Trader consensus on Polymarket prices a tight race between 27°C (30.5%) and 28°C (28.0%) as the highest temperature in São Paulo on April 2, driven by the latest guidance from INMET and Climatempo forecasting above-normal early autumn warmth around 27-28°C under a persistent upper-level ridge promoting subsidence and sunny conditions. Global models like GFS and ECMWF ensembles show minimal spread, with highs clustering in this range amid lingering summer-like patterns post a hot March closeout. Differentiating factors include sea breeze timing, which could cap peaks at 27°C via coastal cooling, versus urban heat island amplification pushing to 28°C under clear skies; minor afternoon cloud development adds uncertainty. New model runs expected daily through resolution via official INMET airport observations.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten · AktualisiertHöchste Temperatur in Sao Paulo am 2. April?
Höchste Temperatur in Sao Paulo am 2. April?
28°C 33%
27°C 31%
26°C 25%
24°C 12%
23°C oder weniger
8%
24°C
12%
25°C
10%
26°C
21%
27°C
31%
28°C
28%
29°C
5%
30°C
11%
31°C
8%
32°C
9%
33°C oder höher
8%
28°C 33%
27°C 31%
26°C 25%
24°C 12%
23°C oder weniger
8%
24°C
12%
25°C
10%
26°C
21%
27°C
31%
28°C
28%
29°C
5%
30°C
11%
31°C
8%
32°C
9%
33°C oder höher
8%
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Sao Paulo-Guarulhos International Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/br/guarulhos/SBGR.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C.
This market can not resolve to "Yes" until all data for this date has been finalized.
The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Markt eröffnet: Mar 29, 2026, 1:53 PM ET
Resolution Source
https://www.wunderground.com/history/daily/br/guarulhos/SBGRResolver
0x69c47De9D...The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Sao Paulo-Guarulhos International Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/br/guarulhos/SBGR.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C.
This market can not resolve to "Yes" until all data for this date has been finalized.
The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Resolution Source
https://www.wunderground.com/history/daily/br/guarulhos/SBGRResolver
0x69c47De9D...Trader consensus on Polymarket prices a tight race between 27°C (30.5%) and 28°C (28.0%) as the highest temperature in São Paulo on April 2, driven by the latest guidance from INMET and Climatempo forecasting above-normal early autumn warmth around 27-28°C under a persistent upper-level ridge promoting subsidence and sunny conditions. Global models like GFS and ECMWF ensembles show minimal spread, with highs clustering in this range amid lingering summer-like patterns post a hot March closeout. Differentiating factors include sea breeze timing, which could cap peaks at 27°C via coastal cooling, versus urban heat island amplification pushing to 28°C under clear skies; minor afternoon cloud development adds uncertainty. New model runs expected daily through resolution via official INMET airport observations.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten · Aktualisiert
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