Recent developments including widespread cloud cover and scattered thundershowers across western Uttar Pradesh have suppressed daytime heating in Lucknow, keeping maximum temperatures near or below 34°C according to India Meteorological Department observations and model consensus. These conditions align with an early monsoon surge that increases humidity while limiting solar radiation and surface heat buildup, a pattern consistent with historical June transitions when pre-monsoon activity moderates peaks below long-term averages of 38–40°C. The market’s 100% implied probability for 34°C or below reflects trader assessment of real-time station data and short-range forecasts showing limited potential for rapid warming. Scenarios that could challenge this include unexpected clearing skies or a temporary monsoon break allowing stronger insolation to push readings several degrees higher before the day ends.
Polymarket 데이터를 참조하는 실험적 AI 생성 요약입니다. 이것은 거래 조언이 아니며 이 마켓의 정산에 영향을 미치지 않습니다. · 업데이트Highest temperature in Lucknow on June 13?
34°C or below 100.0%
35°C <1%
36°C <1%
37°C <1%
$57,902 거래량
$57,902 거래량
34°C or below
Yes
35°C
No
36°C
No
37°C
No
38°C
No
39°C
No
40°C
No
41°C
No
42°C
No
43°C
No
44°C or higher
No
34°C or below 100.0%
35°C <1%
36°C <1%
37°C <1%
$57,902 거래량
$57,902 거래량
34°C or below
Yes
35°C
No
36°C
No
37°C
No
38°C
No
39°C
No
40°C
No
41°C
No
42°C
No
43°C
No
44°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 11, 2026, 12:03 AM ET
결과 제안됨: Yes
이의 없음
최종 결과: Yes
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: Yes
이의 없음
최종 결과: Yes
Recent developments including widespread cloud cover and scattered thundershowers across western Uttar Pradesh have suppressed daytime heating in Lucknow, keeping maximum temperatures near or below 34°C according to India Meteorological Department observations and model consensus. These conditions align with an early monsoon surge that increases humidity while limiting solar radiation and surface heat buildup, a pattern consistent with historical June transitions when pre-monsoon activity moderates peaks below long-term averages of 38–40°C. The market’s 100% implied probability for 34°C or below reflects trader assessment of real-time station data and short-range forecasts showing limited potential for rapid warming. Scenarios that could challenge this include unexpected clearing skies or a temporary monsoon break allowing stronger insolation to push readings several degrees higher before the day ends.
Polymarket 데이터를 참조하는 실험적 AI 생성 요약입니다. 이것은 거래 조언이 아니며 이 마켓의 정산에 영향을 미치지 않습니다. · 업데이트
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