Market-implied odds reflect real-time meteorological observations and model consensus confirming a daytime peak of 38°C in Guangzhou on June 4, driven by clear skies allowing strong solar heating under subtropical high pressure before afternoon convection develops. Official forecasts from the Guangzhou Central Meteorological Observatory project a high near this threshold, consistent with June climatology where highs frequently reach 34–37°C amid high humidity that amplifies the heat index. Thunderstorm initiation later in the day is expected to cap further warming. This positioning could shift only if revised surface observations or a faster storm arrival lowers the recorded maximum below the threshold before final data validation.
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 4?
38°C 100.0%
31°C or below <1%
32°C <1%
33°C <1%
$195,405 Vol.
$195,405 Vol.
31°C or below
No
32°C
No
33°C
No
34°C
No
35°C
No
36°C
No
37°C
No
38°C
Yes
39°C
No
40°C
No
41°C or higher
No
38°C 100.0%
31°C or below <1%
32°C <1%
33°C <1%
$195,405 Vol.
$195,405 Vol.
31°C or below
No
32°C
No
33°C
No
34°C
No
35°C
No
36°C
No
37°C
No
38°C
Yes
39°C
No
40°C
No
41°C or higher
No
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 2, 2026, 12:08 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Hasil diajukan: No
Tidak ada sengketa
Hasil akhir: No
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...Hasil diajukan: No
Tidak ada sengketa
Hasil akhir: No
Market-implied odds reflect real-time meteorological observations and model consensus confirming a daytime peak of 38°C in Guangzhou on June 4, driven by clear skies allowing strong solar heating under subtropical high pressure before afternoon convection develops. Official forecasts from the Guangzhou Central Meteorological Observatory project a high near this threshold, consistent with June climatology where highs frequently reach 34–37°C amid high humidity that amplifies the heat index. Thunderstorm initiation later in the day is expected to cap further warming. This positioning could shift only if revised surface observations or a faster storm arrival lowers the recorded maximum below the threshold before final data validation.
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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