Traders assign near-certainty to a 23°C high in São Paulo on July 31 because official Instituto Nacional de Meteorologia station readings and National Institute of Meteorology-verified maxima aligned precisely on that value, with minimal model spread in post-event reanalysis. July climatology for the region shows typical winter highs near 22–24°C under stable subtropical high pressure, and no significant warm advection or urban heat island anomalies altered the outcome. Resolution hinges on the single highest recorded temperature at the designated reference station, leaving little room for revision unless a data-quality audit or secondary station discrepancy emerges in final reporting.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Sao Paulo on July 31?
23°C 100.0%
17°C or below <1%
18°C <1%
19°C <1%
$44,347 Vol.
$44,347 Vol.
17°C or below
<1%
18°C
<1%
19°C
<1%
20°C
<1%
21°C
<1%
22°C
<1%
23°C
100%
24°C
<1%
25°C
<1%
26°C
<1%
27°C or higher
<1%
23°C 100.0%
17°C or below <1%
18°C <1%
19°C <1%
$44,347 Vol.
$44,347 Vol.
17°C or below
<1%
18°C
<1%
19°C
<1%
20°C
<1%
21°C
<1%
22°C
<1%
23°C
100%
24°C
<1%
25°C
<1%
26°C
<1%
27°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 Sao Paulo-Guarulhos International Airport Station, available here: https://www.wunderground.com/history/daily/br/guarulhos/SBGR.
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 29, 2026, 10:02 PM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/br/guarulhos/SBGRResolver
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 Sao Paulo-Guarulhos International Airport Station, available here: https://www.wunderground.com/history/daily/br/guarulhos/SBGR.
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/br/guarulhos/SBGRResolver
0x69c47De9D...Traders assign near-certainty to a 23°C high in São Paulo on July 31 because official Instituto Nacional de Meteorologia station readings and National Institute of Meteorology-verified maxima aligned precisely on that value, with minimal model spread in post-event reanalysis. July climatology for the region shows typical winter highs near 22–24°C under stable subtropical high pressure, and no significant warm advection or urban heat island anomalies altered the outcome. Resolution hinges on the single highest recorded temperature at the designated reference station, leaving little room for revision unless a data-quality audit or secondary station discrepancy emerges in final reporting.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui


Hati-hati dengan link eksternal.
Hati-hati dengan link eksternal.
Pertanyaan yang Sering Diajukan