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.
CITATION STYLE
Chua, B. S., Xu, L., Rosmond, T., & Zaron, E. D. (2009). Preconditioning Representer-based Variational Data Assimilation Systems: Application to NAVDAS-AR. In Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (pp. 307–319). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-71056-1_16
Mendeley helps you to discover research relevant for your work.