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Top 10 teams of regional forecast window 1, period-aggregated, variable-averaged RPSSs

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TeamnameTeam_rankModelnameModel_rankGlobalTropicsNHem. ExTro.SHem. ExTro.NHem. PolarSHem. PolarEuropeN. Amer.S. Amer.AfricaAsiaOceania
AIFS1AIFShera10.

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0870.

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1080.

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083-0.

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0590.

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0440.

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0240.

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092-0.

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0280.

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0550.

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0570.

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1470.

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061
AIFS1AIFSgaia30.

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0810.

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1330.

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05-0.

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080.

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034-0.

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0240.

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091-0.

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074-0.

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030.

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1390.

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1560.

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035
AIFS1AIFSthalassa60.

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0750.

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1290.

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037-0.

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1270.

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029-0.

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050.

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039-0.

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046-0.

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1130.

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1280.

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1290.

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061
CMAandFDU2FengshunAdjust20.

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0850.

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1710.

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015-0.

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0730.

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005-0.

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0220.

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063-0.

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0240.

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0950.

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0540.

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1130.

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053
CMAandFDU2FengshunHybrid70.

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0640.

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1250.

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002-0.

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0470.

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046-0.

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0210.

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037-0.

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026-0.

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0640.

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1070.

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122-0.

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023
CMAandFDU2Fengshun100.

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0350.

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086-0.

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006-0.

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0820.

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048-0.

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0410.

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066-0.

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041-0.

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0080.

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030.

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0830.

...

104
MicroEnsemble3MicroDuet40.

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0770.

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1080.

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049-0.

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0220.

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0320.

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0650.

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105-0.

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002-0.

...

0190.

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0630.

...

1090.

...

092
MicroEnsemble3StillLearning50.

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0770.

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1020.

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058-0.

...

0090.

...

040.

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0640.

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119-0.

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004-0.

...

0020.

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0560.

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1130.

...

082
MicroEnsemble3Huracan90.

...

0470.

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0440.

...

06-0.

...

0450.

...

020.

...

0690.

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104-0.

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005-0.

...

09-0.

...

0150.

...

0990.

...

04
LP4LPM80.

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0620.

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0830.

...

061-0.

...

0140.

...

0240.

...

0170.

...

0870.

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0190.

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0320.

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0210.

...

092-0.

...

021
KITKangu5KanguPlusPlus11

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0.

...

0-

...

0.

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0-

...

0.

...

0-

...

0.

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0

...

0.

...

0

...

0.

...

0

...

0.

...

0

...

0.

...

0-

...

0.

...

0-

...

0.

...

0

...

0.

...

0-

...

0.

...

0
KITKangu5KanguParametricPrediction11

...

0.

...

0-

...

0.

...

0-

...

0.

...

0-

...

0.

...

0

...

0.

...

0

...

0.

...

0

...

0.

...

0

...

0.

...

0-

...

0.

...

0-

...

0.

...

0

...

0.

...

0-

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0.

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0
scienceAI5findforecast11

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0.

...

0-

...

0.

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0-

...

0.

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0-

...

0.

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0

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0.

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0

...

0.

...

0

...

0.

...

0

...

0.

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0-

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0.

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0-

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0.

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0

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0.

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0-

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0.

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0
scienceAI5zephyr11

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0.

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0-

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0.

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0-0.0-0.00.00.00.00.0-0.0-0.00.0-0.0

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scienceAI5ngcm11

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0.

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0-

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0.

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0-

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0.

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0-

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0.

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0

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0.

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0

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0.

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0

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0.

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0

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0.

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0-

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0.

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0-

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0.

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0

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0.

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0-

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0.

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0
KITKangu5KanguS2SEasyUQ39-1.

...

235-1.

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34-1.

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045-1.

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357-1.

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094-1.

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265-1.

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194-0.

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876-1.

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493-1.

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446-1.

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178-1.

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673
CliMA7CliMAWeather16-0.

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04-0.

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039-0.

...

052-0.

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24-0.

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0370.

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0630.

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011-0.

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087-0.

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151-0.

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024-0.

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019-0.

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137
CliMA7CliMAWeather217-0.

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04-0.

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041-0.

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049-0.

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238-0.

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0390.

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0680.

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008-0.

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086-0.

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159-0.

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025-0.

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017-0.

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129
WindBorne8WeatherMesh18-0.

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125-0.

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082-0.

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206-0.

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259-0.

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153-0.

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132-0.

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202-0.

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187-0.

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14-0.

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184-0.

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141-0.

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358
FengWuW2S9FengWu219-0.

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26-0.

...

135-0.

...

434-0.

...

255-0.

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471-0.

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25-0.

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732-0.

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042-0.

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124-0.

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452-0.

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491-0.

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126
FengWuW2S9FengWu22-0.

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33-0.

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385-0.

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331-0.

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388-0.

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27-0.

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177-0.

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462-0.

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162-0.

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524-0.

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629-0.

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393-0.

...

269
Sibyl10ClimSDE20-0.

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298-0.

...

344-0.

...

306-0.

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515-0.

...

19-0.

...

364-0.

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277-0.

...

186-0.

...

28-0.

...

519-0.

...

315-0.

...

572

Top 10 teams of regional forecast window 2, period-aggregated, variable-averaged RPSSs

TeamnameTeam_rankModelnameModel_rankGlobalTropicsNHem. ExTro.SHem. ExTro.NHem. PolarSHem. PolarEuropeN. Amer.S. Amer.AfricaAsiaOceania
CMAandFDU1FengshunAdjust10.06097045382843420610.1173933320919081170.02901441458717810290.00217897883222190020.0329664598681853033-0.0136546326782970140.00274720235964560030.05796141312956590580.13264160962736141330.1101404401676157110.07246071012551740720.1291803393447884129
CMAandFDU1FengshunHybrid20.05275836126323120530.0795492419136108080.03185319976554430320.02802229318867690280.02469305010491120250.0203242646302143020.0102752764068216010.02737084650328610270.0602399886026433060.06469563432449630650.07684727378344970770.0471767410652232047
CMAandFDU1Fengshun14-0.00247032275622280020.00100350002571880010.00578600861594020060.02903001340274640290.0528683665772347053-0.0802104767690924080.0057550728709226006-0.02369007086880990240.0070644505770458007-0.07679670820536180770.04198951582344530420.0782722632859353078
MicroEnsemble2StillLearning30.05141506875052730510.09943687942314860990.00589528852167560060.03908231867823570390.0454623875943802045-0.0223098980709466022-0.01886459008443650190.01874664224825550190.09511324655768660950.08270332074646290830.05504859821686620550.0935829545319012094
MicroEnsemble2MicroDuet40.04535742749247670450.086884732970479208720.6171987126500512e-0500.04663641588628670470.0424746291161806042-0.0127951477654476013-0.02570862347258320260.04621918314672340460.1144248488782711140.01714532256578220170.04439108426048250440.1028292034557147103
MicroEnsemble2Huracan80.00881607788390420090.0214323315030628021-0.01689197385648840170.0527695517032490530.0320281778374951032-0.043590992662836044-0.04696036748620090470.03184342513850580320.0482364649984184048-0.0595537778051697060.00146283881608010010.059454537846756059
LP3LPM50.03597570731386790360.05598899971643190560.0255555675867730260.04420044889288160440.022166670256691022-0.0593037753391682059-0.00215512497977330020.03575814235812140360.0771402964835220770.02382104065888640240.06613064963638010660.0060609838732028006
AIFS4AIFSgaia60.02435508288954150240.040404219184190204-0.01308836741249770130.03197992989242550320.02896362389559280290.0293269032816071029-0.0168687276128939017-0.05066889737979920510.11831994815594521180.00860545657682820090.03279864861958910330.0093627390311302009
AIFS4AIFShera70.00896992211700260090.0141127415355947014-0.0197811705129096020.0053854536028150050.0451679852169668045-0.01517114779216170150.0090224910333509009-0.08285590974389420830.07805335858588970780.00670657387907150070.01909024245688710190.0605170623404766061
AIFS4AIFSthalassa15-0.0045689093707475005-0.02753784358404230280.0004312522640040-0.00745597302827950070.02148324947530730210.02648372725572390260.0131558162937652013-0.04579252071375260460.040475305272008804-0.0799169231714984080.029622758030691203-0.1172533776665263117
KITKangu5KanguPlusPlus930.6718625917586682e-090-90.11592653215128e-100-60.9456635258073155e-090-80.849109223163511e-09030.2644538923894593e-08030.3818281545509414e-08060.216317534798084e-09020.7036507107188372e-090-10.5391835953929938e-090-10.098188059008483e-09020.2373580395769932e-090-50.1284800850481815e-090
KITKangu5KanguParametricPrediction930.6718625917586682e-090-90.11592653215128e-100-60.9456635258073155e-090-80.849109223163511e-09030.2644538923894593e-08030.3818281545509414e-08060.216317534798084e-09020.7036507107188372e-090-10.5391835953929938e-090-10.098188059008483e-09020.2373580395769932e-090-50.1284800850481815e-090
scienceAI5findforecast930.6718625917586682e-090-90.11592653215128e-100-60.9456635258073155e-090-80.849109223163511e-09030.2644538923894593e-08030.3818281545509414e-08060.216317534798084e-09020.7036507107188372e-090-10.5391835953929938e-090-10.098188059008483e-09020.2373580395769932e-090-50.1284800850481815e-090
scienceAI5zephyr930.6718625917586682e-090-90.11592653215128e-100-60.9456635258073155e-090-80.849109223163511e-09030.2644538923894593e-08030.3818281545509414e-08060.216317534798084e-09020.7036507107188372e-090-10.5391835953929938e-090-10.098188059008483e-09020.2373580395769932e-090-50.1284800850481815e-090
scienceAI5ngcm930.6718625917586682e-09-9.11592653215128e-10-6.9456635258073155e-09-8.849109223163511e-093.2644538923894593e-083.3818281545509414e-086.216317534798084e-092.7036507107188372e-09-1.5391835953929938e-09-1.098188059008483e-092.2373580395769932e-090-0.0-0.0-0.00.00.00.00.0-0.0-0.00.0-0.0-5.1284800850481815e-09
KITKangu5KanguS2SEasyUQ39-1.389837798910780239-1.441187434994885441-1.3093072382340456309-0.860630554294317861-1.3427116980759906343-1.4422746100474977442-1.2186735698604043219-1.2607653359586928261-1.5319290385318312532-1.5089622367155702509-1.3642179502171723364-1.1739736179229532174
CliMA7CliMAWeather16-0.09972010527923941-0.1377858110105982138-0.1140509675418923114-0.1273071718057634127-0.03112243750912610310.0243030786480396024-0.1222154148202415122-0.119794850385235212-0.1165648625704478117-0.268687510871712269-0.10305484543983371030.0886144356093481089
CliMA7CliMAWeather217-0.1059069014291666106-0.1419025408404863142-0.1229622322352672123-0.138326158039714138-0.03654550340928230370.020128761747725202-0.1337811845702122134-0.1328807611088117133-0.129621568859737813-0.2781686872827242278-0.10213420200419191020.089605891696784609
FengWuW2S8FengWu218-0.2637982180490629264-0.2033104087319254203-0.45663068668784224570.0082240677934922008-0.3084377184380691308-0.0543464215892999054-0.3005374637541703301-0.0575678629486624058-0.0982088461358459098-0.2759119544023418276-0.6159696986850421616-0.2824437317201644282
FengWuW2S8FengWu20-0.350429921190653835-0.4763511384737846476-0.3626642293556934363-0.1056370471891408106-0.20494898723636742050.00731284214924007-0.2711071906489209271-0.1387664854323166139-0.5872330110348261587-0.6784948352598686678-0.4717580082311046472-0.3325387705162455333
NordicS2S9NordicS2S119-0.315404475963272315-0.3416426849164855342-0.239734602173305924-0.249776604376119525-0.1610331796484567161-0.4388890891503878439-0.1530534219882934153-0.1652146380614118165-0.2834361503133122283-0.584097045647085584-0.2586756831282115259-0.2724499367123978272
NordicS2S9NordicS2S327-0.5265507521364994527-0.7781466803509519778-0.280393760863997428-0.1109370105503585111-0.3279495054293059328-0.4273705113906661427-0.3210480276202649321-0.4773649561729151477-0.7035491360084464704-0.9232246580349408923-0.413383558677425413-0.5888730372499086589
NordicS2S9NordicS2S229-0.6055187799634721606-0.7305827547936555731-0.6544465859052372654-0.7637247864748167764-0.2216312591612375222-0.0923550123927006092-0.370016222832986837-0.6691351136680801669-0.780397695940401678-0.8535560955625039854-0.5034382684853603503-0.5533929938645247553
Sibyl10ClimSDE21-0.3863240455654866386-0.3921940542797756392-0.3189914326490093319-0.7794869395383307779-0.260770625666276261-0.5060688115995131506-0.2755647156107741276-0.3448042322040479345-0.633935566134859634-0.4091174055142876409-0.219706340978072422-0.2985457795394503299