Error subspace filtering for atmospheric chemistry data assimilation modeling

Abstract not available

A joint data assimilation-coupling algorithm applied to shallow water flood models

In the context of river hydraulics, we develop the idea of a richer local zoom model superposed to a given global model. The local zoom model (2D shallow water equations in flooded parts) describes additional physical phenomena which are not represented by the basic global model (1D shallow-water equations with storage area). The weak coupling...

Lagrangian data assimilation for river hydraulics simulations

We present a method to use lagrangian data from remote sensing observation in a data assimilation process for parameters identification in a river hydraulics model based on the bidimensional shallow water equations. The trajectories of particles advected by the flow can be extracted from video images and are used in addition to classical...

Hydrologische Hindcast APL

Conversion of deterministic models into stochastic models: Approach and three worked out examples as guidance for application of data assimilation

Sequence manager description in COSTA interface terminology

Quantification of 2D subtidal bathymetry from video

Data assimilation in atmospheric chemistry models using Kalman filtering

The problem of air pollution around urbanized area across Europe is strongly related to ozone. Ozone is a result of photo-chemical oxidation, and therefore an indication of the presence of pollutants. Overexposure to ozone is harmful to the health, and the concentrations are therefore measured on a regular basis to check exceedance of air...

Data assimilation in air pollution modelling