january

Specific date queries, such as requesting meteorological data for a particular day like the nineteenth of January, represent a precise information request. This typically involves seeking historical weather observations or forecasting future conditions for that date. An example would be retrieving the high temperature, low temperature, precipitation, wind speed, and other relevant atmospheric conditions for a past or future January nineteenth. The specificity of the date implies a need for granular data tied to a particular moment in time.

Accessing historical meteorological information for a specific date offers valuable insights for various applications. In agriculture, this data informs planting schedules and pest management strategies. For event planning, understanding typical weather patterns helps in risk assessment and logistical preparation. Energy sector forecasting relies on historical data to predict energy demands and optimize resource allocation. Additionally, climate research leverages such detailed data to track long-term trends and analyze climate change impacts. The ability to pinpoint meteorological conditions for a particular day is essential for informed decision-making across diverse sectors.

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Predicting specific weather conditions for a date as far out as January 2025 with complete accuracy is not currently possible. Weather forecasting relies on complex models and historical data, and while these tools can provide general climate expectations for a given location and time of year, pinpoint precision diminishes significantly with time. Typical January conditions in the Las Vegas Valley involve average high temperatures in the mid-50s Fahrenheit (low 10s Celsius) and average lows in the upper 30s Fahrenheit (around 3-4 degrees Celsius). Precipitation is generally low, averaging less than half an inch for the entire month, primarily in the form of rain. Occasional colder snaps can bring freezing temperatures, particularly overnight.

Understanding the typical climate of a region during a particular month is valuable for numerous purposes. Travelers can plan appropriate attire and activities. Businesses dependent on weather, such as outdoor venues or construction companies, can make informed decisions. Long-term climate information, while not a precise forecast, can be integrated into larger urban planning and resource management strategies. Historical weather data for January in Las Vegas reveals variations in temperatures and precipitation from year to year, highlighting the inherent challenges in specific long-range forecasting. It underscores the importance of relying on climatological averages when making plans well in advance.

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January in Connecticut typically brings cold temperatures, often fluctuating between the 20s and 30s Fahrenheit. Snowfall is common, with accumulations varying across the state. Coastal areas tend to experience slightly milder temperatures and less snow than inland regions, which can see more significant snowfall and colder conditions. Icy conditions are also prevalent due to freezing rain and sleet. The state experiences shorter daylight hours during this month.

Understanding Connecticut’s typical January climate is crucial for residents and visitors alike. Preparation for potential snowstorms, icy roads, and frigid temperatures is essential for safety and daily life. Factors such as home heating, appropriate clothing, and travel considerations become paramount during this period. Historical weather data reveals patterns of snowfall and temperature fluctuations, allowing for better prediction and preparedness. This information is valuable for industries such as transportation, agriculture, and emergency services.

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