Comparisons of Crosswind Velocity Profile Estimates Used in Fast-Time Wake Vortex Prediction Models

Five methods for estimating crosswind profiles used in fast-time wake vortex prediction models are compared in this study. Previous investigations have shown that temporal and spatial variations in the crosswind vertical profile have a large impact on the transport and time evolution of the trailing vortex pair. The most important crosswind parameters are the magnitude of the crosswind and the gradient in the crosswind shear. It is known that pulsed and continuous wave lidar measurements can provide good estimates of the wind profile in the vicinity of airports. In this study comparisons are made between estimates of the crosswind profiles from a priori information on the trajectory of the vortex pair as well as crosswind profiles derived from different sensors and a regional numerical weather prediction model.

[1]  Thomas J. Dunn,et al.  A Dynamically Adapting Weather and Dispersion Model: The Operational Multiscale Environment Model with Grid Adaptivity (OMEGA) , 2000 .

[2]  George F. Switzer,et al.  TASS Driven Algorithms for Wake Prediction , 2006 .

[3]  Fred H. Proctor,et al.  Evaluation of Fast-Time Wake Vortex Prediction Models , 2009 .

[4]  Jimy Dudhia,et al.  Conservative Split-Explicit Time Integration Methods for the Compressible Nonhydrostatic Equations , 2007 .

[5]  Lockheed Martin,et al.  Assessment of Pulsed Lidar Measurements of Aircraft Wake Vortex Positions Using a Lidar Simulator , 2010 .

[6]  J. Dudhia.  A Nonhydrostatic Version of the Penn State–NCAR Mesoscale Model: Validation Tests and Simulation of an Atlantic Cyclone and Cold Front , 1993 .

[7]  J. McGinley,et al.  Local data assimilation and analysis for nowcasting , 1992 .

[8]  R. Hodur.  The Naval Research Laboratory’s Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) , 1997 .

[9]  Michael Frech,et al.  Skill of an Aircraft Wake-Vortex Model Using Weather Prediction and Observation , 2008 .

[10]  R. Tibshirani,et al.  Generalized additive models for medical research , 1986, Statistical methods in medical research.

[11]  G. Grell,et al.  Mesoscale Weather Prediction with the RUC Hybrid Isentropic–Terrain-Following Coordinate Model , 2004 .

[12]  Frank Holzäpfel,et al.  Probabilistic Two-Phase Wake Vortex Decay and Transport Model , 2003 .

[13]  Michael T. Kiefer,et al.  Wake Vortex Environment Simulations from a Terminal Area PBL Prediction System (TAPPS) , 2006 .

[14]  Arnold Tafferner,et al.  High-Resolution Weather Database for the Terminal Area of Frankfurt Airport , 2007 .