Recent official forecasts from the India Meteorological Department and supporting models indicate a maximum temperature near 35°C in Lucknow on June 12, driven by the southwest monsoon's northward advance combined with a western disturbance that has introduced increased cloud cover, humidity, and scattered rainfall, moderating peak daytime heating. This aligns with observed trends of cooling from earlier June highs exceeding 40°C, as moisture influx and reduced solar insolation limit surface warming under the current synoptic pattern. Trader consensus at 100% for the 35°C outcome reflects this strong data alignment ahead of final resolution based on official station readings. Unlikely but plausible challenges include rapid clearing of skies or delayed precipitation that could allow additional radiative heating, pushing readings higher than anticipated.
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6月12日のラクナウの最高気温は?
35°C 100.0%
29℃以下 <1%
30℃ <1%
31°C <1%
$68,101 Vol.
$68,101 Vol.
29℃以下
いいえ
30℃
いいえ
31°C
いいえ
32℃
いいえ
33℃
いいえ
34℃
いいえ
35°C
はい
36℃
いいえ
37℃
いいえ
38°C
いいえ
39℃以上
いいえ
35°C 100.0%
29℃以下 <1%
30℃ <1%
31°C <1%
$68,101 Vol.
$68,101 Vol.
29℃以下
いいえ
30℃
いいえ
31°C
いいえ
32℃
いいえ
33℃
いいえ
34℃
いいえ
35°C
はい
36℃
いいえ
37℃
いいえ
38°C
いいえ
39℃以上
いいえ
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 10, 2026, 1:04 AM ET
提案された結果: いいえ
異議申し立てなし
最終結果: いいえ
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: いいえ
異議申し立てなし
最終結果: いいえ
Recent official forecasts from the India Meteorological Department and supporting models indicate a maximum temperature near 35°C in Lucknow on June 12, driven by the southwest monsoon's northward advance combined with a western disturbance that has introduced increased cloud cover, humidity, and scattered rainfall, moderating peak daytime heating. This aligns with observed trends of cooling from earlier June highs exceeding 40°C, as moisture influx and reduced solar insolation limit surface warming under the current synoptic pattern. Trader consensus at 100% for the 35°C outcome reflects this strong data alignment ahead of final resolution based on official station readings. Unlikely but plausible challenges include rapid clearing of skies or delayed precipitation that could allow additional radiative heating, pushing readings higher than anticipated.
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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