Recent numerical weather prediction models from agencies like the Guangzhou Central Meteorological Observatory show ensemble consensus clustering around a daytime maximum of 30–31 °C for June 16, driven by typical early-summer subtropical monsoon flow, moderate insolation, and boundary-layer moisture that supports afternoon convective clouds and scattered showers capable of capping peak heating. Historical June climatology for Guangzhou places average highs near 31 °C, with high humidity and frequent rainfall episodes introducing variability of 1–2 °C depending on cloud cover and timing of precipitation. Trader-implied odds remain tightly bunched because short-range forecast uncertainty—primarily steering patterns and convective timing—still allows modest shifts between the 29 °C and 31 °C bins ahead of final observational data.
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 16?
30°C 30%
29°C 27%
31°C 16%
28°C 11%
23°C or below
<1%
24°C
1%
25°C
1%
26°C
3%
27°C
7%
28°C
11%
29°C
27%
30°C
30%
31°C
16%
32°C
4%
33°C or higher
2%
30°C 30%
29°C 27%
31°C 16%
28°C 11%
23°C or below
<1%
24°C
1%
25°C
1%
26°C
3%
27°C
7%
28°C
11%
29°C
27%
30°C
30%
31°C
16%
32°C
4%
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.
Pasar Dibuka: Jun 14, 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 numerical weather prediction models from agencies like the Guangzhou Central Meteorological Observatory show ensemble consensus clustering around a daytime maximum of 30–31 °C for June 16, driven by typical early-summer subtropical monsoon flow, moderate insolation, and boundary-layer moisture that supports afternoon convective clouds and scattered showers capable of capping peak heating. Historical June climatology for Guangzhou places average highs near 31 °C, with high humidity and frequent rainfall episodes introducing variability of 1–2 °C depending on cloud cover and timing of precipitation. Trader-implied odds remain tightly bunched because short-range forecast uncertainty—primarily steering patterns and convective timing—still allows modest shifts between the 29 °C and 31 °C bins ahead of final observational data.
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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