A global quality-controlled spectral wave database
Cees F. De Valk(1) and Geert J. Wensink(1)
8325 ZH Vollenhove,
Spectral wave data are in increasing demand,
for example to drive regional
or local sea surface wave models, and for
advanced applications such as the
prediction of motions of vessels.
However, until recently, global datasets
of spectra wave data were not widely available
or too costly, or not fit
for use. Recently, a new database of directional
sea surface wave spectra
covering the entire globe over a 13 year period
was produced by ARGOSS. The
hindcast was made with the wavewatch-iii wave prediction
model from NCEP
and involves various quality-control and
correction procedures on the input-
and output data of the model.
Wind fields from NCEP are checked and
corrected at each model grid point using
wind vector data from several
satellite scatterometer missions.
Hindcast significant wave height is
checked at all gridpoints using satellite
SAR and radar altimeter
measurements from all missions, and locally
corrected when necessary. Also
extensive and detailed spectral
validation against wave buoys is performed.
One of the problems with these datasets is the huge data-volume.
compression method was developed to reduce
the data-set to a manageable
size, enabling clients to integrate the complete dataset into their