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 Chaudhary Charan Singh Intl Airport Station in degrees Celsius on 22 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 Chaudhary Charan Singh Intl Airport Station, available here: https://www.wunderground.com/history/daily/in/lucknow/VILK. 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.
Persistent monsoon conditions across Uttar Pradesh, including widespread cloud cover, high humidity near 80-90%, and frequent thunderstorms, are suppressing maximum temperatures in Lucknow on August 22. Official forecasts from the India Meteorological Department and global models indicate a likely high of 30-33°C, with rain and reduced solar insolation preventing stronger afternoon heating typical of drier periods. This aligns with the market's heavy weighting toward 30°C (49.5%) and 31°C (37.0%), as traders incorporate real-time observations of light-to-moderate rainfall and limited daytime warming. Updated model runs and ongoing rain alerts reinforce expectations that the peak will fall below seasonal dry-day averages.