Specific daily forecasts, such as those targeting a particular date like the fourteenth of January, provide highly localized and time-sensitive information regarding atmospheric conditions. These predictions typically include temperature highs and lows, precipitation probability, humidity, wind speed and direction, and other relevant meteorological data. An example would be a forecast predicting a high of 35F and a low of 20F with a 30% chance of snow on this date for a specific geographic location.
Access to this granular level of meteorological detail is crucial for a variety of purposes. Planning outdoor activities, making travel arrangements, and preparing for potential weather-related disruptions all benefit from accurate short-term forecasts. Historically, the ability to predict conditions for a specific date has improved dramatically with advances in meteorological science and technology. This enhanced predictive capability offers significant societal and economic advantages, from mitigating the impact of severe weather events to optimizing agricultural practices.