Reference : A numerically efficient data analysis method with error map generation
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
A numerically efficient data analysis method with error map generation
Rixen, M. [ > > ]
Beckers, Jean-Marie mailto [Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Brankart, J. M. [ > > ]
Brasseur, P. [ > > ]
Ocean Modelling
Elsevier Science
Yes (verified by ORBi)
United Kingdom
[en] objective analysis ; error maps ; variational inverse model ; numerical efficiency
[en] The variational inverse model (VIM) for data analysis was already shown to be statistically equivalent to objective analysis (OA) provided the covariance function for the OA and the VIM reproducing kernel are identical. The VIM, however does not allow a direct derivation of the error field associated with the analysis. The purpose of the paper is to extend the one to one correspondance between the two analysis shemes by proposing a heuristic statistical error expression for the VIM. The numerical efficiency on analysis and error map generation of both methods is compared on quasi-synoptic and climatological data sets. It is shown that the VIM analysis and error map generation offers interesting numerical skills in both case studies.

File(s) associated to this reference

Fulltext file(s):

Restricted access
a numerically efficient 2000.pdfPublisher postprint836.58 kBRequest copy

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.