MicroDuet60.1150.1980.040.050.0140.0370.0510.0540.1860.1270.0890.198
MicroEnsemble4StillLearning80.1120.190.0430.050.0140.0250.0480.0570.1870.1230.0930.194
MicroEnsemble4Huracan160.0820.1610.0090.056-0.012-0.0230.040.020.1640.0530.0580.175
AIFS5AIFSthalassa90.1060.1880.0120.07-0.0030.0560.0140.040.1850.1140.0610.154
AIFS5AIFShera100.1030.1850.010.06-0.0010.0510.010.0320.1730.1180.0710.144
AIFS5AIFSgaia120.0910.1680.0080.049-0.0220.040.0120.0330.1670.1010.0420.118
SBUHybrid6HybridStillDeveloping110.10.1830.0260.030.008-0.0010.0330.0350.1490.1420.0770.173
SBUHybrid6HybridPPx150.0880.1670.0130.04-0.015-0.017-0.0040.0050.1210.1140.080.172
SBUHybrid6HybridAC210.070.1330.0060.038-0.005-0.024-0.008-0.020.0860.0830.0570.167
MetaCarbon30607PuyunEnsemble130.090.1620.0160.034-0.0140.0380.0240.0330.1760.1120.0350.159
MetaCarbon30607PuyunWeather140.0890.1610.0190.0360.0030.0190.0490.0290.1640.0820.0580.132
MetaCarbon30607PuyunLDM230.0610.129-0.0180.023-0.0370.025-0.0110.0160.1470.086-0.0150.134
scienceAI8zephyr170.080.1340.0230.0160.020.0260.0420.0410.0890.080.0750.117
scienceAI8ngcm200.0720.1210.0250.0280.0070.0090.0320.0370.0730.0770.0560.11
scienceAI8findforecast300.0320.0540.0250.0020.021-0.0270.010.0160.0540.0680.0360.018
UWAtmosNVIDIA9DLESyMS2Sv1180.0780.1470.0090.013-0.0030.0140.0050.0190.1120.080.0560.131
CliMA10CliMAWeather2220.0620.1130.0160.011-0.002-0.0080.0250.0110.0710.0750.0550.128
CliMA10CliMAWeather240.060.1070.0190.0160.0030.0030.0220.0160.0810.0780.0490.109

Figures showing aggregated RPSSs for best-performing model from top 10 teams

Figures showing evolution of skill scores

Figures showing percentage of grid points with positive period-aggregated RPSSs

Figures showing observed conditions with respect to defined ERA5 climatology

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