India Meteorological Department (IMD) forecasts, updated March 29, project a 36°C maximum temperature for Lucknow on April 3 under mainly clear skies transitioning to fully clear, with afternoon relative humidity dropping to 40%—conditions favoring daytime heating after recent March rains cooled observations to 35.7°C. Trader-implied probabilities cluster tightly around 36–37°C (20–24.5%) due to this official guidance amid seasonal pre-monsoon warming, where historical early-April highs average 35–37°C; lower outcomes like 34°C or below (21%) reflect potential patchy clouds or lingering soil moisture, while 38–39°C (19–18%) hedge against faster intensification from dry air and low winds. Ensemble model spreads and urban heat effects add uncertainty, with daily IMD refinements expected through April 1–2.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket · ОбновленоHighest temperature in Lucknow on April 3?
Highest temperature in Lucknow on April 3?
34°C or below 37%
37°C 26%
36°C 20%
35°C 19%
34°C or below
37%
35°C
19%
36°C
20%
37°C
26%
38°C
19%
39°C
18%
40°C
10%
41°C
18%
42°C
1%
43°C
1%
44°C or higher
1%
34°C or below 37%
37°C 26%
36°C 20%
35°C 19%
34°C or below
37%
35°C
19%
36°C
20%
37°C
26%
38°C
19%
39°C
18%
40°C
10%
41°C
18%
42°C
1%
43°C
1%
44°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.
Открытие рынка: Mar 29, 2026, 3:15 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 (IMD) forecasts, updated March 29, project a 36°C maximum temperature for Lucknow on April 3 under mainly clear skies transitioning to fully clear, with afternoon relative humidity dropping to 40%—conditions favoring daytime heating after recent March rains cooled observations to 35.7°C. Trader-implied probabilities cluster tightly around 36–37°C (20–24.5%) due to this official guidance amid seasonal pre-monsoon warming, where historical early-April highs average 35–37°C; lower outcomes like 34°C or below (21%) reflect potential patchy clouds or lingering soil moisture, while 38–39°C (19–18%) hedge against faster intensification from dry air and low winds. Ensemble model spreads and urban heat effects add uncertainty, with daily IMD refinements expected through April 1–2.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket · Обновлено
Не доверяй внешним ссылкам.
Не доверяй внешним ссылкам.
Часто задаваемые вопросы