Fróðskaparrit - 01.01.2007, Qupperneq 130

Fróðskaparrit - 01.01.2007, Qupperneq 130
128 VALIDATION OF THE ECMWF ANALYSIS WAVE DATA FOR THE AREA AROUND THE FAROE ISLANDS to verify that the ECMWF wave model (henceforth called EW4) is well suited to provide boundary conditions and forcing for a high-resolution local wave model. The four periods, which are chosen for this validation, are centred around the largest wave heights, recorded in the de- ployment time of the directional waverider WVD-4 south of Faroe Islands (Figure 1). Each period spans one month, such that the general skill of the EW4 model can be in- vestigated in average and extreme circum- stances. The ECMWF wave model The wave model at ECMWF is a slightly adapted version of the WAM cycle 4 model (ECMWF, 2004, Janssen, 2004, Janssen et al., 2005). WAM is a third generation wave model, which solves the wave transport equation explicitly without any ad hoc as- sumption on the shape of the wave energy spectrum. The basic transport equation in Cartesian co-ordinates is: ðe (1) where F(a,Q) is the wave energy spectrum, t is time, a is the intrinsic angular fre- quency, 0 is the wave direction measured clockwise from true north, c and c are propagation velocities in geographical space, ca and c0 are the propagation veloci- ties in frequency and directional space re- spectively. If Sto=0, Eq. 1 gives the local rate of change of wave energy density due to spatial propagation, and depth induced shoaling and refraction. The effects of cur- rents on the wave transport equation are omitted here as the effects of currents on oceanic scales are usually negligible (Komen et al., 1994). The right hand side of Eq. 1 represents all effects of generation, dissipation and wave-wave interactions. The total source term can be expressed as Sto=Sjn+ Sds + Snl, where S.n is the wind input, Sds is the wave dissipation and Snl is the Discrete Interac- tion Approximation (DIA) to the non-lin- ear quadruplet wave-wave interactions. More detailed information on the WAM model and its source terms can be found in Komen et al. (1994). Direct application of the WAM model to global scales will result in numerical difficulties with the areas close to the poles (as the distance in latitude direction de- creases, this causes problems with the CFL-criterion). This problem is solved in the ECMWF-WAM (EW4) model by using an irregular spherical grid, where the dis- tance in latitude direction is more or less fixed to its value at the equator (ECMWF, 2004). As the model results validated here are derived from a regular spherical 0.25° by 0.25° grid as disseminated by ECMWF, some interpolation has been made in the parameter values. The 2D-wave spectra are not interpolated, but set equal to the closest point from the staggered grid (find more information on the ECMWF wave model interpolation schemes on http://www.ecmwf.int). A weather or sea state forecast is essen- tially an initial value problem. Given the initial state, the further development in time can be calculated. The problem is,
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