This market will resolve based on the highest temperature recorded in the 'Daily Observations' table on Weather Underground, not the figure displayed in the 'Day High & Low' summary section; in the event of any discrepancy between the two, the Daily Observations table shall be the primary resolution source not the Day High & Low section. This market will resolve to the temperature range that contains the highest temperature recorded at the Guangzhou Baiyun International Airport Station in degrees Celsius on 16 Aug '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Guangzhou Baiyun International Airport Station, available here: https://www.wunderground.com/history/daily/cn/guangzhou/ZGGG. 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.
Recent forecasts from meteorological services indicate highs near 35°C in Guangzhou on August 16, driven by typical subtropical summer conditions with high humidity, weak steering winds, and scattered thunderstorms that limit peak heating through cloud cover and evaporative cooling. This aligns with the market-implied 45.5% probability for 36°C and 22% for 35°C as leading outcomes, consistent with August climatology where daily maxima average 32–34°C but can reach the mid-30s under partly cloudy patterns. Model consensus shows modest variability from convective activity, with any clearer skies potentially pushing readings higher while widespread showers would favor the lower end of the distribution.