Recent forecasts for Panama City, Panama, indicate afternoon highs near 29–30°C amid typical late-August conditions in the wet season, with high humidity, scattered convection, and easterly trade winds moderating daytime peaks. Trader consensus favoring 31–32°C over lower or higher outcomes reflects expectations that reduced cloud cover or delayed showers could allow slightly greater solar heating compared to climatological averages around 30°C. Key differentiating factors include the timing and intensity of diurnal thunderstorms—which often cap maxima through evaporative cooling and increased albedo—and subtle variations in boundary-layer moisture or wind speed that influence the precise peak reading at official stations. No anomalous large-scale patterns, such as suppressed convection or anomalous warming, have emerged in recent model guidance to shift odds decisively.
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8月30日のパナマシティの最高気温は?
32℃ 37%
31°C 36%
30℃ 8%
33℃ 8%
24°C以下
<1%
25°C
<1%
26°C
<1%
27°C
<1%
28℃
1%
29℃
3%
30℃
8%
31°C
36%
32℃
37%
33℃
8%
34℃以上
4%
32℃ 37%
31°C 36%
30℃ 8%
33℃ 8%
24°C以下
<1%
25°C
<1%
26°C
<1%
27°C
<1%
28℃
1%
29℃
3%
30℃
8%
31°C
36%
32℃
37%
33℃
8%
34℃以上
4%
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=mpmg
If NOAA data for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °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: Aug 28, 2026, 2:56 PM ET
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=mpmg
If NOAA data for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °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.
Recent forecasts for Panama City, Panama, indicate afternoon highs near 29–30°C amid typical late-August conditions in the wet season, with high humidity, scattered convection, and easterly trade winds moderating daytime peaks. Trader consensus favoring 31–32°C over lower or higher outcomes reflects expectations that reduced cloud cover or delayed showers could allow slightly greater solar heating compared to climatological averages around 30°C. Key differentiating factors include the timing and intensity of diurnal thunderstorms—which often cap maxima through evaporative cooling and increased albedo—and subtle variations in boundary-layer moisture or wind speed that influence the precise peak reading at official stations. No anomalous large-scale patterns, such as suppressed convection or anomalous warming, have emerged in recent model guidance to shift odds decisively.
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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