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 3 forecasts initialized between Thursday 12th February 2026 and Thursday 26th 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
CMAandFDU1FengshunHybrid10.0870.1170.0780.0060.0520.0770.0440.1250.0360.0670.0830.144
CMAandFDU1FengshunAdjust50.0770.1050.080.001-0.0160.0890.0590.0880.0280.0970.0780.098
CMAandFDU1Fengshun150.0370.0360.0240.0110.0760.0320.0030.085-0.0190.0220.0430.088
AIFS2AIFSgaia20.0830.1040.081-0.0150.060.0780.0090.1530.010.0610.0910.143
AIFS2AIFSthalassa80.0660.0790.0640.0150.0540.05-0.0340.179-0.0240.0650.0780.081
AIFS2AIFShera110.0520.0590.054-0.020.0570.047-0.0780.128-0.0630.00.0980.097
MicroEnsemble3Huracan30.080.1140.057-0.0060.0510.0720.0450.1010.070.0540.0610.173
MicroEnsemble3MicroDuet60.0750.1050.0650.0150.0240.0710.0540.0850.060.0610.0550.16
MicroEnsemble3StillLearning100.0570.0710.0680.0190.0210.0660.060.0650.0230.0360.0530.156
LP4LPM40.0790.1080.0540.0150.0750.07-0.0140.1140.0260.0520.0780.168
CLINT5CLINTDD70.0660.0910.0410.0170.0660.065-0.0190.1280.066-0.0150.0450.181
CLINT5CLINTMF90.0640.0880.0390.0090.0730.066-0.0270.1230.055-0.0180.0460.18
CLINT5CLINTSE120.050.0720.0330.0040.060.023-0.0340.1330.049-0.0430.0230.173
scienceAI6zephyr130.0430.0390.0560.0030.0310.0410.0770.0860.0480.0130.050.035
scienceAI6ngcm140.0390.0330.0650.0140.061-0.0150.0790.0630.045-0.0180.0770.061
scienceAI6findforecast23-0.026-0.0630.008-0.033-0.0250.0280.0270.006-0.033-0.097-0.03-0.066
JR7slowMamba160.0340.0490.033-0.0040.065-0.052-0.0140.1290.0440.0330.0350.067
IgnisNeuralis428GCast42170.0290.0340.036-0.0260.0020.0620.0930.0210.0380.0090.0130.009
UWAtmosNVIDIA9DLESyMS2Sv1180.0280.0310.017-0.0610.0230.0740.0320.022-0.0430.040.0270.059
SBUHybrid10HybridPPx190.020.0020.0350.010.089-0.007-0.0260.088-0.0540.0240.0190.022
SBUHybrid10HybridAC210.005-0.0240.0130.0090.0710.025-0.0370.05-0.046-0.002-0.001-0.03
Team nameTeam rankModel nameModel rankGlobalTropicsNHem. ExTro.SHem. ExTro.NHem. PolarSHem. PolarEuropeN. Amer.S. Amer.AfricaAsiaOceania
CMAandFDU1FengshunHybrid10.0550.0740.05-0.010.0190.0460.0470.069-0.0040.0730.0710.067
CMAandFDU1Fengshun50.0380.0560.022-0.01-0.00.028-0.0480.1060.0010.0630.0120.075
CMAandFDU1FengshunAdjust70.0360.0680.029-0.018-0.0650.0470.0390.041-0.0120.0970.0280.036
MicroEnsemble2Huracan20.0490.070.042-0.0480.0430.0350.0430.0590.0320.0310.0730.087
MicroEnsemble2MicroDuet40.0410.0530.042-0.0170.0170.0420.0530.0330.0330.0230.0550.063
MicroEnsemble2StillLearning110.030.0340.039-0.0130.0080.0320.0480.0230.020.0050.0510.059
LP3LPM30.0430.0640.02-0.0070.0410.039-0.0270.064-0.0130.0450.060.065
CLINT4CLINTDD60.0370.0520.011-0.0170.0410.042-0.010.069-0.0140.0290.0410.087
CLINT4CLINTMF90.0350.0460.013-0.0220.0450.046-0.0130.072-0.0250.0220.0440.083
CLINT4CLINTSE150.0180.03-0.003-0.0260.0320.009-0.020.052-0.0380.0030.0240.082
AIFS5AIFSgaia80.0360.050.028-0.00.010.038-0.0070.089-0.0330.0710.0270.03
AIFS5AIFShera160.0180.010.03-0.0250.0590.032-0.020.092-0.051-0.0160.041-0.034
AIFS5AIFSthalassa21-0.018-0.0660.0350.0120.0010.022-0.0220.08-0.143-0.0530.019-0.057
IgnisNeuralis426GCast42100.030.0490.021-0.008-0.0570.0510.039-0.0130.0390.0620.028-0.008
SBUHybrid7HybridPPx120.0240.0120.043-0.0290.081-0.002-0.0140.064-0.0470.0560.06-0.044
SBUHybrid7HybridAC190.004-0.0130.029-0.0240.0250.006-0.0020.022-0.0270.0310.022-0.063
JR8slowMamba130.0220.0380.0210.0010.012-0.054-0.0140.0720.0070.0160.0460.037
UWAtmosNVIDIA9DLESyMS2Sv1140.0190.036-0.008-0.0350.010.03-0.0020.0270.0040.0720.013-0.018
scienceAI10zephyr170.0160.0110.034-0.006-0.0130.0220.0460.0570.015-0.0210.01-0.025
scienceAI10ngcm180.0140.0090.0330.0050.004-0.0120.0320.0650.029-0.0340.011-0.018
scienceAI10findforecast22-0.03-0.0730.008-0.017-0.0050.0060.035-0.01-0.024-0.095-0.018-0.088

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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