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Spectral wave modelling with TOMAWAC. Applications at regional and coastal scales Michel Benoit Professor at l’Ecole Centrale Marseille and researcher at IRPHE Institut de Recherche sur les Phénomènes Hors-Equilibre (UMR 7342, CNRS, Aix-Marseille Université, Ecole Centrale Marseille) Team SAO (Structures-Atmosphere-Ocean) [email protected] [email protected]

Spectral wave modelling with TOMAWAC. Applications at ... lieu du an... · density directional spectrum F(f,q,x,y,t) of wind-driven waves Applications from the oceanic domain to coastal

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Page 1: Spectral wave modelling with TOMAWAC. Applications at ... lieu du an... · density directional spectrum F(f,q,x,y,t) of wind-driven waves Applications from the oceanic domain to coastal

Spectral wave modelling with TOMAWAC.

Applications at regional and coastal scales

Michel BenoitProfessor at l’Ecole Centrale Marseille and researcher at IRPHE

Institut de Recherche sur les Phénomènes Hors-Equilibre

(UMR 7342, CNRS, Aix-Marseille Université, Ecole Centrale Marseille)

Team SAO (Structures-Atmosphere-Ocean)

[email protected]

[email protected]

Page 2: Spectral wave modelling with TOMAWAC. Applications at ... lieu du an... · density directional spectrum F(f,q,x,y,t) of wind-driven waves Applications from the oceanic domain to coastal

Models for sea-states and wind waves

Two main classes of models:

• Deterministic (phase resolving) wave models• Intra-wave resolution

• Able to resolve all details of wave trains (wave phase, shapes, etc.)

• Based on deterministic equations such as Berkhoff (ARTEMIS),

Boussinesq, Green-Naghdi, Euler, Laplace, etc.

• Phase-averaged wave models:• Consider only averaged properties of the wave field.

=> transformation of wave (variance or action) spectrum

• Spectral models: WAM, SWAN, WaveWatch, TOMAWAC

=> transformation of the distribution of wave heights

• Probabilistic models (less frequently used in practice)

Page 3: Spectral wave modelling with TOMAWAC. Applications at ... lieu du an... · density directional spectrum F(f,q,x,y,t) of wind-driven waves Applications from the oceanic domain to coastal

Processes OceanContinental

seasCoastal

zonePorts

Shoaling ++ +++ ++

Bathymetric refraction ++ +++ ++

Refraction by currents + ++

Diffraction / reflection + +++

Wind wave generation +++ +++ +

White capping +++ +++ +

Bathymetric breaking + +++

Bottom friction +++ ++

Quadruplet interactions +++ +++ +

Triplet interactions ++ +

Important physical processes

(based on Battjes, 1994)

TOMAWACARTEMIS

Page 4: Spectral wave modelling with TOMAWAC. Applications at ... lieu du an... · density directional spectrum F(f,q,x,y,t) of wind-driven waves Applications from the oceanic domain to coastal

The 3rd generation TOMAWAC code

Modelling the change, in time and in the spatial domain, of the variance

density directional spectrum F(f,q,x,y,t) of wind-driven waves

Applications from the oceanic domain to coastal zones

Unsteady forcing (winds) and environmental conditions (currents, sea

level).

q

f

V

F Full discretization of the

spectrum in (frequency,

direction) space.

Advanced models for

the physical processes

(various options are available)

(TELEMAC-based Operational Model Addressing Wave Computation)

Page 5: Spectral wave modelling with TOMAWAC. Applications at ... lieu du an... · density directional spectrum F(f,q,x,y,t) of wind-driven waves Applications from the oceanic domain to coastal

TOMAWAC main equations (1)

Compute the evolution of the variance spectrum F(f,q,x,y,t)

Wave propagation

(+ shoaling)

),,,,(.)()()()()(

tfyxQBf

BFf

BF

y

BFy

x

BFx

t

BFr

r

r q

q

q

Frequency changesRefraction

Source and sink terms

s

UkCgdU

t

d

dfr

..

2

1UyCgy qcos.

UxCgx qsin.

n

U

k

k

n

d

dk

q .

1

),,,,(.),,,,( tfyxFBtkkyxN ryx q 22

gCCB The wave action is written as with

Note the code uses the spectrum as a function on relative frequency.

Kinematics terms are obtained from the linear wave theory

Page 6: Spectral wave modelling with TOMAWAC. Applications at ... lieu du an... · density directional spectrum F(f,q,x,y,t) of wind-driven waves Applications from the oceanic domain to coastal

TOMAWAC main equations (2)

• The left hand side (LHS) is linear for describing wave propagation +

refraction + shoaling (effects of bathymetry and ambient currents)

• On the RHS there are several sink/source terms

(based on mathematical models or semi-empirical

parameterizations of the complex physics of waves)

trnlbrbfwcin QQQQQQQ

Generation Dissipation Transfers

wind input whitecapping bottom breaking quadruplets triads friction

Wave development under wind action

Shallow water effects

Page 7: Spectral wave modelling with TOMAWAC. Applications at ... lieu du an... · density directional spectrum F(f,q,x,y,t) of wind-driven waves Applications from the oceanic domain to coastal

Source terms (input of energy)

• Generation by wind (Janssen, 1991; Snyder et al., 1981 ; Yan, 1987)

Sink terms (dissipation of energy)

• White-capping(Komen et al., 1984 ; van der Westhuisen, 2007 )

• Bottom friction(Hasselmann et al., 1973; Bouws & Komen, 1983)

• Depth-induced breaking (Battjes & Janssen, 1978; Thornton & Guza, 1983;

Roelvink, 1993; Izumiya & Horikawa, 1984)

Transfer terms

• Quadruplet interactions

(DIA Hasselmann et al., 1985 ; MDIA, Tolman, 2004 ;

GQM exact method, 2009)

• Triad interactions

(LTA Eldebrky & Battjes, 1996; SPB Becq, 1998)

Shallow

water

Deep

waterInterm.

depth

Several formulations available

Physics: source and sink terms in TOMAWAC

Page 8: Spectral wave modelling with TOMAWAC. Applications at ... lieu du an... · density directional spectrum F(f,q,x,y,t) of wind-driven waves Applications from the oceanic domain to coastal

Discretizations used in TOMAWAC

• Unstructured grid in spatial domain (either Cartesian or spherical coordinates)

Triangular finite element mesh

• Structured grid in spectral domain

frequencies in geometric progression, evenly distributed directions

• Temporal discretization: constant time step

Two forcing options:- Wind fields over the whole domain

(varying in space and time)

- Incident wave conditions at the

boundaries (from a larger scale model)

Page 9: Spectral wave modelling with TOMAWAC. Applications at ... lieu du an... · density directional spectrum F(f,q,x,y,t) of wind-driven waves Applications from the oceanic domain to coastal

Réunion Island sea-state database (1/2)

Two nested TOMAWAC models

Coarse model (1019 nodes, 1919 elements):

Resolution: 40 km offshore, 3 km along the coasts

Time step: 240 s

Fine model (2474 nodes, 4687 elements):

Resolution: ~100 m along the coasts

Time step: 60 s

Forcing conditions: wind fields (10 m) and wave

spectra at boundaries both from ERA-Interim

reanalysis (ECMWF):

Time steps of 6 h

Resolution of ~0.7°(wind) and ~1°(wave spectra)

Time length: 20 years, from 01/01/1989 to 31/12/2008

N

Réunion

Island

Saint

Pierre

10 km

Buoy

Page 10: Spectral wave modelling with TOMAWAC. Applications at ... lieu du an... · density directional spectrum F(f,q,x,y,t) of wind-driven waves Applications from the oceanic domain to coastal

Réunion Island sea-state database (2/2)

Model calibration and validation

Reference to wave measurements of a buoy

located off Saint Pierre

Not-calibrated model: discrepancy between buoy

data and model results due to an overestimation

of the wave spectra at low significant wave

heights

Calibrated model: correction of the wave spectra

of the ERA Interim reanalysis

2001

0.5

1.5

2.5

3.5

4.5

5.5

31/03/01 30/04/01 30/05/01 30/06/01 30/07/01 30/08/01 29/09/01 29/10/01 29/11/01 29/12/01

Hm

0 (

m)

Buoy data Simulation results

Year 2001

0

1

2

3

4

5

0 1 2 3 4 5Hm0 TOMAWAC (m)

Hm

0 b

uo

y (

m)

.

not calibrated

calibrated

Page 11: Spectral wave modelling with TOMAWAC. Applications at ... lieu du an... · density directional spectrum F(f,q,x,y,t) of wind-driven waves Applications from the oceanic domain to coastal

Wave energy resource estimation

Mean monthly wave power over the Réunion finer

model domain

Mean monthly values of the

wave power off Saint Pierre,

at a different water depths

Spectral formulation of wave power (kW/m) :

1000/),(),(2

0 0

qq dfdfFhfcgP gW

Long-term and homogeneous time series

Characterization of the wave energy resource on annual, seasonal

and monthly basis

e

2

0me

2

0m

2

w TH49.0TH64

gP

Alternative wave power

formulation, valid in the deep

water case

Page 12: Spectral wave modelling with TOMAWAC. Applications at ... lieu du an... · density directional spectrum F(f,q,x,y,t) of wind-driven waves Applications from the oceanic domain to coastal

Sea-state simulation: other ocean energy

applicationsAccessibility studies:

Statistical analyses of the spectral parameter time series to evaluate the occurrence of

time windows necessary for installation, operation and maintenance.

Detailed local sea-state propagation modelsMean or extreme wave conditions issued from the database are set as boundary

conditions for more refined local models.

Paimpol-Bréhat tidal

turbine demonstration

farm project: detailed

sea-state propagation

model

©2007 SHOM. Realised with the

authorisation of SHOM.

Contract number 67/2007

Page 13: Spectral wave modelling with TOMAWAC. Applications at ... lieu du an... · density directional spectrum F(f,q,x,y,t) of wind-driven waves Applications from the oceanic domain to coastal

4/13/2017 13

Regional model for LMDCZ (Tomawac-Telemac2D-Sisyphe)(see presentation of Thong Nguyen, HCM City Univ. of Technology)

303,000 elements

Max = 9 km

Min = 8 m

Coastal = 2.5 km