Forecast models from multiple sources converge on a daytime maximum of 32–33°C for Guangzhou on September 14 amid scattered thunderstorms, high humidity near 70%, and light northeasterly winds. Cloud cover and rainfall timing create the narrow spread between leading outcomes, as heavier or earlier precipitation can cap peaks near 32°C while breaks allow brief heating toward 34°C. Ensemble variability and historical September averages around 32°C underpin the tight 33–34°C market clustering, with lower probabilities for 35°C or above reflecting limited model support for drier, more unstable conditions that day.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於9月14日廣州最高溫度?
34°C 32%
33°C 31%
35°C 18%
32°C 15%
$12,612 交易量
$12,612 交易量
26°C或以下
<1%
27°C
<1%
28°C
<1%
29°C
<1%
30°C
3%
31°C
8%
32°C
15%
33°C
31%
34°C
32%
35°C
18%
36°C或以上
2%
34°C 32%
33°C 31%
35°C 18%
32°C 15%
$12,612 交易量
$12,612 交易量
26°C或以下
<1%
27°C
<1%
28°C
<1%
29°C
<1%
30°C
3%
31°C
8%
32°C
15%
33°C
31%
34°C
32%
35°C
18%
36°C或以上
2%
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=zggg
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.
市場開放時間: Sep 12, 2026, 12:58 AM ET
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=zggg
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 multiple sources converge on a daytime maximum of 32–33°C for Guangzhou on September 14 amid scattered thunderstorms, high humidity near 70%, and light northeasterly winds. Cloud cover and rainfall timing create the narrow spread between leading outcomes, as heavier or earlier precipitation can cap peaks near 32°C while breaks allow brief heating toward 34°C. Ensemble variability and historical September averages around 32°C underpin the tight 33–34°C market clustering, with lower probabilities for 35°C or above reflecting limited model support for drier, more unstable conditions that day.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於

警惕外部連結哦。
警惕外部連結哦。
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