Evolution of a narrowband spectrum of random surface gravity waves


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1 J. Fluid Mech. (3), vol. 478, pp.. c 3 Cambridge University Press DOI:.7/S66 Printed in the United Kingdom Evolution of a narrowband spectrum of random surface gravity waves By KRISTIAN B. DYSTHE, KARSTEN TRULSEN, HARALD E. KROGSTAD 3 AND HERVÉ SOCQUETJUGLARD Department of Mathematics, University of Bergen, Johs. Brunsgt., N58 Bergen, Norway SINTEF Applied Mathematics, P.O. Box 4 Blindern, N34 Oslo, Norway 3 Department of Mathematical Sciences, NTNU, N749 Trondheim, Norway (Received April and in revised form 7 August ) Numerical simulations of the evolution of gravity wave spectra of fairly narrow bandwidth have been performed both for two and three dimensions. Simulations using the nonlinear Schrödinger (NLS) equation approximately verify the stability criteria of Alber (978) in the twodimensional but not in the threedimensional case. Using a modified NLS equation (Trulsen et al. ) the spectra relax towards a quasistationary state on a timescale (ɛ ω ).Inthisstate the lowfrequency face is steepened and the spectral peak is downshifted. The threedimensional simulations show a powerlaw behaviour ω 4 on the highfrequency side of the (angularly integrated) spectrum.. Introduction It is wellknown that a uniform train of surface gravity waves is unstable to the socalled modulational instability or Benjamin Feir (BF) instability (Lighthill 965, 967; Whitham 967; Benjamin & Feir 967; Zakharov 968). The stability of nearly Gaussian random wave fields of narrow bandwidth was considered by Alber & Saffman (978), Alber (978) and Crawford, Saffman & Yuen (98). For waves on deep water they found that the modulational instability occurs provided that the relative spectral width, σ,isless than twice the average steepness, ɛ k a,wherek is the central wavenumber, and ā =(η ) / is the r.m.s. value of the amplitude. For deep water waves the results of Alber & Saffman (978) and Alber (978) are based on the nonlinear Schrödinger (NLS) equation, which is the lowestorder model equation in the relative spectral width and wave steepness that takes into account both dispersion and nonlinearity. It can be written ( ) B B i + v g + ( dvg B t x dk x + v ) g B ω k k y B B =, () where the surface elevation η is given by η = ( Be i(k x ω t) + B e i( ω t) + +c.c. ) () where B and B are slowly varying functions of x =(x,y) andt. Current address: Department of Mathematics, University of Oslo, P.O. Box 53 Blindern, N36 Oslo, Norway.
2 K. B. Dysthe, K. Trulsen, H. E. Krogstad and H. SocquetJuglard Alber (978) considers the case where B is a slowly varying, nearly Gaussian random function of x and t. Hedevelops a nonlinear transport equation for the ensembleaveraged envelope spectrum F (K, x,t)(where F dk =η = a ) centred around k =(k, ), where the wave vector is k = k + k K and K =(K x,k y ). The stability of a random homogeneous and stationary wave field with spectrum F (K) is then investigated, where F (K) istaken to have the Gaussian shape [ ( )] F (K) = η exp K x K y, (3) πσ x σ y σx σy and where σ x and σ y are the relative bandwidths in the x and ydirections, respectively. Alber s result for three dimensions is unfortunately somewhat difficult to interpret except for the case when the spectrum is symmetric around k (i.e. σ x = σ y σ ). In that case, a necessary and sufficient condition for stability is found to be σ>ɛ, (4) which is formally identical to the twodimensional condition of Alber & Saffman (978) and Alber (978). Crawford et al. (98) extended the work of Alber. Their starting point is the socalled Zakharov integral equation, which does not have any spectral limitations. They derive the corresponding transport equation governing the evolution of a nonhomogeneous random wave field, assuming the zerofourthorder cumulant hypotheses. By further taking the narrowband limit, i.e. evaluating the coupling coefficients in their integrodifferential equation at the central wave vector, they arrive at the same transport equation as Alber. To investigate the stability of narrowband random wavetrains, they choose a different initial spectrum, namely η F (K) = σ x σ y π ( )( ), (5) Kx + σx K y + σy where σ x and σ y are the halfwidths in the x andydirections, respectively. They find that the spectrum in (5) is stable provided that σ x > ɛ. (6) For the symmetric case σ x = σ y,the condition (6) is formally the same as Alber s condition (4) although the definitions of the σ,aswellastheshapeof the spectra, are quite different. Note also that the relative spectral width transversal to the main wave direction, σ y, does not enter the condition (6). These results suggest that narrowband spectra do not change on the timescale (ɛ ω ),which is the typical timescale for the BF instability and henceforth referred to as the BF timescale, provided that the relative spectral width exceeds a certain threshold. If this is the case, the spectral change should only occur on the much longer timescale (ɛ 4 ω ),i.e. the Hasselmann timescale (Hasselmann 96; Crawford et al. 98). To our knowledge these important results, though more than years old, have not been compared to experiments or numerical simulations. Previous simulations using the NLS equation have to some extent concentrated on the stability of Stokes waves, or the evolution of a few Fourier modes. Here the phenomena of recurrence or near recurrence appear, as thoroughly discussed by Yuen &Ferguson (978) for the twodimensional case. As the number of Fourier modes
3 Narrowband spectrum of surface gravity waves 3 increases (although they may be very small initially see Trulsen & Dysthe 997), the recurrence phenomenon disappears from the computational time horizon. In the threedimensional simulations to be presented here with more than 4 modes, the probability of seeing a near recurrence becomes vanishingly small. In the present paper we report numerical simulations on the evolution of narrowband spectra in two and three dimensions with four different numerical models: (i) the NLS equation (); (ii) the modified nonlinear Schrödinger (MNLS) equation of Dysthe (979) which includes terms to the next order in nonlinearity and bandwidth, assuming the relative spectral width to be of order ɛ; (iii) the broader bandwidth equation of Trulsen & Dysthe (996) which relaxes the bandwidth in the MNLS equation to be of order ɛ / ; (iv) the equation of Trulsen et al. () which extends the MNLS equation with exact linear dispersion. For the present applications we have found that the two extensions (iii) and (iv) of the MNLS equation give practically the same results as the MNLS equation, (ii), for the behaviour near the spectral peak, hence these results will collectively be referred to as MNLS in the following. The MNLS has been compared with wave tank experiments (Trulsen & Stansberg ) and shown to give excellent agreement up to times one order of magnitude larger than the BF timescale. The twodimensional results using the NLS equation only approximately confirm the stability conditions of Alber & Saffman (978) and Alber (978). They also show that an unstable spectrum relaxes, on the timescale of the BF instability, to a wider symmetrical spectrum that appears to be stable within the time horizon for the equation. The threedimensional NLS simulations, however, do not agree with the theoretical predictions. The initial spectral distributions spread out in both horizontal directions, regardless of whether they satisfy the Alber stability criterion or not. Also, for the threedimensional case, the spectral evolution takes place on the BF timescale. The MNLS simulations, on the other hand, show a somewhat different evolution both in two and three dimensions. Regardless of the initial spectral width, the spectra evolve on the BF timescale from an initial symmetrical form into a skewed shape with a downshift of the peak frequency. In three dimensions, the angularly integrated spectrum shows an evolution towards a powerlaw behaviour ω 4 on the highfrequency side.. The numerical simulations The NLS equation is given in (), while the higherorder equations can be found in Dysthe (979), Trulsen & Dysthe (996) and Trulsen et al. (), and are not reproduced here. Length and time are normalized with the characteristic wavenumber and frequency, k and ω = gk,respectively. We use the numerical method described by Lo & Mei (985, 987) with periodic boundary conditions in both horizontal directions. A uniform grid in the physical and wave vector planes with N x = N y = 8 points is employed. With a computational domain of 5 characteristic wavelengths in each horizontal direction, we set the discretization of the wave vector plane to be K x = K y =/5. However, we only employ the modes with relative bandwidth less than unity, K <. The physical plane has dimensions L x =π/ K x and L y =π/ K y,andhasthegrid points x j = L x j/n x, j =,,...,N x andy l = L y l/n y, l =,,...,N y.
4 4 K. B. Dysthe, K. Trulsen, H. E. Krogstad and H. SocquetJuglard In all simulations we start with the initial Gaussian bellshaped spectrum (3) with σ x = σ y = σ,orthecorresponding onedimensional form. Note that in the threedimensional simulations the spectrum has a small angular spread around the main wave direction, with a halfangle spread θ σ (approximately 6 and for σ =. and., respectively). For each sample simulation the Fourier components are initialized with random phases and a modulus proportional to the square root of the spectrum Kx K y ˆB mn () = ɛ exp ( (m K ) x) +(n K y ) exp iθ πσ 4σ mn, (7) where the random variables θ mn are uniformly distributed on the interval [, π). The physical amplitude B is obtained through the discrete Fourier transform B(x j,y l,t)= m,n ˆB mn (t) exp(i(m K x x j + n K y y l )). (8) In order to have a truly Gaussian initial condition, each Fourier coefficient should be chosen as an independent complex Gaussian variable with a variance proportional to the corresponding value of the spectrum. However, numerical experiments using complex Gaussian Fourier coefficients, unlike when using a uniformly distributed phase only, yielded virtually identical time evolutions of the spectrum. The spectra shown below are obtained as the squared modulus of the Fourier coefficients and, in addition, are ensemble averaged and smoothed. In the twodimensional simulations an ensemble of 5 independent simulations has been used, whereas for the threedimensional simulations only are used due to the long CPUtime involved. The averaged wavenumber spectra from the threedimensional simulations have therefore been smoothed with a moving average Gaussian bell with standard deviation.7 K x. In the simulations presented here we have taken the average steepness ɛ to be.. We have performed simulations with other values of the steepness and the results were quite similar. In particular, the relevant timescale for the spectral evolution was still found to be the BF scale, (ɛ ω ). Our computations conserve the total energy and momentum within the bandwidth constraint with high accuracy. We do not account for coupling with freewave Fourier modes outside the bandwidth constraint. In Trulsen & Stansberg () quantitative comparisons were made between simulations and wave tank experiments of longcrested bichromatic waves. It was found that while the NLS equation gave good quantitative comparisons with the experiments up to x (ɛ k ),thecorresponding range for the MNLS equation was x 5(ɛ k ).Translated to temporal, rather than spatial evolution, these numbers are t (ɛ ω ) and t (ɛ ω ),respectively. This suggests that the NLS equation can be reliably used up to the BF scale, while the MNLS equation can be reliably used an order of magnitude longer. We have taken the present MNLS simulations up to a maximum time t = (ɛ ω ),whichshould be in the domain in which the equations are reliable... Twodimensional simulations In the NLS simulations the Alber criterion σ>ɛforsuppression of the modulational instability is only approximately verified. Starting with the case σ<ɛ, wefindthat the spectrum broadens symmetrically until it reaches a quasi steady width. This
5 Narrowband spectrum of surface gravity waves 5 ( ) (a) 4 T p 4 T p 8 T p. (b) F (k) ε/σ (final) k.5..5 ε/σ (initial). Figure. Spectral evolution of the twodimensional NLS equation starting with an initial Gaussian spectrum. (a) The spectrum at four different times with initial width σ =. and steepness ɛ =.. (b) The relation between initial and final spectral widths:, prediction of Alber; +, numerical result. Here ɛ =.5. ( ) (a) 4 T p 35 T p 5 T p 8 ( ) 6 (b) T p 5 T p F (k) F (k) k k Figure. Spectral evolution of solutions of the MNLS equation. Gaussian initial spectrum with (a) σ =., ɛ =., and (b) σ =.3, ɛ =.. relaxation of the spectrum clearly takes place on the BFtimescale (ɛ ω ).This is illustrated in figure (a), where the initial parameters are ɛ =. andσ =.. Even for the case σ > ɛ there is still a small widening of the spectrum. This is shown in figure (b) illustrating the relation between the final spectral width (after the relaxation to a quasisteady state) and the initial width. The relative spectral width is here defined as { K F dk/ F dk} /. In the MNLS simulations, the initially symmetric Gaussian shape of the spectrum does not persist regardless of the initial spectral width. The spectrum evolves, on the timescale (ɛ ω ),towards a quasisteady state which has an asymmetrical shape with a steepening of the lowfrequency side and a widening of the highfrequency side and, consequently, a downshift of the spectral peak. This is shown in figure for the initial widths σ =. andσ =.3. This was overlooked in the initial version of the paper, and brought to our attention by Dr P Janssen.
6 6 K. B. Dysthe, K. Trulsen, H. E. Krogstad and H. SocquetJuglard Time = 95T p 7T p k y k y k y Figure 3. Evolution of an initially Gaussian spectrum for the threedimensional NLS equation. The contour interval is logarithmic (.5 db) covering 5 db. The cross indicates the directions of the most unstable BF modes, K y = ± / K x. Mori & Yasuda (, ) have found results qualitatively similar to ours. They use a numerical twodimensional model based on the full Euler equations. Starting from a Wallopstype spectrum they show that a widening takes place if the initial width is small... Threedimensional simulations In three dimensions the NLS simulations do not support the theoretical result of Alber (978). A considerable widening of the spectrum is seen in all our simulations regardless of the initial spectral width σ.whenσ < ɛ the spectrum flattens out almost to a plateau shape. When σ ɛ, the spectrum extends predominantly in the directions K y /K x = ± /,coinciding with the directions for the most unstable BF modulations (see also LonguetHiggins 976). This is shown in figure 3 where σ =. andɛ =.. For large times, we see that energy accumulates near the unit bandwidth constraint K =,and eventually renders the simulation invalid. Without the bandwidth constraint, Martin & Yuen (98) found that the NLS equation could suffer energy leakage to arbitrarily large Fourier modes along the diagonal directions. Figure 4 shows results of similar computations carried out using the MNLS equation. The initial spectral widths are σ =. intheupper row, and σ =. inthe lower row. In this case we see an asymmetric development with a downshift of the spectral peak, k p (i.e. k p <k )andanangular widening, mainly for k>k p. For the corresponding angularly integrated spectra shown in figure 5 some steepening is seen on the lowfrequency side, k<k p,while a powerlaw behaviour k.5 (corresponding to a power law ω 4 for the frequency spectrum) is seen on the highfrequency side, k>k p.itisalso interesting to note that the level of the k.5 line is apparently the same for the two cases. 3. Discussion The original intention of this work was to verify the theoretical results of Alber (978), that wave spectra broader than a certain threshold value (4) would not evolve on the BF timescale (ɛ ω ).Weanticipated that these results based on the NLS equation would also be valid for the MNLS equation. The NLS simulations only approximately verified Alber s result in two dimensions, while in three dimensions a widening of the spectra was seen regardless of the initial
7 Narrowband spectrum of surface gravity waves 7. Time =. 95T p. 7T p k y k y Figure 4. Spectral evolution with the MNLS equation. The contour interval.5 db down to 5 db. The steepness ε is equal to., and the spectral width is σ =. intheupper row, and σ =. inthelowerrow. Time = 95T p 7T p log (F) log (F).5 log (k).5.5 log (k).5.5 log (k).5 Figure 5. Evolution of the angularly integrated spectra corresponding to those in figure 4. The lines have slopes.5.
8 8 K. B. Dysthe, K. Trulsen, H. E. Krogstad and H. SocquetJuglard width, as explained above. The MNLS simulations were rather surprising. Regardless of the initial spectral width, the simulations show that narrow Gaussianshaped spectra quickly evolve into a quasistationary state with a downshifted spectral peak. In the threedimensional case a powerlaw behaviour k.5 (or ω 4 )abovethepeak is observed for the angularly integrated spectrum. The relaxation takes place on the BF timescale (ɛ ω ).Thistimescale is much faster than the (ɛ 4 ω ) timescale implied by the Hasselmann spectral evolution equation (Hasselmann 96). For arealistic ocean wave spectrum, the effects of wind input and dissipation by wave breaking are of course important for its evolution. For young waves these effects change the spectrum on a comparable or even faster timescale than the BF scale. Our simulations are restricted to fairly narrow spectra corresponding to a region around the spectral peak (carrying perhaps 8% or more of the total wave energy). For these waves the ratio of the efolding time, T e,duetowindinput, to the peak period T p depends strongly on the wave age. From a semiempirical formula for the wind growth due to Hsiao & Shemdin (983) we find that T e T p 3 (.85(U /C p )cosθ ) (9) where θ is the angle between the phase velocity and the wind. Using (9) we find that T e /T p > when the wave age C p /U >.4. For long storm waves on the open ocean T e may thus be considerably longer than the relaxation time of the order of T p that we find. Thus, the fact that the wind input is absent in our simulations seems consistent provided that the wave age is not too small. The spectral evolution also shows realistic features like the steepening of the lowfrequency part (ω <ω p )andthepowerlaw behaviour for the highfrequency part (ω >ω p ), with acorresponding frequency downshift. For the longterm consistent downshift of a realistic wave spectrum, however, we believe that the wind input and dissipation are essential. After the submission of our paper, our results were presented at the WISE (Waves In Shallowwater Environments) meeting in Bergen, Norway, May 3,. Interestingly, similar twodimensional results were also presented by Peter Janssen (see Janssen ) using the NLS and the Zakharov integral equations, and by Miguel Onorato et al. (see Onorato et al. ) in three dimensions using the full Euler equations (they demonstrated the powerlaw behaviour k 5/ to occur for a much wider spectral range than shown in the present paper). As some of the same conclusions have been reached through three independent efforts using three different model equations, we believe that these results are important and not the consequence of a particular choice of wave model. It is not obvious how these results can be reconciled with the Hasselmann picture, however. Janssen (983) showed that the approximation to the Hasselmann equation given by Dungey & Hui (979) for narrowband spectra can be derived from the MNLS equations using the same statistical assumptions as Hasselmann. It is perhaps worth noting that the zerocumulant hypotheses implied by the approximate multivariate complex Gaussian property of the Fourier coefficients, and necessary for the derivation of Hasselmann s equation, may not be realistic in the present case. Even if the initial Fourier coefficients are chosen to be independent complex Gaussian variables, the nonlinear deterministic simulation will couple the Fourier coefficients and destroy their Gaussian property. Also, the homogeneity in time and space assumed
9 Narrowband spectrum of surface gravity waves 9 in the Hasselmann treatment may not be realistic. The twodimensional theoretical and simulation results by Janssen referred to above seem to indicate that the deviation from the Gaussian property is more important than nonhomogeneity. We find, by making longer simulations than those shown above, that even after the spectrum has relaxed to the new shape there is still a very slow change. It is not possible for us to decide whether this indicates an evolution as predicted by the Hasselmann equation, as the time horizon for our numerical model is too limited. This research has been supported by the BeMatA program of the Research Council of Norway (3977/43), by Norsk Hydro, by the European Union through the EnviWave project (EVG CT ) and by Statoil. REFERENCES Alber, I. E. 978 The effects of randomness on the stability of twodimensional surface wavetrains. Proc. R. Soc. Lond. A 363, Alber, I. E. & Saffman, P. G. 978 Stability of Random nonlinear deep water waves with finite bandwidth spectrum.twr Defense and Spacesystems Group Rep RU. Benjamin, T. B. &Feir,J.E.967 The disintegration of wave trains on deep water. Part. Theory. J. Fluid Mech. 7, 473. Crawford, D. R., Saffman, P. G. & Yuen, H. C. 98 Evolution of a random inhomogeneous field of nonlinear deepwater gravity waves. Wave Motion,. Dungey, J. C. & Hui, W. H. 979 Nonlinear energy transfer in a narrow gravitywave spectrum. Proc. R. Soc. Lond. A 368, 395. Dysthe, K. B. 979 Note on a modification to the nonlinear Schrödinger equation for application to deep water waves. Proc. R. Soc. Lond. A 369, 5. Hasselmann, K. 96 On the nonlinear energy transfer in a gravitywave spectrum. Part. General theory. J. Fluid Mech., 48. Hsiao, G. C. & Shemdin, O. H. 983 Measurements of wind velocity and pressure with a wave follower during MARSEN. J. Geophys. Res. 88, Janssen, P. A. E. M. 983 On a fourthorder envelope equation for deepwater waves. J. Fluid Mech. 6,. Janssen, P. A. E. M. Nonlinear four wave interaction and freak waves. ECMWF Tech. Mem. Lighthill, M. J. 965 Contribution to the theory of waves in nonlinear dispersive systems. J. Inst. Maths Applics., 696. Lighthill, M. J. 967 Some special cases treated by the Whitham theory. Proc. R. Soc. Lond. A 99, 83. Lo, E. & Mei, C. C. 985 A numerical study of waterwave modulation based on a higherorder nonlinear Schrödinger equation. J. Fluid Mech. 5, Lo, E. Y.& Mei, C. C. 987 Slow evolution of nonlinear deep water waves in two horizontal directions: A numerical study. Wave Motion 9, 459. LonguetHiggins, M. S. 976 On the nonlinear transfer of energy in the peak of a gravity wave spectrum: a simplified model. Proc. R. Soc. Lond. A 347, 38. Martin, D. U.& Yuen, H. C. 98 Quasirecurring energy leakage in the twospacedimensional nonlinear Schrödinger equation. Phys. Fluids 3, Mori, D. & Yasuda, T. Effects of highorder nonlinear interactions on gravity waves. Proc. Rogue Waves (ed. M. Olagnon & G. Athanassoulis). Mori, D. & Yasuda, T. Effects of highorder nonlinear interactions on unidirectional wave trains. Ocean Engng 9, 335. Onorato, M., Osborne, A. R., Serio, M., Resio, D., Pushkarev, A., Zakharov, V. & Brandini, C. Freely decaying weak turbulence for sea surface waves. Phys. Rev. Lett. 89(4), art. no Trulsen, K. & Dysthe, K. B. 996 A modified nonlinear Schrödinger equation for broader bandwidth gravity waves on deep water. Wave Motion 4, 8 89.
10 K. B. Dysthe, K. Trulsen, H. E. Krogstad and H. SocquetJuglard Trulsen, K., Kliakhandler, I., Dysthe, K. B. & Velarde, M. G. On weakly nonlinear modulation of waves on deep water. Phys. Fluids, Trulsen, K. & Stansberg, C. T. Spatial evolution of water surface waves: Numerical simulation and experiment of bichromatic waves. In Proc. ISOPE 3, Whitham, G. B. 967 Nonlinear dispersion of water waves. Proc. R. Soc. Lond. A 99, 6. Yuen, H. C. & Ferguson, W. E. 978 Relationship between Benjamin Feir instability and recurrence in the nonlinear Schrödinger equation. Phys. Fluids, Zakharov, V. E. 968 Stability of periodic waves of finite amplitude on the surface of deep water. Zh. Prikl. Mekh. Tekh. Fiz. 9, (English transl. J. Appl. Mech. Tech. Phys. 9, 9 94.)
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