Recent monsoon advancement over northern India is the main driver moderating Lucknow's July 1 maximum, with official IMD guidance and multiple models projecting increased cloud cover, humidity, and scattered showers that typically suppress peak temperatures by 3–6°C relative to late-June values near 40°C. Ensemble forecasts from AccuWeather and timeanddate place the daily high near 32–35°C, while climatological baselines for early July average 34°C; variability hinges on exact rainfall timing and steering patterns. Trader consensus reflected in the 41.5% probability for 34°C or higher versus 24.5% for exactly 32°C captures this uncertainty, as additional convective activity or delayed monsoon progression could still permit brief spikes above 34°C before resolution. Updated NWP runs over the next 48 hours will refine these bounds.
Polymarket 데이터를 참조하는 실험적 AI 생성 요약입니다. 이것은 거래 조언이 아니며 이 마켓의 정산에 영향을 미치지 않습니다. · 업데이트Highest temperature in Lucknow on July 1?
33°C 100.0%
24°C or below <1%
25°C <1%
26°C <1%
$111,378 거래량
$111,378 거래량
24°C or below
No
25°C
No
26°C
No
27°C
No
28°C
No
29°C
No
30°C
No
31°C
No
32°C
No
33°C
Yes
34°C or higher
No
33°C 100.0%
24°C or below <1%
25°C <1%
26°C <1%
$111,378 거래량
$111,378 거래량
24°C or below
No
25°C
No
26°C
No
27°C
No
28°C
No
29°C
No
30°C
No
31°C
No
32°C
No
33°C
Yes
34°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 for the Chaudhary Charan Singh Intl Airport Station, 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 until the first data point for the following date has been published on the resolution source.
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.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
마켓 개설일: Jun 29, 2026, 1:02 AM ET
결과 제안됨: No
이의 없음
최종 결과: No
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Chaudhary Charan Singh Intl Airport Station, 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 until the first data point for the following date has been published on the resolution source.
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.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
결과 제안됨: No
이의 없음
최종 결과: No
Recent monsoon advancement over northern India is the main driver moderating Lucknow's July 1 maximum, with official IMD guidance and multiple models projecting increased cloud cover, humidity, and scattered showers that typically suppress peak temperatures by 3–6°C relative to late-June values near 40°C. Ensemble forecasts from AccuWeather and timeanddate place the daily high near 32–35°C, while climatological baselines for early July average 34°C; variability hinges on exact rainfall timing and steering patterns. Trader consensus reflected in the 41.5% probability for 34°C or higher versus 24.5% for exactly 32°C captures this uncertainty, as additional convective activity or delayed monsoon progression could still permit brief spikes above 34°C before resolution. Updated NWP runs over the next 48 hours will refine these bounds.
Polymarket 데이터를 참조하는 실험적 AI 생성 요약입니다. 이것은 거래 조언이 아니며 이 마켓의 정산에 영향을 미치지 않습니다. · 업데이트
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