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 9 forecasts initialized between Thursday 14th May 2026 and Thursday 9th 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
CMAandFDU1FengshunAdjust10.1490.2420.0460.090.0340.0920.0540.0770.2150.220.0940.234
CMAandFDU1FengshunHybrid40.1360.2210.040.0860.0270.0740.0530.0680.2110.1760.0890.235
CMAandFDU1Fengshun60.1320.2190.0280.0890.0250.0820.0440.0580.2170.1850.0820.193
LP2LPM20.1450.2480.0430.0790.0030.0720.0810.0630.2010.2040.10.251
AIFS3AIFSthalassa30.1390.2310.0220.1140.010.10.0330.0640.2110.1760.0810.219
AIFS3AIFShera50.1350.2220.0190.1130.0060.1120.0260.0670.2090.180.0730.199
AIFS3AIFSgaia110.1190.2040.0150.091-0.0060.080.0330.0440.1730.1380.0740.198
CLINT4CLINTMF70.1290.2170.030.0640.0210.070.0750.060.1820.170.0930.196
CLINT4CLINTDD80.1290.2170.030.0620.0230.0640.0740.0570.1820.1690.0950.2
CLINT4CLINTSE180.0880.176-0.0210.013-0.0180.0670.0420.020.1330.0960.0410.158
MicroEnsemble5MicroDuet90.1270.2110.0390.0830.0260.0650.0570.0720.1880.160.0850.228
MicroEnsemble5StillLearning100.1240.2020.0420.0780.030.060.0550.0740.1860.150.0910.22
MicroEnsemble5Huracan140.0940.1710.0080.0930.0040.0130.0410.0390.1590.0890.0540.197
SBUHybrid6HybridStillDeveloping120.1160.2020.0340.0570.0150.0260.0380.0410.1490.1720.0880.204
SBUHybrid6HybridPPx170.0910.1590.0240.0490.0010.0240.0170.0020.0960.1480.070.17
SBUHybrid6HybridAC240.0740.1230.0270.0470.0030.0260.023-0.0040.0660.1190.0370.162
MetaCarbon30607PuyunEnsemble130.0990.1870.0040.020.0230.0380.0220.0220.1270.1550.080.176
MetaCarbon30607PuyunWeather160.0910.175-0.0040.0190.0190.0380.0320.0310.0980.1330.0680.197
MetaCarbon30607PuyunLDM200.0820.17-0.0180.0130.0110.032-0.0060.0060.1080.1380.060.168
UWAtmosNVIDIA8DLESyMS2Sv1150.0930.1630.0070.0590.0120.0430.0190.0140.1380.0990.0680.16
scienceAI9zephyr190.0860.1390.0260.0390.0170.0320.0470.0340.0860.090.0710.136
scienceAI9ngcm210.080.1330.0260.0460.0010.0130.0330.0330.0720.0940.060.131
scienceAI9findforecast320.0330.0510.0230.010.023-0.0030.0050.0150.0520.070.0350.014
Arcana10ArcanaSpherical220.0790.154-0.0330.016-0.0080.096-0.030.0280.1360.107-0.0080.156
Arcana10ArcanaSphericalv2230.0760.167-0.0480.016-0.0320.041-0.042-0.0030.1390.104-0.0090.206
Team nameTeam rankModel nameModel rankGlobalTropicsNHem. ExTro.SHem. ExTro.NHem. PolarSHem. PolarEuropeN. Amer.S. Amer.AfricaAsiaOceania
CMAandFDU1FengshunAdjust10.1420.2340.0590.0580.0270.060.0650.0860.2120.20.0910.198
CMAandFDU1FengshunHybrid30.1290.2120.0540.0630.0220.0440.0640.070.2220.1480.0870.21
CMAandFDU1Fengshun40.1240.210.0430.0420.0190.0460.0510.0740.2050.1650.0790.146
LP2LPM20.1330.2350.0450.053-0.0060.030.0690.0480.2160.1630.1030.224
CLINT3CLINTDD50.120.2050.0390.0480.0190.0340.0660.0480.20.1280.0980.19
CLINT3CLINTMF60.120.2060.0380.0450.0160.0360.0660.0460.2020.1270.0990.187
CLINT3CLINTSE190.0790.162-0.0130.002-0.0110.0430.0170.010.1680.040.0540.153
MicroEnsemble4MicroDuet70.1170.20.0430.0510.0120.040.0520.060.1890.1280.0860.201
MicroEnsemble4StillLearning80.1140.1910.0470.0530.0120.0310.0490.0620.190.1240.0920.195
MicroEnsemble4Huracan160.0850.1670.0130.054-0.017-0.020.040.0270.1760.0580.0560.178
AIFS5AIFSthalassa90.1130.1980.0170.072-0.0010.0550.0190.0430.1960.1240.0670.156
AIFS5AIFShera100.1070.1940.0090.0610.0020.0480.0130.030.1790.1250.0710.152
AIFS5AIFSgaia140.0970.1770.0110.051-0.0180.0390.0160.0360.1790.1110.0480.109
SBUHybrid6HybridStillDeveloping110.1040.1910.0290.030.005-0.0010.0340.040.1660.1440.0780.169
SBUHybrid6HybridPPx150.0940.1750.0210.041-0.013-0.0120.010.0110.1440.1230.0810.162
SBUHybrid6HybridAC200.0780.1420.0170.033-0.004-0.0170.007-0.0090.1130.0930.0610.146
MetaCarbon30607PuyunEnsemble120.0980.1720.0230.041-0.0180.0460.0280.040.1870.1210.0410.165
MetaCarbon30607PuyunWeather130.0980.1710.0260.042-0.00.030.0540.0380.1750.0950.0610.14
MetaCarbon30607PuyunLDM220.0720.143-0.0080.029-0.0370.033-0.0040.0250.1620.097-0.0050.142
scienceAI8zephyr170.0830.1370.0280.0180.0170.0320.050.0440.1010.0840.0690.114
scienceAI8ngcm210.0760.1260.030.0280.0040.0090.0380.0380.0860.0840.0550.109
scienceAI8findforecast320.0330.0560.028-0.00.018-0.0270.0160.0130.0540.0710.0370.022
UWAtmosNVIDIA9DLESyMS2Sv1180.0810.1490.0140.018-0.0030.0090.0150.0260.1350.0710.0520.127
CliMA10CliMAWeather2230.0650.1180.020.012-0.004-0.0060.030.0150.0750.0820.0550.129
CliMA10CliMAWeather240.0630.1120.0220.0160.0010.0040.0260.020.0840.0850.0490.112

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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