Guangzhou's subtropical monsoon climate in mid-June typically produces daily highs near 31–32°C, with high humidity and frequent afternoon thunderstorms that can cap peak readings. Current forecasts align with this baseline, showing no significant heatwave or cooling front, which underpins the strong trader consensus around 32°C as the most probable outcome for June 14. Model guidance from regional agencies indicates limited intensification potential due to cloud cover and sea-breeze effects from the South China Sea, keeping the chance of 33°C or higher modest while rendering much lower temperatures highly unlikely given seasonal norms. Upcoming official observations from the China Meteorological Administration will resolve the market.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · AktualisiertHighest temperature in Guangzhou on June 14?
32°C 75.8%
33°C or higher 12.4%
31°C 1.0%
23°C or below <1%
$40,421 Vol.
$40,421 Vol.
23°C or below
<1%
24°C
<1%
25°C
<1%
26°C
<1%
27°C
<1%
28°C
<1%
29°C
<1%
30°C
<1%
31°C
1%
32°C
76%
33°C or higher
12%
32°C 75.8%
33°C or higher 12.4%
31°C 1.0%
23°C or below <1%
$40,421 Vol.
$40,421 Vol.
23°C or below
<1%
24°C
<1%
25°C
<1%
26°C
<1%
27°C
<1%
28°C
<1%
29°C
<1%
30°C
<1%
31°C
1%
32°C
76%
33°C or higher
12%
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.
Markt eröffnet: Jun 12, 2026, 12:17 AM ET
Abwicklungsquelle
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.
Abwicklungsquelle
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Guangzhou's subtropical monsoon climate in mid-June typically produces daily highs near 31–32°C, with high humidity and frequent afternoon thunderstorms that can cap peak readings. Current forecasts align with this baseline, showing no significant heatwave or cooling front, which underpins the strong trader consensus around 32°C as the most probable outcome for June 14. Model guidance from regional agencies indicates limited intensification potential due to cloud cover and sea-breeze effects from the South China Sea, keeping the chance of 33°C or higher modest while rendering much lower temperatures highly unlikely given seasonal norms. Upcoming official observations from the China Meteorological Administration will resolve the market.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert
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