Singapore's equatorial position and Southwest Monsoon regime keep daily maxima typically between 30–34 °C in late June, with the market clustering tightly around 30–32 °C because short-term model runs show only modest day-to-day differences. Cloud cover, convective showers, and wind speed are the dominant variables: thicker cloud reduces incoming solar radiation and caps the peak, while clearer intervals under the monsoon flow allow temperatures to reach the low 32 °C range. Recent NEA guidance and international models indicate scattered showers and moderate humidity through the weekend, keeping most ensemble members near 31 °C; any reduction in rainfall or increase in insolation could shift the outcome upward by 1 °C. Historical June maxima average near 31 °C, so traders are pricing the narrow scientific uncertainty between typical monsoon suppression and occasional clearer, warmer spells.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日6月30日のシンガポールの最高気温は?
28°C 100.0%
24°C or below <1%
25°C <1%
26°C <1%
$96,947 Vol.
$96,947 Vol.
24°C or below
No
25°C
No
26°C
No
27°C
No
28°C
Yes
29°C
No
30°C
No
31°C
No
32°C
No
33°C
No
34°C or higher
No
28°C 100.0%
24°C or below <1%
25°C <1%
26°C <1%
$96,947 Vol.
$96,947 Vol.
24°C or below
No
25°C
No
26°C
No
27°C
No
28°C
Yes
29°C
No
30°C
No
31°C
No
32°C
No
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.
マーケット開始日: Jun 28, 2026, 12:02 AM ET
提案された結果: No
異議申し立てなし
最終結果: 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.
提案された結果: No
異議申し立てなし
最終結果: No
Singapore's equatorial position and Southwest Monsoon regime keep daily maxima typically between 30–34 °C in late June, with the market clustering tightly around 30–32 °C because short-term model runs show only modest day-to-day differences. Cloud cover, convective showers, and wind speed are the dominant variables: thicker cloud reduces incoming solar radiation and caps the peak, while clearer intervals under the monsoon flow allow temperatures to reach the low 32 °C range. Recent NEA guidance and international models indicate scattered showers and moderate humidity through the weekend, keeping most ensemble members near 31 °C; any reduction in rainfall or increase in insolation could shift the outcome upward by 1 °C. Historical June maxima average near 31 °C, so traders are pricing the narrow scientific uncertainty between typical monsoon suppression and occasional clearer, warmer spells.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日


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