Data Assimilation Research Centre
Collaborators: Theory Applications Group, Met Office (JCMM)
Mathematics Dept., Reading Univ.
It is crucial to know (and its inverse).
Most basically ...
Make assumptions about the nature of the error correlations
(ie compact the information needed to approximate and ).
One important stage in completing this process is the
parameter transform, .
Meteorological variables Parameters
Parameters are assumed to be uncorrelated ...
There are no good theoretical reasons to suppose that these variables are uncorrelated (and they are not uncorrelated).
New parameters ...
There are better reasons to suppose that a new set of (PV based) parameters are more uncorrelated.
Meteorological variables New parameters
To implement this new scheme in the Met Office 3d Var system, we need to know: