Persistent above-average warmth across southeastern Brazil, fueled by a strengthening El Niño and stable high-pressure subsidence, underpins trader consensus favoring 28°C or 29°C as the most likely maximum for São Paulo on August 8. These conditions promote clearer skies, reduced cloud cover, and enhanced solar heating during the region's dry winter season, elevating daytime temperatures several degrees above the long-term average of roughly 23–25°C. Small probability spreads between 28°C and 29°C reflect forecast uncertainties in exact advection of warmer air masses, local wind patterns, and urban heat effects, with official models from agencies like INMET showing modest day-to-day variability. Upcoming updated model runs and observational data from Brazil's meteorological network will refine these odds ahead of resolution.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日8月8日のサンパウロの最高気温は?
28°C 38%
29°C 28%
30°C 16%
27°C 13%
22°C or below
<1%
23°C
<1%
24°C
1%
25°C
2%
26°C
4%
27°C
13%
28°C
38%
29°C
28%
30°C
16%
31°C
3%
32°C or higher
2%
28°C 38%
29°C 28%
30°C 16%
27°C 13%
22°C or below
<1%
23°C
<1%
24°C
1%
25°C
2%
26°C
4%
27°C
13%
28°C
38%
29°C
28%
30°C
16%
31°C
3%
32°C or higher
2%
This market will resolve to the temperature range that contains the highest temperature recorded at the Sao Paulo-Guarulhos International Airport Station in degrees Celsius on 8 Aug '26.
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Sao Paulo-Guarulhos International Airport Station, 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 until the first data point for the following date has been published on the resolution source.
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.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
マーケット開始日: Aug 6, 2026, 9:02 PM ET
This market will resolve to the temperature range that contains the highest temperature recorded at the Sao Paulo-Guarulhos International Airport Station in degrees Celsius on 8 Aug '26.
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Sao Paulo-Guarulhos International Airport Station, 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 until the first data point for the following date has been published on the resolution source.
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.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
Persistent above-average warmth across southeastern Brazil, fueled by a strengthening El Niño and stable high-pressure subsidence, underpins trader consensus favoring 28°C or 29°C as the most likely maximum for São Paulo on August 8. These conditions promote clearer skies, reduced cloud cover, and enhanced solar heating during the region's dry winter season, elevating daytime temperatures several degrees above the long-term average of roughly 23–25°C. Small probability spreads between 28°C and 29°C reflect forecast uncertainties in exact advection of warmer air masses, local wind patterns, and urban heat effects, with official models from agencies like INMET showing modest day-to-day variability. Upcoming updated model runs and observational data from Brazil's meteorological network will refine these odds ahead of resolution.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日

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