Current numerical weather models for Taipei on July 1 project daytime highs clustered around 33–35°C, aligning with the market’s near-even odds across those bins. Subtropical high pressure and the East Asian summer monsoon maintain warm, humid conditions, while afternoon sea breezes and potential thundershowers—common in early July—can cap peak temperatures through evaporative cooling or allow brief clearing that boosts readings. Forecast spread stems mainly from uncertainty in convective timing and any weak frontal passage; a few hours’ difference in rainfall onset can shift the daily maximum by 1–2°C. Historical July averages near 32–34°C and recent above-normal warmth provide context, but short-range model runs remain the dominant driver of trader consensus.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Taipei on July 1?
35°C 26%
36°C 22%
33°C 21%
34°C 21%
29°C or below
2%
30°C
2%
31°C
7%
32°C
8%
33°C
21%
34°C
21%
35°C
26%
36°C
22%
37°C
8%
38°C
5%
39°C or higher
3%
35°C 26%
36°C 22%
33°C 21%
34°C 21%
29°C or below
2%
30°C
2%
31°C
7%
32°C
8%
33°C
21%
34°C
21%
35°C
26%
36°C
22%
37°C
8%
38°C
5%
39°C or higher
3%
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Taipei Songshan Airport Station, available here: https://www.wunderground.com/history/daily/tw/taipei/RCSS.
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: Jun 29, 2026, 12:02 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/tw/taipei/RCSSResolver
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 Taipei Songshan Airport Station, available here: https://www.wunderground.com/history/daily/tw/taipei/RCSS.
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/tw/taipei/RCSSResolver
0x69c47De9D...Current numerical weather models for Taipei on July 1 project daytime highs clustered around 33–35°C, aligning with the market’s near-even odds across those bins. Subtropical high pressure and the East Asian summer monsoon maintain warm, humid conditions, while afternoon sea breezes and potential thundershowers—common in early July—can cap peak temperatures through evaporative cooling or allow brief clearing that boosts readings. Forecast spread stems mainly from uncertainty in convective timing and any weak frontal passage; a few hours’ difference in rainfall onset can shift the daily maximum by 1–2°C. Historical July averages near 32–34°C and recent above-normal warmth provide context, but short-range model runs remain the dominant driver of trader consensus.
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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