On another concept of Hasselmann equation source terms
|
|
- Elaine Dalton
- 5 years ago
- Views:
Transcription
1 On another concept of Hasselmann equation source terms An exploration of tuning - free models Vladimir Zakharov, Donal Resio, Andrei Pushkarev Waves and Solitons LLC University of Arizona University of North Florida Novosibirsk State University Lebedev Physical Institute RAS
2 Klaus Hasselmann (1962) ε + ω k ε =S +S +S nl in diss t k r 1/ 3 P 0+0=Snl +0+0 ε=c K 4 ω Snl derived from free surface Euler equations Sin multiple versions, differences up to 500% Sdiss multiple LF and HF versions Detailed discussion in Pushkarev, Zakharov 2016
3 Motivation : Build Sin properties requiring consistent of with mathematical Hasselmann equation and minimal tuning of the model
4 Field Experiments Theory Numerics 1/ 3 P S nl =0 ε=c K 4 ω 4 ε ω ε χ p, ω χ 0.74< p<1 0.2<q<0.3 q Zakharov, Filonenko 1968 ε χ p, ω χ q p=1, q=0.3 4 ε ω ε χ p, ω χ q p 1, q 0.3 Pushkarev, Resio, Zakharov 2003 Badulin, Babanin, Zakharov 2005 Badulin, Pushkarev, Resio, Zakharov 2008 Zakharov, Resio, Pushkarev Resio, Zakharov
5 Experiment Black Sea (Babanin & Soloviev 1998b) Walsh et al. (1989) US coast Kahma & Calkoen (1992) unstable Kahma & Calkoen (1992) stable Kahma & Pettersson (1994) JONSWAP by Davidan (1980) JONSWAP by Phillips (1977) Kahma & Calkoen (1992) composite Kahma (1981, 1986) rapid growth Kahma (1986) average growth Donelan et al. (1992) St Claire Ross (1978), Atlantic, stable Liu & Ross (1980), Michigan, unstable JONSWAP (Hasselmann et al. 1973) Mitsuyasu et al. (1971) ZRP numerics p q Exponents of wind-wave growth in fetch-limited experiments. Adapted from Badulin, Babanin, Zakharov, Resio 2007
6 Theoretical approach
7 ωk ε =S nl +S in k r Fetch limited case: ε =Snl +Sin Duration limited case: t Sin ε ω s+1 Existence of self-similar solutions is no guarantee of their realization! Example wave collapse in NLS
8 Duration Limited Case ε=t p+q ε=ε0 t p q F (ω t ) ω =ω0 t Fetch Limited Case ε=χ q p+q ε=ε0 χ q G (ω χ ) p q ω =ω0 χ 9 q 2 p=1 10 q 2 p=1 s=s( p, q) s=s( p, q)
9 Experimental approach
10 Resio-Long regression line 1/3 P 5/2 ε=c K 4 F (k )=β k ω 1 2 1/3 1/2 β= α4 [(uλ c p ) u0 ] g 2
11 Duration Limited Case p=10/7 q=3 /7 s=4 /3 Fetch Limited Case p=1 q=3 /10 s=4 /3
12 ZRP wind input term: 4/3 ρair ω Sin (ω, θ)= A ρ ω ( ω ) f (θ) ε(ω, θ) 0 water 2 cos (θ), for π/ 4<θ<π /4 f (θ)= 0, otherwise g ω0 = U 10 { }
13 Numerical approach
14 The model still misses 2 features: - the coefficient in front of ZRP - dissipation function S diss S in
15 f 5 implicit dissipation for f 1.1 Hz Low-pass filter
16 WAM3 dissipation
17 Duration limited case Wind speed 10 m/sec
18 Dimensionless energy versus dimensionless solid line. Self-similar solution - dashed line.
19 Total energy index as the function of dimensionless time - solid line. Self-similar index p = 10/7 - dashed line.
20 Dimensionless frequency versus dimensionless - solid line, self-similar solution - dashed line.
21 Mean frequency index versus dimensionless time - solid line. Self-similar index q = 3/7 - dashed line
22 "Magic number" 9q 2p versus dimensionless time solid line. Self-similar target - dashed line.
23 Decimal logarithm of the angle averaged spectrum versus decimal 4 logarithm of the frequency - solid line. Spectrum f - dashed line, 5 spectrum f - dash-dotted line.
24 Compensated spectrum versus frequency f.
25 Angle averaged wind input function (dotted line) and angle averaged spectrum (solid line) versus frequency f.
26 Experimental (dotted line), theoretical (dashed line) and numerical (diamonds) 1000β versus specific velocity for wind speed 10 m/sec.
27
28 Limited fetch case Wind speed 5 and 10 m/sec
29 Total energy versus fetch: wind speed 10 m/sec - solid line, 5 m/sec - dash-dotted line. Self-similar solution - dashed line
30 Local energy index versus fetch.
31 Mean frequency versus the fetch for wind speed 10 m/sec (solid line) and 5 m/sec (dashed line). Self-similar dependence - dash-dotted line.
32 Local mean frequency exponent q = dln<ω> dlnx as the function of dimensionless fetch xg/u2 for fetch limited case. Wind speed 10 m/sec - solid line, wind speed 5 m/sec - dashed line. Horizontal dashed line - target value of the self-similar exponent -q = -0.3.
33 Magic number" 10q 2p versus the fetch. Wind speed 10 m/sec - solid line, wind speed 5 m/sec - dash-dotted line. Self-similar target 1 dashed line.
34 Decimal logarithm of the angle averaged spectrum versus decimal 4 logarithm of the frequency - solid line. Spectrum f - dashed line, 5 spectrum f - dash-dotted line.
35 Angle averaged wind input function (dotted line) and angle averaged spectrum (solid line) versus frequency f.
36 Compensated spectrum versus frequency f.
37 Experimental (dotted line), theoretical (dashed line) and numerical (diamonds) 1000β versus specific velocity for wind speed 10 m/sec.
38 Energy versus fetch, adapted from Young 1999
39 Frequency versus fetch, adapted from Young 1999
40
41
42 CONCLUSIONS:
43 1. New set of source terms: XNL self-similarity experiments implicit dissipation 2. Conceptual difference with WAM3: HF vs spectral peak dissipation no wind input and dissipation overlapping 3. Physically based model: reproduction of HE theoretical properties reproduction of field experiments 4. No tuning for wind speed change
44 What we call long-wave, or spectral peak dissipation?
45 Is our simulation trustworthy?
46 Komen, S. Hasselmann, K. Hasselmann JPO (1984)
Self-Similarity of Wind-Wave Spectra. Numerical and Theoretical Studies
Self-Similarity of Wind-Wave Spectra. Numerical and Theoretical Studies Sergei I. Badulin 1, Andrei N. Pushkarev 2,3, Donald Resio 4, and Vladimir E. Zakharov 2,5 1 P.P.Shirshov Institute of Oceanology,
More informationTHE HIGH-FREQUENCY PORTION OF WIND WAVE SPECTRA AND ITS IMPLICATIONS Don Resio & Chuck Long ERDC-CHL Vicksburg, MS
THE HIGH-FREQUENCY PORTION OF WIND WAVE SPECTRA AND ITS IMPLICATIONS Don Resio & Chuck Long ERDC-CHL Vicksburg, MS MOTIVATION Spectral shape provides critical information for understanding source term
More informationAtmospheric stability parameters and sea storm severity
Coastal Engineering 81 Atmospheric stability parameters and sea storm severity G. Benassai & L. Zuzolo Institute of Meteorology & Oceanography, Parthenope University, Naples, Italy Abstract The preliminary
More informationThe Details of Detailed Balance. Don Resio University of North Florida Chuck Long Retired Will Perrie Bedford Institute of Oceanography
The Details of Detailed Balance Don Resio University of North Florida Chuck Long Retired Will Perrie Bedford Institute of Oceanography MOTIVATION Spectral shape provides critical information for understanding
More informationSession 2 Presentation - A New Generation of Spectral Wave Models
University of New Orleans ScholarWorks@UNO Ocean Waves Workshop Ocean Waves Workshop 2017 Dec 7th, 11:00 AM - 11:45 AM Session 2 Presentation - A New Generation of Spectral Wave Models Don Resio University
More informationWave Forecasting using computer models Results from a one-dimensional model
Proceedings of the World Congress on Engineering and Computer Science 007 WCECS 007, October -6, 007, San Francisco, USA Wave Forecasting using computer models Results from a one-dimensional model S.K.
More informationWIND GENERATED OCEAN WAVES IAN R. YOUNG
ELSEVIER OCEAN ENGINEERING BOOR SERIES VOLUME 2 WIND GENERATED OCEAN WAVES IAN R. YOUNG University of Adelaide, Australia OCEAN ENGINEERING SERIES EDITORS R. Bhattacharyya & M.E. McCormick 1999 ELSEVIER
More informationImplementation of New Experimental Input/Dissipation Terms for Modelling Spectral Evolution of Wind Waves
Implementation of New Experimental Input/Dissipation Terms for Modelling Spectral Evolution of Wind Waves Alexander Babanin 1 * *, Kakha Tsagareli 2, Ian Young 1 and David Walker 2 1 Swinburne University
More informationMECHANISMS OF THE EQUILIBRIUM-RANGE FORMATION IN THE WIND-WAVE SPECTRUM. NUMERICAL SIMULATION. Polnikov V.G.
MECHANISMS OF THE EQUILIBRIUM-RANGE FORMATION IN THE WIND-WAVE SPECTRUM. NUMERICAL SIMULATION Polnikov V.G. Obukhov Institute of Atmospheric Physics of RAS, Moscow, Russia 907 e-mail: Polnikov@mail.ru
More informationNUMERICAL STUDYING MECHANICS OF A STATIONARY RANGE FORMATION IN THE WIND-WAVE SPECTRUM
NUMERICAL STUDYING MECHANICS OF A STATIONARY RANGE FORMATION IN THE WIND-WAVE SPECTRUM Vladislav G. Polnikov 1, Fangli Qiao,3 and Jing Lu 1 A.M. Oukhov Institute of Atmospheric Physics of RAS, Moscow,
More informationNumerical Modeling of Fetch-Limited Waves in the Gulf of Tehuantepec
466 J O U R N A L O F P H Y S I C A L O C E A N O G R A P H Y VOLUME 40 Numerical Modeling of Fetch-Limited Waves in the Gulf of Tehuantepec LEONEL ROMERO AND W. KENDALL MELVILLE Scripps Institution of
More informationEstimating Air-Sea Energy and Momentum Exchanges inside Tropical Cyclones Using the Fetch- and Duration-Limited Wave Growth Properties
Estimating Air-Sea Energy and Momentum Exchanges inside Tropical Cyclones Using the Fetch- and Duration-Limited Wave Growth Properties Paul A. Hwang 1 and Yalin Fan 1 Remote Sensing Division Oceanography
More informationIncorporating Breaking Wave Predictions in Spectral Wave Forecast Models
Incorporating Breaking Wave Predictions in Spectral Wave Forecast Models Russel Morison and Michael Banner School of Mathematics, The University of New South Wales, Sydney 2052, Australia Motivation wave
More informationThe form of the asymptotic depth-limited wind wave frequency spectrum
Click Here for Full Article JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 111,, doi:10.1029/2005jc003398, 2006 The form of the asymptotic depth-limited wind wave frequency spectrum I. R. Young 1 and A. V. Babanin
More informationTSA - a two scale approximation for wind-generated ocean surface waves
TSA - a two scale approximation for wind-generated ocean surface waves William Perrie Bedford Institute of Oceanography, 1 Challenger Dr., Dartmouth Nova Scotia, B2Y4A2 Canada Phone: (902) 426-3985 FAX:
More informationOn Use of Internal Constraints in Recently Developed Physics for Wave Models
Naval Research Laboratory On Use of Internal Constraints in Recently Developed Physics for Wave Models Presented by Erick Rogers Oceanography Division Naval Research Laboratory Stennis Space Center, MS,
More informationIncorporating Breaking Wave Predictions in Spectral Wave Forecast Models
Incorporating Breaking Wave Predictions in Spectral Wave Forecast Models Russel Morison and Michael Banner School of Mathematics, The University of New South Wales, Sydney 2052, Australia Motivational
More informationFREAK WAVES: BEYOND THE BREATHER SOLUTIONS OF NLS EQUATION
UNIVERSITA DI TORINO Dipartimento di Fisica FREAK WAVES: BEYOND THE BREATHER SOLUTIONS OF NLS EQUATION M. Onorato Collaborators: A. Toffoli, A. Iafrati, G. Cavaleri, L. Bertotti, E. Bitner-Gregersen, A.
More informationWave Forecast and Wave Climate, Advances and Challenges
Wave Forecast and Wave Climate, Advances and Challenges Alexander Babanin, Ian Young and Stefan Zieger Swinburne University, Melbourne Australian National University, Canberra Australian Bureau of Meteorology,
More informationImplementation of New Experimental Input/Dissipation Terms for Modelling Spectral Evolution of Wind Waves
Implementation o New Experimental Input/Dissipation Terms or Modellg pectral Evolution o Wd Waves Alexander Baban, Kakha Tsagareli, Ian Young, and David Walker wburne University o Technology, Melbourne,
More informationAn evaluation of ocean wave model performances with linear and nonlinear dissipation source terms in Lake Erie
An evaluation of ocean wave model performances with linear and nonlinear dissipation source terms in Lake Erie Roop Lalbeharry 1, Arno Behrens 2, Heinz Guenther 2 and Laurie Wilson 1 1 Meteorological Service
More informationOccurrence of Freak Waves from Envelope Equations in Random Ocean Wave Simulations
Occurrence of Freak Waves from Envelope Equations in Random Ocean Wave Simulations Miguel Onorato, Alfred R. Osborne, Marina Serio, and Tomaso Damiani Universitá di Torino, Via P. Giuria, - 025, Torino,
More informationImproved Source Term Specification Improved Evolutionary Characteristics of Directional Spectra
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Improved Source Term Specification Improved Evolutionary Characteristics of Directional Spectra Donald T. Resio University
More informationImproved Parameterizations Of Nonlinear Four Wave Interactions For Application In Operational Wave Prediction Models
Improved Parameterizations Of Nonlinear Four Wave Interactions For Application In Operational Wave Prediction Models Gerbrant Ph. van Vledder ALKYON Hydraulic Consultancy & Research P.O.Box 248, 8300 AD
More informationThe NOPP Operational Wave Model Improvement Project
The NOPP Operational Wave Model Improvement Project Toward a next generation of wind wave model physics Hendrik L. Tolman, NOAA/NCEP Michael L. Banner, UNSW James M. Kaihatu, TAMU Hendrik.Tolman@NOAA.gov
More informationOceanographic Aspect of Tropical Cyclone Wind and Wave Remote Sensing
14 Oceanographic Aspect of Tropical Cyclone Wind and Wave Remote Sensing Paul A. Hwang, Yalin Fan, Xiaofeng Li, and Weizeng Shao CONTENTS 14.1 Introduction...287 14.2 Enabling Scientific Principle: Fetch-
More informationDevelopment of a bimodal structure in ocean wave spectra
Click Here for Full Article JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 115,, doi:10.1029/2009jc005495, 2010 Development of a bimodal structure in ocean wave spectra A. Toffoli, 1,2 M. Onorato, 3 E. M. Bitner-Gregersen,
More informationEquilibrium-range constant in wind-generated wave spectra
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 109,, doi:10.1029/2003jc001788, 2004 Equilibrium-range constant in wind-generated wave spectra Donald T. Resio and Charles E. Long Coastal and Hydraulics Laboratory,
More informationA Derivation of the Scaling Law, the Power Law and the Scaling Relation for Fetch-Limited Wind Waves Using the Renormalization Group Theory
Journal of Oceanograhy, Vol. 54,. 641 to 649. 1998 A Derivation of the Scaling Law, the Power Law and the Scaling Relation for Fetch-Limited Wind Waves Using the Renormalization Grou Theory KOJI UENO Meteorological
More informationTSA - a two scale approximation for wind-generated ocean surface waves
TSA - a two scale approximation for wind-generated ocean surface waves William Perrie Bedford Institute of Oceanography, 1 Challenger Dr., Dartmouth Nova Scotia, B2Y4A2 Canada Phone: (902) 426-3985 FAX:
More informationCOMPARISON OF GULF OF MEXICO WAVE INFORMATION STUDIES (WIS) 2-G HINDCAST WITH 3-G HINDCASTING Barbara A. Tracy and Alan Cialone
COMPARISON OF GULF OF MEXICO WAVE INFORMATION STUDIES (WIS) 2-G HINDCAST WITH 3-G HINDCASTING Barbara A. Tracy and Alan Cialone Engineer Research and Development Center Coastal and Hydraulics Laboratory
More informationProgress in ocean wave forecasting
529 Progress in ocean wave forecasting Peter A.E.M. Janssen Research Department Accepted for publication in J. Comp. Phys. 19 June 2007 Series: ECMWF Technical Memoranda A full list of ECMWF Publications
More informationFreakish sea state and swell-windsea coupling: Numerical study of the Suwa-Maru incident
Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L01607, doi:10.1029/2008gl036280, 2009 Freakish sea state and swell-windsea coupling: Numerical study of the Suwa-Maru incident H. Tamura,
More informationWave Turbulence and the Phillips Spectrum
Wave Turbulence and the Phillips Spectrum Alan Newell Department of Mathematics University of Arizona September 29, 2008 The role of the generalized Phillips spectrum in wave turbulence 1 What is wave
More informationEvaluation of a spectral line width for the Phillips spectrum by means of numerical simulation
Nonlin. Processes Geophys., 22, 325 335, 215 www.nonlin-processes-geophys.net/22/325/215/ doi:1.5194/npg-22-325-215 Author(s) 215. CC Attribution 3. License. Evaluation of a spectral line width for the
More informationEstimation of Wave Heights during Extreme Events in Lake St. Clair
Abstract Estimation of Wave Heights during Extreme Events in Lake St. Clair T. J. Hesser and R. E. Jensen Lake St. Clair is the smallest lake in the Great Lakes system, with a maximum depth of about 6
More informationLecture 1: Introduction to Linear and Non-Linear Waves
Lecture 1: Introduction to Linear and Non-Linear Waves Lecturer: Harvey Segur. Write-up: Michael Bates June 15, 2009 1 Introduction to Water Waves 1.1 Motivation and Basic Properties There are many types
More informationWave forecasting and extreme events
Wave forecasting and extreme events Peter Janssen European Centre for Medium-Range Weather Forecasts 1. INTRODUCTION Interest in wave prediction started during the Second World
More informationDirect Numerical Verification of the Theory of Weak Turbulence
Direct Numerical Verification of the Theory of Weak Turbulence A. O. Korotkevich, 1, A. Pushkarev, 2,3, D. Resio, 4 and V. E. Zakharov 5,6,3, 1 Landau Institute for Theoretical Physics RAS, 2, Kosygin
More informationTurbulent spectra generated by singularities
Turbulent spectra generated by singularities p. Turbulent spectra generated by singularities E.A. Kuznetsov Landau Institute for Theoretical Physics, Moscow Russia In collaboration with: V. Naulin A.H.
More informationEvolution of random directional wave and rogue/freak wave occurrence
Evolution of random directional wave and rogue/freak wave occurrence Takui Waseda 1,, Takeshi Kinoshita 1 Hitoshi Tamura 1 University of Tokyo, JAMSTEC Motivation Hypothesis Meteorological conditions and
More informationRELATION BETWEEN WIND AND WIND CURRENTS ON THE SYNOPTIC SCALE WITH ACCOUNT OF WAVE CONDITIONS
1 RELATION BETWEEN WIND AND WIND CRRENTS ON THE SYNOPTIC SCALE WITH ACCONT OF WAVE CONDITIONS Polnikov VG, Obukhov Institute of Atmospheric Physics. 11917 Moscow, Pyzhevsky, 3; polnikov@mail.ru Kabatchenko
More informationWave simulation using SWAN in nested and unnested mode applications
www.ec.gc.ca Wave simulation using SWAN in nested and unnested mode applications Roop Lalbeharry 1 and Hal Ritchie 2 Environment Canada, Science and Technology Branch 1 Meteorological Research Division,
More informationNUMERICAL AND THEORETICAL STUDIES
SELF-SIMILARITY OF WIND-WAVE SPECTRA. NUMERICAL AND THEORETICAL STUDIES Sergei I. Baduli (1), Adrei N. Pushkarev (,4), Doald Resio (3), Vladimir E. Zakharov (4,5) (1) P.P.Shirshov Istitute of Oceaology
More informationCHAPTER 40 THE WAMS MODEL APPLIED TO THE MEDITERRANEAN SEA. Luigi Cavaleri*, Luciana Bertotti*, Jose E. De Luis** and Piero Lionello*
CHAPTER 40 THE WAMS MODEL APPLIED TO THE MEDITERRANEAN SEA Luigi Cavaleri*, Luciana Bertotti*, Jose E. De Luis** and Piero Lionello* Summary The application of an advanced third generation wave model to
More informationWeak Turbulence of Gravity Waves
JETP Letters, Vol. 77, No. 0, 003, pp. 546 550. From Pis ma v Zhurnal Éksperimental noœ i Teoreticheskoœ Fiziki, Vol. 77, No. 0, 003, pp. 649 653. Original English Text Copyright 003 by Dyachenko, Korotkevich,
More informationEvolution of a Random Directional Wave and Freak Wave Occurrence
MARCH 2009 W A S E D A E T A L. 621 Evolution of a Random Directional Wave and Freak Wave Occurrence TAKUJI WASEDA Department of Ocean Technology Policy and Environment, Graduate School of Frontier Sciences,
More informationEvaluating the results of Hormuz strait wave simulations using WAVEWATCH-III and MIKE21-SW
Int. J. Mar. Sci. Eng., 2 (2), 163-170, Spring 2012 ISSN 2251-6743 IAU Evaluating the results of Hormuz strait wave simulations using WAVEWATCH-III and MIKE21-SW *F. S. Sharifi; M. Ezam; A. Karami Khaniki
More informationMonthly Variations of Global Wave Climate due to Global Warming
Jurnal Teknologi Full paper Monthly Variations of Global Wave Climate due to Global Warming Muhammad Zikra a*, Noriaki Hashimoto b, Kodama Mitsuyasu c, Kriyo Sambodho d a Ocean Engineering Department,
More informationPhase-averaged wave models
Phase-averaged wave models By Erick Rogers, NRL 7322 Acknowledgments Yalin Fan (NRL 7322) and Silvia Gremes (U. New Orleans) contributed to Figure 5. 1. Introduction In simplest terms, a phase-averaged
More informationMesoscopic Wave Turbulence
JETP Letters, Vol. 8, No. 8, 005, pp. 487 49. From Pis ma v Zhurnal Éksperimental noœ i Teoreticheskoœ Fiziki, Vol. 8, No. 8, 005, pp. 544 548. Original English Text Copyright 005 by Zakharov, Korotkevich,
More informationComparison between vertical shear mixing and surface wave-induced mixing in the global ocean
Comparison between vertical shear mixing and surface wave-induced mixing in the global ocean Fangli Qiao and Chuanjiang Huang Key Laboratory of Marine Science and Numerical Modeling First Institute of
More informationStatistical properties of mechanically generated surface gravity waves: a laboratory experiment in a 3D wave basin
Statistical properties of mechanically generated surface gravity waves: a laboratory experiment in a 3D wave basin M. Onorato 1, L. Cavaleri 2, O.Gramstad 3, P.A.E.M. Janssen 4, J. Monbaliu 5, A. R. Osborne
More informationProjection of Ocean Wave Climate Change Based on Numerical Simulations
Projection of Ocean Wave Climate Change Based on Numerical Simulations Muhammad Zikra a,*, Noriaki Hashimoto b and Kodama Mitsuyasu b a) Department of Ocean Engineering, Faculty of Marine Technology, Institut
More informationPART VII: ECMWF WAVE MODEL
Part VII: ECMWF Wave Model IFS DOCUMENTATION Cy43r3 Operational implementation 11 July 2017 PART VII: ECMWF WAVE MODEL Table of contents Chapter 1 Introduction Chapter 2 The kinematic part of the energy
More informationShort-Term Wave Analysis
Chapter 3 Short-Term Wave Analysis 3.1 Introduction In analysis of wave data, it is important to distinguish between shortterm and long-term wave analysis. Short-term analysis refers to analysis of waves
More informationExtreme waves, modulational instability and second order theory: wave flume experiments on irregular waves
European Journal of Mechanics B/Fluids 25 (2006) 586 601 Extreme waves, modulational instability and second order theory: wave flume experiments on irregular waves M. Onorato a,, A.R. Osborne a,m.serio
More informationModel Equation, Stability and Dynamics for Wavepacket Solitary Waves
p. 1/1 Model Equation, Stability and Dynamics for Wavepacket Solitary Waves Paul Milewski Mathematics, UW-Madison Collaborator: Ben Akers, PhD student p. 2/1 Summary Localized solitary waves exist in the
More informationCitation PHYSICAL REVIEW LETTERS (2009), Right 2009 The American Physical Societ
Statistical Properties of Direction Titlethe Modulational Instability in the Events Onorato, M.; Waseda, T.; Toffoli, A Author(s) O.; Janssen, P. A. E. M.; Kinoshita Osborne, A. R.; Serio, M.; Stansber
More informationStable One-Dimensional Dissipative Solitons in Complex Cubic-Quintic Ginzburg Landau Equation
Vol. 112 (2007) ACTA PHYSICA POLONICA A No. 5 Proceedings of the International School and Conference on Optics and Optical Materials, ISCOM07, Belgrade, Serbia, September 3 7, 2007 Stable One-Dimensional
More informationThe nonlinear wave-wave interaction term can be calculated in the wave-action balance equation (Lin et al., 2008) as
RAPID CALCULATION OF NONLINEAR WAVE-WAVE INTERACTIONS IN WAVE-ACTION BALANCE EQUATION Lihwa Lin 1, Zeki Demirbilek 1, Jinhai Zheng, and Hajime Mase 3 This paper presents an efficient numerical algorithm
More informationWave Turbulence and Condensation in an Optical Experiment
Wave Turbulence and Condensation in an Optical Experiment S. Residori, U. Bortolozzo Institut Non Linéaire de Nice, CNRS, France S. Nazarenko, J. Laurie Mathematics Institute, University of Warwick, UK
More informationStatistical properties of mechanically generated surface gravity waves: a laboratory experiment in a three-dimensional wave basin
J. Fluid Mech. (2009), vol. 627, pp. 235 257. c 2009 Cambridge University Press doi:117/s002211200900603x Printed in the United Kingdom 235 Statistical properties of mechanically generated surface gravity
More informationA Blade Element Approach to Modeling Aerodynamic Flight of an Insect-scale Robot
A Blade Element Approach to Modeling Aerodynamic Flight of an Insect-scale Robot Taylor S. Clawson, Sawyer B. Fuller Robert J. Wood, Silvia Ferrari American Control Conference Seattle, WA May 25, 2016
More informationDeliverable D1.2 Technical report with the characteristics of the models. Atmospheric model WRF-ARW
Deliverable D1.2 Technical report with the characteristics of the models Atmospheric model WRF-ARW The Weather Research and Forecasting (WRF) Model (http://www.wrf-model.org) is an advanced mesoscale numerical
More informationWave forecasting from R/V Sikuliaq cruise Sep 30 Nov 10
Wave forecasting from R/V Sikuliaq cruise Sep 30 Nov 10 Erick Rogers Naval Research Laboratory, Oceanography Division, Stennis Space Center, MS SeaState Modeling/Forecasting Workshop 1 WAM, WAVEWATCH III
More informationImpact of wind waves on the air-sea momentum fluxes for different wind and sea state conditions and oceanic response
Impact of wind waves on the air-sea momentum fluxes for different wind and sea state conditions and oceanic response Joanna Staneva, Heinz Günther, A. Behrens, O. Krüger, Corinna Schrum, (HZG, Germany)
More informationLinear Least Squares Fitting
Linear Least Squares Fitting Bhas Bapat IISER Pune Nov 2014 Bhas Bapat (IISER Pune) Linear Least Squares Fitting Nov 2014 1 / 16 What is Least Squares Fit? A procedure for finding the best-fitting curve
More informationGeostrophy & Thermal wind
Lecture 10 Geostrophy & Thermal wind 10.1 f and β planes These are planes that are tangent to the earth (taken to be spherical) at a point of interest. The z ais is perpendicular to the plane (anti-parallel
More informationDuration- and fetch-limited growth functions of wind-generated waves parameterized with three different scaling wind velocities
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 111, C02005, doi:10.1029/2005jc003180, 2006 Duration- and fetch-limited growth functions of wind-generated waves parameterized with three different scaling wind velocities
More informationMATH 125 Unit 2 1. B a
MATH 15 Unit 1 Unit Law of Sines and Law of osines 1 Derive and identify the Law of Sines and the Law of osines 1 Derive and identify the Law of Sines. NOTE: See the objective overview for the derivation.
More informationAnalysis of Finite Wordlength Effects
Analysis of Finite Wordlength Effects Ideally, the system parameters along with the signal variables have infinite precision taing any value between and In practice, they can tae only discrete values within
More informationTurbidity current flow over an obstacle and phases of sediment wave generation
Turbidity current flow over an obstacle and phases of sediment wave generation Michael E. Glinsky (CEO Science Leader) Moshe Strauss (Nuclear Research Center, Israel) Three Sisters -- aboriginal womans
More informationInternational Conference on Methods of Aerophysical Research, ICMAR 2008
International Conference on Methods of Aerophysical Research, ICMAR 8 EXPERIMENTAL STUDY OF UNSTEADY EFFECTS IN SHOCK WAVE / TURBULENT BOUNDARY LAYER INTERACTION P.A. Polivanov, А.А. Sidorenko, A.A. Maslov
More informationOn deviations from Gaussian statistics for surface gravity waves
On deviations from Gaussian statistics for surface gravity waves M. Onorato, A. R. Osborne, and M. Serio Dip. Fisica Generale, Università di Torino, Torino - 10125 - Italy Abstract. Here we discuss some
More informationAPPLICATION OF THE SPECTRAL WAVE MODEL SWAN IN DELAWARE BAY
APPLICATION OF THE SPECTRAL WAVE MODEL SWAN IN DELAWARE BAY BY WENTING QIN, JAMES T. KIRBY AND MOHSEN BADIEY RESEARCH REPORT NO. CACR-05-09 NOVEMBER 2005 This study was supported by the Delaware Sea Grant
More informationVariational ensemble DA at Météo-France Cliquez pour modifier le style des sous-titres du masque
Cliquez pour modifier le style du titre Variational ensemble DA at Météo-France Cliquez pour modifier le style des sous-titres du masque L. Berre, G. Desroziers, H. Varella, L. Raynaud, C. Labadie and
More informationConvection Patterns. Physics 221A, Spring 2017 Lectures: P. H. Diamond Notes: Jiacong Li
Convection Patterns Physics 1A, Spring 017 Lectures: P. H. Diamond Notes: Jiacong Li 1 Introduction In previous lectures, we have studied the basics of dynamics, which include dimensions of (strange) attractors,
More informationWAVE DYNAMICS AND ITS IMPACT TO WAVE CLIMATE PROJECTION
WAVE DYNAMICS AND ITS IMPACT TO WAVE CLIMATE PROJECTION Tomoya Shimura 1, Nobuhito Mori 2, Tomohiro Yasuda 2 and Hajime Mase 2 Impacts and adaptations of climate change have been studied in various fields.
More informationWaves on deep water, II Lecture 14
Waves on deep water, II Lecture 14 Main question: Are there stable wave patterns that propagate with permanent form (or nearly so) on deep water? Main approximate model: i" # A + $" % 2 A + &" ' 2 A +
More informationSea State Assimilation
Sea State Assimilation Peter A.E.M. Janssen, Saleh Abdalla, Jean-Raymond Bidlot and Hans Hersbach ECMWF Shinfield Park Reading, U.K. p.janssen@ecmwf.int ABSTRACT The prospect of global observations of
More informationControl of Mobile Robots Prof. Luca Bascetta
Control of Mobile Robots Prof. Luca Bascetta EXERCISE 1 1. Consider a wheel rolling without slipping on the horizontal plane, keeping the sagittal plane in the vertical direction. Write the expression
More informationNext is material on matrix rank. Please see the handout
B90.330 / C.005 NOTES for Wednesday 0.APR.7 Suppose that the model is β + ε, but ε does not have the desired variance matrix. Say that ε is normal, but Var(ε) σ W. The form of W is W w 0 0 0 0 0 0 w 0
More informationUNIT 5: DERIVATIVES OF EXPONENTIAL AND TRIGONOMETRIC FUNCTIONS. Qu: What do you remember about exponential and logarithmic functions?
UNIT 5: DERIVATIVES OF EXPONENTIAL AND TRIGONOMETRIC FUNCTIONS 5.1 DERIVATIVES OF EXPONENTIAL FUNCTIONS, y = e X Qu: What do you remember about exponential and logarithmic functions? e, called Euler s
More information( ) John A. Quinn Lecture. ESE 531: Digital Signal Processing. Lecture Outline. Frequency Response of LTI System. Example: Zero on Real Axis
John A. Quinn Lecture ESE 531: Digital Signal Processing Lec 15: March 21, 2017 Review, Generalized Linear Phase Systems Penn ESE 531 Spring 2017 Khanna Lecture Outline!!! 2 Frequency Response of LTI System
More informationWave turbulence in one-dimensional models
Physica D 152 153 (2001) 573 619 Wave turbulence in one-dimensional models V.E. Zakharov a,b, P. Guyenne c, A.N. Pushkarev d, F. Dias e, a Landau Institute for Theoretical Physics, Moscow, Russia b Department
More informationSemiempirical Dissipation Source Functions for Ocean Waves. Part I: Definition, Calibration, and Validation
VOLUME 40 J O U R N A L O F P H Y S I C A L O C E A N O G R A P H Y SEPTEMBER 2010 Semiempirical Dissipation Source Functions for Ocean Waves. Part I: Definition, Calibration, and Validation FABRICE ARDHUIN,*,1
More informationSergej S. Zilitinkevich 1,2,3. Helsinki 27 May 1 June Division of Atmospheric Sciences, University of Helsinki, Finland 2
Atmospheric Planetary Boundary Layers (ABLs / PBLs) in stable, neural and unstable stratification: scaling, data, analytical models and surface-flux algorithms Sergej S. Zilitinkevich 1,2,3 1 Division
More informationFigure 2. Time series of the standard deviation of spatial high pass filtered QuikSCAT wind stress (solid) and AMSR SST (dashed) for (top to bottom)
a) Figure 1. Spatial high pass filtered a) QuikSCAT wind stress (colors) and AMSR SST (contours), QuikSCAT wind stress divergence (colors) and AMSR downwind SST gradient (contours) and QuikSCAT wind stress
More informationLecture 13: Triad (or 3-wave) resonances.
Lecture 13: Triad (or 3-wave) resonances. Lecturer: Harvey Segur. Write-up: Nicolas Grisouard June 22, 2009 1 Introduction The previous lectures have been dedicated to the study of specific nonlinear problems,
More informationFDM for wave equations
FDM for wave equations Consider the second order wave equation Some properties Existence & Uniqueness Wave speed finite!!! Dependence region Analytical solution in 1D Finite difference discretization Finite
More informationUncommon (in)stability properties in the numerical method of characteristic applied to hyperbolic equations
University of Vermont ScholarWorks @ UVM Graduate College Dissertations and Theses Dissertations and Theses 2016 Uncommon (in)stability properties in the numerical method of characteristic applied to hyperbolic
More informationTurbulence and Energy Transfer in Strongly-Stratified Flows
Turbulence and Energy Transfer in Strongly-Stratified Flows James J. Riley University of Washington Collaborators: Steve debruynkops (UMass) Kraig Winters (Scripps IO) Erik Lindborg (KTH) First IMS Turbulence
More informationPARAMETRIC WAVE-BREAKING ON STEEP REEFS
PARAMETRIC WAVE-BREAKING ON STEEP REEFS Shih-Feng Su, Alex Sheremet and Jane McKee Smith A numerical model based on a nonlinear mild-slope equation, and modified to account for wave dissipation due to
More informationVerification of DMI wave forecasts 1st quarter of 2003
DANISH METEOROLOGICAL INSTITUTE TECHNICAL REPORT - Verification of DMI wave forecasts st quarter of Jacob Woge Nielsen dmi.dk Copenhagen ISSN -X ISSN - (trykt) (online) Verification of DMI wave forecasts
More informationLEVEL REPULSION IN INTEGRABLE SYSTEMS
LEVEL REPULSION IN INTEGRABLE SYSTEMS Tao Ma and R. A. Serota Department of Physics University of Cincinnati Cincinnati, OH 45244-0011 serota@ucmail.uc.edu Abstract Contrary to conventional wisdom, level
More informationROLL MOTION OF A RORO-SHIP IN IRREGULAR FOLLOWING WAVES
38 Journal of Marine Science and Technology, Vol. 9, o. 1, pp. 38-44 (2001) ROLL MOTIO OF A RORO-SHIP I IRREGULAR FOLLOWIG WAVES Jianbo Hua* and Wei-Hui Wang** Keywords: roll motion, parametric excitation,
More informationChemistry 24b Lecture 23 Spring Quarter 2004 Instructor: Richard Roberts. (1) It induces a dipole moment in the atom or molecule.
Chemistry 24b Lecture 23 Spring Quarter 2004 Instructor: Richard Roberts Absorption and Dispersion v E * of light waves has two effects on a molecule or atom. (1) It induces a dipole moment in the atom
More informationExperimental generalized contextuality with single-photon qubits: supplementary material
Experimental generalized contextuality with single-photon qubits: supplementary material XIANG ZHAN 1, ERIC G. CAVALCANTI 2, JIAN LI 1, ZHIHAO BIAN 1, YONGSHENG ZHANG 3,4*, HOWARD M. WISEMAN 2,5,, AND
More informationActive Infrared Thermography applied to detection and characterization of non emergent defects on asphalt pavement
Active Infrared Thermography applied to detection and characterization of non emergent defects on asphalt pavement J. Dumoulin,, L. Ibos,, M. Marchetti,, S. Ludwig, A. Mazioud Nantes, 30 th - 3 rd July
More information