Forecasts for Guangzhou on June 16 point to a maximum temperature near 29–31 °C, with market-implied odds reflecting close trader consensus amid model spread. Subtropical monsoon conditions, including persistent cloud cover, thundery showers, and southeasterly flow, are limiting daytime heating and keeping peaks below the seasonal 32 °C average. Recent model runs show slight differences in rainfall timing and intensity, which can shift the daily high by 1–2 °C depending on how much solar radiation reaches the surface. Official guidance from regional meteorological services emphasizes high humidity and scattered convection as the dominant factors moderating extremes, leaving the precise peak sensitive to the exact placement and duration of showers in the next model updates.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · ActualizadoHighest temperature in Guangzhou on June 16?
30°C 30%
29°C 26%
31°C 23%
32°C 10.9%
23°C or below
<1%
24°C
<1%
25°C
<1%
26°C
1%
27°C
6%
28°C
9%
29°C
26%
30°C
30%
31°C
23%
32°C
11%
33°C or higher
2%
30°C 30%
29°C 26%
31°C 23%
32°C 10.9%
23°C or below
<1%
24°C
<1%
25°C
<1%
26°C
1%
27°C
6%
28°C
9%
29°C
26%
30°C
30%
31°C
23%
32°C
11%
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.
Mercado abierto: Jun 14, 2026, 12:07 AM ET
Fuente de resolución
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.
Fuente de resolución
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Forecasts for Guangzhou on June 16 point to a maximum temperature near 29–31 °C, with market-implied odds reflecting close trader consensus amid model spread. Subtropical monsoon conditions, including persistent cloud cover, thundery showers, and southeasterly flow, are limiting daytime heating and keeping peaks below the seasonal 32 °C average. Recent model runs show slight differences in rainfall timing and intensity, which can shift the daily high by 1–2 °C depending on how much solar radiation reaches the surface. Official guidance from regional meteorological services emphasizes high humidity and scattered convection as the dominant factors moderating extremes, leaving the precise peak sensitive to the exact placement and duration of showers in the next model updates.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
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Cuidado con los enlaces externos.
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