Recent forecasts for Guangzhou point to scattered thunderstorms and persistent monsoon moisture around July 21, tempering peak heating and keeping daily highs near the 31–33 °C range that dominates trader positioning. The South China Sea summer monsoon supplies humid southerly flow that fuels afternoon convection, increasing cloud cover and reducing surface insolation while urban heat-island effects in the Pearl River Delta sustain baseline warmth. Model spreads arise mainly from differences in predicted cloud timing and rainfall intensity, with heavier showers favoring the lower end near 31 °C and clearer intervals supporting 33 °C. Historical July climatology shows mean highs of 32–33 °C, but day-to-day convective variability routinely produces 2–3 °C swings. Updated guidance from regional meteorological agencies will refine these thresholds 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7月21日の広州の最高気温は?
31°C 100.0%
26°C以下 <1%
27℃ <1%
28°C <1%
$91,241 Vol.
$91,241 Vol.
26°C以下
いいえ
27℃
いいえ
28°C
いいえ
29℃
いいえ
30℃
いいえ
31°C
はい
32℃
いいえ
33℃
いいえ
34℃
いいえ
35℃
いいえ
36℃以上
いいえ
31°C 100.0%
26°C以下 <1%
27℃ <1%
28°C <1%
$91,241 Vol.
$91,241 Vol.
26°C以下
いいえ
27℃
いいえ
28°C
いいえ
29℃
いいえ
30℃
いいえ
31°C
はい
32℃
いいえ
33℃
いいえ
34℃
いいえ
35℃
いいえ
36℃以上
いいえ
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: Jul 19, 2026, 12:06 AM ET
提案された結果: いいえ
異議申し立てなし
最終結果: いいえ
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.
提案された結果: いいえ
異議申し立てなし
最終結果: いいえ
Recent forecasts for Guangzhou point to scattered thunderstorms and persistent monsoon moisture around July 21, tempering peak heating and keeping daily highs near the 31–33 °C range that dominates trader positioning. The South China Sea summer monsoon supplies humid southerly flow that fuels afternoon convection, increasing cloud cover and reducing surface insolation while urban heat-island effects in the Pearl River Delta sustain baseline warmth. Model spreads arise mainly from differences in predicted cloud timing and rainfall intensity, with heavier showers favoring the lower end near 31 °C and clearer intervals supporting 33 °C. Historical July climatology shows mean highs of 32–33 °C, but day-to-day convective variability routinely produces 2–3 °C swings. Updated guidance from regional meteorological agencies will refine these thresholds 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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