Recent monsoon activity across northern India, including ongoing spells of rain and thundershowers in Uttar Pradesh, has moderated daytime heating in Lucknow through increased cloud cover and evaporative cooling. Official monitoring indicates typical July highs near 33°C, yet frequent precipitation and high humidity—common during the active phase of the southwest monsoon—tend to cap peaks at 30–32°C. Model consensus from extended-range forecasts shows subtle differences in the timing and intensity of showers expected around July 20, which directly influence solar radiation and the resulting maximum temperature. With leading market outcomes clustered tightly at 30–31°C, traders are pricing in this narrow band of forecast uncertainty rather than a single deterministic value, as small shifts in rainfall timing can swing the daily high by 1–2°C.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Lucknow on July 20?
30°C 33%
29°C 23%
31°C 18%
28°C 13%
23°C or below
<1%
24°C
<1%
25°C
<1%
26°C
<1%
27°C
2%
28°C
13%
29°C
23%
30°C
33%
31°C
18%
32°C
6%
33°C or higher
2%
30°C 33%
29°C 23%
31°C 18%
28°C 13%
23°C or below
<1%
24°C
<1%
25°C
<1%
26°C
<1%
27°C
2%
28°C
13%
29°C
23%
30°C
33%
31°C
18%
32°C
6%
33°C or higher
2%
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.
Pasar Dibuka: Jul 18, 2026, 1:03 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...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.
Sumber Resolusi
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...Recent monsoon activity across northern India, including ongoing spells of rain and thundershowers in Uttar Pradesh, has moderated daytime heating in Lucknow through increased cloud cover and evaporative cooling. Official monitoring indicates typical July highs near 33°C, yet frequent precipitation and high humidity—common during the active phase of the southwest monsoon—tend to cap peaks at 30–32°C. Model consensus from extended-range forecasts shows subtle differences in the timing and intensity of showers expected around July 20, which directly influence solar radiation and the resulting maximum temperature. With leading market outcomes clustered tightly at 30–31°C, traders are pricing in this narrow band of forecast uncertainty rather than a single deterministic value, as small shifts in rainfall timing can swing the daily high by 1–2°C.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui

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