Estimating the Lagrangian residual circulation in the Iroise Sea

Type Article
Date 2009-11
Language English
Author(s) Muller Heloise, Blanke Bruno, Dumas Franck, Lekien Francois, Mariette Vincent
Affiliation(s) IFREMER, PHYSED, F-29280 Plouzane, France.
ACTIMAR, F-29200 Brest, France.
CNRS, IFREMER, IRD, LPO,UBO,UMR 6523, F-29238 Brest, France.
Univ Libre Bruxelles, B-1050 Brussels, Belgium.
Source Journal of Marine Systems (0924-7963) (Elsevier), 2009-11 , Vol. 78 , N. S1 , P. S17-S36
DOI 10.1016/j.jmarsys.2009.01.008
WOS© Times Cited 34
Keyword(s) High frequency radar data, Regional ocean modeling, Lagrangian residual circulation, Iroise Sea
Abstract In this study, the Lagrangian residual circulation in the Iroise Sea is estimated by a numerical method where the trajectories of the particles released in any given velocity field are calculated by a diagnostic tool. From their knowledge, the residual Lagrangian currents are computed over a whole number of M2 tidal cycles. The Lagrangian residual circulation is mapped from sea surface currents measured by HF radars and from the surface currents computed with the Model for Applications at Regional Scales (MARS), a regional 3D ocean model forced, here, by the Weather Research and Forecasting (WRF) regional meteorological model. In order to overcome inconvenient space- and time-variations in radar coverage, the measured radar data are interpolated, extrapolated and filtered by Open-Boundary Modal Analysis (OMA). The estimated Lagrangian residual currents are compared with real drifts derived from subsurface and surface Lagrangian drifters released in the Iroise Sea in 2005 and 2007. The residual currents are analysed in the light of the physical processes (tides, atmospheric forcing and density-driven currents) known to govern long-term transport in the Iroise Sea. The similarities between drifter trajectories and the Lagrangian residual circulation inferred from either HF radar surface current measurements or modelled velocities confirm the interest of the methodological approach and make it a reasonable candidate for adaptation to the operational forecast of long-term transport. (C) 2009 Elsevier B.V. All rights reserved.
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