scholarly journals Hurricane simulation using different representations of atmosphere-ocean interaction: the case of Irene (2011)

2016 ◽  
Vol 17 (7) ◽  
pp. 415-421 ◽  
Author(s):  
P. A. Mooney ◽  
D. O. Gill ◽  
F. J. Mulligan ◽  
C. L. Bruyère
Keyword(s):  
Hurricane Simulation

scholarly journals Lagrangian mixing in an axisymmetric hurricane model

2010 ◽  
Vol 10 (14) ◽  
pp. 6777-6791 ◽  
Author(s):  
B. Rutherford ◽  
G. Dangelmayr ◽  
J. Persing ◽  
M. Kirby ◽  
M. T. Montgomery
Keyword(s):  
Time Dependent ◽  
Relative Dispersion ◽  
Moving Frame ◽  
Initial Time ◽  
Quasi Steady State ◽  
Mixing Rate ◽  
Hurricane Intensity ◽  
Finite Time Lyapunov Exponents ◽  
Mixing Rates ◽  
Hurricane Simulation

Abstract. This paper discusses the extension of established Lagrangian mixing measures to make them applicable to data extracted from a 2-D axisymmetric hurricane simulation. Because of the non-steady and unbounded characteristics of the simulation, the previous measures are extended to a moving frame approach to create time-dependent mixing rates that are dependent upon the initial time of particle integration, and are computed for nonlocal regions. The global measures of mixing derived from finite-time Lyapunov exponents, relative dispersion, and a measured mixing rate are applied to distinct regions representing different characteristic feautures within the model. It is shown that these time-dependent mixing rates exhibit correlations with maximal tangential winds during a quasi-steady state, establishing a connection between mixing and hurricane intensity.

scholarly journals Lagrangian mixing in an axisymmetric hurricane model

2009 ◽  
Vol 9 (5) ◽  
pp. 18545-18596 ◽  
Author(s):  
B. Rutherford ◽  
G. Dangelmayr ◽  
J. Persing ◽  
M. Kirby ◽  
M.T. Montgomery
Keyword(s):  
Time Dependent ◽  
Relative Dispersion ◽  
Moving Frame ◽  
Initial Time ◽  
Quasi Steady State ◽  
Mixing Rate ◽  
Hurricane Intensity ◽  
Finite Time Lyapunov Exponents ◽  
Mixing Rates ◽  
Hurricane Simulation

Abstract. This paper discusses the extension of established Lagrangian mixing measures to make them applicable to data extracted from a 2-D axisymmetric hurricane simulation. Because of the non-steady and unbounded characteristics of the simulation, the previous measures are extended to a moving frame approach to create time-dependent mixing rates that are dependent upon the initial time of particle integration, and are computed for nonlocal regions. The global measures of mixing derived from finite-time Lyapunov exponents, relative dispersion, and a measured mixing rate are applied to distinct regions representing different characteristic feautures within the model. It is shown that these time-dependent mixing rates exhibit correlations with maximal tangential winds during a quasi-steady state, establishing a connection between mixing and hurricane intensity.

Application of SSM/I satellite data to a hurricane simulation

2004 ◽  
Vol 130 (598) ◽  
pp. 801-825 ◽  
Author(s):  
Shu-Hua Chen ◽  
Francois Vandenberghe ◽  
Grant W. Petty ◽  
James F. Bresch
Keyword(s):  
Satellite Data ◽  
Hurricane Simulation
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