Trader consensus overwhelmingly favors 31°C or below as Lucknow's highest temperature on March 23, driven by India Meteorological Department (IMD) forecasts predicting a maximum of 30-31°C amid mild late-winter conditions influenced by lingering western disturbances. Historical March data for Lucknow shows average highs around 29-32°C, with verified observations rarely exceeding 34°C before April, supporting this positioning through consistent climatological baselines and ensemble model outputs from GFS and ECMWF. Current synoptic patterns indicate stable northerly winds suppressing heat, aligning with low humidity readings. Realistic challenges include an abrupt shift to southerly winds or unforecasted heat dome, though probabilities remain under 1% per model ensembles, as no such signals appear in latest updates.
Experimental AI-generated summary referencing Polymarket data · UpdatedHighest temperature in Lucknow on March 23?
Highest temperature in Lucknow on March 23?
31°C or below 100.0%
32°C <1%
33°C <1%
34°C <1%
$0.00 Vol.
$0.00 Vol.
31°C or below
Yes
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
No
41°C or higher
No
31°C or below 100.0%
32°C <1%
33°C <1%
34°C <1%
$0.00 Vol.
$0.00 Vol.
31°C or below
Yes
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
No
41°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 19, 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 31°C or below as Lucknow's highest temperature on March 23, driven by India Meteorological Department (IMD) forecasts predicting a maximum of 30-31°C amid mild late-winter conditions influenced by lingering western disturbances. Historical March data for Lucknow shows average highs around 29-32°C, with verified observations rarely exceeding 34°C before April, supporting this positioning through consistent climatological baselines and ensemble model outputs from GFS and ECMWF. Current synoptic patterns indicate stable northerly winds suppressing heat, aligning with low humidity readings. Realistic challenges include an abrupt shift to southerly winds or unforecasted heat dome, though probabilities remain under 1% per model ensembles, as no such signals appear in latest updates.
Experimental AI-generated summary referencing Polymarket data · Updated
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