Trader consensus on the highest temperature in Guangzhou for August 17 centers on 34–36°C because official forecasts from sources like the Guangzhou Meteorological Observatory show model runs clustered around this narrow band amid typical late-summer subtropical conditions. High humidity, abundant moisture from the East Asian monsoon, and scattered thunderstorms introduce variability in daytime heating; increased cloud cover and precipitation can cap maxima near 34°C, while clearer intervals allow stronger solar insolation to push readings to 36°C. Urban heat island effects and light wind patterns further differentiate outcomes at the 1°C level. Updated model guidance and real-time observations expected overnight will likely refine these closely matched probabilities before resolution.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日8月17日の広州の最高気温は?
35°C 28%
36℃ 28%
34°C 20%
37℃ 12%
29℃以下
1%
30℃
1%
31℃
1%
32℃
5%
33℃
11%
34°C
20%
35°C
28%
36℃
28%
37℃
12%
38℃
2%
39℃以上
1%
35°C 28%
36℃ 28%
34°C 20%
37℃ 12%
29℃以下
1%
30℃
1%
31℃
1%
32℃
5%
33℃
11%
34°C
20%
35°C
28%
36℃
28%
37℃
12%
38℃
2%
39℃以上
1%
This market will resolve to the temperature range that contains the highest temperature recorded at the Guangzhou Baiyun International Airport Station in degrees Celsius on 17 Aug '26.
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.
マーケット開始日: Aug 15, 2026, 4:08 PM ET
This market will resolve to the temperature range that contains the highest temperature recorded at the Guangzhou Baiyun International Airport Station in degrees Celsius on 17 Aug '26.
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.
Trader consensus on the highest temperature in Guangzhou for August 17 centers on 34–36°C because official forecasts from sources like the Guangzhou Meteorological Observatory show model runs clustered around this narrow band amid typical late-summer subtropical conditions. High humidity, abundant moisture from the East Asian monsoon, and scattered thunderstorms introduce variability in daytime heating; increased cloud cover and precipitation can cap maxima near 34°C, while clearer intervals allow stronger solar insolation to push readings to 36°C. Urban heat island effects and light wind patterns further differentiate outcomes at the 1°C level. Updated model guidance and real-time observations expected overnight will likely refine these closely matched probabilities before resolution.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日

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