Local data assimilation scheme for wave predictions close to the Portuguese ports

The present work describes developments in improving the wave predictions close to the most important Portuguese ports. A wave modelling system was implemented and focused on the Portuguese continental nearshore. It is based on WAM, for the wave generation and on SWAN, for the coastal transformation. The system has been operational since October 2008 and delivers daily forecast products corresponding to four days ahead. Validations of the results were performed against both buoys and satellite data. In order to improve the wave predictions in the nearshore areas neighbouring the Portuguese harbours targeted, two new steps were performed and they are presented in this work. Firstly, high resolution computational domains covering the vicinities of the ports were connected to the wave prediction system. As a further step, a data assimilation scheme was also implemented. The procedure considered uses the data provided by the buoys that are operating in the vicinity of the main Portuguese ports and gives real time estimations of the significant wave height. A recursive successive correction algorithm was developed to improve the model predictions close to the locations of the buoys. The assimilation of the buoy data was performed on three levels – time, geographical and spectral spaces. This procedure allows corrections to the boundary conditions considered for the high resolution computational domains implemented in the vicinity of the harbour areas. The results show that data assimilation makes the wave prediction system more accurate, particularly in conditions where waves are usually less well modelled such as during storms.

[1]  C. Guedes Soares,et al.  Modeling Waves in Open Coastal Areas and Harbors with Phase-Resolving and Phase-Averaged Models , 2012 .

[2]  Piero Lionello,et al.  An optimal interpolation scheme for the assimilation of spectral wave data , 1997 .

[3]  George Galanis,et al.  Assimilation of radar altimeter data in numerical wave models: an impact study in two different wave climate regions , 2007 .

[4]  Spectral wave data assimilation for the prediction of waves in the North Sea , 1999 .

[5]  J. P. Pinto,et al.  A Kalman filter application to a spectral wave model , 2005 .

[6]  S. Elgar Waves in Oceanic and Coastal Waters , 2007 .

[7]  Eugen Rusu,et al.  Evaluation of Various Technologies for Wave Energy Conversion in the Portuguese Nearshore , 2013 .

[8]  C. Guedes Soares,et al.  Forecasting fishing vessel responses in coastal areas , 2014 .

[9]  Caren Marzban,et al.  MOS, Perfect Prog, and Reanalysis , 2006 .

[10]  Vladan Babovic,et al.  Data assimilation of local model error forecasts in a deterministic model , 2002 .

[11]  C. Guedes Soares,et al.  Influence of the Wind Fields on the Accuracy of Numerical Wave Modelling in Offshore Locations , 2008 .

[13]  C. Guedes Soares,et al.  Coastal impact induced by a Pelamis wave farm operating in the Portuguese nearshore , 2013 .

[14]  C. Soares,et al.  Modelling the influence of currents on wave propagation at the entrance of the Tagus estuary , 2011 .

[15]  J. P. Thomas,et al.  Retrieval of energy spectra from measured data for assimilation into a wave model , 2006 .

[16]  A comparison of two operational wave assimilation methods , 1997, physics/9703026.

[17]  K. Hasselmann,et al.  Assimilation of wave data into the wave model WAM using an impulse response function method , 1996 .

[18]  H. Sorenson Least-squares estimation: from Gauss to Kalman , 1970, IEEE Spectrum.

[19]  L. Rusutt,et al.  Influence of Wind Resolution on the Prediction of Waves Generated in an Estuary , 2009 .

[20]  Christopher K. Wikle,et al.  Atmospheric Modeling, Data Assimilation, and Predictability , 2005, Technometrics.

[21]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[22]  C. Guedes Soares,et al.  Evaluation of a high-resolution wave forecasting system for the approaches to ports , 2013 .

[23]  C. Guedes Soares,et al.  Hindcast of the wave conditions along the west Iberian coast , 2008 .

[24]  C Guedes Soares,et al.  An operational wave forecasting system for the Portuguese continental coastal area , 2011 .

[25]  J. Bidlot,et al.  Verification of the ECMWF Wave Forecasting System against Buoy and Altimeter Data , 1997 .

[26]  Piero Lionello,et al.  Assimilation of altimeter data in a global third-generation wave model , 1992 .

[27]  C. Guedes Soares,et al.  Hindcast of Dynamic Processes of the Ocean and Coastal Areas of Europe , 2008 .

[28]  C. Guedes Soares,et al.  Evaluation of the wave transformation in an open bay with two spectral models , 2011 .

[29]  C. Guedes Soares,et al.  Validation of Two Wave and Nearshore Current Models , 2010 .

[30]  Takvor H. Soukissian,et al.  About applying linear structural method on ocean data: Adjustment of satellite wave data , 2007 .

[31]  Paul J. Martin,et al.  A Real-Time Coastal Ocean Prediction Experiment for MREA04 , 2008 .

[32]  Diana J. M. Greenslade,et al.  The assimilation of ERS-2 significant wave height data in the Australian region , 2001 .

[33]  N. Booij,et al.  Assimilation of buoy and satellite data in wave forecasts with integral control variables , 1997 .

[34]  Pedro Antão,et al.  Analysis of the Influence of Waves in the Occurrence of Accidents in the Portuguese Coast Using Bayesian Belief Networks , 2010 .

[35]  C. Guedes Soares,et al.  Reanalysis of the wave conditions on the approaches to the Portuguese port of Sines , 2006 .