For a scientific approach to extreme events Asymptotic analysis of typhoons and tsunami Daniela Bianchi, Department of Physics, Univ. Of Rome “La Sapienza”

Slides:



Advertisements
Similar presentations
An atmosphere-ocean coupled regional climate model for the Mediterranean Alberto Elizalde Daniela Jacob Uwe Mikolajewicz Max Planck Institute for Meterology.
Advertisements

Wind and Weather.
NTHMP - CC Meeting San Diego, CA February 8-9, 2012 Tsunami Modules by Comet Erv Petty Alaska Division of Homeland Security and Emergency Management.
Air Pressure and Winds III
Visualizing Physical Geography Copyright © 2008 John Wiley and Sons Publishers Inc. Chapter 5 Winds and Global Circulation.
Atmosphere and Hydrosphere SJCHS. Atmosphere Atmosphere: Layer of gases that surround the Earth Composition 78 % Nitrogen 21% Oxygen 1% Other (Water Vapor,
International Conference on Environmental Observations, Modeling and Information Systems ENVIROMIS July 2004, Tomsk, Russia International Conference.
By: Klaus Austin Fuentes Jan Michael G. Gaite. WEATHER DISTURBANCE.
Circulation in the atmosphere
Magnitude 8.9 (9.0) earthquake near Sendai, east coast of Honshu, Japan Friday, March 11, 2011 at 05:46:23 UTC Japan was struck by a magnitude 8.9 (9.0)
Russian Academy of Sciences Far East Branch Institute of Marine Geology & Geophysics Yu. Korolev THE RETROSPECTIVE SHORT-TERM TSUNAMI FORECAST Novosibirsk.
Morphodynamic Equilibria in Tidal Embayments with Decreasing Cross-Section Henk Schuttelaars The Institute for Marine and Atmospheric research Utrecht.
Tsunamis and Tsunami Detection Systems December 1, 2010 Physical Oceanography Presentation Jeana Drake.
Multi-scale Simulation of tsunami from Tohoku Earthquake and Diffracted Tsunami Waves in Hokkaido ZHU AIYU, Zhang Dongning Institute of Geophysics, China.
The Atmosphere Wind Field –Drives upper layer flows of the major gyres Net Heat & Freshwater Exchanges –Drives buoyancy flows (like the conveyor belt)
A Voyage of Discovery Physical oceanography Instructor: Dr. Cheng-Chien LiuCheng-Chien Liu Department of Earth Sciences National Cheng Kung University.
For a scientific approach to extreme events Asymptotic analysis of typhoons Daniela Bianchi, Department of Physics, Univ. Of Rome “La Sapienza” Sergey.
A Case Study of an Outbreak of Twin Tropical Cyclones Carl J. Schreck, III Department of Earth and Atmospheric Sciences University at Albany, SUNY.
Diego Arcas, Chris Moore, Stuart Allen NOAA/PMEL University of Washington.
NOAA Coastal Programs David Clark NOAA/NESDIS/NGDC Coastal Module of GTOS Meeting October 15, 2002.
Question and Answer Session Related to the Weather photo: D. Martin Douglas K. Miller Professor and Chair Atmospheric Sciences Department UNC Asheville.
Extratropical Storm-Induced Coastal Inundation: Scituate, MA Robert C. Beardsley 1, Changsheng Chen 2, Qichun Xu 2, Jianhua Qi 2, Huichan Lin 2 2 School.
CODAR Ben Kravitz September 29, Outline What is CODAR? Doppler shift Bragg scatter How CODAR works What CODAR can tell us.
Ecosystems and the Physical Environment Chapter 5.
Workshop On Renormalization Group, Kyoto 2005 B. Tirozzi, S.Yu. Dobrokhotov, S.Ya. Sekerzh-Zenkovich, T.Ya. Tudorovskiy Analytical and numerical analysis.
THE INVERSE PROBLEM OF RECONSTRUCTING A TSUNAMI SOURCE WITH NUMERICAL SIMULATION T.Voronina Institute of Computational Mathematics and Mathematical Geophysics.
Workshop on Extreme Events Max Planck Institut for Complex System Dresden, 30 October-2 November 2006 Workshop on Kinetic Theory and Mechanics of Continuous.
Meteorology: Weather and Climate Hot, Cold, and Everything in between!
Class #18 Wednesday, February 18, Class #18: Wednesday, February 18 Waves aloft Introduction to Oceanography Ocean Currents.
C20C Workshop, ICTP Trieste 2004 The impact of stratospheric ozone depletion and CO 2 on tropical cyclone behaviour in the Australian region Syktus J.
By: Klaus Austin Fuentes Jan Michael G. Gaite. WEATHER DISTURBANCE  a general term that describes any pulse of energy moving through the atmosphere.
Desert Aerosol Transport in the Mediterranean Region as Inferred from the TOMS Aerosol Index P. L. Israelevich, Z. Levin, J. H. Joseph, and E. Ganor Department.
The evolution of climate modeling Kevin Hennessy on behalf of CSIRO & the Bureau of Meteorology Tuesday 30 th September 2003 Canberra Short course & Climate.
Capturing the “hum” of the Earth on low frequency seismic arrays Barbara Romanowicz Univ of California, Berkeley in collaboration with: Junkee Rhie.
Warm air near the Earth’s surface rises and then cools as it goes back up. Convection happens on a global scale in the atmosphere and causes global winds,
NUMERICAL STUDY OF THE MEDITERRANEAN OUTFLOW WITH A SIMPLIFIED TOPOGRAPHY Sergio Ramírez-Garrido, Jordi Solé, Antonio García-Olivares, Josep L. Pelegrí.
Attenuation and Anelasticity
Of what use is a statistician in climate modeling? Peter Guttorp University of Washington Norwegian Computing Center
State of Tsunami Science and Early Warnings Dr. François Schindelé, CEA-DASE Chairman of the International Coordination Group for the Tsunami Warning System.
Optimal parameters of satellite–stabilizer system in circular and elliptic orbits 2nd International Workshop Spaceflight Dynamics and Control October 9-11,
10/25/ th Cyclone Workshop1 Analysis of the potential vorticity budget of a tropopause polar cyclone Steven M. Cavallo and Gregory J. Hakim University.
Analysis of Typhoon Tropical Cyclogenesis in an Atmospheric General Circulation Model Suzana J. Camargo and Adam H. Sobel.
Wind. What causes wind? Differences in heat and pressure cause winds. Cold air is more dense and creates more pressure. Different parts of the Earth receive.
3.4 Chapter 3 Quadratic Equations. x 2 = 49 Solve the following Quadratic equations: 2x 2 – 8 = 40.
Workshop on Messico, 2010 B. Tirozzi, S.Yu. Dobrokhotov, E. Nazaikinski “Asymptotic solutions of a 2- dimensional wave equations with degenerate velocity.
Energies associated with the Sumatra Earthquakes of December 26, 2004 and March 28, 2005 Sergey Pulinets1,2, Menas Kafatos1, Dimitar Ouzounov1, Guido.
Workshop On Renormalization Group, Kyoto 2005
CAN WE BRING THIS ALL TOGETHER TO EXPLAIN PATTERNS OF GLOBAL
Ecosystems and the Physical Environment
Analysis of the tsunami event in Algeria 2003
Static Stability in the Global UTLS Observations of Long-term Mean Structure and Variability using GPS Radio Occultation Data Kevin M. Grise David W.
19.2 Pressure Centers and Winds
LAND BREEZE*** OCCURS AS A LOW PRESSURE SYSTEM DEVELOPS OVER WATER AT NIGHT DUE TO SPECIFIC HEAT DIFFERENCES. GOES FROM THE LAND OUT TO THE WATER.
Forecasting Weather.
October 23-26, 2012: AOMIP/FAMOS meetings
National Monsoon Mission Scoping Workshop April 11-15, 2011
Shuyi S. Chen, Ben Barr, Milan Curcic and Brandon Kerns
Earth Science has an impact on our lives
4.8 The Quadratic Formula and the Discriminant
Earth’s Atmosphere.
General Atmospheric Circulation
How will the earth’s temperature change?
The Course of Synoptic Meteorology
Chapter 10 Wind: Global Systems.
Quadratic Equations.
Summary Global Circulation
Directivity of tsunami generated by subduction zone sources
NATS Lecture 15 Atmo-Ocean Interactions El Niño-Southern Oscillation
The Course of Synoptic Meteorology
Abnormal Amplification of Long Waves in the Coastal Zone
Presentation transcript:

For a scientific approach to extreme events Asymptotic analysis of typhoons and tsunami Daniela Bianchi, Department of Physics, Univ. Of Rome “La Sapienza” Sergey Dobrokhotov, Institute of Problem of Mechanics, Moscow Academy of Sciences Fabio Raicich, ISMAR, CNR Trieste Sergiy Reutskiy, Ukrainian Academy of Science, Kharkov Brunello Tirozzi, Department of Physics, Univ. Of Rome “La Sapienza”

Poleward heat transport

Wind system for water covered Earth

Main wind system (Northern summer)

Main wind system (Southern summer)

Cyclon and Anticyclon

Cyclogenesis at mid latitudes

Westerlies-Rossby wave

Nanmadol

Forecast without heat exchange

Sonca

Forecast without heat exchange

Kirogi

Real and computed trajectory with heat exchange

Real and forecast trajectory

Maslov decomposition (1/2) x is the difference among the running point and the typhoon center F is a function with the singularity in the origin of the square root type S is a quadratic function of the coordinates x with different eigenvalues f(x,t), g(x,t) are smooth functions Self-similarity and stability properties

Maslov decomposition (2/2)

Cauchy Riemann conditions and stability of perturbations

Perturbed solutions of SW equations (1/3)

Perturbed solutions of SW equations (2/3)

Perturbed solutions of SW equations (3/3)

Conserved structure of the solution (1/2)

Conserved structure of the solution (2/2)

Chi variable at each 0.25 degrees for the 00 of Sanshan positions: 37.1 N, E (developed) Yagi positions: 20.5 N, E (beginning) 1 : Chi = sec^(-1)

Computation of the trajectory of the center of typhoons

SW+temp. eq. (1/2)

Sw+temp.eq (2/2)

Lax Wendroff Method (1/4)

Lax Wendroff method (2/4)

Lax Wendroff method (3/4)

Lax-Wendroff Method (4/4)

Stability of the vortex

Non stability of the vortex

Boundary conditions (1/3)

Boundary conditions (2/3)

Boundary conditions (3/3)

Neural Network (1/4)

Neural Network (2/4)

Neural Network (3/4)

Neural Network (4/4)

Hugoniot-Maslov Hierarchy 1/15

Hugoniot-Maslov Hierarchy 2/15

Hugoniòt-Maslov Hierarchy 3/15

Hugoniòt-Maslov Hierarchy 4/15

Hugoniòt-Maslov Hierarchy 5/15

Hugoniòt-Maslov Hierarchy 6/15

Hugoniòt-Maslov Hierarchy 7/15

Hugoniòt-Maslov Hierarchy 8/15

Hugoniòt-Maslov Hierarchy 9/15

Hugoniòt-Maslov Hierarchy 10/15

Hugoniòt-Maslov Hierarchy 11/15

Hugoniòt-Maslov Hierarchy 12/15

Hugoniòt-Maslov Hierarchy 13/15

Hugoniòt-Maslov Hierarchy 14/15

Hugoniòt-Maslov Hierarchy 15/15

More phenomenology (1/4)

More phenomenology (2/4)

More phenomenology (3/4)

More phenomenology (4/4)

Workshop On Renormalization Group, Kyoto 2005 B. Tirozzi, S.Yu. Dobrokhotov, S.Ya. Sekerzh-Zenkovich, T.Ya. Tudorovskiy Analytical and numerical analysis of the wave profiles near the fronts appearing in Tsunami problems

“Gaussian” source of Earthquake

Level curves of perturbation

Wave profiles at the front at time t at different angles

3D wave profile for elliptic source

“Modulated gaussian” source of Earthquake

Level curves of perturbation

Wave profiles at the front at time t at different angles

3D wave profile for elliptic source

The ridge near the source of Eathquake

Fronts at different times

The set of profiles

Simulations for Tyrrhenian Sea Relief data: National Oceanic and Atmospheric Administration (NOAA) National Geophysical Data Center (NGDC) ETOPO2 2-minute Global Relief

Rays for imaginary source at Stromboli: 38.8 N, 15.2 E

Amplitudes of wave at different points of the coast

3D wave profile

Density plot

... Workshop on Extreme Events... Max Planck Institut for Complex System Dresden, 30 October-2 November 2006 Analysis of the tsunami event in Algeria 2003 S. Dobrokhotov (1), B. Tirozzi (2), P. Zhevandrov (3), F. Raicich (4) (1) Institute for Problems in Mechanics, RAS, Moscow, Russia (2) Department of Physics, University “La Sapienza”, Rome, Italy (3) Escuela de Ciencias Fisico-Matematicas, Morelia, Mich., Mexico (4) CNR, Institute of Marine Sciences, Trieste, Italy

Valencia Barcelona Ibiza Earthquake data (USGS): t0: 18:44:19 GMT, 21 may 2003 USGS: epicenter 36.96°N, 3.63°E, M=6.9, hf=12 km Borerro: epicenter 36.90°N, 3.71°E, M=6.8, hf=10 km, strike=56°

Ellipsoidal deformation M = 6.9 h f = 12 km (Pelinovsky et al., 2001) a = 34 km b = 12 km b 56° a Coordinates: model gridpoints

(Dobrokhotov et al., 2006) a 1 = km -1 Gaussian*cosine deformation = 0 a 2 = km -1 b 1 = km -2 b 2 = km -2 = 56° Coordinates: model gridpoints

Wave equation

Average of fast oscillating solutions

Amplitude of the waves at tsunami front

Solutions before and after the scattering of the beach (1/2)

Solutions before and after the scattering of the beach (2/2)

Graphics 1

Graphics 2

Graphics 3

End