Trader consensus clusters around 31–33°C for Guangzhou’s July 15 maximum, reflecting short-range model guidance from the China Meteorological Administration and international ensembles that show afternoon temperatures near the seasonal 33°C average but tempered by scattered thunderstorms and cloud cover expected to limit peak heating. Subtropical monsoon conditions, with high humidity and southerly flow, favor convective development that can suppress daytime highs by 1–2°C on any given day, while clearer intervals allow brief spikes toward 34°C. Recent broader heat anomalies across southern China have kept probabilities for sub-30°C outcomes low, yet the tight spread among leading bins underscores forecast uncertainty in exact convective timing and intensity over the next 48 hours.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jourLa température la plus élevée à Guangzhou le 15 juillet ?
32°C 35%
31°C 32%
33°C 16%
30°C 8%
26°C ou moins
<1%
27°C
<1%
28°C
1%
29°C
3%
30°C
8%
31°C
32%
32°C
35%
33°C
16%
34°C
6%
35°C
1%
36°C ou plus
<1%
32°C 35%
31°C 32%
33°C 16%
30°C 8%
26°C ou moins
<1%
27°C
<1%
28°C
1%
29°C
3%
30°C
8%
31°C
32%
32°C
35%
33°C
16%
34°C
6%
35°C
1%
36°C ou plus
<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.
Marché ouvert : Jul 13, 2026, 12:04 AM ET
Source de résolution
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.
Source de résolution
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Trader consensus clusters around 31–33°C for Guangzhou’s July 15 maximum, reflecting short-range model guidance from the China Meteorological Administration and international ensembles that show afternoon temperatures near the seasonal 33°C average but tempered by scattered thunderstorms and cloud cover expected to limit peak heating. Subtropical monsoon conditions, with high humidity and southerly flow, favor convective development that can suppress daytime highs by 1–2°C on any given day, while clearer intervals allow brief spikes toward 34°C. Recent broader heat anomalies across southern China have kept probabilities for sub-30°C outcomes low, yet the tight spread among leading bins underscores forecast uncertainty in exact convective timing and intensity over the next 48 hours.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour
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