Persistent rainfall and extensive cloud cover from active monsoon patterns and nearby tropical influences are suppressing peak daytime heating in Guangzhou, producing model consensus for a maximum temperature of 31–33 °C on August 24. Official forecasts from Chinese meteorological sources and international agencies consistently show widespread showers or thunderstorms that reduce solar insolation and enhance evaporative cooling, keeping readings below the seasonal average high of ~33 °C. Minor differences among 32 °C, 33 °C, and 34 °C outcomes hinge on the precise timing and intensity of convective bursts versus any brief clearing periods, with current ensemble spreads reflecting this inherent short-range uncertainty. Traders are weighting recent model runs and real-time observations heavily as the date approaches.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado¿La temperatura más alta en Guangzhou el 24 de agosto?
33°C 30%
32°C 23%
35°C o superior 21%
34°C 20%
25°C o menos
1%
26°C
1%
27°C
1%
28°C
1%
29°C
6%
30°C
9%
31°C
13%
32°C
23%
33°C
27%
34°C
27%
35°C o superior
21%
33°C 30%
32°C 23%
35°C o superior 21%
34°C 20%
25°C o menos
1%
26°C
1%
27°C
1%
28°C
1%
29°C
6%
30°C
9%
31°C
13%
32°C
23%
33°C
27%
34°C
27%
35°C o superior
21%
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=zggg
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °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.
Mercado abierto: Aug 22, 2026, 12:57 AM ET
Fuente de resolución
https://www.weather.gov/wrh/timeseries?site=zgggResolver
0x69c47De9D...The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=zggg
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °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.
Fuente de resolución
https://www.weather.gov/wrh/timeseries?site=zgggResolver
0x69c47De9D...Persistent rainfall and extensive cloud cover from active monsoon patterns and nearby tropical influences are suppressing peak daytime heating in Guangzhou, producing model consensus for a maximum temperature of 31–33 °C on August 24. Official forecasts from Chinese meteorological sources and international agencies consistently show widespread showers or thunderstorms that reduce solar insolation and enhance evaporative cooling, keeping readings below the seasonal average high of ~33 °C. Minor differences among 32 °C, 33 °C, and 34 °C outcomes hinge on the precise timing and intensity of convective bursts versus any brief clearing periods, with current ensemble spreads reflecting this inherent short-range uncertainty. Traders are weighting recent model runs and real-time observations heavily as the date approaches.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
Cuidado con los enlaces externos.
Cuidado con los enlaces externos.
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