Recent monsoon activity and associated cloud cover over northern India are the main drivers keeping the highest temperature in Lucknow on August 16 centered near 31–32 °C. Official forecasts from multiple sources converge on daytime maxima of 30–32 °C under overcast skies with scattered showers, which limit solar heating and enhance evaporative cooling amid high humidity. Historical August climatology for Lucknow shows average highs of 31–33 °C, with deviations largely tied to rainfall timing and intensity. Model spreads introduce modest uncertainty around exact peaks, supporting the tight market clustering at 31 °C (37.5 %) and 32 °C (33.0 %) while assigning lower probability to 33 °C or higher absent drier, clearer conditions.
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16日のラクナウの最高気温は?
31°C 38%
32°C 33%
33°C 17%
30°C 16%
27°C or below
1%
28°C
4%
29°C
8%
30°C
16%
31°C
38%
32°C
33%
33°C
17%
34°C
5%
35°C
7%
36°C
4%
37°C or higher
<1%
31°C 38%
32°C 33%
33°C 17%
30°C 16%
27°C or below
1%
28°C
4%
29°C
8%
30°C
16%
31°C
38%
32°C
33%
33°C
17%
34°C
5%
35°C
7%
36°C
4%
37°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 16 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 14, 2026, 12:56 AM 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 16 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 monsoon activity and associated cloud cover over northern India are the main drivers keeping the highest temperature in Lucknow on August 16 centered near 31–32 °C. Official forecasts from multiple sources converge on daytime maxima of 30–32 °C under overcast skies with scattered showers, which limit solar heating and enhance evaporative cooling amid high humidity. Historical August climatology for Lucknow shows average highs of 31–33 °C, with deviations largely tied to rainfall timing and intensity. Model spreads introduce modest uncertainty around exact peaks, supporting the tight market clustering at 31 °C (37.5 %) and 32 °C (33.0 %) while assigning lower probability to 33 °C or higher absent drier, clearer conditions.
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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