Recent forecasts from agencies like the Guangzhou Central Meteorological Observatory and models referenced by BBC Weather and timeanddate indicate a highest temperature near 28–30°C on June 16, with thundery showers and overcast skies limiting daytime heating. Trader sentiment clusters tightly around 29–31°C because subtropical monsoon conditions introduce high uncertainty in cloud cover, convective timing, and moisture advection from the South China Sea. Slight model divergences in pressure gradients or sea-breeze effects could shift the daily maximum by 1–2°C, while historical mid-June averages near 31°C provide context but are modulated by current wet-season patterns. Upcoming updated runs from regional models will likely refine these probabilities ahead of resolution.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · AggiornatoHighest temperature in Guangzhou on June 16?
30°C 30%
29°C 27%
31°C 18%
28°C 9%
23°C or below
<1%
24°C
<1%
25°C
<1%
26°C
2%
27°C
6%
28°C
9%
29°C
27%
30°C
30%
31°C
18%
32°C
4%
33°C or higher
2%
30°C 30%
29°C 27%
31°C 18%
28°C 9%
23°C or below
<1%
24°C
<1%
25°C
<1%
26°C
2%
27°C
6%
28°C
9%
29°C
27%
30°C
30%
31°C
18%
32°C
4%
33°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.
Mercato aperto: Jun 14, 2026, 12:07 AM ET
Fonte di risoluzione
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.
Fonte di risoluzione
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Recent forecasts from agencies like the Guangzhou Central Meteorological Observatory and models referenced by BBC Weather and timeanddate indicate a highest temperature near 28–30°C on June 16, with thundery showers and overcast skies limiting daytime heating. Trader sentiment clusters tightly around 29–31°C because subtropical monsoon conditions introduce high uncertainty in cloud cover, convective timing, and moisture advection from the South China Sea. Slight model divergences in pressure gradients or sea-breeze effects could shift the daily maximum by 1–2°C, while historical mid-June averages near 31°C provide context but are modulated by current wet-season patterns. Upcoming updated runs from regional models will likely refine these probabilities ahead of resolution.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · Aggiornato
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