Abstract
Phase averaged wave models is a good supplement of in situ
measurements for the study of wave climate in a specific location.
In spite of having been tested in smoothly varying coastal
areas, they haven’t previously been systematically validated in
complex topography (coastline and bathymetry) such as Norwegian
fjords, due to lack of measurements. However, in planning
for large fjord crossings, the Norwegian Public Roads Administration
have launched a number of buoys which allow for validation
of model setup.
In the present work, nearshore wave conditions in the area
of Sulafjord, central Norway, are investigated as derived from
numerical modelling with several different setups, and are compared
against in situ buoy measurements with good accordance.
The analysis is carried out by transferring offshore wave conditions
to the nearshore area by successive applications of the
well-known third-generation wave model SWAN. As input has
been used a very detailed bathymetry of the area, and time series
of wind and wave parameters derived from ERA5 and NORA10
datasets. Various scenarios reconstructing the wave input spectra
have been considered.
measurements for the study of wave climate in a specific location.
In spite of having been tested in smoothly varying coastal
areas, they haven’t previously been systematically validated in
complex topography (coastline and bathymetry) such as Norwegian
fjords, due to lack of measurements. However, in planning
for large fjord crossings, the Norwegian Public Roads Administration
have launched a number of buoys which allow for validation
of model setup.
In the present work, nearshore wave conditions in the area
of Sulafjord, central Norway, are investigated as derived from
numerical modelling with several different setups, and are compared
against in situ buoy measurements with good accordance.
The analysis is carried out by transferring offshore wave conditions
to the nearshore area by successive applications of the
well-known third-generation wave model SWAN. As input has
been used a very detailed bathymetry of the area, and time series
of wind and wave parameters derived from ERA5 and NORA10
datasets. Various scenarios reconstructing the wave input spectra
have been considered.