Data Assimilation for Coastal Observing Systems

Data Assimilation for Coastal Observing Systems

Introduct ion Data assimilation is the process of combining our knowledge of a system, including both observations and dynamics, to produce estimates of the state of a system. The state of a system, or state variable, describes the physical, chemical, or biological environment. Real, four-dimensional systems are generally under-sampled. This is particularly true in the coastal marine environmen...

Coastal Observing Systems: the Role of Sar

he availability of cloudand light-independent synthetic aperture radar (SAR) data has for nearly a decade provided regular and global observation of ocean wave spectra. Furthermore, the radar’s capability to detect and locate oil spills, bathymetric features in shallow water, and ships has also led to systematic use of SAR images in operational surveillance associated with marine coastal pollut...

Seminar/workshop 1984 Data Assimilation Systems and Observing System Experiments with Particular Emphasis on Fgge

Lagrangian data assimilation for point vortex systems †

A new method for directly assimilating Lagrangian tracer observations for flow state estimation is presented. It is developed in the context of point vortex systems. With tracer advection equations augmenting the point vortex model, the correlations between the vortex and tracer positions allow one to use the observed tracer positions to update the non-observed vortex positions. The method work...

Ensemble data assimilation for hyperbolic systems

Ensemble based methods are now widely used in applications such as weather prediction, but there are few rigorous results regarding their application. The broad goal of this paper is to provide some theoretical evidence of their applicability in the computational study of dynamical systems in some idealized, yet interesting setting. The specific goal of this paper is to investigate a data assim...