Persistent monsoon activity with widespread cloud cover and thunderstorms is the primary driver capping Lucknow's August 27 maximum near 31–32°C, aligning with the market's highest probabilities on those outcomes. Official IMD guidance and multiple forecast models indicate scattered heavy showers and high humidity that reduce insolation and enhance evaporative cooling, while steering patterns from the northeast limit warmer advection. Key variables include rainfall timing and intensity—earlier or more prolonged precipitation favors 30°C or below, whereas breaks in cloud cover could allow brief warming toward 33°C. Historical August baselines near 32–33°C provide context, yet current model consensus emphasizes suppressed highs due to active convection. Updated NWP runs and local observations tomorrow morning will refine resolution thresholds.
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8月27日のラクナウの最高気温は?
31°C 34%
32°C 23%
30°C 20%
29°C 12%
25°C or below
<1%
26°C
1%
27°C
1%
28°C
<1%
29°C
12%
30°C
20%
31°C
34%
32°C
23%
33°C
11%
34°C
4%
35°C or higher
<1%
31°C 34%
32°C 23%
30°C 20%
29°C 12%
25°C or below
<1%
26°C
1%
27°C
1%
28°C
<1%
29°C
12%
30°C
20%
31°C
34%
32°C
23%
33°C
11%
34°C
4%
35°C or higher
<1%
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=vilk
If NOAA data is unavailable or missing for the observation period, Weather Underground will be used as the secondary resolution source.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °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: Aug 25, 2026, 12:56 AM ET
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=vilk
If NOAA data is unavailable or missing for the observation period, Weather Underground will be used as the secondary resolution source.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °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.
Persistent monsoon activity with widespread cloud cover and thunderstorms is the primary driver capping Lucknow's August 27 maximum near 31–32°C, aligning with the market's highest probabilities on those outcomes. Official IMD guidance and multiple forecast models indicate scattered heavy showers and high humidity that reduce insolation and enhance evaporative cooling, while steering patterns from the northeast limit warmer advection. Key variables include rainfall timing and intensity—earlier or more prolonged precipitation favors 30°C or below, whereas breaks in cloud cover could allow brief warming toward 33°C. Historical August baselines near 32–33°C provide context, yet current model consensus emphasizes suppressed highs due to active convection. Updated NWP runs and local observations tomorrow morning will refine resolution thresholds.
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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