Estimation of transport at open boundaries with an ensemble Kalman filter in a coastal ocean model

The performance of the ensemble adjustment Kalman filter (EAKF) to estimating volume transports at open boundaries was investigated for a coastal ocean model of the Palma Bay, Mallorca Island, Mediterranean Sea. The circulation in the Palma Bay is mainly driven by the remotely wind-generated island trapped waves (ITWs) propagating around Mallorca and by a local wind response. Thus, for a model of the bay proper only, the large-scale ITWs must be incorporated into the open ocean boundary conditions. To take into account the effect of ITWs, an EAKF was used to assimilate the moored Acoustic Doppler Current Profiler (ADCP) velocity time series collected in the inner part of the Bay through a simultaneous state and parameter estimation. In this approach, flows at open boundaries were included in the model state as time-dependent parameters and were updated in each assimilation step. The simulation was validated with moored ADCP data as well as with independent towed ADCP spatial velocity survey data. The new results are markedly improved over the model experiments without data assimilation or with state estimation only. In particular, simulation using the estimated values at open boundaries significantly outperforms simulation with 'a priori' prescribed values at boundaries. The error reduction is about 45% when ITWs dominate the circulation. Our results present a promising approach in dealing with the open boundary conditions in a coastal ocean model. © 2013 Elsevier Ltd.This research utilized resources at the New York Center for Computational Sciences at Stony Brook University/Brookhaven National Laboratory which was supported by the U.S. Department of Energy under Contract No. DE-AC02-98CH10886 and by the State of New York. This work was partly supported by EDASE (CGL2008-00047/BTE), EHRE (CTM2009-08270) and Platja de Palma projects. A. Jordi’s work was supported by a Ramón y Cajal grant from the Spanish Ministry of Economy and CompetitivenessPeer Reviewe