Variational data assimilation is commonly used in environmental forecasting to estimate the current state of the system from a model forecast and observational data. The assimilation problem can be written simply in the form of a nonlinear least squares optimization problem. However the practical solution of the problem in large systems requires many careful choices to be made in the implementation. In this article we present the theory of variational data assimilation and then discuss in detai
Attributed to:
NCEO Data Assimilation
funded by
NERC
Abstract
No abstract provided
Bibliographic Information
Type: Book Chapter
Book Title: Large Scale Inverse Problems: Computational Methods and Applications in the Earth Sciences (2013)
Page Reference: 55-90
ISBN: 9783110282221