Recent forecasts for Guangzhou highlight uncertainty in peak temperatures on July 13, with models showing potential moderate rainfall that could limit afternoon highs amid the region's typical subtropical monsoon patterns of high humidity and convective activity. Trader consensus clustering around 36–37°C reflects expectations of partly cloudy conditions allowing strong solar heating, while the spread to 38°C or higher accounts for drier scenarios and the lower probabilities for 32–35°C incorporate greater cloud cover or showers suppressing maxima. Historical July averages near 32°C provide baseline context, but short-term variability in steering patterns and moisture influx creates the narrow differentiation among leading outcomes as new model runs approach.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · ОбновленоСамая высокая температура в Гуанчжоу 13 июля?
36°C 34%
37°C 29%
35°C 14%
38°C 12%
29°C или ниже
<1%
30°C
1%
31°C
1%
32°C
1%
33°C
7%
34°C
4%
35°C
9%
36°C
31%
37°C
29%
38°C
12%
39°C или выше
10%
36°C 34%
37°C 29%
35°C 14%
38°C 12%
29°C или ниже
<1%
30°C
1%
31°C
1%
32°C
1%
33°C
7%
34°C
4%
35°C
9%
36°C
31%
37°C
29%
38°C
12%
39°C или выше
10%
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: Jul 11, 2026, 12:04 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...Recent forecasts for Guangzhou highlight uncertainty in peak temperatures on July 13, with models showing potential moderate rainfall that could limit afternoon highs amid the region's typical subtropical monsoon patterns of high humidity and convective activity. Trader consensus clustering around 36–37°C reflects expectations of partly cloudy conditions allowing strong solar heating, while the spread to 38°C or higher accounts for drier scenarios and the lower probabilities for 32–35°C incorporate greater cloud cover or showers suppressing maxima. Historical July averages near 32°C provide baseline context, but short-term variability in steering patterns and moisture influx creates the narrow differentiation among leading outcomes as new model runs approach.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · Обновлено
Не доверяй внешним ссылкам.
Не доверяй внешним ссылкам.
Часто задаваемые вопросы