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Lemon technique. The Lemon technique is a method used by meteorologists using weather radar to determine the relative strength of thunderstorm cells in a vertically sheared environment. It is named for Leslie R. Lemon, the co-creator of the current conceptual model of a supercell. [1] The Lemon technique is largely a continuation of work by ...
Numerical weather prediction (NWP) uses mathematical models of the atmosphere and oceans to predict the weather based on current weather conditions. Though first attempted in the 1920s, it was not until the advent of computer simulation in the 1950s that numerical weather predictions produced realistic results.
The Global Environmental Multiscale Model (GEM), often known as the CMC model in North America, is an integrated forecasting and data assimilation system developed in the Recherche en Prévision Numérique (RPN), Meteorological Research Branch (MRB), and the Canadian Meteorological Centre (CMC). Along with the NWS 's Global Forecast System (GFS ...
History of numerical weather prediction. The difference between the forecast and the actual weather outcome for forecasts 3, 5, 7, and 10 days in advance. The history of numerical weather prediction considers how current weather conditions as input into mathematical models of the atmosphere and oceans to predict the weather and future sea state ...
College of DuPage is a public community college with its main campus in Glen Ellyn, Illinois. [3] The college also owns and operates satellite campuses in Addison, Carol Stream, Naperville and Westmont. [4][5] With more than 20,000 students, the College of DuPage is the second largest provider of undergraduate education in Illinois, after ...
WSR-74. WSR-74C radar from Central Illinois WFO. WSR-74 radars were W eather S urveillance R adars designed in 1974 for the National Weather Service. They were added to the existing network of the WSR-57 model to improve forecasts and severe weather warnings. Some have been sold to other countries like Australia, Greece, and Pakistan.
Model for Prediction Across Scales. The Model for Prediction Across Scales (MPAS) is an Earth system modeling software that integrates atmospheric, oceanographic, and cryospheric modeling across scales from regional to planetary. It includes climate and weather modeling and simulations that were used initially by researchers in 2013. [1]
Forecast verification. Forecast verification is a subfield of the climate, atmospheric and ocean sciences dealing with validating, verifying and determining the predictive power of prognostic model forecasts. Because of the complexity of these models, forecast verification goes a good deal beyond simple measures of statistical association or ...