Recent forecasts from numerical weather models and the Guangzhou Central Meteorological Observatory indicate a likely daytime maximum near 29–30 °C on June 15, supported by moderate southerly flow, high boundary-layer moisture, and persistent cloud cover that limits peak insolation in this subtropical monsoon regime. Scattered afternoon convection and possible heavy rain episodes, already evident in current observations, introduce the main uncertainty: reduced solar heating could cap readings at 28 °C, while any clearing or delayed showers might briefly allow 31 °C. Historical June averages near 31 °C provide context, yet the tight clustering of market-implied probabilities around 28–30 °C reflects high short-term model agreement tempered by typical variability in convective timing and intensity.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Guangzhou on June 15?
30°C 30%
29°C 26%
28°C 21%
31°C 15%
22°C or below
<1%
23°C
<1%
24°C
<1%
25°C
<1%
26°C
1%
27°C
6%
28°C
21%
29°C
26%
30°C
30%
31°C
15%
32°C or higher
7%
30°C 30%
29°C 26%
28°C 21%
31°C 15%
22°C or below
<1%
23°C
<1%
24°C
<1%
25°C
<1%
26°C
1%
27°C
6%
28°C
21%
29°C
26%
30°C
30%
31°C
15%
32°C or higher
7%
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.
Pasar Dibuka: Jun 13, 2026, 12:07 AM ET
Sumber Resolusi
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.
Sumber Resolusi
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Recent forecasts from numerical weather models and the Guangzhou Central Meteorological Observatory indicate a likely daytime maximum near 29–30 °C on June 15, supported by moderate southerly flow, high boundary-layer moisture, and persistent cloud cover that limits peak insolation in this subtropical monsoon regime. Scattered afternoon convection and possible heavy rain episodes, already evident in current observations, introduce the main uncertainty: reduced solar heating could cap readings at 28 °C, while any clearing or delayed showers might briefly allow 31 °C. Historical June averages near 31 °C provide context, yet the tight clustering of market-implied probabilities around 28–30 °C reflects high short-term model agreement tempered by typical variability in convective timing and intensity.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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