Recent forecasts from global models and the Pakistan Meteorological Department indicate Karachi's June 27 maximum will likely reach 33–35°C under typical pre-monsoon conditions, with sea breezes from the Arabian Sea and variable cloud cover moderating peaks. The near-even split between 34°C and 35°C market-implied odds reflects tight model consensus around 92–94°F (33–34°C) with minor spreads in afternoon heating tied to wind speed and humidity levels near 55–70%. Scattered late-day showers noted in some runs could cap the high slightly lower, while clearer intervals or reduced winds would favor the upper end. Updated model runs and official PMD guidance over the next 48 hours remain the key variables for traders assessing resolution risk.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Karachi on June 27?
35°C 62%
34°C 29%
36°C 7%
33°C 4.6%
$14,684 Vol.
$14,684 Vol.
29°C or below
<1%
30°C
<1%
31°C
<1%
32°C
1%
33°C
5%
34°C
29%
35°C
62%
36°C
7%
37°C
1%
38°C
<1%
39°C or higher
<1%
35°C 62%
34°C 29%
36°C 7%
33°C 4.6%
$14,684 Vol.
$14,684 Vol.
29°C or below
<1%
30°C
<1%
31°C
<1%
32°C
1%
33°C
5%
34°C
29%
35°C
62%
36°C
7%
37°C
1%
38°C
<1%
39°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 Masroor Airbase Station, available here: https://www.wunderground.com/history/daily/pk/karachi/OPKC.
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 25, 2026, 1:03 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/pk/karachi/OPKCResolver
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 Masroor Airbase Station, available here: https://www.wunderground.com/history/daily/pk/karachi/OPKC.
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/pk/karachi/OPKCResolver
0x69c47De9D...Recent forecasts from global models and the Pakistan Meteorological Department indicate Karachi's June 27 maximum will likely reach 33–35°C under typical pre-monsoon conditions, with sea breezes from the Arabian Sea and variable cloud cover moderating peaks. The near-even split between 34°C and 35°C market-implied odds reflects tight model consensus around 92–94°F (33–34°C) with minor spreads in afternoon heating tied to wind speed and humidity levels near 55–70%. Scattered late-day showers noted in some runs could cap the high slightly lower, while clearer intervals or reduced winds would favor the upper end. Updated model runs and official PMD guidance over the next 48 hours remain the key variables for traders assessing resolution risk.
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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