Current short-term forecasts from multiple meteorological sources project a nighttime low of 25–26°C in Guangzhou on September 16, driven by typical late-summer monsoon moisture, widespread cloud cover, and light winds that limit radiative cooling. This aligns with climatological averages near 24°C while recent model runs show minimal day-to-day shifts in steering patterns or frontal influences. Trader consensus reflected in the closely matched probabilities around mid-20s thresholds captures genuine forecast uncertainty from ensemble spread in precipitation timing and humidity, with resolution hinging on official minimum readings from local stations. Updated model guidance ahead of the date remains the key near-term catalyst.
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16日の広州の最低気温は?
20℃以下 99%
30°C以上 98%
27℃ 40%
21°C 39%
20℃以下
99%
21°C
39%
22°C
39%
23°C
39%
24℃
39%
25°C
21%
26℃
21%
27℃
40%
28℃
39%
29℃
39%
30°C以上
98%
20℃以下 99%
30°C以上 98%
27℃ 40%
21°C 39%
20℃以下
99%
21°C
39%
22°C
39%
23°C
39%
24℃
39%
25°C
21%
26℃
21%
27℃
40%
28℃
39%
29℃
39%
30°C以上
98%
The resolution source for this market will be information from NOAA, specifically the lowest 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 14, 2026, 12:31 AM ET
The resolution source for this market will be information from NOAA, specifically the lowest 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.
Current short-term forecasts from multiple meteorological sources project a nighttime low of 25–26°C in Guangzhou on September 16, driven by typical late-summer monsoon moisture, widespread cloud cover, and light winds that limit radiative cooling. This aligns with climatological averages near 24°C while recent model runs show minimal day-to-day shifts in steering patterns or frontal influences. Trader consensus reflected in the closely matched probabilities around mid-20s thresholds captures genuine forecast uncertainty from ensemble spread in precipitation timing and humidity, with resolution hinging on official minimum readings from local stations. Updated model guidance ahead of the date remains the key near-term catalyst.
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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