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 6 forecasts initialized between Thursday 14th May 2026 and Thursday 18th June 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
CMAandFDU1FengshunAdjust10.1380.2230.0430.0480.0420.0960.0480.0740.1520.2320.0970.204
CMAandFDU1FengshunHybrid30.1250.2090.0290.0580.0270.0820.0490.0580.1370.1920.0870.239
CMAandFDU1Fengshun40.1220.20.0290.0380.0320.0910.0410.0530.1460.1970.0930.155
LP2LPM20.1310.2360.0310.062-0.0220.0740.0760.0470.1450.2060.0920.242
AIFS3AIFShera50.1210.2080.0090.079-0.0060.1020.0070.0670.1350.2050.0690.186
AIFS3AIFSthalassa60.1210.2110.0060.086-0.0080.0960.0150.0520.140.1830.0730.215
AIFS3AIFSgaia120.10.184-0.0040.055-0.0290.090.0150.0270.1010.1420.070.184
MicroEnsemble4MicroDuet70.120.2020.0370.0740.0160.0740.0650.0690.1410.1710.0810.225
MicroEnsemble4StillLearning100.1160.1930.0380.0710.0190.0630.0640.0680.1390.1590.0840.218
MicroEnsemble4Huracan150.0810.1510.0070.079-0.0060.0240.0420.0280.0780.0920.0530.202
CLINT5CLINTDD80.1190.2030.0280.0380.0090.0750.0890.0530.1120.1740.0930.197
CLINT5CLINTMF90.1190.2030.0260.0410.0030.0820.0890.0550.1150.1750.0890.192
CLINT5CLINTSE180.0710.149-0.028-0.004-0.0440.1040.0680.0030.0220.0820.0260.17
SBUHybrid6HybridStillDeveloping110.1090.1930.0320.0280.0180.0310.050.0230.0970.1860.0950.19
SBUHybrid6HybridPPx170.0740.1350.0130.0050.010.0260.025-0.024-0.0070.1680.0750.154
SBUHybrid6HybridAC200.0540.0950.019-0.0090.0040.0320.032-0.032-0.0570.130.0540.137
MetaCarbon30607PuyunWeather130.0830.193-0.028-0.061-0.010.0290.035-0.0-0.050.1490.1030.264
UWAtmosNVIDIA8DLESyMS2Sv1140.0810.153-0.0070.0310.0010.0510.024-0.0160.0430.1220.0720.162
scienceAI9zephyr160.0780.1360.0190.0110.0140.0310.0340.0230.020.1080.0790.138
scienceAI9ngcm190.0690.1210.020.027-0.0020.0120.0240.0230.0090.1020.0580.139
scienceAI9findforecast270.0330.0510.0170.0160.0280.0130.0060.0150.0450.0740.0290.034
CliMA10CliMAWeather210.0480.0860.0180.019-0.004-0.0140.0090.020.0390.0730.0380.115
CliMA10CliMAWeather2220.0470.090.0160.013-0.014-0.030.0060.0180.0190.0740.0420.142
Team nameTeam rankModel nameModel rankGlobalTropicsNHem. ExTro.SHem. ExTro.NHem. PolarSHem. PolarEuropeN. Amer.S. Amer.AfricaAsiaOceania
CMAandFDU1FengshunAdjust10.1390.2240.0640.0180.0390.0730.0620.0870.1570.2090.1150.183
CMAandFDU1FengshunHybrid20.1230.2040.0560.0330.030.0390.0660.0680.1630.1530.1090.211
CMAandFDU1Fengshun30.1220.2020.055-0.0140.030.0580.0510.0750.1480.1760.1150.12
LP2LPM40.1210.2220.0390.023-0.0140.0130.0750.0270.1690.1560.1190.205
MicroEnsemble3MicroDuet50.1120.1940.0430.0340.0090.0330.0510.0510.1560.1350.1030.192
MicroEnsemble3StillLearning80.1080.1850.0460.0320.0090.0140.0540.0520.1570.1290.1040.187
MicroEnsemble3Huracan180.0750.1490.0140.04-0.016-0.0230.0330.0090.1050.0520.0780.179
CLINT4CLINTDD60.1120.1890.0390.0170.0260.0330.0880.0410.1480.1160.1190.18
CLINT4CLINTMF70.1110.1890.0370.0120.0210.0330.0870.0370.1490.1140.1190.175
CLINT4CLINTSE200.0610.129-0.013-0.038-0.0160.0550.048-0.0090.080.0060.0640.142
AIFS5AIFShera90.1050.1920.0130.01-0.0010.050.0170.0390.1360.1530.0910.134
AIFS5AIFSthalassa100.1020.1860.0110.033-0.0040.0590.0160.0380.1490.1310.0750.146
AIFS5AIFSgaia120.0850.160.0070.01-0.0250.0460.0140.0310.1340.1130.0530.092
SBUHybrid6HybridStillDeveloping110.0950.1780.029-0.0020.006-0.0030.0380.0350.0980.1470.0930.163
SBUHybrid6HybridPPx160.0760.150.0120.008-0.017-0.0210.006-0.0180.0310.1150.0930.172
SBUHybrid6HybridAC230.0550.1070.0020.003-0.007-0.0290.007-0.043-0.020.0740.0640.16
scienceAI7zephyr130.0790.1350.0270.0060.0210.0260.0440.0340.0570.0810.0940.132
scienceAI7ngcm190.070.1170.0250.0340.0050.0170.0340.030.040.0790.0590.135
scienceAI7findforecast300.0310.0530.0210.0110.016-0.0240.0120.0130.0490.0690.0320.04
MetaCarbon30608PuyunWeather140.0780.1450.0220.01-0.0090.0070.0590.030.1230.070.0640.109
MetaCarbon30608PuyunEnsemble170.0750.1420.0120.004-0.0290.0290.0250.0260.1350.1050.0310.139
MetaCarbon30608PuyunLDM270.0380.101-0.034-0.007-0.0580.015-0.0240.0030.1010.07-0.0360.112
UWAtmosNVIDIA9DLESyMS2Sv1150.0770.1490.012-0.024-0.010.020.0240.0030.0420.0820.0810.143
CliMA10CliMAWeather2210.0610.110.0230.008-0.002-0.0240.0170.0140.0470.0850.0640.152
CliMA10CliMAWeather220.0570.1010.0230.0150.005-0.0090.0180.0180.0570.0830.0540.122

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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