Abstract: We tackle the problem of coupling a geophysical simulation model with data coming from image processing. It needs to define the image observation ...

In this study, we use a shallow-water oceanographic circulation model developed at MHI. We propose a processing chain first based on an image processing step ...

In this study, we use a shallow-water oceanographic circulation model developed at MHI. We propose a processing chain first based on an image processing step ...

This study proposes a processing chain first based on an image processing step relying on a dedicated motion estimation operator, and then a data ...

In this article, we consider applying data assimilation methods for motion estimation on a sequence of satellite images acquired over the ocean. We describe ...

This document discusses assimilating satellite image data into an ocean circulation model. It defines the image space as apparent motion velocity fields ...

This review covers recent advances in applying data assimilation techniques to problems in physical oceanography. The introduction and appendices provide the ...

The paper discusses a scheme based on Kalman-Bucy fil- ters for the assimilation of satellite data in equatorial beta plane ocean circulation models.

Assimilation of observations into ocean circulation models has become a worth-while endeavor now that synoptic data from satellites are becoming available.

The optimal filter computes forecast error covariances of a given atmospheric or oceanic model exactly, and hence data assimilation should be closely connected ...