Evaluation of the Equilibrium, Dynamic, and Hybrid Aerosol Modeling Approaches in a One-Dimensional Lagrangian Trajectory Model

2002 ◽  
pp. 289-297
Author(s):  
Bonyoung Koo ◽  
Spyros N. Pandis
Keyword(s):  
One Dimensional ◽  
Equilibrium Dynamic ◽  
Trajectory Model ◽  
Lagrangian Trajectory ◽  
Modeling Approaches ◽  
Aerosol Modeling

Evaluation of the Equilibrium, Dynamic, and Hybrid Aerosol Modeling Approaches

2003 ◽  
Vol 37 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Bonyoung Koo ◽  
Timothy M. Gaydos ◽  
Spyros N. Pandis
Keyword(s):  
Equilibrium Dynamic ◽  
Modeling Approaches ◽  
Aerosol Modeling

Modeling and Simulation of Trajectory Correction Projectile

2012 ◽  
Vol 263-266 ◽  
pp. 813-816
Author(s):  
Xin Sun ◽  
Hai Jun Zhang
Keyword(s):  
Modeling And Simulation ◽  
Lateral Displacement ◽  
Two Dimensional ◽  
One Dimensional ◽  
Trajectory Model ◽  
Control Signals ◽  
Direction Control ◽  
Trajectory Correction

Established and simulated a two-dimensional amendment trajectory model for mortar. Theoretical researching and simulation show that using canard control to correct trajectory, we can change the size and direction control by adjusting the control signals. Not only can we correct one-dimensional trajectory, but also correct two-dimensional trajectory which concluding projectile range and lateral displacement, improving shooting accuracy.

scholarly journals TRACMASS—A Lagrangian Trajectory Model

2013 ◽  
pp. 225-249 ◽  
Author(s):  
Kristofer Döös ◽  
Joakim Kjellsson ◽  
Bror Jönsson
Keyword(s):  
Trajectory Model ◽  
Lagrangian Trajectory

SEMI-CLASSICAL INELASTIC S-MATRIX FOR ONE-DIMENSIONAL N-STATES SYSTEMS

1995 ◽  
Vol 07 (02) ◽  
pp. 193-242 ◽  
Author(s):  
PH.A. MARTIN ◽  
G. NENCIU
Keyword(s):  
Evolution Model ◽  
Controlled Study ◽  
One Dimensional ◽  
Trajectory Model ◽  
Transmission Coefficients ◽  
High Energies ◽  
S Matrix ◽  
The Cross

A mathematically fully controlled study of the semi-classical S-matrix associated with one-dimensional N-states systems is presented for energies above the barriers. The transmission coefficients are described by an “effective evolution” model which at high energies approaches the usual “common trajectory” model. In the two-states case a refined Landau-Zener formula describing the cross-over regime between avoided and real crossings is obtained.

scholarly journals Spatial and Temporal Extrapolation of Disdrometer Size Distributions Based on a Lagrangian Trajectory Model of Falling Rain

2009 ◽  
Vol 3 (1) ◽  
pp. 172-186 ◽  
Author(s):  
John E. Lane ◽  
Takis Kasparis ◽  
Philip T. Metzger ◽  
W. Linwood Jones
Keyword(s):  
Wind Field ◽  
Initial Conditions ◽  
Time Interval ◽  
Air Velocity ◽  
Trajectory Model ◽  
Lagrangian Trajectory ◽  
Scan Time ◽  
Mathematical Techniques ◽  
Radial Velocity Data ◽  
Lagrangian Trajectory Simulation

Methodologies to improve disdrometer processing, loosely based on mathematical techniques common to the field of particle flow and fluid mechanics, are examined and tested. The inclusion of advection and vertical wind field estimates appears to produce significantly improved results in a Lagrangian hydrometeor trajectory model, in spite of very strict assumptions of noninteracting hydrometeors, constant vertical air velocity, and time independent advection during a radar scan time interval. Wind field data can be extracted from each radar elevation scan by plotting and analyzing reflectivity contours over the disdrometer site and by collecting the radar radial velocity data to obtain estimates of advection. Specific regions of disdrometer spectra (drop size versus time) often exhibit strong gravitational sorting signatures, from which estimates of vertical velocity can be extracted. These independent wind field estimates can be used as initial conditions to the Lagrangian trajectory simulation of falling hydrometeors.

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