Current forecast models from agencies like the UK Met Office project a maximum of 37°C in Chongqing on July 31 amid subtropical monsoon conditions, aligning with the market's tight clustering around 37–38°C. Key differentiating factors include uncertainty in afternoon convective showers, which could suppress peak temperatures by several degrees through evaporative cooling and cloud cover, versus clearer periods allowing stronger solar heating. Chongqing's basin topography and urban heat island effect amplify baseline warmth, while recent model runs show minor disagreements on timing of any rainfall. Traders weigh these variables against typical July climatology of 33–37°C highs, with new observational data and updated runs expected to refine odds ahead of resolution.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Chongqing on July 31?
37°C 32%
38°C 28%
39°C 22%
36°C 11%
33°C or below
1%
34°C
4%
35°C
6%
36°C
11%
37°C
32%
38°C
28%
39°C
22%
40°C
9%
41°C
4%
42°C
3%
43°C or higher
2%
37°C 32%
38°C 28%
39°C 22%
36°C 11%
33°C or below
1%
34°C
4%
35°C
6%
36°C
11%
37°C
32%
38°C
28%
39°C
22%
40°C
9%
41°C
4%
42°C
3%
43°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 Chongqing Jiangbei International Airport Station, available here: https://www.wunderground.com/history/daily/cn/chongqing/ZUCK.
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: Jul 29, 2026, 12:04 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/cn/chongqing/ZUCKResolver
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 Chongqing Jiangbei International Airport Station, available here: https://www.wunderground.com/history/daily/cn/chongqing/ZUCK.
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/chongqing/ZUCKResolver
0x69c47De9D...Current forecast models from agencies like the UK Met Office project a maximum of 37°C in Chongqing on July 31 amid subtropical monsoon conditions, aligning with the market's tight clustering around 37–38°C. Key differentiating factors include uncertainty in afternoon convective showers, which could suppress peak temperatures by several degrees through evaporative cooling and cloud cover, versus clearer periods allowing stronger solar heating. Chongqing's basin topography and urban heat island effect amplify baseline warmth, while recent model runs show minor disagreements on timing of any rainfall. Traders weigh these variables against typical July climatology of 33–37°C highs, with new observational data and updated runs expected to refine odds ahead of resolution.
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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