Evaluations of numerical weather prediction (NWP) models from the point of view of inputs required by atmospheric dispersion models

2000 ◽  
Vol 14 (1/2/3/4/5/6) ◽  
pp. 98 ◽  
Author(s):  
Steven R. Hanna ◽  
Ruixin Yang ◽  
Xiangtao Yin
Keyword(s):  
Numerical Weather Prediction ◽  
Weather Prediction ◽  
Atmospheric Dispersion ◽  
Point Of View ◽  
Dispersion Models ◽  
Numerical Weather ◽  
Atmospheric Dispersion Models

scholarly journals Parameterizing Unresolved Mesoscale Motions in Atmospheric Dispersion Models

2018 ◽  
Vol 57 (3) ◽  
pp. 645-657 ◽  
Author(s):  
Helen N. Webster ◽  
Thomas Whitehead ◽  
David J. Thomson
Keyword(s):  
Time Scales ◽  
Meteorological Data ◽  
Weather Prediction ◽  
Strong Dependence ◽  
Atmospheric Dispersion ◽  
Three Dimensional ◽  
Dispersion Models ◽  
Atmospheric Dispersion Models ◽  
Velocity Variances ◽  
Nwp Model

AbstractIn atmospheric dispersion models driven by meteorological data from numerical weather prediction (NWP) models, it is necessary to include a parameterization for plume spread that is due to unresolved mesoscale motions. These are motions that are not resolved by the input NWP data but are larger in size than the three-dimensional turbulent motions represented by turbulence parameterizations. Neglecting the effect of these quasi-two-dimensional unresolved mesoscale motions has been shown to lead to underprediction of plume spread and overprediction of concentrations within the plume. NWP modeling is conducted at a range of resolutions that resolve different scales of motion. This suggests that any parameterization of unresolved mesoscale motions should depend on the resolution of the input NWP data. Spectral analysis of NWP data and wind observations is used to assess the mesoscale motions unresolved by the NWP model. Appropriate velocity variances and Lagrangian time scales for these motions are found by calculating the missing variance in the energy spectra and analyzing correlation functions. A strong dependence on the resolution of the NWP data is seen, resulting in larger velocity variances and Lagrangian time scales from the lower-resolution models. A parameterization of unresolved mesoscale motions on the basis of the NWP resolution is proposed.

Review on the Application of Numerical Weather Prediction in the Simulation Research of Atmospheric Dispersion

2014 ◽  
Vol 953-954 ◽  
pp. 428-431
Author(s):  
Bo Wang ◽  
Chun Ming Zhang ◽  
Fu Dong Liu ◽  
Yang Yang ◽  
Liang Wang ◽  
...  
Keyword(s):  
High Resolution ◽  
Numerical Weather Prediction ◽  
Wind Field ◽  
Weather Prediction ◽  
Atmospheric Dispersion ◽  
Widespread Application ◽  
Simulation Research ◽  
Numerical Weather ◽  
Forecasting System ◽  
Prediction Systems

The spatial and temporal variations of wind field and the atmospheric turbulence characteristics are important factors that affect the migration and dispersion of local atmospheric pollutants. Since the numerical meteorological forecasting system with high resolution is the foundation of atmospheric dispersion simulation, more and more attention has been drawn to the application of numerical weather prediction systems in wind field prediction and atmospheric simulation. This paper reviewed the widespread application of numerical weather prediction systems in wind field prediction and atmospheric simulation with the focus on the mesoscale weather forecasting system with high resolution, for instance WRF and MM5, as well as the requirement for numerical weather prediction in the simulation research of wind field prediction and atmospheric dispersion.

Sign in / Sign up

Export Citation Format

Share Document