This page provides an overview of regional forecast skill for the DJF 2025 period. Forecast scores are updated automatically every week throughout the competitive period. The current data includes 4 forecasts initialized between Thursday 13th November 2025 and Thursday 4th December 2025 (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:

DJF 2025 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
MicroEnsemble1MicroDuet10.0820.0930.0960.070.030.0710.0370.0930.0120.1460.1080.011
MicroEnsemble1StillLearning20.0810.0840.1050.0750.0340.0810.0420.0960.0120.1440.1080.001
MicroEnsemble1Huracan30.0660.0610.0910.0290.0460.0580.0110.116-0.0250.1120.091-0.001
AIFS2AIFSthalassa40.0610.0290.1060.060.0940.0570.0340.108-0.0290.0350.1210.027
AIFS2AIFSgaia60.060.0350.1170.0170.080.0370.0340.137-0.0360.0860.106-0.032
AIFS2AIFShera70.0520.0140.111-0.0070.0840.0880.0320.125-0.0620.0860.105-0.089
LP3LPM50.0610.0580.0920.0330.0380.07-0.0080.125-0.0230.1210.07-0.005
CMAandFDU4FengshunHybrid80.0320.0170.064-0.0050.0560.040.0170.048-0.0290.0860.082-0.075
CMAandFDU4FengshunAdjust100.0140.0120.038-0.0170.029-0.0240.0180.011-0.0250.0770.057-0.07
CMAandFDU4Fengshun110.009-0.0120.05-0.0050.04-0.060.042-0.017-0.0070.0770.062-0.082
UWAtmosNVIDIA5DLESyMS2Sv190.0190.0160.0280.030.0010.032-0.0120.007-0.0110.0450.047-0.018
JR6slowMamba120.007-0.0080.0370.0070.047-0.014-0.0040.019-0.0330.0630.037-0.114
CliMA7CliMAWeather2130.0060.0110.020.0060.006-0.0590.021-0.015-0.0150.0390.042-0.057
CliMA7CliMAWeather22-0.029-0.041-0.013-0.03-0.035-0.005-0.012-0.033-0.1-0.033-0.008-0.06
IgnisNeuralis428GCast42140.0040.024-0.005-0.015-0.02-0.0230.02-0.032-0.0050.0440.025-0.042
CelestScience9Tellus150.0-0.00.0-0.00.00.00.00.0-0.0-0.00.0-0.0
KITKangu9KanguS2SEasyUQ150.0-0.00.0-0.00.00.00.00.0-0.0-0.00.0-0.0
KITKangu9KanguPlusPlus150.0-0.00.0-0.00.00.00.00.0-0.0-0.00.0-0.0
KITKangu9KanguParametricPrediction150.0-0.00.0-0.00.00.00.00.0-0.0-0.00.0-0.0
Team nameTeam rankModel nameModel rankGlobalTropicsNHem. ExTro.SHem. ExTro.NHem. PolarSHem. PolarEuropeN. Amer.S. Amer.AfricaAsiaOceania
MicroEnsemble1MicroDuet10.0570.0580.080.0350.0250.0540.0240.0670.0030.1130.091-0.044
MicroEnsemble1StillLearning20.0560.0560.080.0360.030.0580.0220.0680.0040.1190.088-0.046
MicroEnsemble1Huracan30.0440.0220.093-0.0030.0360.0360.0260.095-0.0360.0520.09-0.071
LP2LPM40.0350.0240.0710.0050.0410.030.0020.0780.0020.0690.066-0.075
AIFS3AIFSgaia50.02-0.0240.1-0.0080.050.0180.060.094-0.0540.0520.078-0.113
AIFS3AIFShera70.013-0.0330.087-0.0320.0630.0420.0670.06-0.0650.060.08-0.145
AIFS3AIFSthalassa20-0.022-0.1040.069-0.0160.050.0130.0270.069-0.164-0.0620.051-0.109
CliMA4CliMAWeather260.0150.0040.0310.011-0.0040.0440.0270.008-0.0420.0080.0430.006
CliMA4CliMAWeather21-0.033-0.049-0.009-0.042-0.0510.03-0.001-0.047-0.11-0.017-0.009-0.039
IgnisNeuralis425GCast4280.0090.023-0.0060.006-0.0320.005-0.024-0.0240.0090.0340.017-0.024
CMAandFDU6FengshunHybrid90.001-0.0390.044-0.0230.0320.060.010.029-0.0730.0210.038-0.109
CMAandFDU6FengshunAdjust15-0.006-0.0360.038-0.0260.0170.0190.0030.014-0.030.0430.036-0.127
CMAandFDU6Fengshun16-0.009-0.0280.011-0.0230.037-0.029-0.038-0.039-0.036-0.0080.062-0.072
CelestScience7Tellus100.0-0.00.0-0.00.00.00.00.0-0.0-0.00.0-0.0
KITKangu7KanguS2SEasyUQ100.0-0.00.0-0.00.00.00.00.0-0.0-0.00.0-0.0
KITKangu7KanguPlusPlus100.0-0.00.0-0.00.00.00.00.0-0.0-0.00.0-0.0
KITKangu7KanguParametricPrediction100.0-0.00.0-0.00.00.00.00.0-0.0-0.00.0-0.0
UWAtmosNVIDIA9DLESyMS2Sv114-0.003-0.020.0360.002-0.0310.0080.00.019-0.0280.030.017-0.064
scienceAI10zephyr17-0.009-0.0340.0120.0110.0070.0340.010.012-0.027-0.022-0.007-0.065
scienceAI10findforecast18-0.009-0.0170.007-0.005-0.021-0.005-0.032-0.002-0.007-0.022-0.013-0.041
scienceAI10ngcm23-0.038-0.0740.0060.0010.005-0.0690.002-0.008-0.033-0.059-0.029-0.068

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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