Introduction to Wind Wave Model Formulation Igor V. Lavrenov Prof. Dr., Head of Oceanography Department State Research Center of the Russian Federation.

Slides:



Advertisements
Similar presentations
Oscillations and Simple Harmonic Motion:
Advertisements

SPECIAL PURPOSE ELEMENTS
Spectrum of MHD turbulence
Basic Wave Theory Review
SWELL WAVES : concepts and basis
2. The WAM Model: Solves energy balance equation, including Snonlin
The Wave Model ECMWF, Reading, UK.
Parametrization of surface fluxes: Outline
Parameterization of orographic related momentum
Slide 1 The Wave Model ECMWF, Reading, UK. Slide 2The Wave Model (ECWAM) Resources: Lecture notes available at:
Introduction to RF for Accelerators
Two-Dimensional Unsteady Planing Elastic Plate Michael Makasyeyev Institute of Hydromechanics of NAS of Ukraine, Kyiv.
1 WATER WAVE TRANSFORMATION DUE TO BOTTOM OBSTACLES I. Selezov, V. Tkachenko, G. Fratamico Institute of Hydromechanics, NASU, Kiev, Ukrain The University.
THERMAL-AWARE BUS-DRIVEN FLOORPLANNING PO-HSUN WU & TSUNG-YI HO Department of Computer Science and Information Engineering, National Cheng Kung University.
Chapter 7 Waves in the Ocean ©2003 Jones and Bartlett Publishers.
Role of moored buoy data in wave modelling for the north Indian Ocean P Vethamony, K Sudheesh, Rupali P, MT Babu and P Vethamony, K Sudheesh, Rupali P,
INWAVE: THE INFRAGRAVITY WAVE DRIVER OF THE COAWST SYSTEM
Report 5 Grid. Problem # 8 Grid A plastic grid covers the open end of a cylindrical vessel containing water. The grid is covered and the vessel is turned.
Indian Ocean wave Modeling Beijing, China, 25 to 29 July 2005 Joint Regional Conference on Disaster Relief and Management – International Cooperation &
Operational Forecasting Wave Models. WaveWatch III (Tolman 1997, 1999a) Model description: – Third generation wave model developed at NOAA/NCEP. – Solves.
2 – SEA WAVE CHARACTERIZATION António F. de O. Falcão Instituto Superior Técnico, Universidade Técnica de Lisboa, Portugal Renewable Energy Resources 2008.
The role of resonant wave interactions in the evolution of extreme wave events R. Gibson and C. Swan Imperial College London.
Chapter 4 Wave-Wave Interactions in Irregular Waves Irregular waves are approximately simulated by many periodic wave trains (free or linear waves) of.
Baroclinic Instability in the Denmark Strait Overflow and how it applies the material learned in this GFD course Emily Harrison James Mueller December.
Spectral Analysis of Wave Motion Dr. Chih-Peng Yu.
STORM SURGE. Composed of several attributes: A)Barometric – Coastal water response to low pressure at center of storm B) Wind stress – frictional drag.
Modeling Fluid Phenomena -Vinay Bondhugula (25 th & 27 th April 2006)
Freak Waves and Wave Breaking - Catastrophic Events in Ocean V.E. Zakharov [1,2,3,4] in collaboration with Alexander Dyachenko [3,4], Andrey Pushkarev.
Page 1© Crown copyright 2004 Forecasting sea state with a spectral wave model Rogue Waves 2004, Brest Martin Holt 22 October
Juan Carlos Ortiz Royero Ph.D.
Ocean Waves What causes ocean waves to form and move?
Forecasting Ocean Waves Problem: Given observed or expected weather, what will be the sea state? Ships are sunk not by winds, but by waves!
Experience of short-range (1-5 days) numerical ice forecasts for the freezing seas. Sergey Klyachkin, Zalman Gudkovich, Roman Guzenko Arctic and Antarctic.
Naval Architecture & Marine Engineering University of Michigan – College of Engineering The Marine Environment.
RT Modelling of CMEs Using WSA- ENLIL Cone Model
The Air-Sea Momentum Exchange R.W. Stewart; 1973 Dahai Jeong - AMP.
An Assimilating Tidal Model for the Bering Sea Mike Foreman, Josef Cherniawsky, Patrick Cummins Institute of Ocean Sciences, Sidney BC, Canada Outline:
Southern Taiwan University Department of Electrical engineering
Theory of wind-driven sea by V.E. Zakharov S. Badulin A.Dyachenko V.Geogdjaev N.Ivenskykh A.Korotkevich A.Pushkarev In collaboration with:
Oscillations & Waves IB Physics. Simple Harmonic Motion Oscillation 4. Physics. a. an effect expressible as a quantity that repeatedly and regularly.
Classification: Internal Status: Draft Predicting characteristic loads for jackets and jack-ups Shallow water location – quasi-static approach Problem.
OCEN 201 Introduction to Ocean & Coastal Engineering Ocean Environment &Waves Jun Zhang
Practical result in sea ice and meteorological layers integration with navigation charts IICWG - IV St. Petersburg, April 7-11, 2003 Yu.A.Scherbakov,G.A.Alekseenkov.
COOLING OF NEUTRON STARS D.G. Yakovlev Ioffe Physical Technical Institute, St.-Petersburg, Russia Ladek Zdroj, February 2008, 1. Formulation of the Cooling.
Modeling the upper ocean response to Hurricane Igor Zhimin Ma 1, Guoqi Han 2, Brad deYoung 1 1 Memorial University 2 Fisheries and Oceans Canada.
WIND STRESS OVER INDIAN OCEAN Abhijit Sarkar, K Satheesan, Anant Parekh Ocean Sciences Division Space Applications Centre, INDIA ISRO-CNES Joint Programme.
Wind-wave growth in the laboratory studies S. I. Badulin (1) and G. Caulliez (2) (1) P.P. Shirshov Institute of Oceanology, Moscow, Russia (2) Institut.
Free-surface Waves by Jong-Chun Park Class: Environmental Fluid Modeling, May 17, 2002.
SELF-SIMILARITY OF WIND-WAVE SPECTRA. NUMERICAL AND THEORETICAL STUDIES Sergei I. Badulin (1), Andrei N. Pushkarev (2,4), Donald Resio (3), Vladimir E.
For a rotating solid object, the vorticity is two times of its angular velocity Vorticity In physical oceanography, we deal mostly with the vertical component.
Thirty Years of Operational Ocean Wave Forecasting at Fleet Numerical Meteorology and Oceanography Center Paul Wittmann and Mike Clancy Fleet Numerical.
7.1.1 Hyperbolic Heat Equation
RD Instruments Home of the ADCP Coastal & Inland Business Unit 1. Why Waves? 2. Waves Features 3. Waves Observed.
Numerical study of flow instability between two cylinders in 2D case V. V. Denisenko Institute for Aided Design RAS.
AOSS 401, Fall 2007 Lecture 21 October 31, 2007 Richard B. Rood (Room 2525, SRB) Derek Posselt (Room 2517D, SRB)
Geopotential and isobaric surfaces
OBSERVATIONSMODELINGPROJECT SWAN (Simulating Waves Nearshore) ADCIRC (Advanced Circulation Model) BOM (Bergen Ocean Model) WRF-ARW (Weather Research.
Waves in the coastal ocean - Coastal Oceanography - Aida Alvera-Azcárate
Numerical investigation of breaking waves in a spectral environment Dmitry Chalikov, Alexander Babanin Swinburne University of Technology, Melbourne, Australia,
Milton Garces, Claus Hetzer, and Mark Willis University of Hawaii, Manoa Source modeling of microbarom signals generated by nonlinear ocean surface wave.
Measuring Deep Currents
Enhancement of Wind Stress and Hurricane Waves Simulation
Oceans Introduction Chapter 23 Section 1.
Importance of high-resolution modeling for storm surge, hurricane waves, coastal water levels, and currents in Puerto Rico and the U.S. Virgin Islands.
Coastal Ocean Dynamics Baltic Sea Research Warnemünde
Frequency dependent microseismic sources
Forecasting Ocean Waves
Forecasting sea state with a spectral wave model
Forecasting sea state with a spectral wave model
Abnormal Amplification of Long Waves in the Coastal Zone
Presentation transcript:

Introduction to Wind Wave Model Formulation Igor V. Lavrenov Prof. Dr., Head of Oceanography Department State Research Center of the Russian Federation Arctic and Antarctic Research Institute, Bering 38, , St.Petersburg, Russia, (AARI)

Part 1. Hydro dynamical Problem Formulation of Wind Wave Modelling

1.5 Difficulties of obtaining deterministic problem solution for wind wave modeling A complete system of the equations (1.3), (1.9)–(1.13) for determining the surface evolution at the initial conditions (1.8) presents considerable difficulty for the analysis. Unlike to the usual classical theory of potential waves with the given pressure distribution Pа at the surface, either the surface itself or the pressure are not determined in the wind wave theory. These two unknown functions are not independent, that is why a co-ordinated solution of both equations (1.9)–(1.12) for wave disturbances at z is required for surface determining problem.

Part 2. Wind Wave Energy Balance Equation (Spectral Approach) Wind wave time series

Rayleigh function of wave height distribution

JONSWAP Spectrum approximation

JONSWAP Spectrum Approximation algorithmic scale

JONSWAP Spectrum approximation with cos angular distribution with n=12

JONSWAP Spectrum approximation with cos angular distribution with n=2

JONSWAP Spectrum approximation with JONSWAP angular distribution

Wind wave energy input

Miles model of wind wave energy input. The component Gin of the wind wave energy input is usually determined with a help of the relation based on the model of averaged air flow interaction with waves proposed by J.Miles (1960). In spite of the fact that this model is proposed in 1957, it describes accurately enough the mechanism of wind wave energy input. It is used even nowadays. This mechanism specified by using full-scale observation data (Snyder et al., 1981) can be described as follows: where U10 is the wind speed at a 10 m level; is the angle between the wind speed and the direction of wave spectral component propagation; a1 and a2 are the parameters assumed to be about 1. Nowadays more sofiticated approximations are developed (Chalikov&Belevich, 1995; Makin&Kudriavtcev, 2003)

Non-Linear Energy Transfer in Wind Wave Spectrum The problem of non-linear energy transfer in wind wave spectrum was formulated by K.Hasselmann (1960,1962,1963,1965,1966) and V.Zakharov (1968) in 1960s. As a result of non-linear interaction, the wave spectrum evolution equation can be presented as follows :

Four-wave interaction diagram (Hasselmann, 1963).

Non-linear transfer function for the JONSWAP spectrum with =7: 1 - according to results (Hasselmann S. and Hasselmann K.,1981); 2 – by the Lavrenovs

JONSWAP Spectrum approximation with non-linear energy transfer

Wave Energy Dissipation K.Hasselmann (1974) suggested the wave energy dissipation parameterisation, connected with wave breaking. In his opinion it be considered as random distribution of perturbing forces, making up pressure pulsations with small scales in space and time in comparison with the proper wave length and period.. The wave dissipation used in the WAM model (The WAM model, 1988; Komen et al., 1994) connected with wave breaking is accepted in the form of quasi-linear approximation, as suggested by G.Komen (1984) on the basis of the Hasselmann model: where c, n and m are the model parameters; is the mean frequency of the wave spectrum; PM is the constant of the Pierson-Moskovits spectrum.

Wind wave interaction with non-uniform current and bottom

Freak wave generation in non-uniform current Freak wave collision with the Taganrorsky Zaliv. The Taganrogsky zaliv is a ship of the unrestricted sailing radius. The vessels length is m, the largest width is 22 m, the displacement during accident is tons, the board height above water is 7 m.

Map of the Southeast Coast (South Africa). 1 – location of abnormal wave accidence (Mallory, 1974); 2 – Location of the "Taganrogsky Zaliv tanker-refrigerator.

Synoptic charts of the southern Indian Ocean on April 27, 1985.

Wave rays arriving to given point in Agulhas current with frequency : 1– 0.20 rad s 1 ; rad s -1 (at angle 0 = -30°); 3 – 0.76 rad s -1 ; 4 – 0.93 rad s - 1 (at angle 0 =30°)..

Wave breaking in shallow water

Wave Transformation in Water covered with Ice Cover

Ice field distribution in South ocean around Antarctic (February, 1985)

Ice field distribution in South ocean around Antarctic (August, 1973)

3. Wind Wave Model Input and output parameters Input parameters: Wind speed and its direction in every grid point and in 3-6 hours time step; Current speed and its directions in every grid point; Water depth (in shallow water) in every grid point); Ice cover (mainly as a movable boundary)

Output parameters: Wind wave spectrum (two dimensional: frequency –angular) Wave height for swell and wind sea (significant or mean value); Wave period (mean, spectrum maximum); General direction of wave propagation;

Russian Global Wind Wave Model example of global forecast for

New Book about Wind Wave Modeling by Igor V. Lavrenov, Springer, 2003, 386p.

http//