A new methodology for using buoy measurements in sea wave data assimilation

作者：Emmanouil George; Galanis George; Kallos George^*

来源：Ocean Dynamics, 2010, 60(5): 1205-1218.

DOI：10.1007/s10236-010-0328-9

• Data assimilation
• Kalman filters
• Wave modeling

One of the main drawbacks in modem 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).

• 出版日期2010-10
• 单位中国人民解放军海军大连舰艇学院