YAO: A Software for Variational Data Assimilation Using Numerical Models
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part II
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The PALM project aims to provide a general structure for a modular implementation of a data assimilation system. In this system, an assimilation algorithm is split up into elementary "units" such as the observation operator, the computation of the correlation matrix of observational errors, the forecast model, etc. This approach allows to separate the physical part of the problem from the algebraic part. PALM performs the algebra, ensures the synchronization of the units and drives the communication of the fields exchanged by the units. Thanks to the interface specifications, each physical unit can be implemented as an independent executable code and can be easily replaced or reutilised for other configurations.