**Monsoon-driven cloud cover and scattered showers represent the dominant near-term influence on Manila's July 9 maximum temperature.** PAGASA outlooks for Metro Manila indicate highs near 31°C with 40–60% rain probability under the southwest monsoon (habagat), consistent with July climatology of daytime peaks averaging 31°C amid high humidity. These conditions limit solar insolation and promote evaporative cooling, favoring the market's leading 32°C (24.5%) and 33°C (21.5%) outcomes over hotter thresholds. Model consensus shows limited potential for brief clearing that could push readings to 34°C or above, while urban heat-island effects are offset by frequent convection typical of the wet season. Updated PAGASA and global model runs through the weekend will provide the next key data points for refining probabilities ahead of resolution.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Manila on July 9?
33°C 36%
32°C 29%
34°C 18%
31°C 8%
26°C or below
<1%
27°C
<1%
28°C
<1%
29°C
3%
30°C
4%
31°C
8%
32°C
29%
33°C
36%
34°C
18%
35°C
4%
36°C or higher
<1%
33°C 36%
32°C 29%
34°C 18%
31°C 8%
26°C or below
<1%
27°C
<1%
28°C
<1%
29°C
3%
30°C
4%
31°C
8%
32°C
29%
33°C
36%
34°C
18%
35°C
4%
36°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 Ninoy Aquino International Airport Station, available here: https://www.wunderground.com/history/daily/ph/manila/RPLL.
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.
Pasar Dibuka: Jul 7, 2026, 12:03 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/ph/manila/RPLLResolver
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 Ninoy Aquino International Airport Station, available here: https://www.wunderground.com/history/daily/ph/manila/RPLL.
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.
Sumber Resolusi
https://www.wunderground.com/history/daily/ph/manila/RPLLResolver
0x69c47De9D...**Monsoon-driven cloud cover and scattered showers represent the dominant near-term influence on Manila's July 9 maximum temperature.** PAGASA outlooks for Metro Manila indicate highs near 31°C with 40–60% rain probability under the southwest monsoon (habagat), consistent with July climatology of daytime peaks averaging 31°C amid high humidity. These conditions limit solar insolation and promote evaporative cooling, favoring the market's leading 32°C (24.5%) and 33°C (21.5%) outcomes over hotter thresholds. Model consensus shows limited potential for brief clearing that could push readings to 34°C or above, while urban heat-island effects are offset by frequent convection typical of the wet season. Updated PAGASA and global model runs through the weekend will provide the next key data points for refining probabilities ahead of resolution.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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