Trader consensus clusters tightly around 30–32°C for Manila’s July 24 high, reflecting substantial short-range forecast uncertainty driven by the southwest monsoon. Variable cloud cover, rainfall timing, and southwesterly flow strength—key controls on surface heating and evaporative cooling—produce divergent model outputs for solar insolation and boundary-layer moisture. PAGASA climatology places late-July means near 31°C, yet daily deviations hinge on monsoon trough position and any passing tropical disturbances. Updated global and regional model runs expected over the next 48 hours will likely narrow the distribution as observational data constrain precipitation and wind forecasts.
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 24?
30°C 100.0%
25°C or below <1%
26°C <1%
27°C <1%
$42,241 Vol.
$42,241 Vol.
25°C or below
No
26°C
No
27°C
No
28°C
No
29°C
No
30°C
Yes
31°C
No
32°C
No
33°C
No
34°C
No
35°C or higher
No
30°C 100.0%
25°C or below <1%
26°C <1%
27°C <1%
$42,241 Vol.
$42,241 Vol.
25°C or below
No
26°C
No
27°C
No
28°C
No
29°C
No
30°C
Yes
31°C
No
32°C
No
33°C
No
34°C
No
35°C or higher
No
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 22, 2026, 12:04 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/ph/manila/RPLLResolver
0x69c47De9D...Hasil diajukan: No
Tidak ada sengketa
Hasil akhir: No
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...Hasil diajukan: No
Tidak ada sengketa
Hasil akhir: No
Trader consensus clusters tightly around 30–32°C for Manila’s July 24 high, reflecting substantial short-range forecast uncertainty driven by the southwest monsoon. Variable cloud cover, rainfall timing, and southwesterly flow strength—key controls on surface heating and evaporative cooling—produce divergent model outputs for solar insolation and boundary-layer moisture. PAGASA climatology places late-July means near 31°C, yet daily deviations hinge on monsoon trough position and any passing tropical disturbances. Updated global and regional model runs expected over the next 48 hours will likely narrow the distribution as observational data constrain precipitation and wind forecasts.
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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