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SWAN Advanced Course 
1. General introduction to waves and wave modelling 
Delft Software Days 
28 October 2014, Delft 
28 Oct 2014
Introduction 
- Waves 
- SWAN wave model 
- SWAN North Sea 
N c c 
t 
w 
N N c N c N S 
w w w w
V V T T V 
w x y 
x y 
w w w w 
Delft Software Days 28 Oct 2014 2
Waves 
k=1/L 
Delft Software Days 28 Oct 2014 3
Waves 
Type of wave Typical period [s] Cause 
Tide 5*104 s = 12 hr moon, sun 
Tsunami 104 s = 3 hr earthquake 
Seiches 103 s = 20 min cold front 
Surfbeat 102 s = 2 min wave groups 
Swell 15 – 20 s storms far away 
Wind waves (“Sea”) 2 – 10 s wind 
Capillary waves 0.1 s turbulence in wind 
Delft Software Days 28 Oct 2014 4
Waves 
Wave generation: by wind 
Propagation: shoaling, refraction, reflection, diffraction 
Transformation: non linear wave-wave interactions 
Dissipation: breaking, whitecapping, bottom friction 
Figure courtesy Holthuijsen (TU-Delft) 
Delft Software Days 28 Oct 2014 5
Waves 
Delft Software Days 28 Oct 2014 6
wave harmonic frequencies wave 
record analysis spectrum 
 ¦
N 
K ( t ) a sin 2 
S f t M 
1 
i i i 
i 
  
In the limit for N o f 
E(f): variance density spectrum [m2/Hz] 
Eenergy(f) : energy density spectrum = ȡ * g * E(f) 
Delft Software Days 28 Oct 2014 7
Waves 
HE10 sometimes called ‘swell’ 
Rather: low frequency wave height 
Tp = peak period (=1/peak frequency) 
Delft Software Days 28 Oct 2014 8
Empirical forms based on fetch-limited observations 
ª § · º 
( ) 2 exp 5
« ¨ ¸ » « ¨ ¸ » ¬ © ¹ ¼ 	
 
for 
for 
p 
p 
f 
  «¬ »¼ 
f f 
f f 
V 
V 
a p 
b p 
V 
­ d 
  ® ! ¯
2 
ª  º  « » 
« 2 2 
» 
4 exp 
2 4 5 2 
4 
Pierson-Moskowitz spectrum 
V 
D S J 
p 
f 
E f g f f f 
f 
JONSWAP 
  1 , D p 
p 
f 
T 
Standard values: 
From input: 
J   3.3,V   0.07,V   0.09 a b 
determined from Hs 
Waves 
Delft Software Days 28 Oct 2014 9
Waves 
0.4 
0.35 
0.3 
0.25 
0.2 
0.15 
0.1 
0.05 
0 
-0.05 
Swell 
m = 
100 
Direction 
wind sea 
m = 4 
m 
[-] 
one sided 
directional 
spreading 
[°] 
Type 
1 37.5 
4 24.9 wind sea 
15 14.2 
60 7.3 
100 5.7 swell 
800 2 
E( f ,T )   E( f )D( f ,T ) 
( ,T )   cosm T T ( )
mean D f A f 
Delft Software Days 28 Oct 2014 10
Waves 
Delft Software Days 28 Oct 2014 11
SWAN 
Ec 
Tw  w
T 
w
w 
 w c E
w x w y w 
E cE S 
x y 
t 
offshore waves 
bathymetry 
wind 
waterlevel 
Delft Software Days 28 Oct 2014 12
SWAN 
action density (instead of energy density) 
propagation refraction 
Sin = wind input 
Snl = non linear wave-wave interactions 
Sds = dissipation 
Source 
terms 
frequency 
shift 
(currents) 
Delft Software Days 28 Oct 2014 13
SWAN 
Sin (V,T) = A + B E(V,T) 
•Linear wave growth: Caveleri and Malanotte-Rizzoli (1981): 
A = A (V,T,Tw,U*) 
•Exponential wave growth 
Delft Software Days 28 Oct 2014 
u 
14
SWAN 
Sin (V,T) = A + B E(V,T) 
•Exponential wave growth: 
• Komen et al. (1984), Snyder et al. (1981) [WAM-cycle3] 
ª U 
­° ½°º   « ®   ¾» 
U 
c 
max 0, 0.25 28 * cos
1 
a 
w h s 
U 
w 
«¬ °¯ p a e 
°¿»¼ 
B 
• Janssen (1989, 1991) [WAM-cycle4] 
T T V 
• Westhuysen (from Yan 1987, but with refitted coefficients D,E,F,H) 
Delft Software Days 28 Oct 2014
2 
* max 0 , cos 2 
UE 
T T V 
U 
§ · 
  ¨¨ ¸¸ ª¬  º¼ 
© phase ¹ 
a 
w 
w 
U 
c 
B 
15
SWAN 
2 2 
* D 10 U10 is input to SWAN U   C U 
­° ˜  
3 
U 
   ® °¯ 
 ˜ t 1.2875 10 for 7.5m/s
10 
D 0.8 0.065 10  
3 
for 7.5 m/s 
10 10 
C 
U U 
Wu (1982): 
Zijlema et al. (CE 2012): 
0.55 2.97 i 1.49 i2
10 3 D C 
   U  U ˜  
i 
10 , 31.5m/s ref ref U  U U U   
Delft Software Days 28 Oct 2014 
16
SWAN 
2 2 
* D 10 U10 is input to SWAN U   C U 
Delft Software Days 28 Oct 2014 17

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DSD-INT 2014 - SWAN Advanced Course - 01 - General introduction to waves and wave modelling

  • 1. SWAN Advanced Course 1. General introduction to waves and wave modelling Delft Software Days 28 October 2014, Delft 28 Oct 2014
  • 2. Introduction - Waves - SWAN wave model - SWAN North Sea N c c t w N N c N c N S w w w w
  • 3. V V T T V w x y x y w w w w Delft Software Days 28 Oct 2014 2
  • 4. Waves k=1/L Delft Software Days 28 Oct 2014 3
  • 5. Waves Type of wave Typical period [s] Cause Tide 5*104 s = 12 hr moon, sun Tsunami 104 s = 3 hr earthquake Seiches 103 s = 20 min cold front Surfbeat 102 s = 2 min wave groups Swell 15 – 20 s storms far away Wind waves (“Sea”) 2 – 10 s wind Capillary waves 0.1 s turbulence in wind Delft Software Days 28 Oct 2014 4
  • 6. Waves Wave generation: by wind Propagation: shoaling, refraction, reflection, diffraction Transformation: non linear wave-wave interactions Dissipation: breaking, whitecapping, bottom friction Figure courtesy Holthuijsen (TU-Delft) Delft Software Days 28 Oct 2014 5
  • 7. Waves Delft Software Days 28 Oct 2014 6
  • 8. wave harmonic frequencies wave record analysis spectrum ¦
  • 9. N K ( t ) a sin 2 S f t M 1 i i i i In the limit for N o f E(f): variance density spectrum [m2/Hz] Eenergy(f) : energy density spectrum = ȡ * g * E(f) Delft Software Days 28 Oct 2014 7
  • 10. Waves HE10 sometimes called ‘swell’ Rather: low frequency wave height Tp = peak period (=1/peak frequency) Delft Software Days 28 Oct 2014 8
  • 11. Empirical forms based on fetch-limited observations ª § · º ( ) 2 exp 5
  • 12. « ¨ ¸ » « ¨ ¸ » ¬ © ¹ ¼ for for p p f «¬ »¼ f f f f V V a p b p V ­ d ® ! ¯
  • 13. 2 ª º « » « 2 2 » 4 exp 2 4 5 2 4 Pierson-Moskowitz spectrum V D S J p f E f g f f f f JONSWAP 1 , D p p f T Standard values: From input: J 3.3,V 0.07,V 0.09 a b determined from Hs Waves Delft Software Days 28 Oct 2014 9
  • 14. Waves 0.4 0.35 0.3 0.25 0.2 0.15 0.1 0.05 0 -0.05 Swell m = 100 Direction wind sea m = 4 m [-] one sided directional spreading [°] Type 1 37.5 4 24.9 wind sea 15 14.2 60 7.3 100 5.7 swell 800 2 E( f ,T ) E( f )D( f ,T ) ( ,T ) cosm T T ( )
  • 15. mean D f A f Delft Software Days 28 Oct 2014 10
  • 16. Waves Delft Software Days 28 Oct 2014 11
  • 18. T w
  • 19. w w c E
  • 20. w x w y w E cE S x y t offshore waves bathymetry wind waterlevel Delft Software Days 28 Oct 2014 12
  • 21. SWAN action density (instead of energy density) propagation refraction Sin = wind input Snl = non linear wave-wave interactions Sds = dissipation Source terms frequency shift (currents) Delft Software Days 28 Oct 2014 13
  • 22. SWAN Sin (V,T) = A + B E(V,T) •Linear wave growth: Caveleri and Malanotte-Rizzoli (1981): A = A (V,T,Tw,U*) •Exponential wave growth Delft Software Days 28 Oct 2014 u 14
  • 23. SWAN Sin (V,T) = A + B E(V,T) •Exponential wave growth: • Komen et al. (1984), Snyder et al. (1981) [WAM-cycle3] ª U ­° ½°º « ® ¾» U c max 0, 0.25 28 * cos
  • 24. 1 a w h s U w «¬ °¯ p a e °¿»¼ B • Janssen (1989, 1991) [WAM-cycle4] T T V • Westhuysen (from Yan 1987, but with refitted coefficients D,E,F,H) Delft Software Days 28 Oct 2014
  • 25. 2 * max 0 , cos 2 UE T T V U § · ¨¨ ¸¸ ª¬ º¼ © phase ¹ a w w U c B 15
  • 26. SWAN 2 2 * D 10 U10 is input to SWAN U C U ­° ˜ 3 U ® °¯ ˜ t 1.2875 10 for 7.5m/s
  • 27. 10 D 0.8 0.065 10 3 for 7.5 m/s 10 10 C U U Wu (1982): Zijlema et al. (CE 2012): 0.55 2.97 i 1.49 i2
  • 28. 10 3 D C U U ˜ i 10 , 31.5m/s ref ref U U U U Delft Software Days 28 Oct 2014 16
  • 29. SWAN 2 2 * D 10 U10 is input to SWAN U C U Delft Software Days 28 Oct 2014 17
  • 30. SWAN Whitecapping is represented by pulse-based model of Hasselmann (1974), reformulated in terms of wave number (for applicability in finite-water S k E V ,T
  • 32. wcap k · * C § ¨ ·§ 1 G
  • 33. G k s ¸¨ ¸ © ¹© ¹ p ds PM k s 2.36˜105 ,G 0, 4 dsC p depth) by Komen et al. (1984): with Tunable coefficients: • Komen et al. (1984, WAM-cycle3) : • Janssen (1992, WAM-cycle4): 4.10˜105 ,G 0.5, 4 dsC p Delft Software Days 28 Oct 2014 18
  • 34. SWAN n q § · § · ¨ ¸ ¨ ¸ S C k s E Komen et al. (1984): ( V , T ) V ( V , T ) s k E wc ds tot S k E q or p =4 (tuned) n variable, to be set with į. © ¹ © PM ¹ k s · * C § ¨ ·§ 1 G
  • 35. G k s ¸¨ ¸ © ¹© ¹ If į=0 - n=1 - was default until 2013 If į=1 - n=2 - more dissipation for larger k so more energy at lower frequencies (larger T) ‘Rogers’, default since 2013 p ds PM k s V ,T
  • 37. wcap k Delft Software Days 28 Oct 2014 19
  • 38. Saturation-based whitecapping n q § · § · ¨ ¸ ¨ ¸ S C k s E ( , ) ( , ) V T V V T Komen ds k s © ¹ © PM ¹ tot , s k E Saturation based whitecapping by Van der Westhuysen et al. (2007), related to nonlinear hydrodynamics within wave groups : ( ) 3 ( ) g B k c k E V ª ( ) º / 2 ( , ) ( , ) S C B k g 1 2 k 1 2 E p « » V T V T Break ds r B ¬ ¼ ,
  • 39. , ( , ) ( ) 1 ( ) wc SB br Break br non break S V T f V S f V S ˜ ˜ 1 1 1 ( ) 2 ( ) tanh 10 1 f B k 2 2 br B r V § ª º · ¨ « » ¸ ¨ ¬ ¼ ¸ © ¹ *p f u § · ¨ ¸ c © ¹ Komen et al. (1984): Adjusted by Van der Westhuysen (2007): Delft Software Days 28 Oct 2014 20
  • 40. SWAN Delft Software Days 28 Oct 2014 21
  • 41. SWAN Bottom friction ‘Jonswap formulation’ 2 V
  • 42.
  • 43.
  • 44. V T V T bot bottom S C E 2 2 , , g kd sinh 2 3 2 3 0.038 m s (swell) 0.067 m s (fully-developed sea) ­ ®¯ bottom C now default was default (till 2013) Delft Software Days 28 Oct 2014 22
  • 45. SWAN North Sea SWAN North Sea within FEWS Delft Software Days 28 Oct 2014 23
  • 46. SWAN North Sea Grid 1 (DCSM) Rectangular Area: 1500 km x 1700 km Cell size: 3.6 km x 3.6 km Grid 2 (ZUNO) Curvilinear Area: 770 km x 750 km Cell size: 200 m - 2 km x 200 m - 2 km Delft Software Days 28 Oct 2014 24
  • 47. SWAN North Sea In FEWS every 6 hour: Ɣ SWAN-DCSM and SWAN-ZUNO Ɣ Results in FEWS Spectral wave boundary conditions for SWAN-DCSM: WAM model by ECMWF (30 freq x 24 dir) 0:00 6:00 12:00 18:00… dt = 6 hr Wind (equal for SWAN-ZUNO and SWAN-DCSM): HIRLAM11-v7.2 model 0:00 6:00 12:00 18:00… dt = 1hr Waterlevels: WAQUA DCSMv6 (rectangular) 0:00 6:00 12:00 18:00… dt = 1hr Currents (SWAN-ZUNO only): WAQUA DCSMv6 0:00 6:00 12:00 18:00… dt = 1hr Bathymetry: based on WAQUA DCSMv6 and ZUNOv4 Delft Software Days 28 Oct 2014 25
  • 48. SWAN North Sea ca.5 km 2013: MV2 Delft Software Days 28 Oct 2014 26
  • 49. SWAN North Sea SWAN validation based on operational runs Nov 2012 – April 2013 Delft Software Days 28 Oct 2014 27
  • 50. SWAN North Sea Komen; delta=0 (presently in SWAN North Sea) Westhuysen Komen; delta=1 (present default in SWAN) Observation - - SWAN ZUNO SWAN DCSM Delft Software Days 28 Oct 2014 28
  • 51. SWAN North Sea Delft Software Days 28 Oct 2014 29