Active monsoon conditions over northern India, with persistent cloud cover, humidity, and scattered rain or thundershowers, represent the dominant factor holding Lucknow's July 11 maximum near 31–34°C. Official forecasts from sources like IMD and AccuWeather project highs in this band, consistent with climatological suppression of peak temperatures during peak monsoon versus the 40°C+ extremes seen earlier in summer. Slight variations in rainfall timing, intensity, or steering patterns across models create the tight clustering of implied probabilities, as even modest differences in insolation or convective activity can shift the daily high by 1–2°C. Updated model runs and the next 48-hour observational data will likely refine these odds as the event nears.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেডHighest temperature in Lucknow on July 11?
32°C 27%
31°C 22%
33°C 17%
30°C 11%
$11,780 Vol.
$11,780 Vol.
29°C or below
5%
30°C
11%
31°C
22%
32°C
27%
33°C
17%
34°C
10%
35°C
4%
36°C
1%
37°C
1%
38°C
<1%
39°C or higher
<1%
32°C 27%
31°C 22%
33°C 17%
30°C 11%
$11,780 Vol.
$11,780 Vol.
29°C or below
5%
30°C
11%
31°C
22%
32°C
27%
33°C
17%
34°C
10%
35°C
4%
36°C
1%
37°C
1%
38°C
<1%
39°C or higher
<1%
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.
মার্কেট ওপেন হয়েছে: Jul 9, 2026, 12:02 AM ET
রেজোলিউশন সোর্স
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.
রেজোলিউশন সোর্স
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...Active monsoon conditions over northern India, with persistent cloud cover, humidity, and scattered rain or thundershowers, represent the dominant factor holding Lucknow's July 11 maximum near 31–34°C. Official forecasts from sources like IMD and AccuWeather project highs in this band, consistent with climatological suppression of peak temperatures during peak monsoon versus the 40°C+ extremes seen earlier in summer. Slight variations in rainfall timing, intensity, or steering patterns across models create the tight clustering of implied probabilities, as even modest differences in insolation or convective activity can shift the daily high by 1–2°C. Updated model runs and the next 48-hour observational data will likely refine these odds as the event nears.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেড
বাহ্যিক লিংক থেকে সাবধান।
বাহ্যিক লিংক থেকে সাবধান।
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