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To take into account the effect of uncertainties in the model formulation,
each forecast is made using slightly different model equations. The current
implementation is a first attempt to simulate random model errors due
to parametrized physical processes. It is assumed that these random errors
are coherent between the various parametrization modules and over certain
space and time scales. The scheme assumes that larger tendencies from
the parametrization will have a larger random error component.
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