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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 2 6 forecasts initialized between Thursday 12th February 2026 and Thursday 19th February 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
CMAandFDU1FengshunHybrid10.111030.1651420.0911-0.0290040.0380570.0710480.0420560.1421490.1170340.0961070.1041320.164102
CMAandFDU1FengshunAdjust270.1080840.1541160.0980930.049016-0.0070030.0830680.0450.1321180.0810340.1230870.1121030.12707
CMAandFDU1Fengshun150.0560350.0630360.043050.0340050.0960320.029009-0.0190140.123092-0.0060240.002010.080470.113055
AIFSLP2AIFSgaiaLPM320.1020950.1441290.092095-0.0150010.0420930.072040.0120360.1491430.0840250.0621130.111310.19114
AIFSMicroEnsemble23AIFSthalassaHuracan930.0880930.1171240.093098-0.0010040.0530710.023041-0.0020680.1881250.018040.0910820.1031290.118127
AIFSMicroEnsemble23AIFSheraMicroDuet1140.0830870.1191160.069094-0.012020.0410470.039045-0.0820680.1271030.0380510.0621010.1251110.15612
CLINTMicroEnsemble3CLINTMFStillLearning490.1010790.1561040.0720950.0380170.050360.056039-0.0120660.1560940.1530350.060990.081080.199117
CLINT34CLINTDDCLINTMF50.1010860.1541110.072089-0.0480130.0460940.056049-0.006020.161490.160410.0560740.0751170.199088
CLINT34CLINTSECLINTDD1060.0880840.1431110.065086-0.040090.0380850.015049-0.0190150.1761480.157050.030680.0491130.189087
LPCLINT4LPMCLINTSE6110.0990620.1530820.07207-0.0090140.0490790.061002-0.0020.11130.110230.0820150.1011030.18307
MicroEnsembleAIFS5MicroDuetAIFSgaia780.0930840.1461010.075107-0.03021-0.0120810.0660380.0550480.1031580.1010080.0910790.0671260.18082
MicroEnsembleAIFS5HuracanAIFShera8100.0920660.1430820.066087-0.0160260.0150720.068037-0.0250150.115157-0.1010370.0570550.0691150.19044
MicroEnsembleAIFS5StillLearningAIFSthalassa120.075060.1120670.082094-0.031014-0.0140570.052015-0.070080.076189-0.0690220.0820660.064090.174023
JRSBUHybrid6slowMambaHybridPPx130.0650450.0930420.06908-0.0330080.098097-0.079017-0.0150.174133-0.0380490.0250650.0870750.126021
scienceAISBUHybrid76zephyrHybridAC140.060390.0620250.077068-0.0180060.0281150.0450030.0790260.12412-0.0520470.020450.05706-0.082006
scienceAIUWAtmosNVIDIA7ngcmDLESyMS2Sv1160.0520320.0480310.08804-0.0160290.065047-0.0250470.0830280.089048-0.028038-0.0170430.0990710.1028
scienceAI78findforecastngcm2517-0.02028-0.0570110.01407-0.032012-0.032055-0.0510130.0210490.023074-0.045025-0.09705-0.026072-0.051029
IgnisNeuralis42scienceAI8GCast42zephyr17180.034024-0.0380010.055066-0.0440040.0010320.0720240.1080570.05080.019031-0.0080580.020640.026004
UWAtmosNVIDIAscienceAI98DLESyMS2Sv1findforecast1822-0.033021-0.0380570.019008-0.05101-0.0280090.082030.003022-0.053001-0.048016-0.00108-0.036018-0.1105
SBUHybridJR109HybridPPxslowMamba190.0240230.0140310.057037-0.0020190.049027-0.01805-0.030240.114116-0.01005-0.0270070.0310320.016038
SBUHybridIgnisNeuralis4210HybridACGCast4221200.005022-0.0180250.028029-0.002001-0.030160.015033-0.0660350.09102-0.011027-0.0110150.008013-0.049009
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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
CMAandFDU1FengshunHybrid10.0780590.1060910.060540.0140020.0460210.0620190.093040.0780810.0210280.111080.0920790.121056
CMAandFDU1FengshunAdjust20.0750480.1070770.057042-0.005006-0.0240210.0690440.0840460.060610.011030.1420820.085050.118043
CMAandFDU1Fengshun10110.0390230.0610330.002025-0.008003-0.043003-0.042005-0.0490360.1260850.0480120.073026-0.0150110.095043
AIFSLP2AIFSgaiaLPM30.0590470.0680770.056028-0.0170150.0440310.054029-0.0340290.095073-0.0230240.0890530.080770.074038
AIFSMicroEnsemble23AIFSheraMicroDuet1440.0340470.0410710.0220420.0120070.040090.0520260.007030.064045-0.0240430.024050.0680630.02064
AIFSMicroEnsemble23AIFSthalassaHuracan1970.005044-0.043070.055038-0.040160.026020.0290240.0370240.074062-0.137026-0.0430390.0720710.007058
MicroEnsemble3HuracanStillLearning490.0560380.0930590.031038-0.0160040.020010.0530190.050240.0530370.0510340.0630390.0620590.106059
MicroEnsembleCLINT34MicroDuetCLINTDD650.0530460.080640.041031-0.005008-0.0020440.057038-0.070030.0310780.0450270.050530.0570650.096035
MicroEnsembleCLINT34StillLearningCLINTMF960.040450.0550590.042033-0.015013-0.0080460.046045-0.0710040.0190810.0310210.0270470.060650.098032
CLINT4CLINTDDCLINTSE5130.0530190.0780290.019013-0.0160060.034016-0.052017-0.0160390.0620540.0040110.0680110.0540480.118021
CLINTAIFS45CLINTMFAIFSgaia80.051040.0720560.0210410.0120060.0330190.0530230.0180080.0651-0.0080110.0630540.0530540.117014
CLINTAIFS45CLINTSEAIFShera11100.0370.0610470.0070360.0070050.0250530.015025-0.0090160.053113-0.0130010.05030.034054-0.116013
LPAIFS5LPMAIFSthalassa723-0.052024-0.0860640.019033-0.026006-0.0170090.052001-0.0010070.058078-0.00915-0.0620530.065017-0.106076
UWAtmosNVIDIASBUHybrid6DLESyMS2Sv1HybridPPx120.0360220.0480220.011045-0.0110280.038051-0.039022-0.0260020.036079-0.0160330.090480.02059-0.025048
JRSBUHybrid76slowMambaHybridAC13160.0350150.051010.028044-0.0050230.052034-0.03009-0.0030220.079059-0.027020.0490480.053037-0.07707
scienceAI87zephyr15140.0270160.0260110.032030.010140.0040060.0320020.0560290.0470520.045034-0.0070230.023018-0.008016
scienceAI87ngcm18150.0170150.0090110.0360330.0180160.031013-0.015010.0530270.0450590.031-0.0350270.033017-0.013005
scienceAI87findforecast2622-0.032022-0.070560.001003-0.015008-0.020130.0110340.034026-0.00901-0.022008-0.092075-0.03102-0.091057
IgnisNeuralis42SBUHybrid89GCast42HybridPPx17160.0130.0260270.04010.02006-0.0210440.036001-0.006024-0.0320.074-0.0140350.0570090.041012-0.04202
SBUHybridUWAtmosNVIDIA9HybridACDLESyMS2Sv120180.00120.006027-0.002006-0.024025-0.0350060.005014-0.0470120.02502-0.0010170.035054-0.006024-0.086037
IgnisNeuralis42JR10GCast42slowMamba1719-0.0250010.0410140.014013-0.01006-0.042014-0.073079-0.0501-0.01505-0.0430320.0740120.011023-0.011007

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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