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Quantitative precipitation estimation or QPE is a method of approximating the amount of precipitation that has fallen at a location or across a region. Maps of the estimated amount of precipitation to have fallen over a certain area and time span are compiled using several different data sources including manual and automatic field observations ...
Estimated Precipitation – map-based product detailing estimated precipitation amounts reported around the region since 7:00 a.m. ET Precipitation Forecast – map-based forecast of expected precipitation amounts (of .01 inches (0.25 mm) or greater) around the region over the next 12 hours
The quantitative precipitation forecast (abbreviated QPF) is the expected amount of melted precipitation accumulated over a specified time period over a specified area. [1] A QPF will be created when precipitation amounts reaching a minimum threshold are expected during the forecast's valid period.
A surface weather analysis for the United States on October 21, 2006. By that time, Tropical Storm Paul was active (Paul later became a hurricane). Surface weather analysis is a special type of weather map that provides a view of weather elements over a geographical area at a specified time based on information from ground-based weather stations.
NSSL created a powerful research and development tool for the creation of new techniques, strategies and applications to better estimate and forecast precipitation amounts, locations and types. The National Mosaic and Multi-sensor Quantitative Precipitation Estimation system (NMQ) uses a combination of observing systems ranging from radars to ...
A series of graphics depicting how climate change will affect our planet Medicaid Expansion Helping Where It’s Allowed To An interactive map showing where uninsured rates remain disproportionately high
The DPR is a spaceborne radar, providing three-dimensional maps of storm structure across its swath, including the intensity of rainfall and snowfall at the surface. The DPR has two frequencies, allowing researchers to estimate the sizes of precipitation particles and detect a wider range of precipitation rates.
Forecasts based on temperature and precipitation are important to agriculture, and therefore to traders within commodity markets. Temperature forecasts are used by utility companies to estimate demand over coming days. On an everyday basis, many people use weather forecasts to determine what to wear on a given day.