SOLA
Online ISSN : 1349-6476
ISSN-L : 1349-6476
Data Assimilation with Error-Correlated and Non-Orthogonal Observations: Experiments with the Lorenz-96 Model
Koji TerasakiTakemasa Miyoshi
Author information
JOURNALS FREE ACCESS

2014 Volume 10 Pages 210-213

Details
Abstract

This study aims to investigate the impact of observation error correlations and non-orthogonal observation operators on analysis accuracy using a chaotic dynamical model known as the Lorenz-96 40-variable model, extending the previous study by Miyoshi et al. using a simple two-dimensional conceptual model. The results corroborate Miyoshi et al.'s conceptual study and show that the analysis is more accurate when the row vectors of a linear observation operator are correlated positively (negatively) with negatively (positively) correlated observation error. The online estimation of the observation error covariance matrix based on the Desroziers diagnostics is successful when we have reasonable a priori knowledge about the observation error correlations.

Information related to the author
© 2014 by the Meteorological Society of Japan
Previous article
feedback
Top