Forecast models from sources including the National Meteorological Institute and international ensembles indicate a high of 26–28°C for São Paulo on September 3 under mostly sunny skies, light northwest winds, and low humidity following overnight clearing. This positions 27°C as the market leader at 42% implied probability, with 26°C and 28°C close behind, reflecting consensus around typical spring maximums after cooler, rainy conditions on September 1–2. Dry air advection and strong daytime insolation support modest warming above the long-term September average of ~23°C, while model agreement on minimal cloud cover and no precipitation reduces upside risk beyond 29°C. Traders appear to weigh the narrow forecast spread and historical variability in daily maxima when assigning probabilities.
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9月3日のサンパウロの最高気温は？
9月3日のサンパウロの最高気温は？
27℃ 42%
26℃ 29%
28℃ 17%
25°C 6%
新規
新規
2026/09/03
22°C以下
1%
23°C
3%
24°C
4%
25°C
6%
26℃
29%
27℃
42%
28℃
17%
29°C
5%
30°C
1%
31°C
<1%
32℃以上
<1%
27℃ 42%
26℃ 29%
28℃ 17%
25°C 6%
新規
新規
2026/09/03
22°C以下
$100 Vol.
1%
23°C
$20 Vol.
3%
24°C
$61 Vol.
4%
25°C
$171 Vol.
6%
26℃
$156 Vol.
29%
27℃
$120 Vol.
42%
28℃
$275 Vol.
17%
29°C
$133 Vol.
5%
30°C
$20 Vol.
1%
31°C
$165 Vol.
<1%
32℃以上
$1,125 Vol.
<1%
This market will resolve to the temperature range that contains the highest temperature recorded by NOAA at the Sao Paulo-Guarulhos International Airport Station in degrees Celsius on 3 Sep '26.
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 for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event that there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market will resolve once the first data point for the following date has been published on the resolution source, or by 11:59 PM ET on the day following the observation date, whichever comes first.
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.Forecast models from sources including the National Meteorological Institute and international ensembles indicate a high of 26–28°C for São Paulo on September 3 under mostly sunny skies, light northwest winds, and low humidity following overnight clearing. This positions 27°C as the market leader at 42% implied probability, with 26°C and 28°C close behind, reflecting consensus around typical spring maximums after cooler, rainy conditions on September 1–2. Dry air advection and strong daytime insolation support modest warming above the long-term September average of ~23°C, while model agreement on minimal cloud cover and no precipitation reduces upside risk beyond 29°C. Traders appear to weigh the narrow forecast spread and historical variability in daily maxima when assigning probabilities.
This market will resolve to the temperature range that contains the highest temperature recorded by NOAA at the Sao Paulo-Guarulhos International Airport Station in degrees Celsius on 3 Sep '26.
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 for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event that there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market will resolve once the first data point for the following date has been published on the resolution source, or by 11:59 PM ET on the day following the observation date, whichever comes first.
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.
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 for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event that there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market will resolve once the first data point for the following date has been published on the resolution source, or by 11:59 PM ET on the day following the observation date, whichever comes first.
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： Sep 1, 2026, 8:55 AM ET
音量
$2,346終了日
2026/09/03マーケット開始日
Sep 1, 2026, 8:55 AM ETThis market will resolve to the temperature range that contains the highest temperature recorded by NOAA at the Sao Paulo-Guarulhos International Airport Station in degrees Celsius on 3 Sep '26.
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 for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event that there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market will resolve once the first data point for the following date has been published on the resolution source, or by 11:59 PM ET on the day following the observation date, whichever comes first.
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.Forecast models from sources including the National Meteorological Institute and international ensembles indicate a high of 26–28°C for São Paulo on September 3 under mostly sunny skies, light northwest winds, and low humidity following overnight clearing. This positions 27°C as the market leader at 42% implied probability, with 26°C and 28°C close behind, reflecting consensus around typical spring maximums after cooler, rainy conditions on September 1–2. Dry air advection and strong daytime insolation support modest warming above the long-term September average of ~23°C, while model agreement on minimal cloud cover and no precipitation reduces upside risk beyond 29°C. Traders appear to weigh the narrow forecast spread and historical variability in daily maxima when assigning probabilities.
This market will resolve to the temperature range that contains the highest temperature recorded by NOAA at the Sao Paulo-Guarulhos International Airport Station in degrees Celsius on 3 Sep '26.
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 for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event that there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market will resolve once the first data point for the following date has been published on the resolution source, or by 11:59 PM ET on the day following the observation date, whichever comes first.
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.
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 for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event that there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market will resolve once the first data point for the following date has been published on the resolution source, or by 11:59 PM ET on the day following the observation date, whichever comes first.
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.
音量
$2,346終了日
2026/09/03マーケット開始日
Sep 1, 2026, 8:55 AM ETForecast models from sources including the National Meteorological Institute and international ensembles indicate a high of 26–28°C for São Paulo on September 3 under mostly sunny skies, light northwest winds, and low humidity following overnight clearing. This positions 27°C as the market leader at 42% implied probability, with 26°C and 28°C close behind, reflecting consensus around typical spring maximums after cooler, rainy conditions on September 1–2. Dry air advection and strong daytime insolation support modest warming above the long-term September average of ~23°C, while model agreement on minimal cloud cover and no precipitation reduces upside risk beyond 29°C. Traders appear to weigh the narrow forecast spread and historical variability in daily maxima when assigning probabilities.
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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