Trader consensus on Polymarket reflects high uncertainty in Sao Paulo's highest temperature on April 6, with implied probabilities tightly clustered around 14.5% for both 25°C and 31°C amid divergent short-range forecasts. Instituto Nacional de Meteorologia (INMET) latest bulletin for March 30–April 6 highlights irregular rains and above-average heat in central-southern Brazil, including Southeast coastal zones like Sao Paulo state, where frontal systems introduce cloud cover variability that could suppress peaks to 23–25°C under showers or permit 30–33°C highs on clearer days boosted by urban heat island effects and lingering El Niño influences. Historical April averages hover near 25°C, but model ensembles like GFS and ECMWF show spread due to steering winds and moisture influx; watch daily INMET updates and 12z model runs for shifts ahead of resolution at official airport observations.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket · ОбновленоСамая высокая температура в Сан-Паулу 6 апреля?
Самая высокая температура в Сан-Паулу 6 апреля?
27°C 16%
28°C 15%
31°C 15%
25°C 14%
23°C или ниже
12%
24°C
7%
25°C
14%
26°C
10%
27°C
16%
28°C
15%
29°C
11%
30°C
9%
31°C
15%
32°C
7%
33°C или выше
5%
27°C 16%
28°C 15%
31°C 15%
25°C 14%
23°C или ниже
12%
24°C
7%
25°C
14%
26°C
10%
27°C
16%
28°C
15%
29°C
11%
30°C
9%
31°C
15%
32°C
7%
33°C или выше
5%
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 Sao Paulo-Guarulhos International Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/br/guarulhos/SBGR.
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.
Открытие рынка: Apr 2, 2026, 6:01 AM ET
Источник определения исхода
https://www.wunderground.com/history/daily/br/guarulhos/SBGRResolver
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 Sao Paulo-Guarulhos International Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/br/guarulhos/SBGR.
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.
Источник определения исхода
https://www.wunderground.com/history/daily/br/guarulhos/SBGRResolver
0x69c47De9D...Trader consensus on Polymarket reflects high uncertainty in Sao Paulo's highest temperature on April 6, with implied probabilities tightly clustered around 14.5% for both 25°C and 31°C amid divergent short-range forecasts. Instituto Nacional de Meteorologia (INMET) latest bulletin for March 30–April 6 highlights irregular rains and above-average heat in central-southern Brazil, including Southeast coastal zones like Sao Paulo state, where frontal systems introduce cloud cover variability that could suppress peaks to 23–25°C under showers or permit 30–33°C highs on clearer days boosted by urban heat island effects and lingering El Niño influences. Historical April averages hover near 25°C, but model ensembles like GFS and ECMWF show spread due to steering winds and moisture influx; watch daily INMET updates and 12z model runs for shifts ahead of resolution at official airport observations.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket · Обновлено
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