Recent forecasts indicate active southwest monsoon conditions over northern India, with widespread cloud cover, high humidity near 90%, and scattered thundershowers expected in Lucknow on August 17. These factors reduce incoming solar radiation and enhance evaporative cooling, capping daytime maxima near 29–31°C according to consensus model guidance from agencies tracking regional rainfall patterns. Trader sentiment clusters around these outcomes because subtle differences in cloud thickness, rainfall timing, or localized wind shifts can shift the daily high by 1–2°C, while stronger monsoon surges or clearer breaks could push extremes lower or higher. Updated numerical weather predictions from the India Meteorological Department will likely refine these 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日のラクナウの最高気温は?
30°C 29%
29°C 27%
31°C 16%
28°C 15%
24°C or below
<1%
25°C
1%
26°C
3%
27°C
6%
28°C
15%
29°C
27%
30°C
29%
31°C
16%
32°C
6%
33°C
2%
34°C or higher
1%
30°C 29%
29°C 27%
31°C 16%
28°C 15%
24°C or below
<1%
25°C
1%
26°C
3%
27°C
6%
28°C
15%
29°C
27%
30°C
29%
31°C
16%
32°C
6%
33°C
2%
34°C or higher
1%
This market will resolve to the temperature range that contains the highest temperature recorded at the Chaudhary Charan Singh Intl 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 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: Aug 15, 2026, 4:05 PM ET
This market will resolve to the temperature range that contains the highest temperature recorded at the Chaudhary Charan Singh Intl 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 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.
Recent forecasts indicate active southwest monsoon conditions over northern India, with widespread cloud cover, high humidity near 90%, and scattered thundershowers expected in Lucknow on August 17. These factors reduce incoming solar radiation and enhance evaporative cooling, capping daytime maxima near 29–31°C according to consensus model guidance from agencies tracking regional rainfall patterns. Trader sentiment clusters around these outcomes because subtle differences in cloud thickness, rainfall timing, or localized wind shifts can shift the daily high by 1–2°C, while stronger monsoon surges or clearer breaks could push extremes lower or higher. Updated numerical weather predictions from the India Meteorological Department will likely refine these 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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