Trader sentiment for Lucknow’s June 15 maximum temperature centers on short-range forecasts from the India Meteorological Department and global models, which indicate a peak near 38°C under typical pre-monsoon conditions in the Indo-Gangetic plain. Strong solar insolation, low humidity, and light winds favor heat accumulation, while any late-day moisture incursion or increased cloud cover could cap readings at 37°C. Recent observed maxima of 37–39°C and model consensus on limited convective suppression support the tight clustering around 37–39°C, with historical June averages near 39°C providing context for the narrow spread. Resolution hinges on the official IMD observation, which carries inherent uncertainty from local urban effects and forecast timing.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-updateHighest temperature in Lucknow on June 15?
38°C 33%
37°C 28%
39°C 14%
36°C 10%
34°C or below
<1%
35°C
2%
36°C
10%
37°C
28%
38°C
33%
39°C
14%
40°C
5%
41°C
1%
42°C
1%
43°C
1%
44°C or higher
<1%
38°C 33%
37°C 28%
39°C 14%
36°C 10%
34°C or below
<1%
35°C
2%
36°C
10%
37°C
28%
38°C
33%
39°C
14%
40°C
5%
41°C
1%
42°C
1%
43°C
1%
44°C or higher
<1%
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.
Binuksan ang Market: Jun 13, 2026, 1:03 AM ET
Resolution Source
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.
Resolution Source
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...Trader sentiment for Lucknow’s June 15 maximum temperature centers on short-range forecasts from the India Meteorological Department and global models, which indicate a peak near 38°C under typical pre-monsoon conditions in the Indo-Gangetic plain. Strong solar insolation, low humidity, and light winds favor heat accumulation, while any late-day moisture incursion or increased cloud cover could cap readings at 37°C. Recent observed maxima of 37–39°C and model consensus on limited convective suppression support the tight clustering around 37–39°C, with historical June averages near 39°C providing context for the narrow spread. Resolution hinges on the official IMD observation, which carries inherent uncertainty from local urban effects and forecast timing.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update
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