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The North American Mesoscale Model ( NAM) is a numerical weather prediction model run by National Centers for Environmental Prediction for short-term weather forecasting. Currently, the Weather Research and Forecasting Non-hydrostatic Mesoscale Model (WRF-NMM) model system serves as the dynamical core of the NAM model.
Time period is from 0000 UTC 22 August 2005 to 0000 UTC 24 August 2005. The Weather Research and Forecasting ( WRF) Model [1] ( / ˈwɔːrf /) is a numerical weather prediction (NWP) system designed to serve both atmospheric research and operational forecasting needs. NWP refers to the simulation and prediction of the atmosphere with a computer ...
Nested association mapping ( NAM) is a technique designed by the labs of Edward Buckler, James Holland, and Michael McMullen for identifying and dissecting the genetic architecture of complex traits in corn ( Zea mays ). It is important to note that nested association mapping (unlike association mapping) is a specific technique that cannot be ...
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 ...
Global Forecast System. An example of a forecast product from the GFS, in this case a 96-hour forecast of 850 mb geopotential height and temperature. The Global Forecast System ( GFS) is a global numerical weather prediction system containing a global computer model and variational analysis run by the United States' National Weather Service (NWS).
As such, the idea of numerical weather prediction is to sample the state of the fluid at a given time and use the equations of fluid dynamics and thermodynamics to estimate the state of the fluid at some time in the future. The process of entering observation data into the model to generate initial conditions is called initialization.
GRIB ( GRIdded Binary or General Regularly-distributed Information in Binary form [1]) is a concise data format commonly used in meteorology to store historical and forecast weather data. It is standardized by the World Meteorological Organization 's Commission for Basic Systems, known under number GRIB FM 92-IX, described in WMO Manual on ...
Model output statistics. In weather forecasting, model output statistics ( MOS) is a multiple linear regression technique in which predictands, often near-surface quantities (such as two-meter-above-ground-level air temperature, horizontal visibility, and wind direction, speed and gusts ), are related statistically to one or more predictors.