Traders are focusing on monsoon-driven variability for Lucknow's August 16 maximum temperature, where models indicate typical seasonal conditions with highs near 32°C amid elevated humidity and frequent cloud cover. Official climatological data place August averages around 31–33°C, with daytime heating moderated by southwest monsoon flows that often bring scattered rainfall and limit solar radiation. Subtle differences between 31°C and 33°C outcomes hinge on forecast uncertainty in timing of cloud breaks or localized wind shifts, while recent observational trends show stable but fluctuating patterns without extreme heat anomalies. This skin-in-the-game consensus captures the narrow range typical of peak monsoon conditions rather than outlier scenarios.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於8月16日勒克瑙的最高溫度?
32°C 40%
31°C 33%
33°C 17%
30°C 9%
27°C or below
<1%
28°C
1%
29°C
3%
30°C
9%
31°C
33%
32°C
40%
33°C
17%
34°C
4%
35°C
1%
36°C
1%
37°C or higher
<1%
32°C 40%
31°C 33%
33°C 17%
30°C 9%
27°C or below
<1%
28°C
1%
29°C
3%
30°C
9%
31°C
33%
32°C
40%
33°C
17%
34°C
4%
35°C
1%
36°C
1%
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.
市場開放時間: 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.
Traders are focusing on monsoon-driven variability for Lucknow's August 16 maximum temperature, where models indicate typical seasonal conditions with highs near 32°C amid elevated humidity and frequent cloud cover. Official climatological data place August averages around 31–33°C, with daytime heating moderated by southwest monsoon flows that often bring scattered rainfall and limit solar radiation. Subtle differences between 31°C and 33°C outcomes hinge on forecast uncertainty in timing of cloud breaks or localized wind shifts, while recent observational trends show stable but fluctuating patterns without extreme heat anomalies. This skin-in-the-game consensus captures the narrow range typical of peak monsoon conditions rather than outlier scenarios.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於


警惕外部連結哦。
警惕外部連結哦。
Frequently Asked Questions