Latest forecast model runs from Brazil's National Institute of Meteorology (INMET) and global ensembles like GFS and ECMWF show a consensus high near 27°C for São Paulo on April 5, driving trader sentiment toward 26–28°C outcomes with implied probabilities tightly clustered at 23–26.5%. Differentiating factors include variable cloud cover and potential afternoon showers, which could suppress peaks to 26°C via reduced insolation or permit 28°C under clearer skies amid above-average autumn warmth from persistent high-pressure ridging. Early April climatology averages 26°C highs, but recent heat surges to 30°C+ have elevated expectations; watch INMET daily updates and 00Z model refreshes for shifts in convective activity or southerly winds. Polymarket odds reflect this skin-in-the-game assessment of short-range uncertainty.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten · AktualisiertHighest temperature in Sao Paulo on April 5?
Highest temperature in Sao Paulo on April 5?
26°C 29%
28°C 27%
27°C 26%
29°C 16%
22°C or below
1%
23°C
3%
24°C
4%
25°C
9%
26°C
22%
27°C
26%
28°C
27%
29°C
16%
30°C
11%
31°C
4%
32°C or higher
2%
26°C 29%
28°C 27%
27°C 26%
29°C 16%
22°C or below
1%
23°C
3%
24°C
4%
25°C
9%
26°C
22%
27°C
26%
28°C
27%
29°C
16%
30°C
11%
31°C
4%
32°C or higher
2%
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: Apr 1, 2026, 6:02 AM ET
Abwicklungsquelle
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.
Abwicklungsquelle
https://www.wunderground.com/history/daily/br/guarulhos/SBGRResolver
0x69c47De9D...Latest forecast model runs from Brazil's National Institute of Meteorology (INMET) and global ensembles like GFS and ECMWF show a consensus high near 27°C for São Paulo on April 5, driving trader sentiment toward 26–28°C outcomes with implied probabilities tightly clustered at 23–26.5%. Differentiating factors include variable cloud cover and potential afternoon showers, which could suppress peaks to 26°C via reduced insolation or permit 28°C under clearer skies amid above-average autumn warmth from persistent high-pressure ridging. Early April climatology averages 26°C highs, but recent heat surges to 30°C+ have elevated expectations; watch INMET daily updates and 00Z model refreshes for shifts in convective activity or southerly winds. Polymarket odds reflect this skin-in-the-game assessment of short-range uncertainty.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten · Aktualisiert
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