India Meteorological Department forecasts for Lucknow on June 7 indicate a maximum temperature near 40°C under mainly clear skies and dry pre-monsoon conditions, consistent with recent observations showing temperatures 1–2°C above normal across northwest and central India. Numerical weather models converge on this peak given typical June climatology, where early-month highs average 38–42°C, with limited moisture and steady westerly flow suppressing significant afternoon convection or cloud cover that could moderate readings. The market’s near-certain consensus on 40°C reflects this model agreement and absence of disruptive weather features. A late surge in humidity or unexpected thunderstorm development could shift the observed high by 1–2°C, though current guidance shows low probability of such changes before resolution.
Polymarket 데이터를 참조하는 실험적 AI 생성 요약입니다. 이것은 거래 조언이 아니며 이 마켓의 정산에 영향을 미치지 않습니다. · 업데이트Highest temperature in Lucknow on June 7?
40°C 100.0%
34°C or below <1%
35°C <1%
36°C <1%
$36,776 거래량
$36,776 거래량
34°C or below
No
35°C
No
36°C
No
37°C
No
38°C
No
39°C
No
40°C
Yes
41°C
No
42°C
No
43°C
No
44°C or higher
No
40°C 100.0%
34°C or below <1%
35°C <1%
36°C <1%
$36,776 거래량
$36,776 거래량
34°C or below
No
35°C
No
36°C
No
37°C
No
38°C
No
39°C
No
40°C
Yes
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 6, 2026, 12:07 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
India Meteorological Department forecasts for Lucknow on June 7 indicate a maximum temperature near 40°C under mainly clear skies and dry pre-monsoon conditions, consistent with recent observations showing temperatures 1–2°C above normal across northwest and central India. Numerical weather models converge on this peak given typical June climatology, where early-month highs average 38–42°C, with limited moisture and steady westerly flow suppressing significant afternoon convection or cloud cover that could moderate readings. The market’s near-certain consensus on 40°C reflects this model agreement and absence of disruptive weather features. A late surge in humidity or unexpected thunderstorm development could shift the observed high by 1–2°C, though current guidance shows low probability of such changes before resolution.
Polymarket 데이터를 참조하는 실험적 AI 생성 요약입니다. 이것은 거래 조언이 아니며 이 마켓의 정산에 영향을 미치지 않습니다. · 업데이트
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