Official forecasts from the India Meteorological Department and numerical weather models indicate monsoon-driven cloud cover, high humidity near 90%, and scattered thunderstorms will cap daytime heating in Lucknow, producing a maximum temperature of 32°C on August 28. Persistent moisture and reduced insolation align with seasonal norms for late August in Uttar Pradesh, where typical highs range 30–34°C amid active monsoon conditions. Trader consensus at 100% implied probability for 32°C reflects convergence across multiple model runs and real-time observations showing afternoon peaks near this threshold. Outlier scenarios such as unexpectedly rapid storm dissipation or clearer skies allowing greater solar radiation could push readings 1–2°C higher, though current steering patterns and moisture fields make substantial deviations unlikely before resolution.
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28日勒克瑙的最高溫度?
32°C 100.0%
26°C or below <1%
27°C <1%
28°C <1%
$18,235 交易量
$18,235 交易量
26°C or below
No
27°C
No
28°C
No
29°C
No
30°C
No
31°C
No
32°C
Yes
33°C
No
34°C
No
35°C
No
36°C or higher
No
32°C 100.0%
26°C or below <1%
27°C <1%
28°C <1%
$18,235 交易量
$18,235 交易量
26°C or below
No
27°C
No
28°C
No
29°C
No
30°C
No
31°C
No
32°C
Yes
33°C
No
34°C
No
35°C
No
36°C or higher
No
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.
市場開放時間: Aug 26, 2026, 12:56 AM ET
已提議結果: No
無爭議
最終結果: No
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.
已提議結果: No
無爭議
最終結果: No
Official forecasts from the India Meteorological Department and numerical weather models indicate monsoon-driven cloud cover, high humidity near 90%, and scattered thunderstorms will cap daytime heating in Lucknow, producing a maximum temperature of 32°C on August 28. Persistent moisture and reduced insolation align with seasonal norms for late August in Uttar Pradesh, where typical highs range 30–34°C amid active monsoon conditions. Trader consensus at 100% implied probability for 32°C reflects convergence across multiple model runs and real-time observations showing afternoon peaks near this threshold. Outlier scenarios such as unexpectedly rapid storm dissipation or clearer skies allowing greater solar radiation could push readings 1–2°C higher, though current steering patterns and moisture fields make substantial deviations unlikely before resolution.
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

警惕外部連結哦。
警惕外部連結哦。
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