Search results
Results from the Health.Zone Content Network
Research has been growing significantly since the 2010s, and weather-drone data may in future be added to numerical weather models. Modern weather predictions aid in timely evacuations and potentially save lives and prevent property damage. Commerce provides pilot reports along aircraft routes, and ship reports along shipping routes.
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.
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).
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 model, and WRF is a set of software for this.
The Climate Forecast System or coupled forecast system ( CFS) is a medium to long range numerical weather prediction and a climate model run by the National Centers for Environmental Prediction (NCEP) to bridge weather and climate timescales. [1] Version 2 became operational as CFSv2 in 2011.
Atmospheric reanalysis. An atmospheric reanalysis (also: meteorological reanalysis and climate reanalysis) is a meteorological and climate data assimilation project which aims to assimilate historical atmospheric observational data spanning an extended period, using a single consistent assimilation (or "analysis") scheme throughout.
Assimilation of this data is used to produce an initial state of a computer model of the atmosphere, from which an atmospheric model is used to forecast the weather. These forecasts are typically: medium-range forecasts, predicting the weather up to 15 days ahead; monthly forecasts, predicting the weather on a weekly basis 30 days ahead
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.