Recent ensemble forecasts from the China Meteorological Administration and global models cluster near 28°C for Guangzhou’s May 17 peak temperature, driven by variable cloud cover and patchy rain that limits daytime solar heating. This positions 28°C as the market frontrunner while closely matched probabilities for 27°C and 29°C reflect genuine uncertainty in convective activity. May climatology places average daily highs around 29°C, yet widespread morning clouds and scattered showers frequently suppress maxima by several degrees compared to clear subtropical ridge patterns. Official observations from stations such as Guangzhou Baiyun International Airport will determine the exact outcome, with updated model runs and real-time satellite data offering the next catalysts for shifts in trader sentiment.
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 May 17?
28°C 29%
27°C 20%
29°C 18%
30°C 12.4%
$10,959 Vol.
$10,959 Vol.
22°C or below
<1%
23°C
<1%
24°C
<1%
25°C
1%
26°C
8%
27°C
20%
28°C
29%
29°C
18%
30°C
12%
31°C
1%
32°C or higher
1%
28°C 29%
27°C 20%
29°C 18%
30°C 12.4%
$10,959 Vol.
$10,959 Vol.
22°C or below
<1%
23°C
<1%
24°C
<1%
25°C
1%
26°C
8%
27°C
20%
28°C
29%
29°C
18%
30°C
12%
31°C
1%
32°C or higher
1%
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Guangzhou Baiyun International Airport Station once information is finalized, 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 to "Yes" until all data for this date has been finalized.
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.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Pasar Dibuka: May 15, 2026, 12:06 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGThe resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Guangzhou Baiyun International Airport Station once information is finalized, 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 to "Yes" until all data for this date has been finalized.
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.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Sumber Resolusi
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGRecent ensemble forecasts from the China Meteorological Administration and global models cluster near 28°C for Guangzhou’s May 17 peak temperature, driven by variable cloud cover and patchy rain that limits daytime solar heating. This positions 28°C as the market frontrunner while closely matched probabilities for 27°C and 29°C reflect genuine uncertainty in convective activity. May climatology places average daily highs around 29°C, yet widespread morning clouds and scattered showers frequently suppress maxima by several degrees compared to clear subtropical ridge patterns. Official observations from stations such as Guangzhou Baiyun International Airport will determine the exact outcome, with updated model runs and real-time satellite data offering the next catalysts for shifts in trader sentiment.
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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