Development of an inverse estimation method of sea surface drag coefficient under strong wind conditions

Proceedings of the Coastal Engineering Conference

Volumn , Issue , 2010, Pages

  Yokota, Masaki ^a   Hashimoto, Noriaki ^a   Kawaguchi, Koji ^b   Kawai, Hiroyasu ^b  

^a KYUSHU UNIVERSITY   (Japan)

^b PORT AND AIRPORT RESEARCH INSTITUTE   (Japan)

Author keywords

Adjoint WAM; Data assimilation; Sea surface drag coefficient

Indexed keywords

ADJOINTS; CONTROL VARIABLE; DATA ASSIMILATION; DATA ASSIMILATION METHODS; DEEP SEA; INVERSE ESTIMATION; OBSERVATION DATA; SEA SURFACES; STRONG WINDS; TWIN EXPERIMENTS; UNKNOWN PARAMETERS; WAVE PREDICTION MODELS;

COASTAL ENGINEERING; DATA PROCESSING; ENERGY TRANSFER; EXPERIMENTS;

DRAG COEFFICIENT;

EID: 84864459642     PISSN: 01613782     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Andreas E. L.: An algorithm to predict the turbulent air-sea fluxes in high-wind, spray conditions, 12th Conf. on interaction of sea and atmosphere, CD-ROM, 3.4.
2. Giering, R. 1995. The Adjoint Model Compiler, MPI report.
3. Hersbach, H. (1998): Application of the adjoint of the WAM model to inverse wave modeling, J. Geophys. Res. Vol.103, (C5), pp.10469-10487.
4. Powell, M.D., Vickery, P.J and T.A. Reinhold (2003): Reduced drag coefficient for high wind speeds in tropical cyclones, Nature, 422, pp.279-283
5. Hashimoto, N and K. Matsuura, Evaluation of cost function in wave data assimilation with WAM Proc. 6th Int. Conf. Hydrodynamics VI, Theory and applications, pp.199-204., 2004.01.
6. Hashimoto, N., K. Matsuura, T. Nagai, H. Kawai. 2007. Application of Adjoint WAM to NOWPHAS Wave Observation Network for Establishment of Reasonable Observation Network, Proc. 30th Int. Conf. Coastal Eng. 'Coastal Engineering 2006', Vol.1, 565-577.
7. Hashimoto, N., K. Matsuura, H. Kawai, Attempt for Accuracy Improvement of Wave Hindcasting/Forecasting in Coastal Sea and Inner Sea by Data Assimilation, Proc. 31th Int. Conf. Coastal Eng. 'Coastal Engineering 2008', 2009.05
8. Hersbach H. and Janssen P.A.E.M. 1999. Improvement of the Short Fetch Behavior in the WAM model, J. Atmos. Ocean. Techn., 16, pp.884-892.
9. Holthuijsen, L. H. et at. 2000. SWAN Cycle III version 40.11, USER MANUAL, Delft University of Technology, 124p.
10. Hsiao, S. V. and Shemdin, O.H. 1983. Measurements of wind velocity and pressure with a wave follower during MARSEN, J. Geophys. Res., 88(C14), 9841-9849.
11. Janssen P. E. A. M. 1991. Quasi-linear theory of wind-wave generation applied to wave forecasting, J. Physical Oceanography, 21, 1631-1642.
12. Kobayashi T., Adachi T. and Yasuda T. 2003. Estimation of Wave Fields with Open Boundaries by Ap-plying an Adjoint Model, Asian Pacific Coasts 2003, 8p.
13. Komen, G. J. et. al. 1994. Dynamics and Modelling of Ocean Waves. Cambridge University Press, 532p. 1994.
14. Mitsuyasu, H. and T. Honda, 1982. Wind-induced growth of water waves, J. Fluid Mech., 123, 425-442.
15. NOAA/NWS/NCEP/OMB technical note 166, 110p.
16. Tolmann, H. L.1999. User manual and system documentation of WAVEWATCH-III Version 1.18, The WAMDI Group (13 Authors). 1988.
17. The WAM model-A third generation ocean wave prediction model, J. Phys. Oceanogr., 18, pp.1378-1391.
18. Zhang, W., W. Perrie. and W. Li, 2006. Impacts of Waves and Sea Spray on Midlatitude Storm Structure and Intensity, Monthly Weather Review, 2006 American Meteorological Society, Vol. 134, 2418-2442.