Latest numerical weather prediction ensembles indicate a narrow band of possible daily maximum temperatures for Guangzhou on June 28, reflected in the closely matched market-implied odds peaking at 32°C. Subtropical monsoon dynamics, including variable afternoon convection, cloud cover, and onshore flow from the South China Sea, create the primary forecast uncertainty. Typical late-June climatology features highs near 32°C, though the urban heat island effect in this densely built coastal city can add 1–2°C to daytime peaks under clear skies. Divergent model solutions on precipitation timing and wind strength differentiate the 31–34°C outcomes, with new guidance from the China Meteorological Administration expected to refine probabilities before resolution.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-updateHighest temperature in Guangzhou on June 28?
32°C 29%
33°C 28%
34°C 18%
31°C 16%
26°C or below
<1%
27°C
1%
28°C
1%
29°C
2%
30°C
8%
31°C
16%
32°C
29%
33°C
28%
34°C
18%
35°C
2%
36°C or higher
1%
32°C 29%
33°C 28%
34°C 18%
31°C 16%
26°C or below
<1%
27°C
1%
28°C
1%
29°C
2%
30°C
8%
31°C
16%
32°C
29%
33°C
28%
34°C
18%
35°C
2%
36°C or higher
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.
Binuksan ang Market: Jun 26, 2026, 12:03 AM ET
Resolution Source
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...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.
Resolution Source
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Latest numerical weather prediction ensembles indicate a narrow band of possible daily maximum temperatures for Guangzhou on June 28, reflected in the closely matched market-implied odds peaking at 32°C. Subtropical monsoon dynamics, including variable afternoon convection, cloud cover, and onshore flow from the South China Sea, create the primary forecast uncertainty. Typical late-June climatology features highs near 32°C, though the urban heat island effect in this densely built coastal city can add 1–2°C to daytime peaks under clear skies. Divergent model solutions on precipitation timing and wind strength differentiate the 31–34°C outcomes, with new guidance from the China Meteorological Administration expected to refine probabilities before resolution.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update
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