Coherent observations operators for surface data assimilation, with application to snow depth
Urban, B.
Année de publication
1996
A method to derive observation operators for surface data assimilation
is presented. It is based on a statistical modeling of the physical
processes behavior near the surface. It provides a general framework to
design such observation operators. The method avoids the problems that
arise with vertical interpolation and extrapolation due to the
difference between real orography and model orography. Examples are
given for surface temperature and snow depth analysis. The last example
is then implemented in the French global operational model Arpège, and
full data assimilation experiments are presented with and without the
snow-depth observation operational. The impact of the method is
positive, and its amplitude is compared with the one produced by another
common model change, namely physical parameterizations modification.</div>
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