Recent India Meteorological Department (IMD) forecasts and ongoing heatwave conditions across Uttar Pradesh indicate daytime maxima near 42–44°C for Lucknow on June 23, with clear skies and potential loo winds sustaining high temperatures. Trader sentiment centers on 40–41°C outcomes amid model spread between IMD guidance and global ensembles, as monsoon trough positioning and any early moisture incursion could suppress peaks by 1–2°C or allow intensification. Historical June averages around 39°C and current above-normal departures (+3–4°C) underscore the elevated baseline, while the June 22 IMD bulletin and any updated numerical weather prediction runs represent the next key catalysts for odds shifts.
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 June 23?
40°C 100.0%
37°C or below <1%
38°C <1%
39°C <1%
$53,237 Vol.
$53,237 Vol.
37°C or below
No
38°C
No
39°C
No
40°C
Yes
41°C
No
42°C
No
43°C
No
44°C
No
45°C
No
46°C
No
47°C or higher
No
40°C 100.0%
37°C or below <1%
38°C <1%
39°C <1%
$53,237 Vol.
$53,237 Vol.
37°C or below
No
38°C
No
39°C
No
40°C
Yes
41°C
No
42°C
No
43°C
No
44°C
No
45°C
No
46°C
No
47°C or higher
No
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: Jun 21, 2026, 1:05 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...Hasil diajukan: No
Tidak ada sengketa
Hasil akhir: No
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...Hasil diajukan: No
Tidak ada sengketa
Hasil akhir: No
Recent India Meteorological Department (IMD) forecasts and ongoing heatwave conditions across Uttar Pradesh indicate daytime maxima near 42–44°C for Lucknow on June 23, with clear skies and potential loo winds sustaining high temperatures. Trader sentiment centers on 40–41°C outcomes amid model spread between IMD guidance and global ensembles, as monsoon trough positioning and any early moisture incursion could suppress peaks by 1–2°C or allow intensification. Historical June averages around 39°C and current above-normal departures (+3–4°C) underscore the elevated baseline, while the June 22 IMD bulletin and any updated numerical weather prediction runs represent the next key catalysts for odds shifts.
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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