Siam Tsunami Propagation Simulator Model (SiTProS)

Slides:

Advertisements

Similar presentations

Meteorological tsunamis on the Pacific coast of North America

Advertisements

Transformation of Shallow-Water Waves The Certificate Program in Tsunami Science and Preparedness. Held at the University of Washington in Seattle, Washington.

NTHMP - CC Meeting San Diego, CA February 8-9, 2012 Tsunami Modules by Comet Erv Petty Alaska Division of Homeland Security and Emergency Management.

Conference on Tsunami and Nonlinear Waves How well can we predict tsunamis? Harvey Segur, University of Colorado, USA.

MaxSea International Software editor for marine market MaxSea is distributed in 25 countries Available in 13 languages ships equiped.

Earthquake and tsunami scenarios in the South China Sea Vu Thanh Ca Center for Marine and Ocean-Atmosphere Interaction Research Vietnam Institute of Meteorology,

Introduction of numerical storm surge prediction models Dr.Wattana Kanbua Marine Meteorological Center Thai Meteorological Department.

Square root of an arbitrary positive number: Determination by estimation & iteration Given an area (A) of a square, determine its width. ? Area.

Preliminary wave energy hindcast results for the circum-arctic region Preliminary wave energy hindcast results for the circum-arctic region David E. Atkinson.

Meteorology Presentation Willard Clark Haley Cica Nicholas Scaturo.

Tsunami Simulation for the warning and risk evaluation The Certificate Program in Tsunami Science and Preparedness. Held at the University of Washington.

C++ Programming: Program Design Including Data Structures, Third Edition Chapter 16: Recursion.

Cracow Grid Workshop November 5-6 Support System of Virtual Organization for Flood Forecasting L. Hluchy, J. Astalos, V.D. Tran, M. Dobrucky and G.T. Nguyen.

Multi-scale Simulation of tsunami from Tohoku Earthquake and Diffracted Tsunami Waves in Hokkaido ZHU AIYU, Zhang Dongning Institute of Geophysics, China.

Reinforcement Learning Rafy Michaeli Assaf Naor Supervisor: Yaakov Engel Visit project’s home page at: FOR.

UNIVERSITY OF SOUTH CAROLINA Department of Computer Science and Engineering On-line Alert Systems for Production Plants A Conflict Based Approach.

CREATE THE DIFFERENCE Before you start Please press F5 to run this show.

Starter Activity Write the equation of a circle with a center of

Lecture Notes Dr. Rakhmad Arief Siregar Universiti Malaysia Perlis

Modeling and Prototypes Presentation Explanation © 2011 International Technology and Engineering Educators Association, STEM  Center for Teaching.

August 6, 2006JSM Seattle1 Generalized Single Linkage Clustering Werner Stuetzle Rebecca Nugent Department of Statistics University of Washington.

The SiTProS Model (Siam Tsunami Propagation Simulator) Annual National Symposium on Computational Science and Engineering (ANSCSE11) Held at Phuket, Thailand,

Numerical Computation of Neck-in and Edge Beading in Film Casting Tyler Birkel and Jessica Eckles, University of Wisconsin-Eau Claire Faculty Advisors:

Computer simulation of the Indonesian tsunami of December 26, 2004 (8 minutes after the earthquake), created using models of wave motion based on advanced.

1 Ion Optics Simulations What it is. How it’s useful. The SIMION ion optics software. –How it works. –Limitations and cautions –Demonstrations and examples.

Introduction and Analysis of Error Pertemuan 1

Lecture Objectives Review SIMPLE CFD Algorithm SIMPLE Semi-Implicit Method for Pressure-Linked Equations Define Residual and Relaxation.

Finite Differences Finite Difference Approximations  Simple geophysical partial differential equations  Finite differences - definitions  Finite-difference.

The Origin of Tsunamis Troy Barone 5/15/15 Science Project Term 4.

C++ Programming: From Problem Analysis to Program Design, Third Edition Chapter 17: Recursion.

SHINE Meeting, July 31 – August 4, 2006 Neutron Monitor Observations of the January 20, 2005 Ground Level Enhancement John W. Bieber 1, John Clem 1, Paul.

12a. Regression Analysis, Part 1 CSCI N207 Data Analysis Using Spreadsheet Lingma Acheson Department of Computer and Information Science,

Computer Science 101 Modeling and Simulation. Scientific Method Observe behavior of a system and formulate an hypothesis to explain it Design and carry.

International Workshop of APEC Cooperation for Earthquake Simulation Eiichi Fukuyama National Research Institute for Earth Science and Disaster Prevention,

Design and Implementation of an Operational Tsunami Forecast Tool Donald W. Denbo, John R. Osborne, Clinton K. Pells and Mike A. Traum Joint Institute.

1 EEE 431 Computational Methods in Electrodynamics Lecture 9 By Dr. Rasime Uyguroglu

Remarks: 1.When Newton’s method is implemented has second order information while Gauss-Newton use only first order information. 2.The only differences.

Space-Time Mesoscale Analysis System A sequential 3DVAR approach Yuanfu Xie, Steve Koch John McGinley and Steve Albers Global Systems Division Earth System.

SI 2008: Study of Wave Motion July 19, 2008 Martin Bobb Joseph Marmerstein Feibi Yuan Caden Ohlwiler.

Lecture Objectives: Explicit vs. Implicit Residual, Stability, Relaxation Simple algorithm.

The APEC Cooperation for Earthquake Simulation (ACES) John B Rundle ACES Executive Director University of California, Davis, CA USA

COMPARISON OF ANALYTICAL AND NUMERICAL APPROACHES FOR LONG WAVE RUNUP by ERTAN DEMİRBAŞ MAY, 2002.

Time-dependent Schrodinger Equation Numerical solution of the time-independent equation is straightforward constant energy solutions do not require us.

Tsunami and Indian Ocean Wave Modeling

Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota.

Lecture Objectives Review Define Residual and Relaxation SIMPLE CFD Algorithm SIMPLE Semi-Implicit Method for Pressure-Linked Equations.

Fast motion estimation and mode decision for H.264 video coding in packet loss environment Li Liu, Xinhua Zhuang Computer Science Department, University.

M.Sc. and Ph.D. in Computational Science Department of Mathematics Faculty of Science Chulalongkorn University.

1 Presented by Sarbagya Buddhacharya. 2 Increasing bandwidth demand in telecommunication networks is satisfied by WDM networks. Dimensioning of WDM networks.

A local search algorithm with repair procedure for the Roadef 2010 challenge Lauri Ahlroth, André Schumacher, Henri Tokola

Regress-itation Feb. 5, Outline Linear regression – Regression: predicting a continuous value Logistic regression – Classification: predicting a.

Additional Safeguards Session Law Revised Payment Adjustment Plan Personal Care Services State Plan Amendment August 20, 2014 Revised version.

Introducing: common denominator least common denominator like fractions unlike fractions. HOW TO COMPARE FRACTIONS.

ICP 9/7/12 Current Events Day. Warmup Make a list of current events (things going on in the news right now) that are related to science.

State of Tsunami Science and Early Warnings Dr. François Schindelé, CEA-DASE Chairman of the International Coordination Group for the Tsunami Warning System.

5 Minute Math In which place is the 4 in each of the following: 140,399 48, ,394 Write 2 equivalent fractions for each of the following:

Open boundary conditions for forced wind waves in a coupled model of tide, surge and wave S.Y. Kim Dept of Social Management, Tottori University,

BUS 308 Week 5 Final Paper Check this A+ tutorial guideline at 308-Week-5-Final-Paper Writing the Final Paper.

Conclusion Model is already available to represent tsunami

Emerging Research Opportunities at the Climate Modeling Laboratory NC State University (Presentation at NIA Meeting: 9/04/03) Fredrick H. M. Semazzi North.

Xing Cai University of Oslo

Approximation of the Propagator for the Harmonic Oscillator

Name xxx Research Center and Department of yyyy, Faculty of zzz

Name xxx Research Center and Department of yyyy, Faculty of zzz

Name xxx Research Center and Department of yyyy, Faculty of zzz

Generalized Single Linkage Clustering

Numerical Simulation of East China Sea Tsunami by Boussinesq Equation

Name xxx Research Center and Department of yyyy, Faculty of zzz

Name xxx Research Center and Department of yyyy, Faculty of zzz

Name xxx Research Center and Department of yyyy, Faculty of zzz

Presentation transcript:

Siam Tsunami Propagation Simulator Model (SiTProS) The Certificate Program in Tsunami Science and Preparedness. Siam Tsunami Propagation Simulator Model (SiTProS) Dr.Wattana Kanbua Marine Meteorological Center Meteorological Observation and Warning Bureau Thai Meteorological Department Mr.Somporn Chuai-Aree Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Pattani Campus. Held at the University of Washington in Seattle, Washington (USA) , During July 21- August 2, 2007.

The SiTProS Model and Numerical Simulation The Certificate Program in Tsunami Science and Preparedness. The SiTProS Model and Numerical Simulation Held at the University of Washington in Seattle, Washington (USA) , During July 21- August 2, 2007.

SiTProS Model – shallow water equation The Certificate Program in Tsunami Science and Preparedness. SiTProS Model – shallow water equation Held at the University of Washington in Seattle, Washington (USA) , During July 21- August 2, 2007.

SiTProS Model – 2D grid system The Certificate Program in Tsunami Science and Preparedness. SiTProS Model – 2D grid system Held at the University of Washington in Seattle, Washington (USA) , During July 21- August 2, 2007.

SiTProS Model – approximation (model 1) The Certificate Program in Tsunami Science and Preparedness. SiTProS Model – approximation (model 1) Held at the University of Washington in Seattle, Washington (USA) , During July 21- August 2, 2007.

SiTProS Model - Calculation The Certificate Program in Tsunami Science and Preparedness. SiTProS Model - Calculation From where u(n+1) may be calculated as: Substitute all terms in the wave equation, finally you get the equation 4 when C and h are given below of this page. This equation is for fully wave equation, but the calculation is slower than the previous model of our tsunami generation. The first program, we ignored the term -4U(n,i,j) and +2U(n,i,j) Held at the University of Washington in Seattle, Washington (USA) , During July 21- August 2, 2007.

SiTProS Model - Calculation The Certificate Program in Tsunami Science and Preparedness. SiTProS Model - Calculation Initial Condition values at n=1 as the initial conditions R What are the values at n=0? We apply a zero-gradient initial condition , this means substitute this into (4), then we get

SiTProS Model - Calculation The Certificate Program in Tsunami Science and Preparedness. SiTProS Model - Calculation Boundary Condition 4 boundaries are free (open). Held at the University of Washington in Seattle, Washington (USA) , During July 21- August 2, 2007.

Algorithm for Wave Propagation The Certificate Program in Tsunami Science and Preparedness. Algorithm for Wave Propagation how does this algorithm work? (to save memory) can be assigned to for next iteration before calculation. U[new] U[old] U[new] Held at the University of Washington in Seattle, Washington (USA) , During July 21- August 2, 2007.

SiTProS Model – approximation (model 2) The Certificate Program in Tsunami Science and Preparedness. SiTProS Model – approximation (model 2) (minute)

SiTProS Model – computing grid The Certificate Program in Tsunami Science and Preparedness. SiTProS Model – computing grid Held at the University of Washington in Seattle, Washington (USA) , During July 21- August 2, 2007.

SiTProS Model – fault parameters The Certificate Program in Tsunami Science and Preparedness. SiTProS Model – fault parameters Held at the University of Washington in Seattle, Washington (USA) , During July 21- August 2, 2007.

SiTProS Model - Algorithm The Certificate Program in Tsunami Science and Preparedness. SiTProS Model - Algorithm Held at the University of Washington in Seattle, Washington (USA) , During July 21- August 2, 2007.

Results – tsunami propagation The Certificate Program in Tsunami Science and Preparedness. Results – tsunami propagation

Results – tsunami propagation The Certificate Program in Tsunami Science and Preparedness. Results – tsunami propagation Held at the University of Washington in Seattle, Washington (USA) , During July 21- August 2, 2007.

The Certificate Program in Tsunami Science and Preparedness. Conclusion This paper has introduced the tsunami propagation simulator model which calculated trends to check the model could predict the tsunami arrival times. We have already compared the result of the model with observation time in the case of the December 26, 2004. In general, it was found that the model can predict quite well. The model is already implemented for Tsunami Warning Systems to provide a first estimate of tsunami arrival time. The SiTProS model has therefore been developed by ourselves, using a fast algorithm for a quick estimate of the tsunami front propagation. We have applied this model to the 26th December event. It shows a very satisfied prediction of the time of the main events. The trial version of software is available at http://www.schuai.net/SiTProS. Held at the University of Washington in Seattle, Washington (USA) , During July 21- August 2, 2007.