Recent forecast models from sources like AccuWeather and Pakistan Meteorological Department point to July 29 highs in Karachi around 31–34°C amid the active southwest monsoon, with patchy rain or drizzle possible that could enhance cloud cover and moderate peaks through evaporative cooling and reduced solar radiation. Above-normal seasonal temperatures driven by ENSO and Indian Ocean Dipole conditions add upward pressure, while coastal sea breezes and humidity levels introduce variability in daily maxima. Trader consensus clusters on 34–35°C because model spreads center there, with lower probabilities for extremes reflecting historical July averages near 33°C and the narrow two-day window before resolution. Updated PMD briefings and international ensemble runs will likely refine these outcomes.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado¿La temperatura más alta en Karachi el 29 de julio?
35°C 40%
34°C 30%
36°C 16%
33°C 13%
30°C o menos
<1%
31°C
3%
32°C
10%
33°C
13%
34°C
30%
35°C
40%
36°C
16%
37°C
4%
38°C
5%
39°C
1%
40°C o más
<1%
35°C 40%
34°C 30%
36°C 16%
33°C 13%
30°C o menos
<1%
31°C
3%
32°C
10%
33°C
13%
34°C
30%
35°C
40%
36°C
16%
37°C
4%
38°C
5%
39°C
1%
40°C o más
<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.
Mercado abierto: Jul 27, 2026, 4:07 AM ET
Fuente de resolución
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.
Fuente de resolución
https://www.wunderground.com/history/daily/pk/karachi/OPKCResolver
0x69c47De9D...Recent forecast models from sources like AccuWeather and Pakistan Meteorological Department point to July 29 highs in Karachi around 31–34°C amid the active southwest monsoon, with patchy rain or drizzle possible that could enhance cloud cover and moderate peaks through evaporative cooling and reduced solar radiation. Above-normal seasonal temperatures driven by ENSO and Indian Ocean Dipole conditions add upward pressure, while coastal sea breezes and humidity levels introduce variability in daily maxima. Trader consensus clusters on 34–35°C because model spreads center there, with lower probabilities for extremes reflecting historical July averages near 33°C and the narrow two-day window before resolution. Updated PMD briefings and international ensemble runs will likely refine these outcomes.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado



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