Recent ensemble forecasts from major numerical weather prediction models converge on a daytime maximum of 32–33 °C at Guangzhou Baiyun International Airport for June 11, directly supporting the market’s heavy weighting toward those outcomes. In this subtropical monsoon climate, light northeasterly flow, elevated boundary-layer moisture, and near-climatological early-June insolation favor gradual warming close to the seasonal mean of roughly 31 °C. Variable afternoon cloud cover and scattered convective showers introduce the modest 1–2 °C spread reflected in the secondary probability for 33 °C. Surface observations show persistently high humidity and light winds that suppress extreme heat advection, keeping the distribution tightly centered around the leading bins while remaining sensitive to any final model updates before peak heating.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · AtualizadoHighest temperature in Guangzhou on June 11?
32°C 76%
33°C 27%
34°C 1.9%
35°C <1%
$60,181 Vol.
$60,181 Vol.
27°C or below
<1%
28°C
<1%
29°C
<1%
30°C
<1%
31°C
<1%
32°C
76%
33°C
26%
34°C
2%
35°C
<1%
36°C
<1%
37°C or higher
<1%
32°C 76%
33°C 27%
34°C 1.9%
35°C <1%
$60,181 Vol.
$60,181 Vol.
27°C or below
<1%
28°C
<1%
29°C
<1%
30°C
<1%
31°C
<1%
32°C
76%
33°C
26%
34°C
2%
35°C
<1%
36°C
<1%
37°C or higher
<1%
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 Aberto: Jun 9, 2026, 12:22 AM ET
Fonte de resolução
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 de resolução
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Recent ensemble forecasts from major numerical weather prediction models converge on a daytime maximum of 32–33 °C at Guangzhou Baiyun International Airport for June 11, directly supporting the market’s heavy weighting toward those outcomes. In this subtropical monsoon climate, light northeasterly flow, elevated boundary-layer moisture, and near-climatological early-June insolation favor gradual warming close to the seasonal mean of roughly 31 °C. Variable afternoon cloud cover and scattered convective showers introduce the modest 1–2 °C spread reflected in the secondary probability for 33 °C. Surface observations show persistently high humidity and light winds that suppress extreme heat advection, keeping the distribution tightly centered around the leading bins while remaining sensitive to any final model updates before peak heating.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · Atualizado
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