This market will resolve to the temperature range that contains the highest temperature recorded by NOAA at the Sao Paulo-Guarulhos International Airport Station in degrees Celsius on 6 Sep '26. 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=sbgr If NOAA data for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source. In the event that there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket. To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C. This market will resolve once the first data point for the following date has been published on the resolution source, or by 11:59 PM ET on the day following the observation date, whichever comes first. 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 for São Paulo on September 6 point to a cool, rainy day driven by southerly winds and an incoming air mass, keeping maximum temperatures well below the early-September average of 23–25°C. Official and ensemble model guidance from sources like INMET and global numerical weather prediction runs cluster daytime highs in the 13–17°C range amid persistent cloud cover, light rain, and elevated humidity, with the precise peak hinging on the timing and intensity of showers. This uncertainty narrows trader focus to 15°C and 16°C as the most probable outcomes, reflecting subtle differences in how models resolve boundary-layer warming versus precipitation cooling. Historical variability in spring transitions supports the close spread, while any last-minute model update before resolution could shift the implied probabilities.