Correction of inertial oscillations by assimilation of HF radar data in a model of the Ligurian Sea

详细信息    查看全文

• 作者：Luc Vandenbulcke ; Jean-Marie Beckers ; Alexander Barth
• 关键词：Data assimilation ; High ; frequency radar ; Ligurian sea ; Inertial oscillation
• 刊名：Ocean Dynamics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：67
• 期：1
• 页码：117-135
• 全文大小：
• 刊物类别：Earth and Environmental Science
• 刊物主题：Oceanography; Geophysics/Geodesy; Atmospheric Sciences; Fluid- and Aerodynamics; Monitoring/Environmental Analysis;
• 出版者：Springer Berlin Heidelberg
• ISSN：1616-7228
• 卷排序：67

文摘

This article aims at analyzing if high-frequency radar observations of surface currents allow to improve model forecasts in the Ligurian Sea, where inertial oscillations are a dominant feature. An ensemble of ROMS models covering the Ligurian Sea, and nested in the Mediterranean Forecasting System, is coupled with two WERA high-frequency radars. A sensitivity study allows to determine optimal parameters for the ensemble filter. By assimilating observations in a single point, the obtained correction shows that the forecast error covariance matrix represents the inertial oscillations, as well as large- and meso-scale processes. Furthermore, it is shown that the velocity observations can correct the phase and amplitude of the inertial oscillations. Observations are shown to have a strong effect during approximately half a day, which confirms the importance of using a high temporal observation frequency. In general, data assimilation of HF radar observations leads to a skill score of about 30% for the forecasts of surface velocity.