You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 44 Next »

This page provides an overview of regional forecast skill for the SON 2025 period. Forecast scores are updated automatically every week throughout the competitive period. The current data includes 4 forecasts initialized between Thursday 14th August 2025 and Thursday 4th September 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:

SON 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
CMAandFDU1FengshunAdjust10.0720.1410.0280.001-0.013-0.0330.0230.0290.130.10.0640.114
CMAandFDU1FengshunHybrid30.0680.1220.036-0.0020.013-0.0130.0190.0410.0660.0960.0760.092
CMAandFDU1Fengshun100.0190.0490.001-0.0260.011-0.0460.01-0.0080.024-0.0020.0560.031
MicroEnsemble2MicroDuet20.0720.110.0460.0330.0280.0150.0490.0320.0570.0690.0780.117
MicroEnsemble2StillLearning40.0680.1030.0480.0270.0230.0070.0580.0260.0520.0950.0710.113
MicroEnsemble2Huracan90.0290.0310.0350.0130.0130.0030.0340.027-0.024-0.0320.0490.047
LP3LPM50.0530.0740.0480.0430.02-0.0150.0220.0420.040.0260.0710.068
AIFS4AIFSgaia60.0470.0730.043-0.0130.019-0.030.0530.0040.0410.0530.072-0.014
AIFS4AIFShera70.0450.0590.047-0.0140.021-0.0030.0260.0040.0560.0220.080.035
AIFS4AIFSthalassa80.0360.0570.03-0.0340.023-0.0220.013-0.0030.0190.0230.067-0.008
scienceAI5findforecast110.003-0.00.0060.0010.0010.012-0.010.01-0.002-0.0020.004-0.002
scienceAI5zephyr12-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0
scienceAI5ngcm12-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0
KITKangu6KanguPlusPlus12-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0
KITKangu6KanguParametricPrediction12-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0
KITKangu6KanguS2SEasyUQ35-1.306-1.415-1.228-1.346-1.062-1.168-1.159-1.208-1.46-1.342-1.225-1.72
CliMA7CliMAWeather216-0.135-0.143-0.164-0.157-0.113-0.02-0.098-0.161-0.151-0.189-0.149-0.096
CliMA7CliMAWeather17-0.159-0.194-0.157-0.265-0.122-0.043-0.127-0.172-0.208-0.228-0.17-0.197
WindBorne8WeatherMesh18-0.196-0.161-0.206-0.295-0.192-0.36-0.2-0.223-0.185-0.189-0.202-0.205
FengWuW2S9FengWu219-0.223-0.176-0.367-0.084-0.262-0.087-0.326-0.119-0.088-0.3-0.443-0.214
FengWuW2S9FengWu21-0.264-0.34-0.247-0.156-0.128-0.172-0.19-0.187-0.367-0.444-0.334-0.25
NordicS2S10NordicS2S120-0.232-0.159-0.259-0.321-0.192-0.424-0.237-0.201-0.227-0.185-0.168-0.236
NordicS2S10NordicS2S323-0.362-0.383-0.344-0.389-0.266-0.495-0.298-0.297-0.469-0.444-0.29-0.455
NordicS2S10NordicS2S226-0.525-0.576-0.494-0.502-0.384-0.53-0.319-0.614-0.695-0.485-0.418-0.664
Team nameTeam rankModel nameModel rankGlobalTropicsNHem. ExTro.SHem. ExTro.NHem. PolarSHem. PolarEuropeN. Amer.S. Amer.AfricaAsiaOceania
CMAandFDU1FengshunAdjust10.0580.1090.0150.006-0.0070.017-0.0120.0490.0880.0880.0310.082
CMAandFDU1FengshunHybrid40.0430.0790.0140.01-0.0220.022-0.020.0390.0530.0530.0230.037
CMAandFDU1Fengshun70.0090.0230.0160.0070.002-0.034-0.0010.0150.003-0.0120.035-0.021
MicroEnsemble2MicroDuet20.0530.098-0.0010.047-0.0010.018-0.0220.0340.10.0640.0270.09
MicroEnsemble2StillLearning30.0490.096-0.0040.035-0.0050.008-0.0220.0180.0860.0860.0230.103
MicroEnsemble2Huracan80.0090.024-0.0210.037-0.015-0.013-0.0360.0220.047-0.027-0.0160.003
LP3LPM50.0270.052-0.0040.008-0.001-0.001-0.0430.0410.0440.0230.0210.003
AIFS4AIFSgaia60.0270.0480.02-0.016-0.008-0.001-0.0260.0390.0730.0120.026-0.035
AIFS4AIFShera90.0040.010.005-0.031-0.004-0.008-0.029-0.0020.056-0.0090.01-0.033
AIFS4AIFSthalassa15-0.006-0.0270.011-0.021-0.0020.022-0.0220.030.014-0.1070.011-0.065
scienceAI5findforecast100.0020.001-0.0010.013-0.0050.014-0.0150.0110.003-0.003-0.0020.008
scienceAI5zephyr11-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0
scienceAI5ngcm11-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0
KITKangu6KanguPlusPlus11-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0
KITKangu6KanguParametricPrediction11-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.0
KITKangu6KanguS2SEasyUQ35-1.351-1.471-1.254-1.257-1.008-1.337-1.196-1.421-1.412-1.552-1.146-1.458
CliMA7CliMAWeather216-0.214-0.242-0.288-0.188-0.113-0.047-0.166-0.178-0.225-0.35-0.274-0.226
CliMA7CliMAWeather18-0.238-0.286-0.225-0.234-0.238-0.137-0.217-0.14-0.252-0.387-0.297-0.26
FengWuW2S8FengWu217-0.236-0.257-0.3670.007-0.1490.047-0.128-0.211-0.128-0.332-0.45-0.26
FengWuW2S8FengWu20-0.287-0.393-0.273-0.081-0.11-0.133-0.108-0.228-0.392-0.517-0.343-0.299
NordicS2S9NordicS2S119-0.275-0.251-0.263-0.312-0.302-0.329-0.383-0.161-0.273-0.352-0.267-0.312
NordicS2S9NordicS2S325-0.498-0.643-0.302-0.31-0.395-0.526-0.463-0.306-0.605-0.699-0.384-0.683
NordicS2S9NordicS2S228-0.575-0.603-0.587-0.592-0.498-0.563-0.677-0.482-0.707-0.677-0.526-0.537
HAPPY10AZN21-0.34-0.419-0.278-0.878-0.31-0.023-0.25-0.292-0.598-0.3-0.31-0.798

Figures showing aggregated RPSSs for best-performing model from top 10 teams

Figures showing percentage of grid points with positive period-aggregated RPSSs

Figures showing observed conditions with respect to defined ERA5 climatology

  • No labels