Singapore's equatorial climate produces consistent daily highs near 31°C in June, with typical ranges of 30-33°C driven by high solar insolation and limited seasonal variation. Emerging El Niño conditions, projected by the Meteorological Service Singapore to develop in June-July 2026 alongside a positive Indian Ocean Dipole, are enhancing warmer and drier patterns that favor temperatures at or above average through the month. Recent June observations, including a peak of 35.1°C early in the period, align with model consensus for stable conditions near June 21, supporting trader emphasis on 30-31°C outcomes while acknowledging forecast uncertainty from cloud cover or localized convection.
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 21?
32°C 100.0%
24°C or below <1%
25°C <1%
26°C <1%
$112,771 Vol.
$112,771 Vol.
24°C or below
No
25°C
No
26°C
No
27°C
No
28°C
No
29°C
No
30°C
No
31°C
No
32°C
Yes
33°C
No
34°C or higher
No
32°C 100.0%
24°C or below <1%
25°C <1%
26°C <1%
$112,771 Vol.
$112,771 Vol.
24°C or below
No
25°C
No
26°C
No
27°C
No
28°C
No
29°C
No
30°C
No
31°C
No
32°C
Yes
33°C
No
34°C or higher
No
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 19, 2026, 12:04 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/sg/singapore/WSSSResolver
0x69c47De9D...Hasil diajukan: No
Tidak ada sengketa
Hasil akhir: No
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...Hasil diajukan: No
Tidak ada sengketa
Hasil akhir: No
Singapore's equatorial climate produces consistent daily highs near 31°C in June, with typical ranges of 30-33°C driven by high solar insolation and limited seasonal variation. Emerging El Niño conditions, projected by the Meteorological Service Singapore to develop in June-July 2026 alongside a positive Indian Ocean Dipole, are enhancing warmer and drier patterns that favor temperatures at or above average through the month. Recent June observations, including a peak of 35.1°C early in the period, align with model consensus for stable conditions near June 21, supporting trader emphasis on 30-31°C outcomes while acknowledging forecast uncertainty from cloud cover or localized convection.
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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