11 Best Weather Forecasting Models for Polymarket Markets Right Now (Global Regional Breakdown)
Understanding their regional strengths and update frequencies can dramatically improve your probability estimates and win rate
Here’s the complete regional breakdown of the best models you should be using
> Global models - work for any city
• ECMWF - the gold standard for global forecasting, best accuracy at 5–10 day horizon
• ECMWF AIFS - AI-powered version of ECMWF, same global coverage, faster updates
• GFS - solid global coverage, free, widely used as baseline
• ICON-Global - reliable global model from DWD, good backup to ECMWF
> USA Canada (LA, NYC, Chicago, Dallas, Miami, SF, Atlanta, Austin, Denver, Seattle)
• HRRR - best short-horizon model for US cities, updates every hour, 3km resolution
• GEM - very strong for both US and Canada
• GFS - solid baseline, pairs well with HRRR
> Europe (London, Paris, Madrid, Milan, Amsterdam, Munich, Warsaw, Helsinki, Istanbul, Ankara, Moscow)
• ICON-EU - the strongest regional model across all of Europe
• AROME - high resolution for Western Europe: France, Spain, Italy, UK
• UKMO - best for London and Northern Europe specifically
• ECMWF - always worth including as the global reference
> Central Europe (Warsaw, Munich, Milan, Amsterdam)
• ICON-D2 - highest resolution for Germany, France, Benelux, Poland, Austria, Czech Republic
• ICON-D2 EPS - ensemble version of ICON-D2, gives you probability distribution instead of single forecast. Use this when the market is binary and close to the threshold
> Asia (Beijing, Shanghai, Guangzhou, Shenzhen, Chengdu, Chongqing, Wuhan, Qingdao, Hong Kong, Taipei, Singapore, Jakarta, Manila, Lucknow)
• JMA-GSM - strong across East Asia and Pacific
• JMA-MSM - high resolution specifically for Japan and nearby areas
• ECMWF ICON-Global - best global options for Southeast Asia and South Asia
> Middle East & Africa (Jeddah, Tel Aviv, Cape Town, Karachi)
• ECMWF - dominant choice, no strong regional alternatives here
• GFS - reliable backup
The practical workflow: always start with ECMWF as your anchor. Then layer in the regional model that covers your city. Where you have an ensemble version (ICON-D2 EPS) - use it
A single deterministic forecast tells you the expected value. An ensemble tells you the distribution. For binary threshold markets, the distribution is what actually matters
Save this list. If I missed any models, please feel free to mention them in the replies
Official Resolution Stations for All Major Polymarket Weather Markets
Every weather market resolves by a specific meteorological station - not by city average or weather apps
Always check the station, never the general city forecast. Full official list below
> North America:
• Los Angeles → KLAX
• New York City → KLGA
• Chicago → KORD
• Dallas → KDAL
• Miami → KMIA
• San Francisco → KSFO
• Atlanta → KATL
• Austin → KAUS
• Denver → KBKF
• Seattle → KSEA
• Mexico City → MMMX
• Panama City → MPMG
> South America:
• Buenos Aires → SAEZ
• Sao Paulo → SBGR
> Europe:
• London → EGLC
• Paris → LFPB
• Madrid → LEMD
• Milan → LIMC
• Amsterdam → EHAM
• Munich → EDDM
• Warsaw → EPWA
• Helsinki → EFHK
• Istanbul → LTFM
• Ankara → LTAC
• Moscow → UUWW
> Middle East & Africa:
• Jeddah → OEJN
• Tel Aviv → LLBG
• Cape Town → FACT
• Karachi → OPKC
> Asia:
• Beijing → ZBAA
• Shanghai → ZSPD
• Guangzhou → ZGGG
• Shenzhen → ZGSZ
• Chengdu → ZUUU
• Chongqing → ZUCK
• Wuhan → ZHHH
• Qingdao → ZSQD
• Hong Kong → HK Observatory
• Taipei → RCSS
• Singapore → WSSS
• Jakarta → WIHH
• Manila → RPLL
• Lucknow → VILK
Polymarket resolves strictly by the data from these specific stations
If the station shows 34°C and your weather app shows 31°C - the market will resolve at 34°C
Save this list. Always verify the official station before entering any weather market