Download presentation
Presentation is loading. Please wait.
Published byJoella Armstrong Modified over 9 years ago
1
Diego Arcas NOAA/PMEL University of Washington
2
Illustration of Deep Water Linearity
3
Assumptions in the Non-linear Shallow Water Equations Continuity Equation: X-momentum equation: Y-momentum equation: Z-momentum equation: Unknowns: u,v,w and p Any term in the equations containing products of the unknowns or their derivatives will cause non-linear behavior.
4
Non-linear Behavior
5
Assumptions in the Non-linear Shallow Water Equations -Long wavelength compared to the bottom depth. - Uniform vertical profile of the horizontal velocity components. -Hydrostatic pressure conditions. -Negligible fluid viscosity.
6
Characteristic Form of the 1D Non-linear Shallow Water Equations Riemann Invariants: Eigenvalues:
7
Characteristic Form of the 1D Non-linear Shallow Water Equations Eigenvalues: Typical Deep Water Values:
8
Assumptions in the Non-linear Shallow Water Equations Confirmation of the estimated values of wavelength, amplitude and period of tsunami waves Non-linear Shallow Water Wave Equations seem to provide a good description of the phenomenon.
9
Assumptions in the Non-linear Shallow Water Equations Arcas & Wei, 2011, “Evaluation of velocity-related approximation in the non-linear shallow water equations for the Kuril Islands, 2006 tsunami event at Honolulu, Hawaii”, GRL, 38,L12608
10
Illustration of Deep Water Linearity
12
Linearity allows for the reconstruction of an arbitrary tsunami source using elementary building blocks
13
Unit source deformation Forecasting Method
14
West PacificEast Pacific Locations of the unit sources for pre-computed tsunami events. Forecasting Method
15
Unit source propagation of a tsunami event in the Caribbean Forecasting Method
16
Tsunami Warning: DART Systems
17
Forecasting Method: DART Positions
18
Forecasting Method: Inversion from DART
19
Forecasted Max Amplitude Distribution (Japan 2010)
20
Community Specific Forecast Models
22
Inundation Forecast Model Development
23
Tsunami inversion based on satellite altimetry: Japan 2010 Forecasting Challenges: Definition of Tsunami Initial Conditions
24
Forecasting Challenges: Definition of Tsunami Initial Conditions
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.