Meteorological Service Singapore (MSS) forecasts for late March 2026 highlight more warm days with daily maximum temperatures reaching up to 34°C, driving trader consensus toward 32°C (45.5% implied probability) as the leading outcome for April 1 amid persistent above-average heat. Singapore's equatorial climate typically sees April highs of 31-33°C during the inter-monsoon period, influenced by sea breezes and high humidity, with recent observations like 33-34°C peaks reinforcing this positioning. The weakening La Niña transitioning to ENSO-neutral conditions further supports stable, warm patterns without strong cooling influences. Afternoon thundery showers remain a key uncertainty factor that could suppress peaks, while upcoming daily forecasts from MSS will likely sharpen probabilities ahead of resolution based on official station readings at Changi or equivalent sites.
Resumen experimental generado por IA con datos de Polymarket · ActualizadoHighest temperature in Singapore on April 1?
Highest temperature in Singapore on April 1?
32°C 44%
31°C 27%
33°C 24%
34°C 12%
26°C or below
<1%
27°C
<1%
28°C
5%
29°C
2%
30°C
8%
31°C
27%
32°C
44%
33°C
24%
34°C
12%
35°C
1%
36°C or higher
<1%
32°C 44%
31°C 27%
33°C 24%
34°C 12%
26°C or below
<1%
27°C
<1%
28°C
5%
29°C
2%
30°C
8%
31°C
27%
32°C
44%
33°C
24%
34°C
12%
35°C
1%
36°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 by the Forecast for the Singapore Changi Airport Station once information is finalized, 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 to "Yes" until all data for this date has been finalized.
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.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Mercado abierto: Mar 29, 2026, 3:04 PM ET
Resolution Source
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 by the Forecast for the Singapore Changi Airport Station once information is finalized, 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 to "Yes" until all data for this date has been finalized.
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.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Resolution Source
https://www.wunderground.com/history/daily/sg/singapore/WSSSResolver
0x69c47De9D...Meteorological Service Singapore (MSS) forecasts for late March 2026 highlight more warm days with daily maximum temperatures reaching up to 34°C, driving trader consensus toward 32°C (45.5% implied probability) as the leading outcome for April 1 amid persistent above-average heat. Singapore's equatorial climate typically sees April highs of 31-33°C during the inter-monsoon period, influenced by sea breezes and high humidity, with recent observations like 33-34°C peaks reinforcing this positioning. The weakening La Niña transitioning to ENSO-neutral conditions further supports stable, warm patterns without strong cooling influences. Afternoon thundery showers remain a key uncertainty factor that could suppress peaks, while upcoming daily forecasts from MSS will likely sharpen probabilities ahead of resolution based on official station readings at Changi or equivalent sites.
Resumen experimental generado por IA con datos de Polymarket · Actualizado
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