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 12 forecasts initialized between Thursday 14th May 2026 and Thursday 30th 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
CMAandFDU1FengshunAdjust10.1670.2780.0540.0760.0350.0870.0680.090.2290.2690.1060.25
CMAandFDU1FengshunHybrid40.1550.2580.0470.0750.0280.0780.0650.0820.2230.2280.10.257
CMAandFDU1Fengshun70.1510.2550.0340.0720.0290.0820.0570.0750.2250.2390.0920.199
LP2LPM20.1670.2830.0570.080.010.0690.090.0870.2190.250.120.275
AIFS3AIFSthalassa30.1620.2680.0380.1190.0160.1010.0540.090.2350.2290.0960.235
AIFS3AIFShera50.1550.2580.0310.1090.0090.1070.0440.090.2320.230.0830.213
AIFS3AIFSgaia110.1410.2370.0260.1110.0070.0880.050.0680.1960.1910.0830.21
CLINT4CLINTMF60.1540.2580.0460.0680.0210.070.0910.0860.2030.2230.1080.229
CLINT4CLINTDD90.1470.2530.0370.0650.0140.0590.0860.0720.1990.2160.10.236
CLINT4CLINTSE180.1130.215-0.0040.024-0.0170.0760.0590.0460.1560.150.060.193
MicroEnsemble5MicroDuet80.1490.2440.0540.0830.0290.0630.0730.0930.2040.2030.1030.255
MicroEnsemble5StillLearning100.1450.2340.0580.080.0320.0650.0730.0930.2010.1920.1120.247
MicroEnsemble5Huracan150.1190.2120.0230.0920.0050.0130.0580.0610.1830.1440.0710.228
SBUHybrid6HybridStillDeveloping120.1320.2330.0370.0490.0150.0260.0370.0610.1710.2030.0990.211
SBUHybrid6HybridPPx210.1050.1920.020.0420.0020.0170.020.010.1260.1890.0710.166
SBUHybrid6HybridAC240.0880.1520.0240.0380.0080.0270.029-0.0010.0850.1530.0410.157
MetaCarbon30607PuyunEnsemble130.1320.2310.030.0430.0270.0490.0510.0560.1540.2080.1020.216
MetaCarbon30607PuyunWeather140.1260.2250.0210.0380.0260.0390.0570.0640.1410.20.090.228
MetaCarbon30607PuyunLDM160.1180.2180.0120.0340.0190.0420.0270.0430.140.1950.0870.206
Arcana8ArcanaSpherical170.1180.214-0.0030.0230.0010.10.0020.0560.1680.1910.040.185
Arcana8ArcanaSphericalv2190.1110.219-0.0220.026-0.0150.053-0.0140.030.1730.1760.030.23
UWAtmosNVIDIA9DLESyMS2Sv1200.1080.190.0110.0550.0070.0510.0210.0280.1590.1230.0750.172
scienceAI10zephyr220.1020.1650.030.0360.0180.0470.0540.0510.110.1250.0790.144
scienceAI10ngcm230.0930.1560.030.0380.0050.0090.0320.0490.0930.1270.070.133
scienceAI10findforecast290.0380.060.0270.0010.0170.00.0050.0180.0560.0830.0380.023
Team nameTeam rankModel nameModel rankGlobalTropicsNHem. ExTro.SHem. ExTro.NHem. PolarSHem. PolarEuropeN. Amer.S. Amer.AfricaAsiaOceania
CMAandFDU1FengshunAdjust10.1630.2760.0610.050.030.0540.060.1030.2210.2580.1070.228
CMAandFDU1FengshunHybrid30.1520.2550.0570.0540.0230.0510.0570.0890.2230.2110.1030.242
CMAandFDU1Fengshun50.1460.2520.0450.0340.0210.050.0470.0950.2040.2320.0930.168
LP2LPM20.1590.2780.0560.060.0020.0310.0680.0790.2320.2260.1210.252
CLINT3CLINTMF40.1470.2520.0490.0490.0180.0360.0710.0810.2130.1980.1130.219
CLINT3CLINTDD90.1330.2430.0290.046-0.0050.0340.060.0640.2130.1840.0870.21
CLINT3CLINTSE180.1050.2050.0030.014-0.0180.0450.0320.0470.1780.1120.0660.185
MicroEnsemble4MicroDuet60.1410.240.0510.0540.0170.0350.0520.0840.2050.1820.1060.231
MicroEnsemble4StillLearning70.1370.2280.0570.0530.0210.0350.050.0840.2060.1740.1130.222
MicroEnsemble4Huracan150.1140.2150.0220.056-0.014-0.0160.0420.0520.1960.1340.0730.21
AIFS5AIFSthalassa80.1360.240.0240.0660.0040.0560.0220.0680.1980.1830.0830.195
AIFS5AIFShera110.1320.2380.0170.0550.0030.0480.0110.0610.1920.1880.0840.189
AIFS5AIFSgaia140.1180.2140.0160.052-0.010.0420.0210.0590.1750.160.0610.154
MetaCarbon30606PuyunEnsemble100.1320.2280.0380.053-0.0030.0440.0330.0730.2070.1940.0750.206
MetaCarbon30606PuyunWeather120.1310.2270.0360.0510.0090.0270.0480.0680.2060.1780.0880.183
MetaCarbon30606PuyunLDM170.1130.2050.0140.042-0.0160.0340.0080.0610.1870.1750.040.188
SBUHybrid7HybridStillDeveloping130.1250.2260.0350.0270.010.0050.0310.0640.180.1950.0930.18
SBUHybrid7HybridPPx160.1140.2110.020.029-0.003-0.0110.0090.0260.1610.1770.0940.16
SBUHybrid7HybridAC230.0850.1570.010.0180.006-0.0120.005-0.0110.1010.1330.060.141
scienceAI8zephyr190.10.1650.030.0210.020.0420.0470.0560.1080.1170.0770.142
scienceAI8ngcm220.090.1520.0350.0250.0080.0060.0310.0570.0970.1190.0640.125
scienceAI8findforecast290.0410.0680.029-0.0030.017-0.0170.0060.0240.0620.0850.0410.028
UWAtmosNVIDIA9DLESyMS2Sv1200.0980.1790.0170.021-0.0050.0170.0050.0450.1460.0980.0650.156
Arcana10ArcanaSpherical210.0940.198-0.0240.002-0.0480.031-0.0010.0240.1230.1930.0090.186
Arcana10ArcanaSphericalv2240.0850.19-0.042-0.003-0.0580.02-0.0290.0310.1390.151-0.0120.179

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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