Trader consensus overwhelmingly favors a maximum temperature of 30°C or below in Lucknow on March 22, driven by authoritative forecasts from the India Meteorological Department (IMD) and global models like ECMWF, projecting daytime highs of 28–30°C amid lingering winter conditions and northerly winds suppressing heat. Historical March data for Lucknow shows average maxima around 30–32°C, with recent cooler anomalies due to western disturbances reinforcing this outlook—verified station observations from nearby airports align closely. Realistic challenges include an abrupt shift to hot westerly winds or model forecast busts from unresolved upper-air dynamics, though probabilities remain low (<1%) given consistent multi-model agreement and no heatwave signals in current satellite-derived indices.
Experimental AI-generated summary referencing Polymarket data · UpdatedHighest temperature in Lucknow on March 22?
Highest temperature in Lucknow on March 22?
30°C or below 100.0%
31°C <1%
32°C <1%
33°C <1%
$0.00 Vol.
$0.00 Vol.
30°C or below
Yes
31°C
No
32°C
No
33°C
No
34°C
No
35°C
No
36°C
No
37°C
No
38°C
No
39°C
No
40°C or higher
No
30°C or below 100.0%
31°C <1%
32°C <1%
33°C <1%
$0.00 Vol.
$0.00 Vol.
30°C or below
Yes
31°C
No
32°C
No
33°C
No
34°C
No
35°C
No
36°C
No
37°C
No
38°C
No
39°C
No
40°C or higher
No
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: Mar 18, 2026, 6:02 AM ET
Resolution Source
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...Outcome proposed: Yes
No dispute
Final outcome: Yes
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...Outcome proposed: Yes
No dispute
Final outcome: Yes
Trader consensus overwhelmingly favors a maximum temperature of 30°C or below in Lucknow on March 22, driven by authoritative forecasts from the India Meteorological Department (IMD) and global models like ECMWF, projecting daytime highs of 28–30°C amid lingering winter conditions and northerly winds suppressing heat. Historical March data for Lucknow shows average maxima around 30–32°C, with recent cooler anomalies due to western disturbances reinforcing this outlook—verified station observations from nearby airports align closely. Realistic challenges include an abrupt shift to hot westerly winds or model forecast busts from unresolved upper-air dynamics, though probabilities remain low (<1%) given consistent multi-model agreement and no heatwave signals in current satellite-derived indices.
Experimental AI-generated summary referencing Polymarket data · Updated
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