Current forecasts for Guangzhou on July 5, 2026, center on 29–32°C maxima amid the East Asian summer monsoon, with scattered thunderstorms and showers expected to limit insolation and enhance evaporative cooling. Ensemble models show modest spread due to variable cloud cover and timing of convective activity, which can suppress daytime peaks by 2–4°C relative to clear-sky potential. Regional steering by the western Pacific subtropical high and proximity to the monsoon trough introduce uncertainty in rainfall coverage, directly influencing the narrow probability distribution across 29–32°C outcomes. Historical July baselines average 32–33°C, but recent model runs emphasize moisture-laden conditions as the dominant near-term constraint on extreme heat.
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 jourHighest temperature in Guangzhou on July 5?
31°C 33%
30°C 24%
32°C 21%
29°C 8%
24°C or below
<1%
25°C
<1%
26°C
<1%
27°C
1%
28°C
5%
29°C
8%
30°C
24%
31°C
33%
32°C
21%
33°C
8%
34°C or higher
2%
31°C 33%
30°C 24%
32°C 21%
29°C 8%
24°C or below
<1%
25°C
<1%
26°C
<1%
27°C
1%
28°C
5%
29°C
8%
30°C
24%
31°C
33%
32°C
21%
33°C
8%
34°C or higher
2%
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 3, 2026, 12:03 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...Current forecasts for Guangzhou on July 5, 2026, center on 29–32°C maxima amid the East Asian summer monsoon, with scattered thunderstorms and showers expected to limit insolation and enhance evaporative cooling. Ensemble models show modest spread due to variable cloud cover and timing of convective activity, which can suppress daytime peaks by 2–4°C relative to clear-sky potential. Regional steering by the western Pacific subtropical high and proximity to the monsoon trough introduce uncertainty in rainfall coverage, directly influencing the narrow probability distribution across 29–32°C outcomes. Historical July baselines average 32–33°C, but recent model runs emphasize moisture-laden conditions as the dominant near-term constraint on extreme heat.
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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