L 1 Estimates for Oscillating Integrals Related to Structural Damped Wave Models

2013 ◽  
pp. 215-258 ◽  
Author(s):  
Takashi Narazaki ◽  
Michael Reissig
Keyword(s):  
Wave Models

Application of Wind Fetch and Wave Models for Habitat Rehabilitation and Enhancement Projects

2008 ◽  
pp. 0-0 ◽  
Author(s):  
Jason J. Rohweder ◽  
James T. Rogala ◽  
Barry L. Johnson ◽  
Dennis Anderson ◽  
Steve Clark ◽  
...  
Keyword(s):  
Habitat Rehabilitation ◽  
Wave Models

Using the Along-Track Altimeter Data for a Verification of the Numerical Wave Models

2018 ◽  
pp. 20-31
Author(s):  
V. Polnikov ◽  
◽  
F. Pogarsky ◽  
N. Zilitinkevich ◽  
A. Kubryakov ◽  
...  
Keyword(s):  
Altimeter Data ◽  
Numerical Wave ◽  
Wave Models ◽  
Along Track

Observation-Based Dissipation and Input Terms for Spectral Wave Models, with End-User Testing

2014 ◽  
Author(s):  
Alexander V. Babanin ◽  
Ian R. Young ◽  
W. E. Rogers ◽  
Jane M. Smith ◽  
Hendrik L. Tolman
Keyword(s):  
End User ◽  
User Testing ◽  
Wave Models

scholarly journals Approximate Solutions of Time Fractional Diffusion Wave Models

Mathematics ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 923 ◽  
Author(s):  
Abdul Ghafoor ◽  
Sirajul Haq ◽  
Manzoor Hussain ◽  
Poom Kumam ◽  
Muhammad Asif Jan
Keyword(s):  
Finite Difference ◽  
Wave Equations ◽  
Quadrature Rule ◽  
Approximate Solutions ◽  
Fractional Diffusion ◽  
Haar Wavelets ◽  
Test Problems ◽  
Algebraic Equations ◽  
Diffusion Wave ◽  
Wave Models

In this paper, a wavelet based collocation method is formulated for an approximate solution of (1 + 1)- and (1 + 2)-dimensional time fractional diffusion wave equations. The main objective of this study is to combine the finite difference method with Haar wavelets. One and two dimensional Haar wavelets are used for the discretization of a spatial operator while time fractional derivative is approximated using second order finite difference and quadrature rule. The scheme has an excellent feature that converts a time fractional partial differential equation to a system of algebraic equations which can be solved easily. The suggested technique is applied to solve some test problems. The obtained results have been compared with existing results in the literature. Also, the accuracy of the scheme has been checked by computing L 2 and L ∞ error norms. Computations validate that the proposed method produces good results, which are comparable with exact solutions and those presented before.

CIMI simulations with newly developed multiparameter chorus and plasmaspheric hiss wave models

2017 ◽  
Vol 122 (9) ◽  
pp. 9344-9357 ◽  
Author(s):  
Homayon Aryan ◽  
David G. Sibeck ◽  
Suk-Bin Kang ◽  
Michael A. Balikhin ◽  
Mei-Ching Fok ◽  
...  
Keyword(s):  
Wave Models

scholarly journals Solar wind and substorm excitation of the wavy current sheet

2009 ◽  
Vol 27 (6) ◽  
pp. 2457-2474 ◽  
Author(s):  
C. Forsyth ◽  
M. Lester ◽  
R. C. Fear ◽  
E. Lucek ◽  
I. Dandouras ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Solar Wind ◽  
Current Sheet ◽  
Pressure Pulse ◽  
Wind Pressure ◽  
Expansion Velocity ◽  
Solar Wind Pressure ◽  
Wave Models ◽  
Best Fit ◽  
The Magnetic Field

Abstract. Following a solar wind pressure pulse on 3 August 2001, GOES 8, GOES 10, Cluster and Polar observed dipolarizations of the magnetic field, accompanied by an eastward expansion of the aurora observed by IMAGE, indicating the occurrence of two substorms. Prior to the first substorm, the motion of the plasma sheet with respect to Cluster was in the ZGSM direction. Observations following the substorms show the occurrence of current sheet waves moving predominantly in the −YGSM direction. Following the second substorm, the current sheet waves caused multiple current sheet crossings of the Cluster spacecraft, previously studied by Zhang et al. (2002). We further this study to show that the velocity of the current sheet waves was similar to the expansion velocity of the substorm aurora and the expansion of the dipolarization regions in the magnetotail. Furthermore, we compare these results with the current sheet wave models of Golovchanskaya and Maltsev (2005) and Erkaev et al. (2008). We find that the Erkaev et al. (2008) model gives the best fit to the observations.

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