Recent forecasts from multiple models, including GFS and ECMWF runs, indicate a highest temperature near 32–33°C in Guangzhou on September 12 under mostly cloudy skies with persistent northeast winds of 4–5 m/s and moderate humidity around 55–65%. This aligns closely with the 1991–2020 climatological average high of 32.3°C for the date. Trader sentiment favoring 34°C at 34.5% implied probability reflects uncertainty in afternoon clearing that could allow brief radiative heating, alongside typical model spread in subtropical late-summer conditions. Key variables include evolving cloud cover, steering patterns that might reduce wind or enhance insolation, and any late adjustments from official China Meteorological Administration updates before 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9月12日の広州の最高気温は?
34℃ 40%
33°C 33%
32℃ 13%
35℃ 12%
27℃以下
<1%
28℃
<1%
29°C
<1%
30℃
2%
31℃
10%
32℃
12%
33°C
33%
34℃
40%
35℃
12%
36℃
3%
37℃以上
2%
34℃ 40%
33°C 33%
32℃ 13%
35℃ 12%
27℃以下
<1%
28℃
<1%
29°C
<1%
30℃
2%
31℃
10%
32℃
12%
33°C
33%
34℃
40%
35℃
12%
36℃
3%
37℃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.
マーケット開始日: Sep 10, 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 from multiple models, including GFS and ECMWF runs, indicate a highest temperature near 32–33°C in Guangzhou on September 12 under mostly cloudy skies with persistent northeast winds of 4–5 m/s and moderate humidity around 55–65%. This aligns closely with the 1991–2020 climatological average high of 32.3°C for the date. Trader sentiment favoring 34°C at 34.5% implied probability reflects uncertainty in afternoon clearing that could allow brief radiative heating, alongside typical model spread in subtropical late-summer conditions. Key variables include evolving cloud cover, steering patterns that might reduce wind or enhance insolation, and any late adjustments from official China Meteorological Administration updates before 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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