India Meteorological Department (IMD) local observations at Chaudhary Charan Singh International Airport in Lucknow recorded a maximum of 37.5°C on April 2, with forecasts indicating a peak of 35°C on April 7 under partly cloudy skies transitioning to mainly clear. This near-normal outlook reflects the waning influence of an active Western Disturbance, which brought thunderstorms and gusty winds through April 5-6, suppressing highs to 33-36°C mid-week after an initial 2-3°C rise. Extended weekly forecasts predict below-normal maximums averaging 32-34°C across central Uttar Pradesh plains, consistent with early April climatology (historical highs ~35-37°C). Traders should monitor daily IMD updates, as passing cloud cover or unexpected dry spells could nudge the high higher by 1-2°C before resolution.
Experimental AI-generated summary referencing Polymarket data · UpdatedHighest temperature in Lucknow on April 7?
Highest temperature in Lucknow on April 7?
33°C or below 32%
35°C 18%
36°C 17%
37°C 16%
33°C or below
32%
34°C
23%
35°C
18%
36°C
17%
37°C
16%
38°C
9%
39°C
1%
40°C
1%
41°C
7%
42°C
1%
43°C or higher
<1%
33°C or below 32%
35°C 18%
36°C 17%
37°C 16%
33°C or below
32%
34°C
23%
35°C
18%
36°C
17%
37°C
16%
38°C
9%
39°C
1%
40°C
1%
41°C
7%
42°C
1%
43°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 by the Forecast for the Chaudhary Charan Singh Intl Airport Station once information is finalized, 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 to "Yes" until all data for this date has been finalized.
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.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Market Opened: Apr 3, 2026, 6:02 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 by the Forecast for the Chaudhary Charan Singh Intl Airport Station once information is finalized, 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 to "Yes" until all data for this date has been finalized.
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.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Resolution Source
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...India Meteorological Department (IMD) local observations at Chaudhary Charan Singh International Airport in Lucknow recorded a maximum of 37.5°C on April 2, with forecasts indicating a peak of 35°C on April 7 under partly cloudy skies transitioning to mainly clear. This near-normal outlook reflects the waning influence of an active Western Disturbance, which brought thunderstorms and gusty winds through April 5-6, suppressing highs to 33-36°C mid-week after an initial 2-3°C rise. Extended weekly forecasts predict below-normal maximums averaging 32-34°C across central Uttar Pradesh plains, consistent with early April climatology (historical highs ~35-37°C). Traders should monitor daily IMD updates, as passing cloud cover or unexpected dry spells could nudge the high higher by 1-2°C before resolution.
Experimental AI-generated summary referencing Polymarket data · Updated
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