Current short-term forecasts from regional models and Panama's ETESA service point to a daily maximum near 33–34°C in Panama City on July 16, reflecting typical wet-season conditions with strong solar heating, high humidity, and afternoon convective clouds that can cap or slightly suppress peaks. Traders assign the highest probabilities to these outcomes because historical July averages hover around 30–31°C, while 2026 monthly guidance has shown occasional excursions into the mid-30s when trade winds weaken and sea-surface temperatures remain elevated. Differentiation between 32°C and 35°C hinges on precise timing of cloud development, boundary-layer moisture, and any localized sea-breeze effects, with model runs diverging on whether convection initiates before or after the daily high is reached. Updated guidance expected overnight will likely refine these probabilities ahead of resolution.
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7月16日のパナマシティの最高気温は?
34°C 100.0%
28°C以下 <1%
29℃ <1%
30℃ <1%
$34,978 Vol.
$34,978 Vol.
28°C以下
いいえ
29℃
いいえ
30℃
いいえ
31°C
いいえ
32℃
いいえ
33℃
いいえ
34°C
はい
35°C
いいえ
36°C
いいえ
37°C
いいえ
38°C以上
いいえ
34°C 100.0%
28°C以下 <1%
29℃ <1%
30℃ <1%
$34,978 Vol.
$34,978 Vol.
28°C以下
いいえ
29℃
いいえ
30℃
いいえ
31°C
いいえ
32℃
いいえ
33℃
いいえ
34°C
はい
35°C
いいえ
36°C
いいえ
37°C
いいえ
38°C以上
いいえ
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.
マーケット開始日: Jul 14, 2026, 9:04 PM ET
提案された結果: いいえ
異議申し立てなし
最終結果: いいえ
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.
提案された結果: いいえ
異議申し立てなし
最終結果: いいえ
Current short-term forecasts from regional models and Panama's ETESA service point to a daily maximum near 33–34°C in Panama City on July 16, reflecting typical wet-season conditions with strong solar heating, high humidity, and afternoon convective clouds that can cap or slightly suppress peaks. Traders assign the highest probabilities to these outcomes because historical July averages hover around 30–31°C, while 2026 monthly guidance has shown occasional excursions into the mid-30s when trade winds weaken and sea-surface temperatures remain elevated. Differentiation between 32°C and 35°C hinges on precise timing of cloud development, boundary-layer moisture, and any localized sea-breeze effects, with model runs diverging on whether convection initiates before or after the daily high is reached. Updated guidance expected overnight will likely refine these probabilities ahead of resolution.
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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