Data Interpolating Empirical Orthogonal Functions (DINEOF): a tool for geophysical data analyses

An overview of the technique called DINEOF (Data Interpolating Empirical Orthog-
onal Functions) is presented. DINEOF reconstructs missing information in geophys-
ical data sets, such as satellite imagery or time series. A summary of the technique
is given, with its main characteristics, recent developments and future research di-
rections. DINEOF has been applied to a large variety of oceanographic variables in
various domains of different sizes. This technique can be applied to a single variable
(monovariate approach), or to several variables together (multivariate approach),
with no complexity increase in the application of the technique. Error fields can be
computed to establish the accuracy of the reconstruction. Examples are given to
illustrate the capabilities of the technique. DINEOF is freely offered to download,
and help is provided to users in the form of a wiki and through a discussion email
list.