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SON 2025 Regional RPSSs (Excel format)
Summary of RPSS values
| expver_id | Teamname | Modelname | Global_Average_RPSS | Tropics_Average_RPSS | NHem. ExTro._Average_RPSS | SHem. ExTro._Average_RPSS | NHem. Polar_Average_RPSS | SHem. Polar_Average_RPSS | Europe_Average_RPSS | N. Amer._Average_RPSS | S. Amer._Average_RPSS | Africa_Average_RPSS | Asia_Average_RPSS | Oceania_Average_RPSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AIFC_01 | AIFC | WRcast | -0.8363254929850349 | -0.8563757465924722 | -0.8430850985877575 | -1.0322279777758383 | -0.6882765867022286 | -0.777268290631611 | -0.7637522368797112 | -0.9603348325591886 | -0.988253638132042 | -1.1684478763976431 | -0.8002223163277455 | -0.4179309297262028 |
| AIFS_01 | AIFS | AIFSgaia | 0.0811298329908194 | 0.1333703876497428 | 0.0504444830112336 | -0.0801225039467007 | 0.0344557116485248 | -0.024433245810331 | 0.0914761565203339 | -0.0740618703693753 | -0.0295817417802678 | 0.1387195293447594 | 0.1555872698355637 | 0.0350405108436841 |
| AIFS_02 | AIFS | AIFShera | 0.0872657041634113 | 0.1077807249991681 | 0.0831543358259171 | -0.0586823080636266 | 0.0439612392074482 | 0.0238868231859243 | 0.0920495516059873 | -0.0279850632142148 | 0.055337637769575 | 0.0573159721902057 | 0.1467860156223119 | 0.0605456365590373 |
| AIFS_03 | AIFS | AIFSthalassa | 0.0751385836284376 | 0.1294099741103095 | 0.0366767243032266 | -0.1267808969940127 | 0.0293191002100561 | -0.0500263821530941 | 0.0392261920005742 | -0.0459863143231923 | -0.1126544870533037 | 0.1280366700836895 | 0.1294707914683695 | 0.0611139128695571 |
| CAMExpedition_01 | CAMExpedition | TxT | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| CAMExpedition_02 | CAMExpedition | SBCDiff | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| CAMExpedition_03 | CAMExpedition | VAEtherCast | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| CLINT_01 | CLINT | CLINTDD | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| CMAandFDU_01 | CMAandFDU | Fengshun | 0.0348315631134322 | 0.0864929057108073 | -0.0063617751429924 | -0.0821768637336775 | 0.0477925039899162 | -0.0405814617728486 | 0.0663661110225405 | -0.0410760213738255 | -0.0075118670400408 | 0.03008274716371 | 0.082893233834882 | 0.1039381855796275 |
| CMAandFDU_02 | CMAandFDU | FengshunAdjust | 0.0847126910944717 | 0.1710068414166666 | 0.0153947383208917 | -0.072585314450927 | 0.0050083394077634 | -0.0222683177614774 | 0.0627863228628453 | -0.0237073878441976 | 0.0946558406179435 | 0.0536585545497491 | 0.1134537672593039 | 0.0533048592404414 |
| CMAandFDU_03 | CMAandFDU | FengshunHybrid | 0.0644852776892303 | 0.1246359615930289 | 0.0021708387747086 | -0.0465709611261634 | 0.0456063204474957 | -0.0210685144564061 | 0.0369279521838778 | -0.0259320243175089 | -0.0637763243975089 | 0.1070348981412967 | 0.1216146045074416 | -0.0231034247978232 |
| CliMA_01 | CliMA | CliMAWeather | -0.0401551400113346 | -0.0390112873313769 | -0.052132923056435 | -0.2400895905058521 | -0.037498413761689 | 0.0632659389093055 | 0.0107444990738656 | -0.0871304845380396 | -0.1510158815335493 | -0.0239612890986327 | -0.019111690258686 | -0.1370860032428479 |
| CliMA_02 | CliMA | CliMAWeather2 | -0.040318241889637 | -0.04106684186707 | -0.0486472605750094 | -0.2378184970076762 | -0.0385811666652545 | 0.0676703975281957 | 0.0082547294542645 | -0.0858899211504835 | -0.1587708066025433 | -0.0250689569388942 | -0.0170447349246089 | -0.1287299545129007 |
| FengWuW2S_01 | FengWuW2S | FengWu | -0.3297956763232948 | -0.3846686163227605 | -0.3308683411739114 | -0.3881415625866724 | -0.2703834267848625 | -0.1770237499050863 | -0.4621881409395296 | -0.1615819671620163 | -0.5237340307680335 | -0.6291286480279751 | -0.3931969434103262 | -0.2686038623275239 |
| FengWuW2S_02 | FengWuW2S | FengWu2 | -0.2598175485147354 | -0.134728010855516 | -0.4344056052392832 | -0.2548453604793543 | -0.4705608400773706 | -0.2496801603621676 | -0.7317112133780895 | -0.0419558442846404 | -0.1238405224442392 | -0.4522045029611422 | -0.4910944634661558 | -0.125979124263102 |
| HAPPY_01 | HAPPY | AZN | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| HYT_01 | HYT | WenDingNet | -0.3984595435956333 | -0.5223015877141166 | -0.3531828986368588 | -0.3033405230110271 | -0.1175447967402063 | -0.3111175469643476 | -0.1767136339874217 | -0.5195830712941162 | -0.603017004271011 | -0.5692657750155413 | -0.2786358892503743 | -0.4706644081514559 |
| IFUAIHydromet_01 | IFUAIHydromet | ProS2St | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| IgnisNeuralis42_01 | IgnisNeuralis42 | GCast42 | -0.8187461585539973 | -0.9308952382564144 | -0.6809465117956401 | -1.000158592971556 | -0.6933713195995891 | -0.8488404194952479 | -0.6403499766791413 | -0.720930025676434 | -0.9385750360221574 | -1.1112408612670983 | -0.6687265932183074 | -1.063146276203755 |
| JR_01 | JR | slowMamba | -0.4114334077806316 | -0.3914469624644989 | -0.5097229648262049 | -0.5533649715166743 | -0.2370789057783792 | -0.4307547673443807 | -0.363288825234983 | -0.6663831862116212 | -0.6939691973785888 | -0.2798653889260888 | -0.2880905964863772 | -0.523711296294188 |
| KITKangu_01 | KITKangu | KanguS2SEasyUQ | -1.2347523823399784 | -1.3401195220637367 | -1.045133965154535 | -1.357285868673576 | -1.0937269217185723 | -1.2653733658246211 | -1.1939834961133735 | -0.8764893369277466 | -1.4926150553226716 | -1.445703410997419 | -1.1781797038225297 | -1.6726960282590275 |
| KITKangu_02 | KITKangu | KanguPlusPlus | 3.666856966214974e-09 | -4.0358675660693645e-10 | -7.362577584639022e-09 | -8.457189837329793e-09 | 3.202370239356137e-08 | 3.4529600401178584e-08 | 4.1434213467657815e-09 | 1.7628015343736552e-09 | -7.819986880264194e-10 | -1.243628607502008e-09 | 2.605395269898262e-09 | -4.042379024108793e-09 |
| KITKangu_03 | KITKangu | KanguParametricPrediction | 3.666856966214974e-09 | -4.0358675660693645e-10 | -7.362577584639022e-09 | -8.457189837329793e-09 | 3.202370239356137e-08 | 3.4529600401178584e-08 | 4.1434213467657815e-09 | 1.7628015343736552e-09 | -7.819986880264194e-10 | -1.243628607502008e-09 | 2.605395269898262e-09 | -4.042379024108793e-09 |
| LP_01 | LP | LPM | 0.0622763282650112 | 0.0828449680972131 | 0.0613147734554885 | -0.0138902053315259 | 0.0243708463494071 | 0.016781459389786 | 0.0867450971585289 | 0.0192322401943349 | 0.0324249096369578 | 0.0206356235548932 | 0.0920613793896299 | -0.0205453160240804 |
| Lambda1_01 | Lambda1 | BibiCloud | -0.6338402966417803 | -0.7581251287333325 | -0.525448767318904 | -0.6756443739331685 | -0.5708397698751938 | -0.4165782914395515 | -0.7676244836071922 | -0.5192832465059715 | -0.7142430864496662 | -0.847311741461021 | -0.614393457087809 | -0.5519056345351623 |
| Lambda1_02 | Lambda1 | SilverSky | -0.703920768794942 | -0.6743109806874958 | -0.6864161921221384 | -0.9246174082307812 | -0.7386033847030484 | -0.6457570129606269 | -0.3494872993544979 | -0.739316799554247 | -0.3090699357436741 | -0.9332640011423782 | -0.6695246195817885 | -1.145382358809894 |
| Lambda1_03 | Lambda1 | NorrisNimbus | -0.6694425425698332 | -0.5908848860488967 | -0.7513343308506956 | -0.7199741730062256 | -0.5819461717456959 | -0.8959447741118112 | -0.5809757675434613 | -0.9568003632357592 | -0.3210462638871221 | -0.8564349582222048 | -0.4018938267825071 | -0.9906929932420684 |
| MicroEnsemble_01 | MicroEnsemble | StillLearning | 0.0768193934327012 | 0.1019736135028891 | 0.0580600132151527 | -0.0087950118325421 | 0.0400307847430897 | 0.0639440367741658 | 0.1185327042608914 | -0.0039094413916992 | -0.001889913598068 | 0.0560530860694973 | 0.1129082303234684 | 0.0817178780905799 |
| MicroEnsemble_02 | MicroEnsemble | Huracan | 0.047033814624337 | 0.0436935144917127 | 0.0598610877193079 | -0.0451467559652294 | 0.0201602170324967 | 0.0686882477798757 | 0.1041896923265447 | -0.005417425601323 | -0.089897720201524 | -0.015231671513704 | 0.0991885045423252 | 0.0402480851373969 |
| MicroEnsemble_03 | MicroEnsemble | MicroDuet | 0.0768420556086506 | 0.1084786667599793 | 0.0493394492178274 | -0.0218915839842206 | 0.032041757968749 | 0.0654175517429067 | 0.1050376652880791 | -0.0016552637686019 | -0.0189511975870761 | 0.0630243710135443 | 0.108598223942687 | 0.0921151542591087 |
| NewMeteor_01 | NewMeteor | NewMet | -0.7442348582817374 | -0.9571098881712168 | -0.7627985029527052 | -0.6292016667535737 | -0.2517264722812029 | -0.4748012293893338 | -0.5230103602840214 | -0.794320958353568 | -0.9371739772040174 | -0.8545999170919168 | -0.614598669226181 | -1.0738074609218884 |
| NewMeteor_02 | NewMeteor | BaseModel | -0.7523540656115362 | -0.9684069025381424 | -0.7755866960967688 | -0.6224780076684387 | -0.2394029086743643 | -0.4772345097572724 | -0.5018366909371502 | -0.8205943673773889 | -0.9438467875089516 | -0.8782762888428719 | -0.6276631135182612 | -1.064307119713747 |
| NewMeteor_03 | NewMeteor | ExtraBaseModel | -0.7473834015519142 | -0.9598013717552254 | -0.7748107031402514 | -0.6195131649474707 | -0.2365400895627892 | -0.4720839630131985 | -0.506545452609398 | -0.8166879624721171 | -0.946233721267292 | -0.8707102242109034 | -0.6185378322554868 | -1.0608496224618358 |
| NordicS2S_01 | NordicS2S | NordicS2S1 | -0.3296481548821539 | -0.2699725206662289 | -0.4599435109605699 | -0.3004814386097929 | -0.3605810700990424 | -0.3016521077826924 | -0.3058553548073675 | -0.4753091708809658 | -0.2940176238608821 | -0.2627321373399661 | -0.2820192423381088 | -0.486777323833797 |
| NordicS2S_02 | NordicS2S | NordicS2S2 | -0.5764437859771525 | -0.6440370936279989 | -0.5102512733886096 | -0.6672586319935198 | -0.618622664929504 | -0.3249936012618106 | -0.0830480694397304 | -0.8358486426742674 | -1.0301441355953684 | -0.3946334921276125 | -0.445025592480204 | -0.7938192997551866 |
| NordicS2S_03 | NordicS2S | NordicS2S3 | -0.4499628847022573 | -0.4076802032405129 | -0.566427992215834 | -0.5144347970616904 | -0.4770154159524517 | -0.3948541918298649 | -0.372643230406558 | -0.592585818305139 | -0.5511879520371669 | -0.4737654144242004 | -0.3688056875068235 | -0.6008345719397122 |
| ONE2NTeam_01 | ONE2NTeam | ONE2NWeather | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Qronon_01 | Qronon | QRCML | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| SAIS2S_01 | SAIS2S | SAI | -0.3676085408009333 | -0.549340029114418 | -0.1475153228876189 | -0.6450894034566227 | -0.0091979850164942 | -0.3247083881910761 | 0.0389654838601462 | -0.2030342503945757 | -1.236646217312704 | -0.5552335234825928 | -0.093514402809942 | -0.5794176237112362 |
| Sibyl_01 | Sibyl | ClimSDE | -0.2983663189800415 | -0.3437491277091165 | -0.3058353589781565 | -0.514741922074395 | -0.1896855823179573 | -0.3643652380831216 | -0.2772509411330016 | -0.1858118672283469 | -0.2795416448980184 | -0.5191503542767534 | -0.3152926171458969 | -0.5717426025937533 |
| SwissAIClimate_01 | SwissAIClimate | ESFM | -0.5523675506468876 | -0.4590377596771515 | -0.9118366650418996 | -0.3614229342979536 | -0.6386518340998633 | -0.2212600898646135 | -0.8345186883439846 | -0.3890682664187573 | -0.3084062401633661 | -0.7711304142056316 | -1.0483965745748849 | -0.3552269821392911 |
| TAICHI_01 | TAICHI | TAICHIAI | -0.8622731270090606 | -0.8554159102953233 | -0.9884717544458896 | -0.5453291291686201 | -0.9006929906449906 | -0.7607430151233694 | -0.7869332205143378 | -1.0325267685893829 | -0.565269480333857 | -1.0525693268264285 | -0.8768854419946362 | -0.9811730635492604 |
| TeaMUX_01 | TeaMUX | Climatology | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| UWAtmosNVIDIA_01 | UWAtmosNVIDIA | DLESyMS2Sv1 | -0.5100619905431865 | -0.5579089981596274 | -0.5680354240909861 | -0.6539713122438323 | -0.2382174740195242 | -0.3382361760701257 | -0.5438590156972231 | -0.4739193868276896 | -1.1369525379383028 | -0.4344060030265771 | -0.5095882167283607 | -0.5535075911890551 |
| WindBorne_01 | WindBorne | WeatherMesh | -0.1246740662212984 | -0.0817395133477092 | -0.2059140701112232 | -0.2589037256803564 | -0.1525721142720525 | -0.1317549620568503 | -0.2020446607234841 | -0.1874665495628587 | -0.1400424871394033 | -0.1837295339440002 | -0.1406398784011505 | -0.3577949236071163 |
| scienceAI_01 | scienceAI | findforecast | 3.666856966214974e-09 | -4.0358675660693645e-10 | -7.362577584639022e-09 | -8.457189837329793e-09 | 3.202370239356137e-08 | 3.4529600401178584e-08 | 4.1434213467657815e-09 | 1.7628015343736552e-09 | -7.819986880264194e-10 | -1.243628607502008e-09 | 2.605395269898262e-09 | -4.042379024108793e-09 |
| scienceAI_02 | scienceAI | zephyr | 3.666856966214974e-09 | -4.0358675660693645e-10 | -7.362577584639022e-09 | -8.457189837329793e-09 | 3.202370239356137e-08 | 3.4529600401178584e-08 | 4.1434213467657815e-09 | 1.7628015343736552e-09 | -7.819986880264194e-10 | -1.243628607502008e-09 | 2.605395269898262e-09 | -4.042379024108793e-09 |
| scienceAI_03 | scienceAI | ngcm | 3.666856966214974e-09 | -4.0358675660693645e-10 | -7.362577584639022e-09 | -8.457189837329793e-09 | 3.202370239356137e-08 | 3.4529600401178584e-08 | 4.1434213467657815e-09 | 1.7628015343736552e-09 | -7.819986880264194e-10 | -1.243628607502008e-09 | 2.605395269898262e-09 | -4.042379024108793e-09 |