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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 3 4 forecasts initialized between Thursday 12th February 2026 and Thursday 26th February 5th March 2026 (inclusive). For a detailed description of the outputs, please refer to the section's overview.

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titleForecast window 1 (days 19 to 25)
Team nameTeam rankModel nameModel rankGlobalTropicsNHem. ExTro.SHem. ExTro.NHem. PolarSHem. PolarEuropeN. Amer.S. Amer.AfricaAsiaOceania
CMAandFDUMicroEnsemble1FengshunHybridHuracan10.0870910.1171260.07808-0.0060240.0520690.0770560.0440720.1251190.0360590.0670980.0830960.144
CMAandFDUMicroEnsemble1FengshunAdjustMicroDuet540.077080.1051090.080780.001004-0.016040.089060.0590760.0880980.028050.0971010.0780760.098121
CMAandFDUMicroEnsemble1FengshunStillLearning1590.0370670.0360840.0240790.0110080.0760310.0320570.0030750.085086-0.0190230.0220820.0430690.088118
AIFSCMAandFDU2AIFSgaiaFengshunHybrid20.083090.1041220.08109-0.0150160.060510.0780570.0090550.1531360.010160.0611060.0910980.143101
AIFSCMAandFDU2AIFSthalassaFengshunAdjust80.0660680.0790960.06408-0.015014-0.0540290.05066-0.0340560.179092-0.0240080.0651010.0780760.08106
AIFSCMAandFDU2AIFSheraFengshun11160.0520290.0590340.054022-0.020060.0570390.047018-0.0780280.128087-0.0630350.00330.0980270.097055
MicroEnsembleLP3HuracanLPM30.080870.1141180.05707-0.0060030.0510970.0720610.0450190.1011350.070160.0541120.0610950.173125
MicroEnsembleCLINT34MicroDuetCLINTMF650.0750740.1050960.065058-0.0150040.0240970.071064-0.0540060.0851450.06040.0610590.0550720.16138
MicroEnsembleCLINT34StillLearningCLINTDD1070.0570710.0710930.068056-0.0190020.0210850.066064-0.060080.0651430.0230480.0360540.0530670.156135
LPCLINT4LPMCLINTSE4100.0790570.1080780.054048-0.0150.0750830.07027-0.0140220.1141450.0260270.0520350.078050.168128
CLINTAIFS5CLINTDDAIFSgaia760.0660740.0910930.04108-0.0170220.066070.065049-0.0190270.1281440.066006-0.0151030.0450860.181086
CLINTAIFS5CLINTMFAIFSthalassa9110.0640510.0880570.039066-0.0090080.0730490.066041-0.0270380.123189-0.05503-0.0180980.0460530.18017
CLINTAIFS5CLINTSEAIFShera120.050510.072060.033062-0.0040350.060610.02304-0.0340540.133146-0.049059-0.0430580.0230820.173044
scienceAI6zephyrngcm130.0430360.0390290.0560690.0030080.031037-0.0410190.0770620.0860710.048038-0.0130210.050750.035039
scienceAI6ngcmzephyr14150.0390350.0330270.065062-0.0140030.061012-0.0150340.0790660.0630830.045034-0.01800.0770570.061014
scienceAI6findforecast2322-0.026027-0.0630660.00801-0.03303-0.0250140.028020.0270280.006003-0.033032-0.097099-0.03024-0.066068
JRSBUHybrid7slowMambaHybridPPx16140.0340360.0490160.033069-0.0040010.065108-0.0520-0.0140120.129122-0.0440670.0330710.0350490.067011
IgnisNeuralis42SBUHybrid87GCast42HybridAC170.029028-0.0340010.036052-0.0260080.0021090.0620260.0930090.021093-0.0380610.0090390.013039-0.009015
UWAtmosNVIDIAJR98DLESyMS2Sv1slowMamba180.0280.0310370.017036-0.061020.02306-0.074054-0.0320120.022118-0.043020.040370.0270440.059018
SBUHybridIgnisNeuralis42109HybridPPxGCast42190.020260.0020340.035031-0.01027-0.089022-0.00705-0.0260590.088009-0.0540340.0240080.0190150.022001
SBUHybridUWAtmosNVIDIA10HybridACDLESyMS2Sv121200.005025-0.0240260.01301-0.0090620.0710340.025069-0.0370050.05023-0.04604-0.002064-0.001031-0.03022
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titleForecast window 2 (days 26 to 32)
Team nameTeam rankModel nameModel rankGlobalTropicsNHem. ExTro.SHem. ExTro.NHem. PolarSHem. PolarEuropeN. Amer.S. Amer.AfricaAsiaOceania
CMAandFDU1FengshunHybrid10.0550650.0740940.05059-0.010060.0190260.0460370.0470450.069076-0.0040120.0730910.0710820.067065
CMAandFDU1FengshunFengshunAdjust570.0380480.0560820.022039-0.01002-0.00360.028041-0.0480.1060440.0010080.0630960.0120480.075062
CMAandFDU1FengshunAdjustFengshun7100.0360380.068050.029036-0.018004-0.06500.047009-0.0390380.041104-0.0120040.0970440.0280180.036079
MicroEnsemble2Huracan20.049060.070880.042052-0.0480270.0430450.0350340.0430320.0590670.0320270.0310510.0730880.087078
MicroEnsemble2MicroDuet430.0410540.0530730.042052-0.0170020.0170250.0420410.0530440.0330470.0330410.0230460.055070.063068
MicroEnsemble2StillLearning1190.030440.0340570.039046-0.01300.0080120.0320330.0480340.0230370.02030.0050320.0510630.059068
LP3LPM340.0430520.0640880.02026-0.0070080.0410260.03903-0.0270380.064072-0.0130.0450680.060670.065054
CLINTAIFS4CLINTDDAIFSgaia650.0370510.0520770.011038-0.0170190.0410160.042029-0.010020.069093-0.01400.0290810.0410490.087055
CLINTAIFS4CLINTMFAIFShera9110.0350370.0460480.013032-0.0220110.0450520.046035-0.0130330.072102-0.0250140.0220170.0440490.083007
CLINTAIFS4CLINTSEAIFSthalassa1521-0.018011-0.03045-0.00303-0.026011-0.0320070.009017-0.020350.052078-0.038122-0.0030390.024011-0.082036
AIFSCLINT5AIFSgaiaCLINTDD860.0360490.050730.028025-0.00170.010370.038048-0.0070160.089079-0.0330080.0710590.0270550.03054
AIFSCLINT5AIFSheraCLINTMF1680.0180480.010680.03027-0.0250220.0590380.032054-0.020180.092082-0.0510-0.0160510.041057-0.034052
AIFSCLINT5AIFSthalassaCLINTSE2112-0.018033-0.0660530.035013-0.0120290.0010290.022023-0.0220270.08063-0.143012-0.0530360.019041-0.057045
IgnisNeuralis42SBUHybrid6GCast42HybridPPx10130.030310.0490220.021053-0.008023-0.057082-0.051006-0.039006-0.013084-0.0390360.0620530.028072-0.008051
SBUHybrid76HybridPPxHybridAC12190.024014-0.0120010.043-0.0290240.08105-0.002-0.0140180.064051-0.047020.0560430.06035-0.04409
SBUHybridIgnisNeuralis427HybridACGCast4219140.004026-0.0130420.029019-0.024013-0.0250580.006033-0.002025-0.022004-0.0270310.0310320.022024-0.063001
JR8slowMamba13150.0220250.0380390.0210360.0010240.012007-0.054056-0.0140260.0720.0070020.0160270.0460580.037045
UWAtmosNVIDIAscienceAI9DLESyMS2Sv1ngcm14160.019020.036013-0.008039-0.0350280.01009-0.03012-0.0020220.027070.004019-0.0720350.013019-0.018006
scienceAI109zephyr170.0160190.0110130.034036-0.006011-0.0130080.0220170.0460310.057060.015014-0.0210310.01017-0.025014
scienceAI109ngcmfindforecast1823-0.014028-0.0090730.033011-0.0050-0.004001-0.0120160.032037-0.065007-0.029025-0.034094-0.011013-0.018078
scienceAIUWAtmosNVIDIA10findforecastDLESyMS2Sv12218-0.03016-0.07303-0.008009-0.017011-0.0050140.006026-0.035008-0.01019-0.024007-0.095051-0.018019-0.088005

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

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titleNear-surface air temperature (tas), forecast window 1 (days 19 to 25)
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titleNear-surface air temperature (tas), forecast window 2 (days 26 to 32)
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titleMean sea level pressure (mslp), forecast window 1 (days 19 to 25)
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titleMean sea level pressure (mslp), forecast window 2 (days 26 to 32)
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titleAccumulated precipitation (pr), forecast window 1 (days 19 to 25)
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titleAccumulated precipitation (pr), forecast window 2 (days 26 to 32)
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Figures showing evolution of skill scores

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titleWeekly RPSSs for near-surface air temperature (tas), forecast window 1 (days 19 to 25)
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titleWeekly RPSSs for near-surface air temperature (tas), forecast window 2 (days 26 to 32)
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titleWeekly RPSSs for mean sea level pressure (mslp), forecast window 1 (days 19 to 25)
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titleWeekly RPSSs for mean sea level pressure (mslp), forecast window 2 (days 26 to 32)
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titleWeekly RPSSs for accumulated precipitation (pr), forecast window 1 (days 19 to 25)
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titleWeekly RPSSs for accumulated precipitation (pr), forecast window 2 (days 26 to 32)
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titleWeekly RPSSs for variable-averaged (average), forecast window 1 (days 19 to 25)
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titleWeekly RPSSs for variable-averaged (average), forecast window 2 (days 26 to 32)
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titleAggregated RPSSs for near-surface air temperature (tas), forecast window 1 (days 19 to 25)
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titleAggregated RPSSs for near-surface air temperature (tas), forecast window 2 (days 26 to 32)
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titleAggregated RPSSs for mean sea level pressure (mslp), forecast window 1 (days 19 to 25)
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titleAggregated RPSSs for mean sea level pressure (mslp), forecast window 2 (days 26 to 32)
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titleAggregated RPSSs for accumulated precipitation (pr), forecast window 1 (days 19 to 25)
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titleAggregated RPSSs for accumulated precipitation (pr), forecast window 2 (days 26 to 32)
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titleAggregated RPSSs for variable-averaged (average), forecast window 1 (days 19 to 25)
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titleAggregated RPSSs for variable-averaged (average), forecast window 2 (days 26 to 32)
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Figures showing percentage of grid points with positive period-aggregated RPSSs

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titleNear-surface air temperature (tas), forecast window 1 (days 19 to 25)
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titleNear-surface air temperature (tas), forecast window 2 (days 26 to 32)
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titleMean sea level pressure (mslp), forecast window 1 (days 19 to 25)
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titleMean sea level pressure (mslp), forecast window 2 (days 26 to 32)
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titleAccumulated precipitation (pr), forecast window 1 (days 19 to 25)
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titleAccumulated precipitation (pr), forecast window 2 (days 26 to 32)
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Figures showing observed conditions with respect to defined ERA5 climatology

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titleNear-surface air temperature (tas), forecast window 1 (days 19 to 25)
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titleNear-surface air temperature (tas), forecast window 2 (days 26 to 32)
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titleMean sea level pressure (mslp), forecast window 1 (days 19 to 25)
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titleMean sea level pressure (mslp), forecast window 2 (days 26 to 32)
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titleAccumulated precipitation (pr), forecast window 1 (days 19 to 25)
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titleAccumulated precipitation (pr), forecast window 2 (days 26 to 32)
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