Wind Input, Surface Dissipation and Directional Properties of Shoaling Waves Source Term Balance

1997 ◽  
Author(s):  
Robert E. Jensen
Keyword(s):  
Source Term ◽  
Input Surface ◽  
Wind Input ◽  
Shoaling Waves

Wind Input, Surface Dissipation and Directional Properties in Shoaling Waves

2000 ◽  
Author(s):  
Hans C. Graber ◽  
Mark A. Donelan ◽  
William M. Drennan ◽  
Fred W. Dobson
Keyword(s):  
Input Surface ◽  
Wind Input ◽  
Shoaling Waves

Wind Input, Surface Dissipation and Directional Properties in Shoaling Waves

1999 ◽  
Author(s):  
Hans C. Graber ◽  
Mark A. Donelan ◽  
William M. Drennan ◽  
Fred W. Dobson
Keyword(s):  
Input Surface ◽  
Wind Input ◽  
Shoaling Waves

Wind Input, Surface Dissipation and Directional Properties in Shoaling Waves

2001 ◽  
Author(s):  
Hans C. Graber ◽  
Mark A. Donelan ◽  
William M. Drennan ◽  
Fred W. Dobson
Keyword(s):  
Input Surface ◽  
Wind Input ◽  
Shoaling Waves

scholarly journals Balanced source terms for wave generation within the Hasselmann equation

2017 ◽  
Vol 24 (4) ◽  
pp. 581-597 ◽  
Author(s):  
Vladimir Zakharov ◽  
Donald Resio ◽  
Andrei Pushkarev
Keyword(s):  
Experimental Data ◽  
Numerical Simulation ◽  
Source Term ◽  
Similarity Analysis ◽  
Source Terms ◽  
Self Similarity ◽  
The World ◽  
Theoretical Predictions ◽  
Input Source ◽  
Wind Input

Abstract. The new Zakharov–Resio–Pushkarev (ZRP) wind input source term Zakharov et al.(2012) is examined for its theoretical consistency via numerical simulation of the Hasselmann equation. The results are compared to field experimental data, collected at different sites around the world, and theoretical predictions based on self-similarity analysis. Consistent results are obtained for both limited fetch and duration limited statements.

scholarly journals On ZRP wind input term consistency in Hasselmann equation

2016 ◽  
Author(s):  
Vladimir Zakharov ◽  
Donald Resio ◽  
Andrei Pushkarev
Keyword(s):  
Experimental Data ◽  
Time Domain ◽  
Source Term ◽  
Similarity Analysis ◽  
Self Similarity ◽  
The World ◽  
Theoretical Predictions ◽  
Input Source ◽  
Wind Input ◽  
Good Agreement

Abstract. The new ZRP wind input source term (Zakharov et al., 2012) is checked for its consistency via numerical simulation of Hasselmann equation. The results are compared to field experimental data, collected at different sites around the world, and theoretical predictions of self-similarity analysis. Good agreement is obtained for limited fetch and time domain statements.

Numerical Investigation of Spectral Evolution of Wind Waves. Part I: Wind-Input Source Function

2010 ◽  
Vol 40 (4) ◽  
pp. 656-666 ◽  
Author(s):  
K. N. Tsagareli ◽  
A. V. Babanin ◽  
D. J. Walker ◽  
I. R. Young
Keyword(s):  
Field Data ◽  
Source Function ◽  
Source Term ◽  
Wind Waves ◽  
The Novel ◽  
Spectral Evolution ◽  
Input Source ◽  
Wind Input ◽  
Strong Winds ◽  
Lake George

Abstract This paper is dedicated to the investigation and calibration of the parameterized form for the wind-input source term Sin proposed earlier on the basis of field observations at Lake George, Australia. The main objective of this study was to obtain spectral forms for the wind-input source function Sin, which incorporates the novel observation-based features and at the same time satisfies the important physical constraint that the total integrated wind input must agree with independently observed magnitudes of the wind stress. Within this approach, a new methodology, a dynamic self-adjusting routine, was developed for correction of the wind-input source function Sin. This correction involves a frequency-dependent adjustment to the growth rate γ( f ), based on extrapolations from field data. The model results also show that light winds require higher-rate adjustments of the wind input than strong winds.

scholarly journals Adjusting of Wind Input Source Term in WAVEWATCH III Model for the Middle-Sized Water Body on the Basis of the Field Experiment

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Alexandra Kuznetsova ◽  
Georgy Baydakov ◽  
Vladislav Papko ◽  
Alexander Kandaurov ◽  
Maxim Vdovin ◽  
...  
Keyword(s):  
Wind Speed ◽  
Field Experiment ◽  
Water Body ◽  
Source Term ◽  
Wind Waves ◽  
Surface Wind ◽  
Simulated Data ◽  
Wavewatch Iii ◽  
Input Source ◽  
Wind Input

Adjusting of wind input source term in numerical model WAVEWATCH III for the middle-sized water body is reported. For this purpose, the field experiment on Gorky Reservoir is carried out. Surface waves are measured along with the parameters of the airflow. The measurement of wind speed in close proximity to the water surface is performed. On the basis of the experimental results, the parameterization of the drag coefficient depending on the 10 m wind speed is proposed. This parameterization is used in WAVEWATCH III for the adjusting of the wind input source term within WAM 3 and Tolman and Chalikov parameterizations. The simulation of the surface wind waves within tuned to the conditions of the middle-sized water body WAVEWATCH III is performed using three built-in parameterizations (WAM 3, Tolman and Chalikov, and WAM 4) and adjusted wind input source term parameterizations. Verification of the applicability of the model to the middle-sized reservoir is performed by comparing the simulated data with the results of the field experiment. It is shown that the use of the proposed parameterizationCD(U10)improves the agreement in the significant wave heightHSfrom the field experiment and from the numerical simulation.

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