Recent official forecasts from sources like the India Meteorological Department and global models point to a highest temperature in Lucknow on July 18 most likely falling in the low-to-mid 30s Celsius, with monsoon cloud cover and scattered rainfall as the dominant cooling influence. Above-normal seasonal temperatures are expected across northern India, yet active monsoon conditions—typical for mid-July in Uttar Pradesh—introduce uncertainty through variable precipitation and reduced solar heating, keeping daily maxima near climatological averages of 32–34°C. Model spreads reflect this, with some runs projecting brief monsoon breaks allowing 34–35°C while others favor heavier showers capping readings at 32°C or below. Traders appear to weigh these near-term forecast updates and historical July variability heavily, as the tightly bunched probabilities around 32–34°C highlight genuine uncertainty ahead of final observational data.
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日のラクナウの最高気温は?
31°C 100.0%
25°C以下 <1%
26°C <1%
27°C <1%
$44,020 Vol.
$44,020 Vol.
25°C以下
いいえ
26°C
いいえ
27°C
いいえ
28°C
いいえ
29°C
いいえ
30°C
いいえ
31°C
はい
32°C
いいえ
33°C
いいえ
34°C
いいえ
35℃以上
いいえ
31°C 100.0%
25°C以下 <1%
26°C <1%
27°C <1%
$44,020 Vol.
$44,020 Vol.
25°C以下
いいえ
26°C
いいえ
27°C
いいえ
28°C
いいえ
29°C
いいえ
30°C
いいえ
31°C
はい
32°C
いいえ
33°C
いいえ
34°C
いいえ
35℃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 Chaudhary Charan Singh Intl Airport Station, available here: https://www.wunderground.com/history/daily/in/lucknow/VILK.
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, 1:03 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 Chaudhary Charan Singh Intl Airport Station, available here: https://www.wunderground.com/history/daily/in/lucknow/VILK.
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 official forecasts from sources like the India Meteorological Department and global models point to a highest temperature in Lucknow on July 18 most likely falling in the low-to-mid 30s Celsius, with monsoon cloud cover and scattered rainfall as the dominant cooling influence. Above-normal seasonal temperatures are expected across northern India, yet active monsoon conditions—typical for mid-July in Uttar Pradesh—introduce uncertainty through variable precipitation and reduced solar heating, keeping daily maxima near climatological averages of 32–34°C. Model spreads reflect this, with some runs projecting brief monsoon breaks allowing 34–35°C while others favor heavier showers capping readings at 32°C or below. Traders appear to weigh these near-term forecast updates and historical July variability heavily, as the tightly bunched probabilities around 32–34°C highlight genuine uncertainty ahead of final observational data.
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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