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A Wavelet Approach to Representing Background Error Covariances in a Limited Area Model

dc.contributor.authorDeckmyn, A.
dc.contributor.authorBerre, L.
dc.coverage.temporal21st century
dc.date2005
dc.date.accessioned2016-03-07T16:16:51Z
dc.date.accessioned2021-12-09T09:53:36Z
dc.date.available2016-03-07T16:16:51Z
dc.date.available2021-12-09T09:53:36Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/8698
dc.descriptionThe use of orthogonal wavelets for the representation of background error covariances over a limited area is studied. Each wavelet function contains both information on position and information on scale: using a diagonal correlation matrix in wavelet space thus gives the possibility of representing the local variations of correlation scale. To this end, a generalized family of orthogonal Meyer wavelets that are not restricted to dyadic domains (i.e.; powers of 2) is introduced. A three-bases approach is used, which allows one to take advantage of the respective properties of the spectral, wavelet, and gridpoint spaces. While the implied local anisotropies are relatively small, the local changes in the two-dimensional length scale are rather well represented.
dc.languageeng
dc.publisherIRM
dc.publisherKMI
dc.publisherRMI
dc.relation.ispartofseriesMonthly Weather Review - Vol. 133
dc.titleA Wavelet Approach to Representing Background Error Covariances in a Limited Area Model
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceGeneral Public
dc.audienceScientific
dc.subject.freewavelet
dc.subject.freeorthogonal Meyer
dc.subject.freeanisotropies
dc.source.issueMonthly Weather Review - Vol. 133
dc.source.pagep.1279-1294
Orfeo.peerreviewedNot pertinent


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