Current forecast models indicate a likely maximum temperature range of 20–25°C for São Paulo on August 26, driven by persistent cloud cover, late-day showers, and moderate humidity levels that limit daytime heating. Climatological baselines for late August place average highs near 21–23°C, but small variations in incoming solar radiation under overcast skies or shifts in the timing of precipitation can easily differentiate outcomes within this narrow band. Official guidance from agencies such as INMET and global ensembles shows consensus on mild conditions without strong frontal passages, leaving resolution sensitive to microscale factors like afternoon clearing or wind speed. Trader odds reflect this genuine forecast uncertainty rather than any single dominant catalyst.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Sao Paulo on August 26?
21°C 49%
22°C 49%
23°C 49%
24°C 49%
17°C or below
1%
18°C
4%
19°C
7%
20°C
7%
21°C
49%
22°C
49%
23°C
49%
24°C
49%
25°C
49%
26°C
1%
27°C or higher
1%
21°C 49%
22°C 49%
23°C 49%
24°C 49%
17°C or below
1%
18°C
4%
19°C
7%
20°C
7%
21°C
49%
22°C
49%
23°C
49%
24°C
49%
25°C
49%
26°C
1%
27°C or higher
1%
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=sbgr
If NOAA data is unavailable or missing for the observation period, Weather Underground will be used as the secondary resolution source.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °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.
Pasar Dibuka: Aug 24, 2026, 8:55 PM ET
Sumber Resolusi
https://www.weather.gov/wrh/timeseries?site=sbgrResolver
0x69c47De9D...The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=sbgr
If NOAA data is unavailable or missing for the observation period, Weather Underground will be used as the secondary resolution source.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °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.
Sumber Resolusi
https://www.weather.gov/wrh/timeseries?site=sbgrResolver
0x69c47De9D...Current forecast models indicate a likely maximum temperature range of 20–25°C for São Paulo on August 26, driven by persistent cloud cover, late-day showers, and moderate humidity levels that limit daytime heating. Climatological baselines for late August place average highs near 21–23°C, but small variations in incoming solar radiation under overcast skies or shifts in the timing of precipitation can easily differentiate outcomes within this narrow band. Official guidance from agencies such as INMET and global ensembles shows consensus on mild conditions without strong frontal passages, leaving resolution sensitive to microscale factors like afternoon clearing or wind speed. Trader odds reflect this genuine forecast uncertainty rather than any single dominant catalyst.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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