Forecast models from agencies including the China Meteorological Administration indicate Guangzhou’s July 19 maximum will likely fall between 32–34 °C under the influence of the western Pacific subtropical high, which maintains warm, humid southerly flow from the South China Sea. Scattered afternoon thunderstorms, driven by moderate instability and southwesterly flow, introduce the main uncertainty: early or widespread convection can enhance cloud cover and evaporative cooling to cap readings near 32–33 °C, while delayed or localized activity may allow brief clearing and peaks of 34–35 °C. Climatological July highs average near 33 °C, with urban heat-island effects adding modest elevation on clear days. Market-implied odds reflect this narrow spread and the sensitivity of the daily maximum to precise timing of precipitation within the 24-hour window.
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19日の広州の最高気温は?
32℃ 100.0%
28℃以下 <1%
29°C <1%
30℃ <1%
$85,726 Vol.
$85,726 Vol.
28℃以下
いいえ
29°C
いいえ
30℃
いいえ
31℃
いいえ
32℃
はい
33℃
いいえ
34℃
いいえ
35℃
いいえ
36°C
いいえ
37℃
いいえ
38℃以上
いいえ
32℃ 100.0%
28℃以下 <1%
29°C <1%
30℃ <1%
$85,726 Vol.
$85,726 Vol.
28℃以下
いいえ
29°C
いいえ
30℃
いいえ
31℃
いいえ
32℃
はい
33℃
いいえ
34℃
いいえ
35℃
いいえ
36°C
いいえ
37℃
いいえ
38℃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 17, 2026, 12:04 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
Forecast models from agencies including the China Meteorological Administration indicate Guangzhou’s July 19 maximum will likely fall between 32–34 °C under the influence of the western Pacific subtropical high, which maintains warm, humid southerly flow from the South China Sea. Scattered afternoon thunderstorms, driven by moderate instability and southwesterly flow, introduce the main uncertainty: early or widespread convection can enhance cloud cover and evaporative cooling to cap readings near 32–33 °C, while delayed or localized activity may allow brief clearing and peaks of 34–35 °C. Climatological July highs average near 33 °C, with urban heat-island effects adding modest elevation on clear days. Market-implied odds reflect this narrow spread and the sensitivity of the daily maximum to precise timing of precipitation within the 24-hour window.
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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