Heavy rainfall and extensive cloud cover expected over Guangzhou on June 17, driven by the East Asian monsoon and a strengthening low-pressure trough, represent the main factors moderating peak temperatures and shaping trader probabilities clustered around 29–31 °C. Numerical weather models show modest consensus on daytime maxima near 30 °C under persistent showers that limit solar heating and enhance evaporative cooling, while any delays in precipitation could allow brief breaks of insolation to push readings toward 32 °C. This uncertainty in timing and intensity, set against June’s climatological average high of approximately 31 °C, explains the relatively flat probability distribution across the leading outcomes. Updated model runs and official guidance from the Guangzhou Central Meteorological Observatory over the next 48 hours will provide the clearest signals for resolution.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · ОбновленоHighest temperature in Guangzhou on June 17?
30°C 26%
29°C 21%
31°C 18%
28°C 16%
23°C or below
<1%
24°C
1%
25°C
1%
26°C
9%
27°C
9%
28°C
16%
29°C
21%
30°C
26%
31°C
18%
32°C
11%
33°C or higher
5%
30°C 26%
29°C 21%
31°C 18%
28°C 16%
23°C or below
<1%
24°C
1%
25°C
1%
26°C
9%
27°C
9%
28°C
16%
29°C
21%
30°C
26%
31°C
18%
32°C
11%
33°C or higher
5%
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.
Открытие рынка: Jun 15, 2026, 12:24 AM ET
Источник определения исхода
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.
Источник определения исхода
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Heavy rainfall and extensive cloud cover expected over Guangzhou on June 17, driven by the East Asian monsoon and a strengthening low-pressure trough, represent the main factors moderating peak temperatures and shaping trader probabilities clustered around 29–31 °C. Numerical weather models show modest consensus on daytime maxima near 30 °C under persistent showers that limit solar heating and enhance evaporative cooling, while any delays in precipitation could allow brief breaks of insolation to push readings toward 32 °C. This uncertainty in timing and intensity, set against June’s climatological average high of approximately 31 °C, explains the relatively flat probability distribution across the leading outcomes. Updated model runs and official guidance from the Guangzhou Central Meteorological Observatory over the next 48 hours will provide the clearest signals for resolution.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · Обновлено
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