Traders are weighting outcomes around 32–34°C for Guangzhou’s July 16 maximum because short-range numerical weather prediction ensembles from the China Meteorological Administration and global models show a warm, humid subtropical airmass persisting over southern China, with afternoon highs modulated by variable convective cloud cover and possible scattered showers or thunderstorms. Recent observations from earlier July indicate typical peaks near 33°C under partly cloudy conditions, while any increase in monsoon-related moisture or organized convection could limit insolation and cap readings at 32°C; conversely, brief clearing would favor 34°C. Historical July climatology places the daily average high near 33°C, with urban heat-island effects in Guangzhou adding a degree or two on days with lighter winds. Model spread in boundary-layer moisture and timing of any diurnal storms creates the tight probability distribution, with new 48-hour guidance and updated CMA runs expected to refine the most likely peak before resolution.
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7月16日广州气温最高?
33°C 30%
32°C 30%
31°C 18%
34°C 11%
26°C或以下
<1%
27°C
<1%
28°C
<1%
29°C
2%
30°C
5%
31°C
18%
32°C
30%
33°C
30%
34°C
11%
35°C
6%
36°C或更高
<1%
33°C 30%
32°C 30%
31°C 18%
34°C 11%
26°C或以下
<1%
27°C
<1%
28°C
<1%
29°C
2%
30°C
5%
31°C
18%
32°C
30%
33°C
30%
34°C
11%
35°C
6%
36°C或更高
<1%
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Guangzhou Baiyun International Airport Station, available here: https://www.wunderground.com/history/daily/cn/guangzhou/ZGGG.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °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.
市场开放时间: Jul 14, 2026, 12:04 AM ET
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Guangzhou Baiyun International Airport Station, available here: https://www.wunderground.com/history/daily/cn/guangzhou/ZGGG.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °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.
Traders are weighting outcomes around 32–34°C for Guangzhou’s July 16 maximum because short-range numerical weather prediction ensembles from the China Meteorological Administration and global models show a warm, humid subtropical airmass persisting over southern China, with afternoon highs modulated by variable convective cloud cover and possible scattered showers or thunderstorms. Recent observations from earlier July indicate typical peaks near 33°C under partly cloudy conditions, while any increase in monsoon-related moisture or organized convection could limit insolation and cap readings at 32°C; conversely, brief clearing would favor 34°C. Historical July climatology places the daily average high near 33°C, with urban heat-island effects in Guangzhou adding a degree or two on days with lighter winds. Model spread in boundary-layer moisture and timing of any diurnal storms creates the tight probability distribution, with new 48-hour guidance and updated CMA runs expected to refine the most likely peak before resolution.
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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