Recent ensemble forecasts for Chengdu place the June 29 high near 28–30 °C, consistent with the market’s tight clustering on those bins. The dominant controls are the early East Asian monsoon transition, high regional humidity in the Sichuan Basin, and variable cloud cover from scattered showers or thundershowers that reduce insolation. Persistent overcast or convective rain tends to cap readings near 27–28 °C, while partial clearing under light northeasterly flow allows greater daytime heating toward 29–31 °C. Model spreads remain narrow given the absence of a strong subtropical ridge, aligning with historical June climatology of 28–31 °C averages. Updated runs from global and regional models ahead of the date will be the key near-term catalyst for any shift in implied probabilities.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · AktualisiertHöchste Temperatur in Chengdu am 29. Juni?
29°C 20%
30°C 20%
31°C 14%
27°C 12%
25°C or below
1%
26°C
2%
27°C
12%
28°C
12%
29°C
20%
30°C
20%
31°C
14%
32°C
11%
33°C
5%
34°C
2%
35°C or higher
1%
29°C 20%
30°C 20%
31°C 14%
27°C 12%
25°C or below
1%
26°C
2%
27°C
12%
28°C
12%
29°C
20%
30°C
20%
31°C
14%
32°C
11%
33°C
5%
34°C
2%
35°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 for the Chengdu Shuangliu International Airport Station, available here: https://www.wunderground.com/history/daily/cn/chengdu/ZUUU.
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.
Markt eröffnet: Jun 27, 2026, 12:03 AM ET
Abwicklungsquelle
https://www.wunderground.com/history/daily/cn/chengdu/ZUUUResolver
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 Chengdu Shuangliu International Airport Station, available here: https://www.wunderground.com/history/daily/cn/chengdu/ZUUU.
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.
Abwicklungsquelle
https://www.wunderground.com/history/daily/cn/chengdu/ZUUUResolver
0x69c47De9D...Recent ensemble forecasts for Chengdu place the June 29 high near 28–30 °C, consistent with the market’s tight clustering on those bins. The dominant controls are the early East Asian monsoon transition, high regional humidity in the Sichuan Basin, and variable cloud cover from scattered showers or thundershowers that reduce insolation. Persistent overcast or convective rain tends to cap readings near 27–28 °C, while partial clearing under light northeasterly flow allows greater daytime heating toward 29–31 °C. Model spreads remain narrow given the absence of a strong subtropical ridge, aligning with historical June climatology of 28–31 °C averages. Updated runs from global and regional models ahead of the date will be the key near-term catalyst for any shift in implied probabilities.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert
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