India Meteorological Department (IMD) forecasts drive the strong trader consensus for a subdued high of 33°C or below in Lucknow on April 5, with 67% implied probability, as successive western disturbances usher in scattered thunderstorms, lightning, and gusty winds over Uttar Pradesh, capping maxima after recent peaks near 39°C at Lucknow Integral on April 2-3. These extratropical systems introduce widespread cloud cover and light-to-moderate rainfall through April 4-5, fostering a 3-5°C temperature drop from above-normal levels (typically 35-38°C in early April climatology), though a slight 2-3°C rise is possible on the 5th before further cooling. Model consensus reflects below-normal day temperatures till April 9; monitor IMD's April 4 bulletin for refined guidance amid inherent short-range forecast uncertainty.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket · ОбновленоHighest temperature in Lucknow on April 5?
Highest temperature in Lucknow on April 5?
33°C or below 63%
34°C 27%
35°C 7%
36°C 6%
33°C or below
63%
34°C
27%
35°C
7%
36°C
6%
37°C
2%
38°C
2%
39°C
<1%
40°C
<1%
41°C
<1%
42°C
<1%
43°C or higher
<1%
33°C or below 63%
34°C 27%
35°C 7%
36°C 6%
33°C or below
63%
34°C
27%
35°C
7%
36°C
6%
37°C
2%
38°C
2%
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) forecasts drive the strong trader consensus for a subdued high of 33°C or below in Lucknow on April 5, with 67% implied probability, as successive western disturbances usher in scattered thunderstorms, lightning, and gusty winds over Uttar Pradesh, capping maxima after recent peaks near 39°C at Lucknow Integral on April 2-3. These extratropical systems introduce widespread cloud cover and light-to-moderate rainfall through April 4-5, fostering a 3-5°C temperature drop from above-normal levels (typically 35-38°C in early April climatology), though a slight 2-3°C rise is possible on the 5th before further cooling. Model consensus reflects below-normal day temperatures till April 9; monitor IMD's April 4 bulletin for refined guidance amid inherent short-range forecast uncertainty.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket · Обновлено
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