The National Weather Service calls the information that ground observers collect "Ground Truthing".
"Even though we the National Weather Service have various types of equipment such as radar and satellite pictures, there's nothing more important than ground truth information".
In the 1900s, weather forecasting relied on observations of atmospheric conditions, such as temperature, pressure, and wind direction, collected from ground-based weather stations, ships, and early weather balloons. Meteorologists also began integrating data from radar and satellite technologies in the mid-20th century to improve forecasting accuracy. Computer technology played a pivotal role in advancing weather forecasting capabilities during this time as well.
For measuring atmospheric pressure which is used in weather forecasting.
An anemometer is used for weather forecasting by meteorologists.
To measure wind speed
thermometer
To determine wind speed by whatever device is used.
Some weather forecasting tools include satellites for monitoring cloud patterns, radar for tracking precipitation, weather balloons for gathering data in the atmosphere, and computer models that simulate and predict weather patterns based on current conditions.
Cause it does the same thing an anemometer does?
Before the barometer, weather forecasting was often done using qualitative observations such as cloud formations, wind direction, and changes in air pressure sensed by the body. These qualitative methods proved to be unreliable and inconsistent. The invention of the barometer in the 17th century revolutionized weather forecasting by providing a quantitative measure of air pressure.
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Human-based observations in meteorology refer to data collected by individuals rather than automated instruments. These can include reports from weather spotters, citizen scientists, or amateur meteorologists who provide information on local conditions, such as temperature, precipitation, wind direction, and severe weather events. Such observations can enhance weather forecasting and contribute to a better understanding of local climate patterns, particularly in areas lacking sophisticated monitoring equipment. They are often used in conjunction with automated data for more comprehensive weather analysis.
One technology that is not commonly used in weather forecasting today is analog forecasting, which relies on comparing current weather patterns to historical data to predict future conditions. While it has historical significance, modern forecasting primarily relies on numerical weather prediction models and satellite data for greater accuracy. The use of analog methods has diminished due to advancements in computational power and data analysis techniques.