The reconstruction of the structure of hygrophysical fields, using incomplete data

Abstract

The paper suggests a method for reconstructing the spatial structure of hydrological elements, using incomplete information, with the noise component being concurrently filtered. This problem is of vital relevance in the context of conducting satellite observations when the observed area is covered by clouds. To solve the problem, the fields are decomposed by the system of empirical orthogonal functions.

The reconstructed fields acquired by the different techniques using model andin situ data are then compared. As an example, the paper examines the reconstruction of the oxygen field, using the survey data compiled during the summer of 1986. The computations allow a deduction that the method at issue may be efficiently employed to handle the problems of field reconstruction, using scarce data, with the purpose of generating a data base on spatio-temporal variability of diverse environment components.