Recent short-term forecast model runs for Guangzhou show notable spread in afternoon cloud cover and convective rainfall under the active East Asian summer monsoon, keeping the highest temperature on July 18 closely contested between 33 °C and 35 °C. Subtropical high positioning and moisture advection from the South China Sea can suppress maximum temperatures through increased humidity and scattered thunderstorms, while clearer subsidence periods allow stronger solar heating and urban heat-island amplification in the city center. An emerging El Niño pattern is expected to favor warmer anomalies and more frequent typhoon activity this July, adding further variability to steering flows and precipitation timing. Official China Meteorological Administration updates and ensemble guidance over the next 48 hours will likely resolve the narrow probability gaps among these central outcomes.
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18日の広州の最高気温は?
31℃ 100.0%
28℃以下 <1%
29°C <1%
30℃ <1%
$64,645 Vol.
$64,645 Vol.
28℃以下
いいえ
29°C
いいえ
30℃
いいえ
31℃
はい
32℃
いいえ
33℃
いいえ
34°C
いいえ
35℃
いいえ
36℃
いいえ
37°C
いいえ
38°C以上
いいえ
31℃ 100.0%
28℃以下 <1%
29°C <1%
30℃ <1%
$64,645 Vol.
$64,645 Vol.
28℃以下
いいえ
29°C
いいえ
30℃
いいえ
31℃
はい
32℃
いいえ
33℃
いいえ
34°C
いいえ
35℃
いいえ
36℃
いいえ
37°C
いいえ
38°C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 16, 2026, 12:05 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 short-term forecast model runs for Guangzhou show notable spread in afternoon cloud cover and convective rainfall under the active East Asian summer monsoon, keeping the highest temperature on July 18 closely contested between 33 °C and 35 °C. Subtropical high positioning and moisture advection from the South China Sea can suppress maximum temperatures through increased humidity and scattered thunderstorms, while clearer subsidence periods allow stronger solar heating and urban heat-island amplification in the city center. An emerging El Niño pattern is expected to favor warmer anomalies and more frequent typhoon activity this July, adding further variability to steering flows and precipitation timing. Official China Meteorological Administration updates and ensemble guidance over the next 48 hours will likely resolve the narrow probability gaps among these central outcomes.
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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