A new methodology for using buoy measurements in sea wave data assimilation |
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| Authors: | George Emmanouil George Galanis George Kallos |
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| Institution: | (1) Division of Applied Physics, Atmospheric Modeling and Weather Forecasting Group, School of Physics, University of Athens, University Campus, Bldg. PHYS-V, Athens, 15784, Greece;(2) Hellenic National Meteorological Service, E. Venizelou 14, Helliniko, 16777, Greece;(3) Section of Mathematics, Hellenic Naval Academy, Chatzikyriakion, Piraeus, 18539, Greece; |
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| Abstract: | One of the main drawbacks in modern sea wave data assimilation models is the limited temporal and spatial improvement obtained
in the final forecasting products. This is mainly due to deviations coming either from the relevant atmospheric input or from
the dynamics of the wave model, resulting to systematic errors of the forecasted fields of numerical wave models, when no
observation is available for assimilation. A potential solution is presented in this work, based on a combination of advanced
statistical techniques, data assimilation systems, and wave models. More precisely, Kalman filtering algorithms are implemented
into the wave model WAM and the results are assimilated by an Optimum Interpolation Scheme, in order to extend the beneficial
influence of the latter in time and space. The case studied concerns a 3-month period in an open sea area near the South-West
coast of the USA (Pacific Ocean). |
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