Traders see closely matched probabilities across 35–37°C because ensemble forecasts from major global models show only modest spread in peak daytime heating for Guangzhou on July 24. Recent upper-level ridging has supported daytime temperatures several degrees above seasonal normals, but increasing moisture from the East Asian monsoon and variable low-level cloud cover introduce uncertainty in the exact maximum. Urban heat-island effects in the Pearl River Delta can add 1–2°C locally, while any increase in afternoon convection or sea-breeze influence could cap the high near 35°C. Updated model runs and regional observations expected in the next 24–48 hours will narrow the range and likely shift the tightest probabilities.
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 July 24?
37°C 31%
34°C 29%
35°C 23%
36°C 21%
28°C or below
<1%
29°C
<1%
30°C
1%
31°C
1%
32°C
8%
33°C
12%
34°C
16%
35°C
23%
36°C
21%
37°C
31%
38°C or higher
3%
37°C 31%
34°C 29%
35°C 23%
36°C 21%
28°C or below
<1%
29°C
<1%
30°C
1%
31°C
1%
32°C
8%
33°C
12%
34°C
16%
35°C
23%
36°C
21%
37°C
31%
38°C or higher
3%
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: Jul 22, 2026, 12:04 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...Traders see closely matched probabilities across 35–37°C because ensemble forecasts from major global models show only modest spread in peak daytime heating for Guangzhou on July 24. Recent upper-level ridging has supported daytime temperatures several degrees above seasonal normals, but increasing moisture from the East Asian monsoon and variable low-level cloud cover introduce uncertainty in the exact maximum. Urban heat-island effects in the Pearl River Delta can add 1–2°C locally, while any increase in afternoon convection or sea-breeze influence could cap the high near 35°C. Updated model runs and regional observations expected in the next 24–48 hours will narrow the range and likely shift the tightest probabilities.
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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