Recent model consensus from European and global ensembles indicates Milan will likely see a daily high around or below 32°C on July 15, driven by increased cloud cover, easterly flow, and limited daytime heating ahead of a weak frontal passage. This positions the 32°C-or-below outcome as the market leader, consistent with official station data from Malpensa and historical July variability where transient cooling reduces peak values below seasonal averages of 30–33°C. Upcoming high-resolution runs from the ECMWF and Italian Meteorological Service will refine whether any late intensification of insolation pushes readings into the 33–34°C range. Trader sentiment reflects these near-term atmospheric steering patterns rather than long-term climatology.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Milan on July 15?
34°C 32%
33°C 24%
35°C 18%
32°C or below 13%
$11,571 Vol.
$11,571 Vol.
32°C or below
13%
33°C
24%
34°C
32%
35°C
18%
36°C
10%
37°C
1%
38°C
<1%
39°C
<1%
40°C
<1%
41°C
<1%
42°C or higher
<1%
34°C 32%
33°C 24%
35°C 18%
32°C or below 13%
$11,571 Vol.
$11,571 Vol.
32°C or below
13%
33°C
24%
34°C
32%
35°C
18%
36°C
10%
37°C
1%
38°C
<1%
39°C
<1%
40°C
<1%
41°C
<1%
42°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 Malpensa Intl Airport Station, available here: https://www.wunderground.com/history/daily/it/milan/LIMC.
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: Jul 13, 2026, 12:02 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/it/milan/LIMCResolver
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 Malpensa Intl Airport Station, available here: https://www.wunderground.com/history/daily/it/milan/LIMC.
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/it/milan/LIMCResolver
0x69c47De9D...Recent model consensus from European and global ensembles indicates Milan will likely see a daily high around or below 32°C on July 15, driven by increased cloud cover, easterly flow, and limited daytime heating ahead of a weak frontal passage. This positions the 32°C-or-below outcome as the market leader, consistent with official station data from Malpensa and historical July variability where transient cooling reduces peak values below seasonal averages of 30–33°C. Upcoming high-resolution runs from the ECMWF and Italian Meteorological Service will refine whether any late intensification of insolation pushes readings into the 33–34°C range. Trader sentiment reflects these near-term atmospheric steering patterns rather than long-term climatology.
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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