This market will resolve to the temperature range that contains the highest temperature recorded by NOAA at the San Francisco International Airport Station in degrees Fahrenheit on 8 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=ksfo This market will resolve off of the Hourly Data provided using the "Show Hourly Data" button. 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 US Units w/ kts" button until the relevant table displays °F. 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 Fahrenheit (eg, 21°F). 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.
Latest National Weather Service and model guidance indicate a high near 78°F for San Francisco on September 8 under partly cloudy skies with southwest winds, above the early-September average of about 71°F. Trader emphasis on 82–83°F outcomes reflects uncertainty in marine layer depth and onshore flow strength, which can suppress or allow afternoon warming depending on cloud cover and timing. Key variables include fog intrusion timing, wind shifts, and local microclimate differences across the city. Short-term model runs often diverge on these factors, and new observational data or updated forecasts could readily shift probabilities before resolution.