Official observations from the Ministro Pistarini International Airport station (SAEZ) in Buenos Aires, as reported by Weather Underground—the market's designated resolution source—confirm the highest temperature on April 2 reached 28°C, solidifying trader consensus at virtually 100% implied probability for that outcome. This aligns precisely with pre-event guidance from Argentina's Servicio Meteorológico Nacional (SMN) and ensemble forecasts from GFS and ECMWF models, which projected daytime highs near 28°C amid partly cloudy skies, light southerly winds, and moderate humidity typical for early autumn. The reading exceeds the April climatological average of about 23°C, reflecting a mild warm anomaly. Scenarios challenging this would require rare post hoc data corrections by SMN or Wunderground, with finalization expected imminently.
Resumen experimental generado por IA con datos de Polymarket · Actualizado¿Temperatura más alta en Buenos Aires el 2 de abril?
¿Temperatura más alta en Buenos Aires el 2 de abril?
28°C 100.0%
29°C <1%
30°C <1%
31°C <1%
$155,679 Vol.
$155,679 Vol.
28°C
100%
29°C
<1%
30°C
<1%
31°C
<1%
32°C
<1%
33°C o más
<1%
28°C 100.0%
29°C <1%
30°C <1%
31°C <1%
$155,679 Vol.
$155,679 Vol.
28°C
100%
29°C
<1%
30°C
<1%
31°C
<1%
32°C
<1%
33°C o más
<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 Minister Pistarini Intl Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/ar/ezeiza/SAEZ.
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, 6:02 AM ET
Fuente de resolución
https://www.wunderground.com/history/daily/ar/ezeiza/SAEZResolver
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 Minister Pistarini Intl Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/ar/ezeiza/SAEZ.
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.
Fuente de resolución
https://www.wunderground.com/history/daily/ar/ezeiza/SAEZResolver
0x69c47De9D...Official observations from the Ministro Pistarini International Airport station (SAEZ) in Buenos Aires, as reported by Weather Underground—the market's designated resolution source—confirm the highest temperature on April 2 reached 28°C, solidifying trader consensus at virtually 100% implied probability for that outcome. This aligns precisely with pre-event guidance from Argentina's Servicio Meteorológico Nacional (SMN) and ensemble forecasts from GFS and ECMWF models, which projected daytime highs near 28°C amid partly cloudy skies, light southerly winds, and moderate humidity typical for early autumn. The reading exceeds the April climatological average of about 23°C, reflecting a mild warm anomaly. Scenarios challenging this would require rare post hoc data corrections by SMN or Wunderground, with finalization expected imminently.
Resumen experimental generado por IA con datos de Polymarket · Actualizado
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