Recent monsoon activity and associated rainfall patterns are the dominant drivers of trader sentiment for Lucknow's July 17 maximum temperature, with forecasts indicating 34–36°C amid variable cloud cover and showers that could suppress peaks below recent 40°C+ readings. Short-range models show divergence on exact rainfall timing and intensity over Uttar Pradesh, creating the broad probability spread across 32–35°C outcomes. Key variables include daytime cloud fraction and convective precipitation reducing insolation, surface humidity and soil moisture from ongoing southwest monsoon flow, and any shifts in low-level winds that modulate heat advection. Official guidance from the India Meteorological Department highlights hot and humid conditions with isolated thundershowers, keeping 33°C as the narrow plurality while underscoring forecast uncertainty two days out.
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7月17日のラクナウの最高気温は?
35℃以上 100.0%
25℃以下 <1%
26°C <1%
27°C <1%
$39,215 Vol.
$39,215 Vol.
25℃以下
いいえ
26°C
いいえ
27°C
いいえ
28°C
いいえ
29℃
いいえ
30°C
いいえ
31°C
いいえ
32℃
いいえ
33℃
いいえ
34℃
いいえ
35℃以上
はい
35℃以上 100.0%
25℃以下 <1%
26°C <1%
27°C <1%
$39,215 Vol.
$39,215 Vol.
25℃以下
いいえ
26°C
いいえ
27°C
いいえ
28°C
いいえ
29℃
いいえ
30°C
いいえ
31°C
いいえ
32℃
いいえ
33℃
いいえ
34℃
いいえ
35℃以上
はい
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: Jul 15, 2026, 1:03 AM ET
提案された結果: いいえ
異議申し立てなし
最終結果: いいえ
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.
提案された結果: いいえ
異議申し立てなし
最終結果: いいえ
Recent monsoon activity and associated rainfall patterns are the dominant drivers of trader sentiment for Lucknow's July 17 maximum temperature, with forecasts indicating 34–36°C amid variable cloud cover and showers that could suppress peaks below recent 40°C+ readings. Short-range models show divergence on exact rainfall timing and intensity over Uttar Pradesh, creating the broad probability spread across 32–35°C outcomes. Key variables include daytime cloud fraction and convective precipitation reducing insolation, surface humidity and soil moisture from ongoing southwest monsoon flow, and any shifts in low-level winds that modulate heat advection. Official guidance from the India Meteorological Department highlights hot and humid conditions with isolated thundershowers, keeping 33°C as the narrow plurality while underscoring forecast uncertainty two days out.
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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