Current short-term forecasts for Guangzhou indicate a daytime high near 29–30°C on June 18 amid widespread showers and heavy rain, with model consensus from regional guidance pointing to limited afternoon heating due to persistent cloud cover and precipitation. Subtropical moisture advection from the South China Sea, combined with a weak steering pattern, favors convective activity that typically caps temperatures below seasonal climatological peaks around 32°C. Traders assign nearly equal weight to the 29°C and 30°C bins because small differences in shower timing or intensity can shift the observed maximum by 1°C, while lower-probability outcomes reflect residual model spread on clearing windows. Updated runs from agencies like the China Meteorological Administration and international ensembles will refine this outlook ahead of resolution.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · AtualizadoTemperatura mais alta em Guangzhou em 18 de junho?
29°C 30%
30°C 29%
31°C 14%
28°C 14%
23°C ou menos
<1%
24°C
<1%
25°C
<1%
26°C
1%
27°C
7%
28°C
14%
29°C
30%
30°C
29%
31°C
14%
32°C
3%
33°C ou mais
2%
29°C 30%
30°C 29%
31°C 14%
28°C 14%
23°C ou menos
<1%
24°C
<1%
25°C
<1%
26°C
1%
27°C
7%
28°C
14%
29°C
30%
30°C
29%
31°C
14%
32°C
3%
33°C ou mais
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 Aberto: Jun 16, 2026, 12:05 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...Current short-term forecasts for Guangzhou indicate a daytime high near 29–30°C on June 18 amid widespread showers and heavy rain, with model consensus from regional guidance pointing to limited afternoon heating due to persistent cloud cover and precipitation. Subtropical moisture advection from the South China Sea, combined with a weak steering pattern, favors convective activity that typically caps temperatures below seasonal climatological peaks around 32°C. Traders assign nearly equal weight to the 29°C and 30°C bins because small differences in shower timing or intensity can shift the observed maximum by 1°C, while lower-probability outcomes reflect residual model spread on clearing windows. Updated runs from agencies like the China Meteorological Administration and international ensembles will refine this outlook ahead of resolution.
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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