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データを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日Highest temperature in Lucknow on June 13?
34°C or below 100.0%
35°C <1%
36°C <1%
37°C <1%
$57,902 Vol.
$57,902 Vol.
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 Vol.
$57,902 Vol.
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.
マーケット開始日: Jun 11, 2026, 12:03 AM ET
提案された結果: Yes
異議申し立てなし
最終結果: 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.
提案された結果: Yes
異議申し立てなし
最終結果: 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データを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日
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