Recent El Niño conditions and a developing positive Indian Ocean Dipole have promoted warmer, drier conditions across Singapore since early June 2026, elevating daytime maxima above the long-term June climatological average of 31°C. However, widespread convective showers on June 12 produced a sharp surface cooling to 20.1°C and increased cloud cover, moderating the near-term outlook. Official Meteorological Service Singapore guidance and model consensus for June 15 favor partly cloudy skies with moderate southwest monsoon winds, which typically limit afternoon peaks to 31–32°C. These factors align trader consensus around 31°C as the leading outcome while maintaining meaningful probability mass on 30°C and 32°C, reflecting residual uncertainty in convective timing and local heating.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Singapore on June 15?
31°C 47%
30°C 25%
32°C 25%
29°C 3.5%
25°C or below
<1%
26°C
<1%
27°C
<1%
28°C
<1%
29°C
3%
30°C
25%
31°C
47%
32°C
25%
33°C
3%
34°C
1%
35°C or higher
<1%
31°C 47%
30°C 25%
32°C 25%
29°C 3.5%
25°C or below
<1%
26°C
<1%
27°C
<1%
28°C
<1%
29°C
3%
30°C
25%
31°C
47%
32°C
25%
33°C
3%
34°C
1%
35°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 Singapore Changi Airport Station, available here: https://www.wunderground.com/history/daily/sg/singapore/WSSS.
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 13, 2026, 12:12 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/sg/singapore/WSSSResolver
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 Singapore Changi Airport Station, available here: https://www.wunderground.com/history/daily/sg/singapore/WSSS.
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/sg/singapore/WSSSResolver
0x69c47De9D...Recent El Niño conditions and a developing positive Indian Ocean Dipole have promoted warmer, drier conditions across Singapore since early June 2026, elevating daytime maxima above the long-term June climatological average of 31°C. However, widespread convective showers on June 12 produced a sharp surface cooling to 20.1°C and increased cloud cover, moderating the near-term outlook. Official Meteorological Service Singapore guidance and model consensus for June 15 favor partly cloudy skies with moderate southwest monsoon winds, which typically limit afternoon peaks to 31–32°C. These factors align trader consensus around 31°C as the leading outcome while maintaining meaningful probability mass on 30°C and 32°C, reflecting residual uncertainty in convective timing and local heating.
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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