Recent short-range forecasts from the India Meteorological Department point to partly cloudy skies with scattered thundershowers over Lucknow on August 13, typical of peak southwest monsoon conditions that limit daytime surface heating through persistent cloud cover, high humidity, and evaporative cooling. These dynamics explain the tight clustering of market-implied odds around 34–36 °C, where modest differences in convective timing, cloud-break duration, or localized rainfall intensity can shift the daily maximum by 1–2 °C. Historical August baselines near 31–33 °C provide context, but current steering patterns and moisture influx sustain elevated humidity that tempers extremes. Updated model runs overnight will refine land-sea breeze influences and precipitation timing ahead of resolution.
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13日のラクナウの最高気温は?
34°C 27%
35°C 26%
36°C 25%
32°C 11%
28°C or below
<1%
29°C
<1%
30°C
<1%
31°C
2%
32°C
11%
33°C
9%
34°C
27%
35°C
26%
36°C
25%
37°C
7%
38°C or higher
1%
34°C 27%
35°C 26%
36°C 25%
32°C 11%
28°C or below
<1%
29°C
<1%
30°C
<1%
31°C
2%
32°C
11%
33°C
9%
34°C
27%
35°C
26%
36°C
25%
37°C
7%
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.
マーケット開始日: 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 short-range forecasts from the India Meteorological Department point to partly cloudy skies with scattered thundershowers over Lucknow on August 13, typical of peak southwest monsoon conditions that limit daytime surface heating through persistent cloud cover, high humidity, and evaporative cooling. These dynamics explain the tight clustering of market-implied odds around 34–36 °C, where modest differences in convective timing, cloud-break duration, or localized rainfall intensity can shift the daily maximum by 1–2 °C. Historical August baselines near 31–33 °C provide context, but current steering patterns and moisture influx sustain elevated humidity that tempers extremes. Updated model runs overnight will refine land-sea breeze influences and precipitation timing ahead of resolution.
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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