DINEOF reconstruction of clouded images including error maps - application to the Sea-Surface Temperature around Corsican Island

被引：77

作者：

Beckers, J. -M. ^{[1
,3
]}

Barth, A. ^{[2
]}

Alvera-Azcarate, A. ^{[2
]}

机构：

[1] Univ Liege, MARE, B-4000 Liege, Belgium

[2] Univ S Florida, Coll Marine Sci, St Petersburg, FL 33701 USA

[3] Natl Fund Sci Res, Honorary Res Associate, Brussels, Belgium

来源：

OCEAN SCIENCE | 2006年 / 2卷 / 02期

关键词：

D O I：

10.5194/os-2-183-2006

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

We present an extension to the Data INterpolating Empirical Orthogonal Functions (DINEOF) technique which allows not only to fill in clouded images but also to provide an estimation of the error covariance of the reconstruction. This additional information is obtained by an analogy with optimal interpolation. It is shown that the error fields can be obtained with a clever rearrangement of calculations at a cost comparable to that of the interpolation itself. The method is presented on the reconstruction of sea-surface temperature in the Ligurian Sea and around the Corsican Island (Mediterranean Sea), including the calculation of inter-annual variability of average surface values and their expected errors. The application shows that the error fields are not only able to reflect the data-coverage structure but also the covariances of the physical fields.

引用

页码：183 / 199

页数：17