Attempt for accuracy improvement of wave hindcasting / forecastig in coastal sea and inner sea by data assimilation

Proceedings of the Coastal Engineering Conference

Volumn , Issue , 2009, Pages 483-495

  Hashimoto, Noriaki ^a   Matsuura, Kuniaki ^b   Kawai, Hiroyasu ^c  

^a KYUSHU UNIVERSITY   (Japan)

^b JAPAN WEATHER ASSOCIATION   (Japan)

^c PORT AND AIRPORT RESEARCH INSTITUTE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COASTAL ENGINEERING;

ACCURACY IMPROVEMENT; DATA ASSIMILATION; DATA ASSIMILATION METHODS; MODEL PARAMETERS; OBSERVATION DATA; OPTIMUM INTERPOLATION; TOPOGRAPHIC CONDITIONS; WAVE CHARACTERISTICS;

INTERPOLATION;

EID: 84873821264     PISSN: 01613782     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1142/9789814277426_0041     Document Type: Conference Paper

References (10)

1. Giering, R. 1995. The Adjoint Model Compiler, MPI report
2. Hashimoto, N., K. Matsuura, T. Nagai, H. Kawai. 2007. Application of Adjoint WAM to NOWPHAS Wave Observation Network for Establishment of Reasonable Observation Network, Proa 30th Int. Conf. Coastal Eng. 'Coastal Engineering 2006',Vol. 1, 565-577.
3. Hersbach, H. 1998. The adjoint of the WAM model., KNMI-WR, 7-9, 15.
4. Hersbach, H. 1998. Application of the adjoint of the WAM model to inverse wave modeling, J. Geophys. Res. Vol. 103, No. C5, 10469-10487.
5. 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.
6. Janssen P. E. A. M. 1991. Quasi-linear theory of wind-wave generation applied to wave forecasting, J. Physical Oceanography, 21, 1631-1642.
7. Kimura, K., T. Hamaguchi, M. Okada, T. Shimizu. 2003. Modeling of wave spray on block mound seawall for coastal highway, Proceedings of Coastal Engineering, JSCE, vol.50, 796-800.
8. Mitsuyasu, H. and T Honda. 1982. Wind-induced growth of water waves, J. FluidMech., 123,425-442.
9. Zhang, W., W. Perrie. and W. Li, 2006. Impacts of Waves and Sea Spray on Midlatitude Storm Structure and Intensity, Monthly Weather Review, 2006
10. American Meteorological Society,Vol. 134, 2418-2442.