Traders see the highest temperature in Guangzhou on June 23 centering near 35–37 °C because short-range models from the China Meteorological Administration and global ensembles currently favor partly cloudy to mostly cloudy skies with scattered thunderstorms. These conditions limit peak solar heating while a moist southerly monsoon flow keeps surface temperatures elevated in the mid-30s. Recent 24–48 hour guidance has shown little shift, with official local forecasts listing daily maxima of 34–36 °C and isolated showers that can suppress readings by 1–2 °C if convection develops earlier than expected. Differentiating the tightly bunched 35 °C, 36 °C, and 37 °C outcomes therefore hinges on precise timing of cloud breaks versus rainfall, boundary-layer moisture, and any late-day sea-breeze effects—variables that remain within the typical uncertainty range of numerical weather prediction at this lead time.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于Highest temperature in Guangzhou on June 23?
36°C 100.0%
29°C or below <1%
30°C <1%
31°C <1%
$108,921 交易量
$108,921 交易量
29°C or below
No
30°C
No
31°C
No
32°C
No
33°C
No
34°C
No
35°C
No
36°C
Yes
37°C
No
38°C
No
39°C or higher
No
36°C 100.0%
29°C or below <1%
30°C <1%
31°C <1%
$108,921 交易量
$108,921 交易量
29°C or below
No
30°C
No
31°C
No
32°C
No
33°C
No
34°C
No
35°C
No
36°C
Yes
37°C
No
38°C
No
39°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.
市场开放时间: Jun 21, 2026, 12:21 AM ET
已提议结果: No
无争议
最终结果: 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.
已提议结果: No
无争议
最终结果: No
Traders see the highest temperature in Guangzhou on June 23 centering near 35–37 °C because short-range models from the China Meteorological Administration and global ensembles currently favor partly cloudy to mostly cloudy skies with scattered thunderstorms. These conditions limit peak solar heating while a moist southerly monsoon flow keeps surface temperatures elevated in the mid-30s. Recent 24–48 hour guidance has shown little shift, with official local forecasts listing daily maxima of 34–36 °C and isolated showers that can suppress readings by 1–2 °C if convection develops earlier than expected. Differentiating the tightly bunched 35 °C, 36 °C, and 37 °C outcomes therefore hinges on precise timing of cloud breaks versus rainfall, boundary-layer moisture, and any late-day sea-breeze effects—variables that remain within the typical uncertainty range of numerical weather prediction at this lead time.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于


警惕外部链接哦。
警惕外部链接哦。
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