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A Numerical Study of Wind Wave and Swell PO.ID by Using ...Prediction methods for both wind wave and...

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fE (m 2 ) f (Hz) B: 20-Jan. 4:40 10 -3 10 -2 10 -1 1 -- 10 1- 5×10 -2 10 -1 8×10 -1 10 -4 fE (m 2 ) f (Hz) A: 19-Jan. 4:40 Observation SWAN WW3 10 -1 1 -- 10 1- 10 -2 10 -3 5×10 -2 10 -1 8×10 -1 10 -4 fE (m 2 ) f (Hz) 17 Oct. 9:00 Mesoscale model Typhoon model Combined wind field 10 -3 10 -2 10 -1 1 10 1 - 10 -1 8×10 -1 10 -4 fE (m 2 ) f (Hz) C: 21-Jan. 4:40 10 -3 10 -2 10 -1 1 -- 10 1- 5×10 -2 10 -1 8×10 -1 10 -4 Predicted wave heights by using wind field obtained from mesoscale model are lower than those by typhoon model at the center of the typhoon. On the other hand, predicted wave heights using typhoon model become lower as the distance from the center of the typhoon is farther. Predicted wave heights by using combined wind field show close values of those by typhoon model near the center and those by mesoscale model for the region outside. It is noticed that the wave heights predicted by using combined wind field is a little higher than those by typhoon model, since the wave energy from wind in the center and outside of the typhoon is accumulated. 0 5 10 15 20 1/19 1/20 1/21 1/22 1/23 T 1/3 (s) A B C At the time of A (in the timeseries fig.), observed wave spectrum has a peak at the low frequency region, so called swell state. A Numerical Study of Wind Wave and Swell by Using Wave Prediction Models and Combined Wind Fields Jun Tanemoto and Takeshi Ishihara Department of Civil Engineering, School of Engineering, The University of Tokyo PO.ID 068 1. V. R. Swail and A. T. Cox, “On the Use of NCEPNCAR Reanalysis Surface Marine wind Fields for a Long-Term North Atlantic Wave Hindcast”, J. Atmos. Oceanic Technol., 17, 2000,pp. 532-545. 2. S. H. Ou, J. M. Liau, T.W. Hsu and S. Y. Tzang:“Simulating typhoon waves by SWAN wave model in coastal waters of Taiwan”, Ocean Eng., 29, 2002, pp.947-971. 3. J. Tanemoto and T. Ishihara, “Prediction of tropical cyclone induced wind field by using mesoscale model and JMA best track”, Proceedings of 8th Asia Pacific conference on Wind Engineering, 2013, pp.1362-1370. SWAN and WW3 are validated at Choshi offshore wind energy test site, which can be obtained observations of wave spectra. Numerical study for the prediction of wind wave and swell are conducted and following results are obtained. 1. Although predicted wave heights by SWAN show good agreement with observations, predicted wave periods are underestimated significantly due to underestimations of wave spectra in the low frequency range. WW3 predicts wave heights, periods and spectra correctly. 2. Predicted extreme wave height and period by using the wind field obtained from the mesoscale model underestimate tropical cyclone induced extreme wave height and period and these underestimations are improved by using the wind fields obtained from the typhoon model and the combined wind field. Validation of predicted waves by 3 wind fields Wave simulation Conclusions References EWEA Offshore 2015 Copenhagen 10-12 March 2015 Wave height H S and period T S are predicted as follows: where E(f, θ) is energy spectrum for frequency f and direction θ. Significant wave height H 1/3 and period T 1/3 are observed at both sites and following formula are used in this study for the comparison: Domain1 Domain2 Domain3 Domain4 Spin-up More than 10 days from the time peak wave height observed Horizontal resolutions 0.5° × 0.5° 0.2°×0.2° 0.05° 0.02° Bathymetry ETOPO2 ETOPO1 Sea surface boundary Mesoscale model NNRP (2.5°) WRF (18km) WRF (6km) WRF (2km) Typhoon model or Combined wind field Lateral boundary Open Nest down (2-way nesting) Spectrum resolutions 36 directions and 36 frequencies (0.0345~0.97Hz) Source terms S lin : Cavaleri and Malanotte-Rizzoli (1981) S nl : Hasselmann et al. (1985) S bot : Hasselmann et al. (1973) S db : Bettjes and Janssen (1987) S in + S ds for SWAN: Komen et al. (1984) S in + S ds for WW3: Tolman and Chalikov (1996) 0 4 S H m 1 0 S m T m , n n m fE f dfd 1/3 0.956 S H H 1/3 S T T Acknowledgment This research is carried out as a part of a project funded by The New Energy and Industrial Technology Development Organization (NEDO), Japan. The authors wish to express their deepest gratitude to the concerned parties for their assistance during this study. 0 1 2 3 4 5 1/19 1/20 1/21 1/22 1/23 H 1/3 (m) Observation SWAN WW3 A B C 0 2 4 6 8 10 12 14 10/16 10/17 10/18 10/19 10/20 10/21 H 1/3 (m) Observation Mesoscale model Typhoon model Combined wind field 0 5 10 15 20 10/16 10/17 10/18 10/19 10/20 10/21 T 1/3 (s) Predicted wave heights by using wind field obtained from mesoscale model underestimate observed wave height. These underestimations are improved by using typhoon model and combined wind field. Predicted wave periods by mesoscale model are also underestimated. In contrast, those by typhoon model are overestimated before the typhoon attacked the site. Validations of wind fields are conducted by using observed waves at NOWPHAS Nakagusuku bay, which are frequently attacked by strong tropical cyclones. Validation of the wave models Domains for the Chosih offshore site Domains for the Nakagusuku bay Configuration of the wave models Predicted wave heights by SWAN show good agreement with observations. However, wave periods are underestimated. On the other hand, both wave height and period can be predicted accurately by using WW3. Significant wave height Significant wave period Predicted wind and wave fields In the combined wind field model, predicted wind speeds by mesoscale model U M and typhoon model U T are combined by using following equations: r: the distance from the center of a typhoon R B : the typhoon outside boundary. 0.5 2 2 2 2 B B R r W R r 1 C T M U WU WU Two peaks wave spectrum is obtained at the time B, and decreasing T 1/3 with increase of wind wave. Finally, at the time of C, wind wave is well developed and high wave height is observed. It is fount that tredicted wave spectra by using SWAN significantly underestimate observations at low frequency (f < 0.1Hz) range. Hereafter, WW3 is used for wave simulations. Introduction Wave predictions are necessary for the design of offshore wind turbine. The waters around Japan, large swells are caused by waves propagated over Pacific ocean. Furthermore, not only large swells but also wind waves are induced by tropical cyclones. In the conventional studies, different wave models and wind fields for wave simulations have been proposed [1][2][3] . In this study, at first, the conventional wave models, SWAN and WAVEWATCH III (WW3), are validated. Then, tropical cyclone induced waves are predicted by using wind field obtained from mesoscale model, typhoon model and combined wind field. Prediction methods for both wind wave and swell are discussed through those numerical studies. The reason is underestimations of wind waves before the typhoon attacked. As a result, waves are generated by the only the swell by the typhoon far from the site. These overestimations are also improved by using combined wind field. Predicted maximum wave height and associated wave peiod in the 20 years by mesoscale model is underestimated. 2 5 10 20 50 100 0 5 10 15 20 -1 0 1 2 3 4 5 Annual maximum H 1/3 (m) Reduced variate -ln(-ln(F)) Observation Mesoscale model Typhoon model Combined wind field Fitting for observation Return period (year) Domain 2 Nakagusuku bay Domain 4 Domain 3 Domain 2 Choshi offshore site Domain 4 Domain 3 Obs. Mesoscale model Typhoon model Combined wind field H 1/3, 20 11.2m 7.3m (-34.8%) 12.0m (+7.1%) 12.4m (+10.7%) T 1/3, 20 14.7s 10.9s (-25.9%) 13.6s (-7.5%) 13.9s (-5.0%) These underestimation is improved by typhoon model and combined wind field. Extreme wave height and period Observed and predicted wave spectra Significant wave height Significant wave period Extreme distribution for wave height Combined wind field Mesoscale model Typhoon model 5×10 -2 5×10 -2 5×10 -2 5×10 -2 Predicted wave spectra
Transcript
Page 1: A Numerical Study of Wind Wave and Swell PO.ID by Using ...Prediction methods for both wind wave and swell are discussed through those numerical studies. The reason is underestimations

1E-4

1E-3

1E-2

1E-1

1E+0

1E+1

1E-2 1E-1

f・E

(m2)

f (Hz)

B: 20-Jan. 4:40

5E-2 8E-1

10-3

10-2

10-1

1--

101-

5×10-2 10-1 8×10-110-41E-4

1E-3

1E-2

1E-1

1E+0

1E+1

1E-2 1E-1

f・E

(m2)

f (Hz)

A: 19-Jan. 4:40 ObservationSWANWW3

5E-2 8E-1

10-1

1--

101-

10-2

10-3

5×10-2 10-1 8×10-110-4

1E-4

1E-3

1E-2

1E-1

1E+0

1E+1

1E-2 1E-1

f・E

(m

2)

f (Hz)

17 Oct. 9:00

Mesoscale modelTyphoon modelCombined wind field

5E-2 8E-1

10-3

10-2

10-1

1–

101

-

5×10-2 10-1 8×10-110-4

1E-4

1E-3

1E-2

1E-1

1E+0

1E+1

1E-2 1E-1

f・E

(m2)

f (Hz)

C: 21-Jan. 4:40

5E-2 8E-1

10-3

10-2

10-1

1--

101-

5×10-2 10-1 8×10-110-4

Predicted wave heights by using wind field obtained

from mesoscale model are lower than those by typhoon

model at the center of the typhoon. On the other hand,

predicted wave heights using typhoon model become

lower as the distance from the center of the typhoon is

farther. Predicted wave heights by using combined wind

field show close values of those by typhoon model near

the center and those by mesoscale model for the region

outside. It is noticed that the wave heights predicted by

using combined wind field is a little higher than those by

typhoon model, since the wave energy from wind in the

center and outside of the typhoon is accumulated.0

5

10

15

20

1/19 1/20 1/21 1/22 1/23

T1

/3(s

)

A B C

At the time of A (in the

timeseries fig.), observed

wave spectrum has a

peak at the low frequency

region, so called swell

state.

A Numerical Study of Wind Wave and Swell

by Using Wave Prediction Models and Combined Wind Fields

Jun Tanemoto and Takeshi Ishihara

Department of Civil Engineering, School of Engineering, The University of Tokyo

PO.ID

068

1. V. R. Swail and A. T. Cox, “On the Use of NCEP–NCAR Reanalysis Surface Marine

wind Fields for a Long-Term North Atlantic Wave Hindcast”, J. Atmos. Oceanic

Technol., 17, 2000,pp. 532-545.

2. S. H. Ou, J. M. Liau, T. W. Hsu and S. Y. Tzang:“Simulating typhoon waves by SWAN

wave model in coastal waters of Taiwan”, Ocean Eng., 29, 2002, pp.947-971.

3. J. Tanemoto and T. Ishihara, “Prediction of tropical cyclone induced wind field by using

mesoscale model and JMA best track”, Proceedings of 8th Asia Pacific conference on

Wind Engineering, 2013, pp.1362-1370.

SWAN and WW3 are

validated at Choshi

offshore wind energy test

site, which can be

obtained observations of

wave spectra.

Numerical study for the prediction of wind wave and

swell are conducted and following results are obtained.

1. Although predicted wave heights by SWAN show

good agreement with observations, predicted wave

periods are underestimated significantly due to

underestimations of wave spectra in the low

frequency range. WW3 predicts wave heights,

periods and spectra correctly.

2. Predicted extreme wave height and period by using

the wind field obtained from the mesoscale model

underestimate tropical cyclone induced extreme

wave height and period and these underestimations

are improved by using the wind fields obtained from

the typhoon model and the combined wind field.

Validation of predicted waves by 3 wind fields

Wave simulation

Conclusions

References

EWEA Offshore 2015 – Copenhagen – 10-12 March 2015

Wave height HS and period TS are predicted as follows:

where E(f, θ) is energy spectrum for frequency f and

direction θ. Significant wave height H1/3 and period T1/3

are observed at both sites and following formula are

used in this study for the comparison:

Domain1 Domain2 Domain3 Domain4

Spin-up More than 10 days from the time peak wave height observed

Horizontal

resolutions0.5° × 0.5° 0.2°×0.2° 0.05° 0.02°

Bathymetry ETOPO2 ETOPO1

Sea surface

boundary

Mesoscale model

NNRP (2.5°) WRF (18km) WRF (6km) WRF (2km)

Typhoon model or Combined wind field

Lateral boundary Open Nest down (2-way nesting)

Spectrum

resolutions

36 directions and 36 frequencies

(0.0345~0.97Hz)

Source terms

Slin: Cavaleri and Malanotte-Rizzoli (1981)

Snl: Hasselmann et al. (1985)

Sbot: Hasselmann et al. (1973)

Sdb: Bettjes and Janssen (1987)

Sin + Sds for SWAN: Komen et al. (1984)

Sin + Sds for WW3: Tolman and Chalikov (1996)

04SH m 1

0

S

mT

m ,

n

nm f E f dfd

1/3 0.956 SH H 1/3 ST T

Acknowledgment

This research is carried out as a part of a project funded

by The New Energy and Industrial Technology

Development Organization (NEDO), Japan. The authors

wish to express their deepest gratitude to the concerned

parties for their assistance during this study.

0

1

2

3

4

5

1/19 1/20 1/21 1/22 1/23

H1

/3(m

)

ObservationSWANWW3

A B C

0

2

4

6

8

10

12

14

10/16 10/17 10/18 10/19 10/20 10/21

H1

/3(m

)

ObservationMesoscale modelTyphoon modelCombined wind field

0

5

10

15

20

10/16 10/17 10/18 10/19 10/20 10/21

T1

/3(s

)

Predicted wave heights by using wind field obtained

from mesoscale model underestimate observed wave

height. These underestimations are improved by using

typhoon model and combined wind field.

Predicted wave periods by mesoscale model are also

underestimated. In contrast, those by typhoon model

are overestimated before the typhoon attacked the site.

Validations of wind fields

are conducted by using

observed waves at

NOWPHAS Nakagusuku

bay, which are frequently

attacked by strong

tropical cyclones.

Validation of the wave models

Domains for the

Chosih offshore site

Domains for the

Nakagusuku bay

Configuration of the wave models

Predicted wave heights by SWAN show good agreement

with observations. However, wave periods are

underestimated. On the other hand, both wave height

and period can be predicted accurately by using WW3.

Significant wave height Significant wave period

Predicted wind and wave fields

In the combined wind field model, predicted wind

speeds by mesoscale model UM and typhoon model UT

are combined by using following equations:

r: the distance from the center of a typhoon

RB: the typhoon outside boundary.

0.52 2

2 2

B

B

R rW

R r 1 C T MU WU W U

Two peaks wave spectrum is obtained at the time B, and

decreasing T1/3 with increase of wind wave. Finally, at

the time of C, wind wave is well developed and high

wave height is observed.

It is fount that tredicted wave spectra by using SWAN

significantly underestimate observations at low

frequency (f < 0.1Hz) range. Hereafter, WW3 is used for

wave simulations.

Introduction

Wave predictions are necessary for the design of

offshore wind turbine. The waters around Japan, large

swells are caused by waves propagated over Pacific

ocean. Furthermore, not only large swells but also wind

waves are induced by tropical cyclones.

In the conventional studies, different wave models and

wind fields for wave simulations have been

proposed[1][2][3]. In this study, at first, the conventional

wave models, SWAN and WAVEWATCH III (WW3), are

validated. Then, tropical cyclone induced waves are

predicted by using wind field obtained from mesoscale

model, typhoon model and combined wind field.

Prediction methods for both wind wave and swell are

discussed through those numerical studies.

The reason is

underestimations of wind

waves before the typhoon

attacked. As a result, waves

are generated by the only the

swell by the typhoon far from

the site. These

overestimations are also

improved by using combined

wind field.

Predicted maximum wave

height and associated

wave peiod in the 20 years

by mesoscale model is

underestimated.

2 5 10 20 50 100

0

5

10

15

20

-1 0 1 2 3 4 5

An

nu

al m

axim

um

H1

/3(m

)

Reduced variate -ln(-ln(F))

ObservationMesoscale modelTyphoon modelCombined wind fieldFitting for observation

Return period (year)

Domain 2

Nakagusuku bay

Domain 4

Domain 3

Domain 2

Choshi offshore site

Domain 4

Domain 3

Obs.Mesoscale

model

Typhoon

model

Combined

wind field

H1/3, 20 11.2m7.3m

(-34.8%)

12.0m

(+7.1%)

12.4m

(+10.7%)

T1/3, 20 14.7s10.9s

(-25.9%)

13.6s

(-7.5%)

13.9s

(-5.0%)

These underestimation

is improved by typhoon

model and combined

wind field.

Extreme wave height

and period

Observed and predicted wave spectra

Significant wave height

Significant wave period

Extreme distribution for wave height

Combined wind field

Mesoscale model

Typhoon model

5×10-2 5×10-2

5×10-2

5×10-2

Predicted wave spectra

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