Latest ensemble forecasts from global numerical weather prediction models drive the tight clustering around 33°C (38% implied probability) and 34°C (29%) as the leading outcomes for Guangzhou's maximum temperature on September 13. These align with the city's typical mid-September climatology of 31.9–32.2°C average highs, potentially elevated by persistent subtropical high pressure and limited cloud cover. Outcome differentiation arises mainly from uncertainties in short-range model physics, such as the timing and extent of afternoon convection or boundary-layer mixing, which can shift daytime peaks by 1–2°C. With only one day of lead time, forecast skill remains high, though traders monitor updates from agencies like the China Meteorological Administration ahead of official station observations that will resolve the market.
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13日の広州の最高気温は?
33℃ 38%
34℃ 30%
32℃ 18%
31°C 9%
26℃以下
<1%
27℃
<1%
28℃
<1%
29°C
1%
30°C
3%
31°C
9%
32℃
18%
33℃
38%
34℃
30%
35℃
5%
36℃以上
1%
33℃ 38%
34℃ 30%
32℃ 18%
31°C 9%
26℃以下
<1%
27℃
<1%
28℃
<1%
29°C
1%
30°C
3%
31°C
9%
32℃
18%
33℃
38%
34℃
30%
35℃
5%
36℃以上
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=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 11, 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.
Latest ensemble forecasts from global numerical weather prediction models drive the tight clustering around 33°C (38% implied probability) and 34°C (29%) as the leading outcomes for Guangzhou's maximum temperature on September 13. These align with the city's typical mid-September climatology of 31.9–32.2°C average highs, potentially elevated by persistent subtropical high pressure and limited cloud cover. Outcome differentiation arises mainly from uncertainties in short-range model physics, such as the timing and extent of afternoon convection or boundary-layer mixing, which can shift daytime peaks by 1–2°C. With only one day of lead time, forecast skill remains high, though traders monitor updates from agencies like the China Meteorological Administration ahead of official station observations that will resolve the market.
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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