Widespread cloud cover and heavy rainfall expected across Guangzhou on August 31 are the main factors capping maximum temperatures near 30–32 °C in the latest model guidance. Persistent monsoon moisture and northeast flow favor widespread thunderstorms that reduce solar insolation and promote evaporative cooling, keeping surface highs below the 33 °C climatological average. This scientific setup explains the tight clustering of market-implied probabilities around 31–34 °C, where small differences in convective timing or brief cloud breaks could shift the daily peak by 1–2 °C. Traders appear to weigh the high likelihood of suppressed heating against residual uncertainty in exact rainfall timing. Updated runs from the China Meteorological Administration and global ensembles will provide the next key data points 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8月31日の広州の最高気温は?
31°C 27%
32℃ 23%
33℃ 21%
34℃ 20%
26℃以下
<1%
27°C
<1%
28℃
1%
29℃
1%
30°C
4%
31°C
25%
32℃
23%
33℃
21%
34℃
20%
35℃
11%
36℃以上
1%
31°C 27%
32℃ 23%
33℃ 21%
34℃ 20%
26℃以下
<1%
27°C
<1%
28℃
1%
29℃
1%
30°C
4%
31°C
25%
32℃
23%
33℃
21%
34℃
20%
35℃
11%
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.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market can not resolve until the first data point for the following date has been published on the resolution source.
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: Aug 29, 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.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market can not resolve until the first data point for the following date has been published on the resolution source.
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.
Widespread cloud cover and heavy rainfall expected across Guangzhou on August 31 are the main factors capping maximum temperatures near 30–32 °C in the latest model guidance. Persistent monsoon moisture and northeast flow favor widespread thunderstorms that reduce solar insolation and promote evaporative cooling, keeping surface highs below the 33 °C climatological average. This scientific setup explains the tight clustering of market-implied probabilities around 31–34 °C, where small differences in convective timing or brief cloud breaks could shift the daily peak by 1–2 °C. Traders appear to weigh the high likelihood of suppressed heating against residual uncertainty in exact rainfall timing. Updated runs from the China Meteorological Administration and global ensembles will provide the next key data points 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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