Recent monsoon conditions across northern India, including Lucknow, feature widespread cloud cover, scattered thundershowers, and elevated humidity that suppress daytime maximum temperatures. Official forecasts from IMD and other agencies project highs near 32–33°C for July 10 amid partly cloudy to overcast skies and possible rain, consistent with July climatology of 31–35°C moderated by active monsoon flow. Model consensus on shower timing and intensity introduces modest uncertainty, keeping implied probabilities closely split between 31°C, 32°C, and 33°C or higher. Any reduction in cloud cover or delayed precipitation could allow brief warming toward the upper end of the range, while stronger or earlier storms would favor the lower outcomes.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedHighest temperature in Lucknow on July 10?
33°C or higher 36%
32°C 32%
31°C 24%
30°C 6%
23°C or below
<1%
24°C
<1%
25°C
<1%
26°C
1%
27°C
<1%
28°C
2%
29°C
5%
30°C
6%
31°C
24%
32°C
32%
33°C or higher
36%
33°C or higher 36%
32°C 32%
31°C 24%
30°C 6%
23°C or below
<1%
24°C
<1%
25°C
<1%
26°C
1%
27°C
<1%
28°C
2%
29°C
5%
30°C
6%
31°C
24%
32°C
32%
33°C or higher
36%
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.
Market Opened: Jul 8, 2026, 1:02 AM ET
Resolution Source
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...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.
Resolution Source
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...Recent monsoon conditions across northern India, including Lucknow, feature widespread cloud cover, scattered thundershowers, and elevated humidity that suppress daytime maximum temperatures. Official forecasts from IMD and other agencies project highs near 32–33°C for July 10 amid partly cloudy to overcast skies and possible rain, consistent with July climatology of 31–35°C moderated by active monsoon flow. Model consensus on shower timing and intensity introduces modest uncertainty, keeping implied probabilities closely split between 31°C, 32°C, and 33°C or higher. Any reduction in cloud cover or delayed precipitation could allow brief warming toward the upper end of the range, while stronger or earlier storms would favor the lower outcomes.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated


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