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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 4 forecasts initialized between Thursday 12th February 2026 and Thursday 5th March 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
MicroEnsemble1Huracan10.0910.1260.08-0.0240.0690.0560.0720.1190.0590.0980.0960.144
MicroEnsemble1MicroDuet40.080.1090.0780.0040.040.060.0760.0980.050.1010.0760.121
MicroEnsemble1StillLearning90.0670.0840.0790.0080.0310.0570.0750.0860.0230.0820.0690.118
CMAandFDU2FengshunHybrid20.090.1220.09-0.0160.0510.0570.0550.1360.0160.1060.0980.101
CMAandFDU2FengshunAdjust80.0680.0960.08-0.014-0.0290.0660.0560.0920.0080.1010.0760.06
CMAandFDU2Fengshun160.0290.0340.022-0.0060.0390.018-0.0280.087-0.0350.0330.0270.055
LP3LPM30.0870.1180.070.0030.0970.0610.0190.1350.0160.1120.0950.125
CLINT4CLINTMF50.0740.0960.058-0.0040.0970.064-0.0060.1450.040.0590.0720.138
CLINT4CLINTDD70.0710.0930.056-0.0020.0850.064-0.0080.1430.0480.0540.0670.135
CLINT4CLINTSE100.0570.0780.048-0.0150.0830.027-0.0220.1450.0270.0350.050.128
AIFS5AIFSgaia60.0740.0930.08-0.0220.070.0490.0270.1440.0060.1030.0860.086
AIFS5AIFSthalassa110.0510.0570.066-0.0080.0490.041-0.0380.189-0.030.0980.0530.017
AIFS5AIFShera120.0510.060.062-0.0350.0610.04-0.0540.146-0.0590.0580.0820.044
scienceAI6ngcm130.0360.0290.0690.0080.037-0.0190.0620.0710.038-0.0210.0750.039
scienceAI6zephyr150.0350.0270.062-0.0030.0120.0340.0660.0830.0340.00.0570.014
scienceAI6findforecast22-0.027-0.0660.01-0.03-0.0140.020.0280.003-0.032-0.099-0.024-0.068
SBUHybrid7HybridPPx140.0360.0160.0690.0010.108-0.00.0120.122-0.0670.0710.0490.011
SBUHybrid7HybridAC170.028-0.0010.0520.0080.1090.0260.0090.093-0.0610.0390.039-0.015
JR8slowMamba180.0280.0370.036-0.020.06-0.054-0.0120.1180.020.0370.0440.018
IgnisNeuralis429GCast42190.0260.0340.031-0.027-0.0220.050.0590.0090.0340.0080.0150.001
UWAtmosNVIDIA10DLESyMS2Sv1200.0250.0260.01-0.0620.0340.0690.0050.023-0.040.0640.0310.022
Team nameTeam rankModel nameModel rankGlobalTropicsNHem. ExTro.SHem. ExTro.NHem. PolarSHem. PolarEuropeN. Amer.S. Amer.AfricaAsiaOceania
CMAandFDU1FengshunHybrid10.0650.0940.059-0.0060.0260.0370.0450.0760.0120.0910.0820.065
CMAandFDU1FengshunAdjust70.0480.0820.0390.002-0.0360.0410.0480.0440.0080.0960.0480.062
CMAandFDU1Fengshun100.0380.050.036-0.0040.00.009-0.0380.1040.0040.0440.0180.079
MicroEnsemble2Huracan20.060.0880.052-0.0270.0450.0340.0320.0670.0270.0510.0880.078
MicroEnsemble2MicroDuet30.0540.0730.052-0.0020.0250.0410.0440.0470.0410.0460.070.068
MicroEnsemble2StillLearning90.0440.0570.046-0.00.0120.0330.0340.0370.030.0320.0630.068
LP3LPM40.0520.0880.026-0.0080.0260.03-0.0380.0720.0130.0680.0670.054
AIFS4AIFSgaia50.0510.0770.0380.0190.0160.0290.0020.093-0.00.0810.0490.055
AIFS4AIFShera110.0370.0480.0320.0110.0520.035-0.0330.102-0.0140.0170.0490.007
AIFS4AIFSthalassa21-0.011-0.0450.030.011-0.0070.017-0.0350.078-0.122-0.0390.011-0.036
CLINT5CLINTDD60.0490.0730.025-0.0170.0370.048-0.0160.0790.0080.0590.0550.054
CLINT5CLINTMF80.0480.0680.027-0.0220.0380.054-0.0180.082-0.00.0510.0570.052
CLINT5CLINTSE120.0330.0530.013-0.0290.0290.023-0.0270.063-0.0120.0360.0410.045
SBUHybrid6HybridPPx130.0310.0220.053-0.0230.082-0.006-0.0060.084-0.0360.0530.072-0.051
SBUHybrid6HybridAC190.014-0.0010.043-0.0240.050.0020.0180.051-0.020.0430.035-0.09
IgnisNeuralis427GCast42140.0260.0420.0190.013-0.0580.0330.025-0.0040.0310.0320.024-0.001
JR8slowMamba150.0250.0390.0360.0240.007-0.056-0.0260.0720.0020.0270.0580.045
scienceAI9ngcm160.020.0130.0390.0280.009-0.0120.0220.070.019-0.0350.0190.006
scienceAI9zephyr170.0190.0130.0360.011-0.0080.0170.0310.060.014-0.0310.017-0.014
scienceAI9findforecast23-0.028-0.0730.011-0.0-0.0010.0160.037-0.007-0.025-0.094-0.013-0.078
UWAtmosNVIDIA10DLESyMS2Sv1180.0160.03-0.009-0.0110.0140.026-0.0080.0190.0070.0510.019-0.005

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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