India Meteorological Department (IMD) guidance shows an active western disturbance bringing partly cloudy skies, light precipitation, and possible thunderstorms to Uttar Pradesh through April 5, driving trader consensus toward a maximum temperature around 34°C at 29.5% implied probability, closely trailed by 35°C. This reflects moderated insolation from cloud cover and evaporative cooling, tempering early-April climatological highs of 35–37°C amid rising seasonal trends. Key differentiators include the disturbance's precise track—stronger impacts favor 33°C or below (18%), while quicker clearing boosts 36°C (14%) odds. Inherent forecast uncertainty persists, with daily IMD updates and global models like GFS providing resolution catalysts before the April 5 peak heating window.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket · ОбновленоHighest temperature in Lucknow on April 5?
Highest temperature in Lucknow on April 5?
34°C 30%
35°C 28%
33°C or below 17%
36°C 8%
33°C or below
31%
34°C
30%
35°C
24%
36°C
8%
37°C
4%
38°C
7%
39°C
1%
40°C
<1%
41°C
<1%
42°C
<1%
43°C or higher
1%
34°C 30%
35°C 28%
33°C or below 17%
36°C 8%
33°C or below
31%
34°C
30%
35°C
24%
36°C
8%
37°C
4%
38°C
7%
39°C
1%
40°C
<1%
41°C
<1%
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.
Открытие рынка: Apr 1, 2026, 6:02 AM ET
Источник определения исхода
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.
Источник определения исхода
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...India Meteorological Department (IMD) guidance shows an active western disturbance bringing partly cloudy skies, light precipitation, and possible thunderstorms to Uttar Pradesh through April 5, driving trader consensus toward a maximum temperature around 34°C at 29.5% implied probability, closely trailed by 35°C. This reflects moderated insolation from cloud cover and evaporative cooling, tempering early-April climatological highs of 35–37°C amid rising seasonal trends. Key differentiators include the disturbance's precise track—stronger impacts favor 33°C or below (18%), while quicker clearing boosts 36°C (14%) odds. Inherent forecast uncertainty persists, with daily IMD updates and global models like GFS providing resolution catalysts before the April 5 peak heating window.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket · Обновлено
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