Trader consensus around 32–33°C for Panama City’s July 1 high reflects stable early wet-season conditions, where climatological afternoon maxima average near 30–31°C. Short-term model guidance shows limited day-to-day variability, with modest convective cloud cover and typical humidity suppressing extreme outliers while allowing brief clearing to push readings into the low 30s. Key differentiators between the tightly bunched 31–34°C outcomes include the timing and coverage of tropical showers, which can cap peak temperatures by 1–2°C, versus any brief breaks in cloudiness that favor the upper end of the distribution. Official observations from nearby stations will determine the exact maximum under standard meteorological measurement protocols.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · ActualizadoHighest temperature in Panama City on July 1?
32°C 33%
33°C 32%
34°C 12%
31°C 12%
27°C or below
<1%
28°C
<1%
29°C
2%
30°C
3%
31°C
12%
32°C
33%
33°C
32%
34°C
12%
35°C
4%
36°C
2%
37°C or higher
1%
32°C 33%
33°C 32%
34°C 12%
31°C 12%
27°C or below
<1%
28°C
<1%
29°C
2%
30°C
3%
31°C
12%
32°C
33%
33°C
32%
34°C
12%
35°C
4%
36°C
2%
37°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 for the Marcos A. Gelabert Intl Airport Station, available here: https://www.wunderground.com/history/daily/pa/panama-city/MPMG.
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.
Mercado abierto: Jun 29, 2026, 9:03 PM ET
Fuente de resolución
https://www.wunderground.com/history/daily/pa/panama-city/MPMGResolver
0x69c47De9D...The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Marcos A. Gelabert Intl Airport Station, available here: https://www.wunderground.com/history/daily/pa/panama-city/MPMG.
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.
Fuente de resolución
https://www.wunderground.com/history/daily/pa/panama-city/MPMGResolver
0x69c47De9D...Trader consensus around 32–33°C for Panama City’s July 1 high reflects stable early wet-season conditions, where climatological afternoon maxima average near 30–31°C. Short-term model guidance shows limited day-to-day variability, with modest convective cloud cover and typical humidity suppressing extreme outliers while allowing brief clearing to push readings into the low 30s. Key differentiators between the tightly bunched 31–34°C outcomes include the timing and coverage of tropical showers, which can cap peak temperatures by 1–2°C, versus any brief breaks in cloudiness that favor the upper end of the distribution. Official observations from nearby stations will determine the exact maximum under standard meteorological measurement protocols.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
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