Recent forecasts for Guangzhou show September 11 highs clustered near 31–33 °C, with official and ensemble guidance indicating possible thunderstorms or increased cloud cover that could cap daytime peaks. Northerly flow and a modest dip in dew points may limit afternoon heating compared with the preceding days’ 33–35 °C readings, while historical September climatology places the long-term average high near 32 °C. Model spread arises mainly from differences in predicted convective timing and boundary-layer moisture, producing the tight market clustering around 30–33 °C outcomes and underscoring the sensitivity of maximum temperature to small shifts in cloud and precipitation evolution.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于9月11日广州气温最高?
32°C 23%
33°C 21%
30°C 20%
31°C 20%
26°C或以下
1%
27°C
1%
28°C
3%
29°C
7%
30°C
20%
31°C
20%
32°C
23%
33°C
21%
34°C
7%
35°C
9%
36°C或更高
7%
32°C 23%
33°C 21%
30°C 20%
31°C 20%
26°C或以下
1%
27°C
1%
28°C
3%
29°C
7%
30°C
20%
31°C
20%
32°C
23%
33°C
21%
34°C
7%
35°C
9%
36°C或更高
7%
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.
市场开放时间: Sep 9, 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.
Recent forecasts for Guangzhou show September 11 highs clustered near 31–33 °C, with official and ensemble guidance indicating possible thunderstorms or increased cloud cover that could cap daytime peaks. Northerly flow and a modest dip in dew points may limit afternoon heating compared with the preceding days’ 33–35 °C readings, while historical September climatology places the long-term average high near 32 °C. Model spread arises mainly from differences in predicted convective timing and boundary-layer moisture, producing the tight market clustering around 30–33 °C outcomes and underscoring the sensitivity of maximum temperature to small shifts in cloud and precipitation evolution.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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