Recent forecasts from the India Meteorological Department highlight active southwest monsoon conditions over Uttar Pradesh, with Lucknow expected to see partly cloudy skies, scattered thundershowers, and high humidity levels near 80% moderating daytime heating. These factors favor a peak temperature around 34°C on August 13, aligning with the market's leading 29.5% implied probability, as cloud cover limits solar radiation while moisture fuels localized convection. Minor variations in shower timing or steering winds could easily differentiate outcomes between 33–36°C, reflecting typical August model spreads of 1–2°C. Historical baselines show similar monsoon-influenced maxima averaging 31–33°C, underscoring how subtle shifts in atmospheric moisture and instability drive the tight clustering of trader sentiment.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於8月13日勒克瑙的最高溫度?
34°C 27%
35°C 25%
36°C 21%
33°C 13%
28°C or below
<1%
29°C
<1%
30°C
<1%
31°C
1%
32°C
11%
33°C
13%
34°C
27%
35°C
25%
36°C
21%
37°C
6%
38°C or higher
1%
34°C 27%
35°C 25%
36°C 21%
33°C 13%
28°C or below
<1%
29°C
<1%
30°C
<1%
31°C
1%
32°C
11%
33°C
13%
34°C
27%
35°C
25%
36°C
21%
37°C
6%
38°C or higher
1%
This market will resolve to the temperature range that contains the highest temperature recorded at the Chaudhary Charan Singh Intl Airport Station in degrees Celsius on 13 Aug '26.
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.
市場開放時間: Aug 11, 2026, 1:02 AM ET
This market will resolve to the temperature range that contains the highest temperature recorded at the Chaudhary Charan Singh Intl Airport Station in degrees Celsius on 13 Aug '26.
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.
Recent forecasts from the India Meteorological Department highlight active southwest monsoon conditions over Uttar Pradesh, with Lucknow expected to see partly cloudy skies, scattered thundershowers, and high humidity levels near 80% moderating daytime heating. These factors favor a peak temperature around 34°C on August 13, aligning with the market's leading 29.5% implied probability, as cloud cover limits solar radiation while moisture fuels localized convection. Minor variations in shower timing or steering winds could easily differentiate outcomes between 33–36°C, reflecting typical August model spreads of 1–2°C. Historical baselines show similar monsoon-influenced maxima averaging 31–33°C, underscoring how subtle shifts in atmospheric moisture and instability drive the tight clustering of trader sentiment.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於

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