India Meteorological Department observations show Lucknow's maximum temperature at 33.3°C on March 28—below normal—following recent western disturbances that brought rain and thunderstorms, cooling the region through mid-March. As these systems recede eastward, clear skies are returning, enabling solar heating and a forecasted rebound to 35-38°C by early April, per ensemble model consensus from IMD and global forecasts like GFS. Trader sentiment clusters around 36-37°C (market-implied odds 18-23%) due to hazy conditions from dust and pollution potentially capping peaks, balanced against dry soils and light winds favoring higher readings; slight model divergences on cloud cover differentiate outcomes. Daily IMD updates through April 3 will refine resolution near these thresholds amid pre-monsoon uncertainty.
Resumen experimental generado por IA con datos de Polymarket · ActualizadoHighest temperature in Lucknow on April 4?
Highest temperature in Lucknow on April 4?
39°C 25%
35°C 24%
37°C 23%
36°C 19%
33°C or below
13%
34°C
17%
35°C
24%
36°C
19%
37°C
23%
38°C
16%
39°C
25%
40°C
16%
41°C
14%
42°C
1%
43°C or higher
1%
39°C 25%
35°C 24%
37°C 23%
36°C 19%
33°C or below
13%
34°C
17%
35°C
24%
36°C
19%
37°C
23%
38°C
16%
39°C
25%
40°C
16%
41°C
14%
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.
Mercado abierto: Mar 29, 2026, 3:42 PM 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 observations show Lucknow's maximum temperature at 33.3°C on March 28—below normal—following recent western disturbances that brought rain and thunderstorms, cooling the region through mid-March. As these systems recede eastward, clear skies are returning, enabling solar heating and a forecasted rebound to 35-38°C by early April, per ensemble model consensus from IMD and global forecasts like GFS. Trader sentiment clusters around 36-37°C (market-implied odds 18-23%) due to hazy conditions from dust and pollution potentially capping peaks, balanced against dry soils and light winds favoring higher readings; slight model divergences on cloud cover differentiate outcomes. Daily IMD updates through April 3 will refine resolution near these thresholds amid pre-monsoon uncertainty.
Resumen experimental generado por IA con datos de Polymarket · Actualizado
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