This page provides an overview of regional forecast skill for the MAM 2026 period. Forecast scores are updated automatically every week throughout the competitive period. The current data includes 1 forecasts initialized between Thursday 12th February 2026 and Thursday 12th February 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:

MAM 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
CLINT1CLINTMF10.1170.1880.097-0.0120.084-0.003-0.0270.2170.240.030.0740.235
CLINT1CLINTDD20.1120.1830.09-0.0030.062-0.001-0.0250.2090.2470.0230.0590.234
CLINT1CLINTSE60.10.1690.09-0.010.055-0.045-0.0540.2380.24-0.0090.0350.223
CMAandFDU2FengshunHybrid30.1090.180.0920.010.0160.0130.0210.170.1540.0670.0680.196
CMAandFDU2FengshunAdjust40.1080.1620.1070.0130.0060.0670.0610.1670.0820.0960.0740.145
CMAandFDU2Fengshun160.050.0490.036-0.0160.1640.0110.0080.1120.02-0.0850.0990.11
LP3LPM50.1060.1730.088-0.0120.0540.008-0.0350.160.1590.0630.0880.214
AIFS4AIFSgaia70.0980.1710.073-0.0650.028-0.006-0.0620.1710.1420.0120.0810.215
AIFS4AIFShera110.0850.1330.065-0.0650.074-0.009-0.0820.1390.0460.0640.0990.174
AIFS4AIFSthalassa120.0770.140.06-0.0480.016-0.035-0.0670.1920.0180.0480.0550.159
MicroEnsemble5Huracan80.0940.160.060.001-0.0050.0360.0020.160.1690.0360.0220.207
MicroEnsemble5MicroDuet90.0890.1560.0670.024-0.0360.0260.0170.1390.1290.10.0220.202
MicroEnsemble5StillLearning140.0670.1190.0740.023-0.0420.0030.030.1040.0950.0940.0180.2
JR6slowMamba100.0850.1430.06-0.0060.098-0.0730.0550.1770.105-0.0030.0630.144
scienceAI7zephyr130.0690.090.088-0.0270.0280.010.1020.1440.0870.0190.0570.115
scienceAI7ngcm150.0650.0680.108-0.0190.084-0.0370.1120.0920.072-0.0310.1260.12
scienceAI7findforecast24-0.019-0.0530.021-0.063-0.0460.0480.0210.028-0.048-0.086-0.031-0.033
IgnisNeuralis428GCast42170.0410.0420.069-0.0510.0150.0520.120.1080.027-0.0280.0160.043
UWAtmosNVIDIA9DLESyMS2Sv1180.030.0370.013-0.0640.0340.035-0.0330.073-0.080.010.0390.099
CliMA10CliMAWeather190.0190.0380.0060.0-0.0540.0240.0160.010.0490.041-0.0140.026
CliMA10CliMAWeather226-0.019-0.0290.013-0.001-0.0890.0080.073-0.019-0.0450.017-0.052-0.009
Team nameTeam rankModel nameModel rankGlobalTropicsNHem. ExTro.SHem. ExTro.NHem. PolarSHem. PolarEuropeN. Amer.S. Amer.AfricaAsiaOceania
CMAandFDU1FengshunAdjust10.0950.1470.0580.0580.0120.0780.0480.0710.0410.1470.1160.161
CMAandFDU1FengshunHybrid20.0860.1340.0530.0680.0280.0640.050.0840.0450.0980.1060.147
CMAandFDU1Fengshun130.040.084-0.0170.0710.0050.053-0.1560.1470.0350.059-0.0190.125
AIFS2AIFSgaia30.0670.080.0640.0270.0430.043-0.0020.123-0.0080.0630.0980.12
AIFS2AIFShera110.0420.0380.0490.0190.0530.0470.040.082-0.0220.0020.0830.05
AIFS2AIFSthalassa23-0.003-0.070.0630.0720.0060.0150.0170.077-0.161-0.0730.0550.041
MicroEnsemble3MicroDuet40.0660.110.0420.065-0.0230.0630.0530.0450.040.0480.0720.136
MicroEnsemble3Huracan50.0590.1040.0290.058-0.0030.0490.0050.0550.0150.0410.0760.146
MicroEnsemble3StillLearning90.0540.0820.0490.075-0.0260.0430.0540.0370.0260.0340.0770.139
CLINT4CLINTDD60.0580.0940.0230.0830.0130.018-0.0480.08-0.0120.0730.0610.143
CLINT4CLINTMF70.0580.0910.0310.0810.0110.012-0.0450.089-0.020.0690.0680.144
CLINT4CLINTSE120.040.086-0.0010.0860.001-0.018-0.070.07-0.0110.0550.030.141
JR5slowMamba80.0560.0650.0640.0880.082-0.0310.0610.117-0.0170.0580.070.112
LP6LPM100.0510.0970.0150.0560.0050.042-0.0180.0430.0220.0370.0710.112
UWAtmosNVIDIA7DLESyMS2Sv1140.0370.0410.023-0.0160.0570.0790.0440.0360.0260.0830.0250.045
scienceAI8zephyr150.0330.0280.0450.048-0.0070.0440.040.0810.008-0.0390.030.04
scienceAI8ngcm180.0170.0020.0570.0280.026-0.040.0380.069-0.033-0.0660.0580.038
scienceAI8findforecast25-0.025-0.0670.008-0.0-0.0230.040.0250.011-0.046-0.1-0.023-0.083
SBUHybrid9HybridPPx160.020.0540.002-0.02-0.001-0.013-0.0870.0870.0020.050.026-0.063
SBUHybrid9HybridAC24-0.0050.024-0.032-0.011-0.081-0.0-0.1320.0390.0210.041-0.029-0.124
IgnisNeuralis4210GCast42170.0190.0360.011-0.037-0.0810.110.024-0.013-0.0230.0520.015-0.001

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