Preconditioning Representer-based Variational Data Assimilation Systems: Application to NAVDAS-AR

Published In

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications

Document Type

Book Chapter

Publication Date



Assimilation of observations into numerical models has emerged as an essential modeling component in geosciences. This procedure requires the solution of large systems of linear equations. Solving these systems in “real-time” or “near-real-time” in a timely manner is still a computational challenge. This paper shows how new methods in computational linear algebra are used to “speed-up” the representer-based algorithm in a variety of assimilation problems, with particular application to the Naval Research Laboratory (NRL) Atmospheric Variational Data Assimilation System-Accelerated Representer (NAVDAS-AR) system.


© Springer-Verlag Berlin Heidelberg 2009

This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law.



Persistent Identifier