Jump to main content
US EPA
United States Environmental Protection Agency
Search
Search
Main menu
Environmental Topics
Laws & Regulations
About EPA
Health & Environmental Research Online (HERO)
Contact Us
Print
Feedback
Export to File
Search:
This record has one attached file:
Add More Files
Attach File(s):
Display Name for File*:
Save
Citation
Tags
HERO ID
3259238
Reference Type
Journal Article
Title
Evaluation and validation of a CFD solver adapted to atmospheric flows: Simulation of topography-induced waves
Author(s)
Racz, N; Kristof, G; Weidinger, T
Year
2013
Is Peer Reviewed?
Yes
Journal
Idojaras (Budapest, 1905)
ISSN:
0324-6329
Volume
117
Issue
3
Page Numbers
239-275
Web of Science Id
WOS:000324776800001
Abstract
Mountain wave phenomena have been simulated by using a
well-known general purpose computational fluid dynamic (CFD) simulation system adapted to
atmospheric flow modeling. Mesoscale effects have been taken into account with a novel approach
based on a system of transformations and customized volume sources acting in the conservation and
governing equations. Simulations of linear hydrostatic wave fields generated by a two-dimensional
obstacle were carried out, and the resulting vertical velocity fields were compared against the
corresponding analytic solution. Validation with laboratory experiments and full-scale
atmospheric flows is a very important step toward the practical application of the method.
Performance measures showed good correspondence with measured data concerning flow structures and
wave pattern characteristics of non-hydrostatic and nonlinear mountain waves in low Reynolds
number flows. For highly nonlinear atmospheric scale conditions, we reproduced the well-
documented downslope windstorm at Boulder in January 1972, during which extreme weather
conditions, with a wind speed of approximately 60 m s(-1), were measured close to the ground. The
existence of the hydraulic jump, the strong descent of the stratospheric air, wave breaking
regions, and the highly accelerated downslope wind were well reproduced by the model. Evaluation
based on normalized mean square error (NMSE), fractional bias (FB), and predictions within a
factor of two of observations (FAC2) show good model performance, however, due to the horizontal
shift in the flow pattern, a less satisfactory hit rate and correlation value can be observed.
Keywords
complex terrain; gravity waves; CFD simulation; model validation; numerical weather prediction
Home
Learn about HERO
Using HERO
Search HERO
Projects in HERO
Risk Assessment
Transparency & Integrity