**Recent official and ensemble forecasts for Karachi on September 18 point to a daytime maximum in the 32–34 °C range under partly cloudy skies with moderate southwest monsoon flow.** Multiple short-range models (including GFS-influenced guidance) show highs near 91–93 °F (≈33–34 °C), consistent with the market’s heaviest weighting on 34 °C (43 %) followed by 33 °C (28.5 %) and 35 °C (23.5 %). Coastal sea-breeze effects and residual cloud cover from earlier low-pressure activity over the northern Arabian Sea are expected to cap extreme heating, keeping the probability of 36 °C or higher below 15 % combined. Historical climatology for mid-September at Karachi Airport places the typical maximum near 32–33 °C, with only modest day-to-day variability once the monsoon trough shifts eastward. Current model consensus shows no strong ridge or clear-sky surge that would push temperatures significantly above this baseline, nor any organized rain that would sharply suppress the peak. Traders therefore concentrate probability around the narrow 33–35 °C band that aligns with the latest 48-hour forecast envelopes, while assigning low odds to outliers that would require either rapid clearing or an unexpected moisture surge. Updated model runs and Pakistan Meteorological Department guidance expected over the next 24 hours remain the key catalysts that could shift these implied probabilities.
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 September 18?
34°C 49%
33°C 26%
35°C 18%
31°C 10%
28°C or below
1%
29°C
1%
30°C
4%
31°C
10%
32°C
7%
33°C
26%
34°C
49%
35°C
18%
36°C
8%
37°C
5%
38°C or higher
1%
34°C 49%
33°C 26%
35°C 18%
31°C 10%
28°C or below
1%
29°C
1%
30°C
4%
31°C
10%
32°C
7%
33°C
26%
34°C
49%
35°C
18%
36°C
8%
37°C
5%
38°C or higher
1%
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=opkc
If NOAA data for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event that there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market will resolve once the first data point for the following date has been published on the resolution source, or by 11:59 PM ET on the day following the observation date, whichever comes first.
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: Sep 16, 2026, 12:58 AM ET
Sumber Resolusi
https://www.weather.gov/wrh/timeseries?site=opkcResolver
0x69c47De9D...The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=opkc
If NOAA data for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event that there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market will resolve once the first data point for the following date has been published on the resolution source, or by 11:59 PM ET on the day following the observation date, whichever comes first.
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.weather.gov/wrh/timeseries?site=opkcResolver
0x69c47De9D...**Recent official and ensemble forecasts for Karachi on September 18 point to a daytime maximum in the 32–34 °C range under partly cloudy skies with moderate southwest monsoon flow.** Multiple short-range models (including GFS-influenced guidance) show highs near 91–93 °F (≈33–34 °C), consistent with the market’s heaviest weighting on 34 °C (43 %) followed by 33 °C (28.5 %) and 35 °C (23.5 %). Coastal sea-breeze effects and residual cloud cover from earlier low-pressure activity over the northern Arabian Sea are expected to cap extreme heating, keeping the probability of 36 °C or higher below 15 % combined. Historical climatology for mid-September at Karachi Airport places the typical maximum near 32–33 °C, with only modest day-to-day variability once the monsoon trough shifts eastward. Current model consensus shows no strong ridge or clear-sky surge that would push temperatures significantly above this baseline, nor any organized rain that would sharply suppress the peak. Traders therefore concentrate probability around the narrow 33–35 °C band that aligns with the latest 48-hour forecast envelopes, while assigning low odds to outliers that would require either rapid clearing or an unexpected moisture surge. Updated model runs and Pakistan Meteorological Department guidance expected over the next 24 hours remain the key catalysts that could shift these implied probabilities.
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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