Trader consensus on Polymarket overwhelmingly favors a highest temperature of 32°C or below in Lucknow on March 27, with 100% implied probability, reflecting India Meteorological Department (IMD) forecasts projecting daytime highs of 30–32°C amid clear skies and moderate northeasterly winds. Recent surface observations from Lucknow's Amausi airport station and satellite-derived cloud cover data confirm stable conditions, lacking the subsidence or hot air advection needed for intensification—consistent with early spring patterns before pre-monsoon heating. Historical March averages hover around 33°C, but current model ensembles from IMD's Global Forecast System show no exceedance risk. Upsets could stem from unexpected solar heating spikes or wind shifts, though low-likelihood per ensemble spreads; official IMD readings will resolve post-sunset.
基于Polymarket数据的AI实验性摘要 · 更新于3月27日勒克瑙的最高温度?
3月27日勒克瑙的最高温度?
32°C或以下 100.0%
33°C <1%
34°C <1%
35°C <1%
$88,817 交易量
$88,817 交易量
32°C或以下
是
33°C
否
34°C
否
35°C
否
36°C
否
37°C
否
38°C
否
39°C
否
40°C
否
41°C
否
42°C或更高
否
32°C或以下 100.0%
33°C <1%
34°C <1%
35°C <1%
$88,817 交易量
$88,817 交易量
32°C或以下
是
33°C
否
34°C
否
35°C
否
36°C
否
37°C
否
38°C
否
39°C
否
40°C
否
41°C
否
42°C或更高
否
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Chaudhary Charan Singh Intl Airport Station once information is finalized, 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 to "Yes" until all data for this date has been finalized.
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.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
市场开放时间: Mar 23, 2026, 6:02 AM ET
Resolution Source
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...已提议结果: 否
无争议
最终结果: 否
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Chaudhary Charan Singh Intl Airport Station once information is finalized, 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 to "Yes" until all data for this date has been finalized.
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.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Resolution Source
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...已提议结果: 否
无争议
最终结果: 否
Trader consensus on Polymarket overwhelmingly favors a highest temperature of 32°C or below in Lucknow on March 27, with 100% implied probability, reflecting India Meteorological Department (IMD) forecasts projecting daytime highs of 30–32°C amid clear skies and moderate northeasterly winds. Recent surface observations from Lucknow's Amausi airport station and satellite-derived cloud cover data confirm stable conditions, lacking the subsidence or hot air advection needed for intensification—consistent with early spring patterns before pre-monsoon heating. Historical March averages hover around 33°C, but current model ensembles from IMD's Global Forecast System show no exceedance risk. Upsets could stem from unexpected solar heating spikes or wind shifts, though low-likelihood per ensemble spreads; official IMD readings will resolve post-sunset.
基于Polymarket数据的AI实验性摘要 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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