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t. e. Weather forecasting is the application of science and technology to predict the conditions of the atmosphere for a given location and time. People have attempted to predict the weather informally for millennia and formally since the 19th century.
Probability of precipitation. Probability of precipitation (PoP) is a commonly used term referring to the likelihood of precipitation falling in a particular area over a defined period of time, which is commonly a day, half day, or hour. The PoP measure is meaningless unless it is associated with an interval of time.
All snow is cleaned from the snowboard once every 6 hours. [ 4 ] [ 5 ] At the end of the snow event, the maximum depths recorded on the snowboard during each 6-hour period are summed to provide the storm total; the same measurements during a single day are summed to produce the daily snowfall total.
The Snow Day Calculator asks users to input their location, how many snow days they've had this school year and what type of school they attend. Snow Day Calculator predicts if schools will close ...
Assisted by Ramesh Gautam, left, Sean de Guzman, chief of snow surveys for the California Department of Water Resources, measures the depth of the snowpack during the second snow survey of the ...
Meteorology is a branch of the atmospheric sciences (which include atmospheric chemistry and physics) with a major focus on weather forecasting. The study of meteorology dates back millennia, though significant progress in meteorology did not begin until the 18th century. The 19th century saw modest progress in the field after weather ...
Snow gauge. A snow gauge is a type of instrument used by meteorologists and hydrologists to gather and measure the amount of solid precipitation (as opposed to liquid precipitation, which is measured by a rain gauge) over a set period of time. [citation needed]
The National Snow and Ice Data Center (NSIDC) uses the reflectance of visible and infrared radiation to calculate a normalized difference snow index, which is a ratio of radiation parameters that can distinguish between clouds and snow. Other researchers have developed decision trees, employing the available data to make more accurate assessments.
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