2020
DOI: 10.1002/qj.3805
|View full text |Cite
|
Sign up to set email alerts
|

Framework for the comparison of a priori and a posteriori error variance estimation and tuning schemes

Abstract: The performance of an assimilation system is strongly dependent on the quality of the error statistics used. A number of error statistics estimation and tuning methods have previously been developed to better assess and determine these statistics. Many of these are a posteriori methods which make use of quantities calculated during the assimilation procedure, while other a priori methods do not require information from the assimilation. In this study, we develop a conceptual framework that relates these method… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 55 publications
0
2
0
Order By: Relevance
“…The approach of Hollingsworth and Lönnberg (1986) is to assume that the observation errors are spatially uncorrelated, so that by fitting a function to the correlations of the innovations the variances can be separated out. In the review of Sitwell and Ménard (2020) this is referred to as an a priori method.…”
Section: Estimating Uncertainties In Damentioning
confidence: 99%
See 1 more Smart Citation
“…The approach of Hollingsworth and Lönnberg (1986) is to assume that the observation errors are spatially uncorrelated, so that by fitting a function to the correlations of the innovations the variances can be separated out. In the review of Sitwell and Ménard (2020) this is referred to as an a priori method.…”
Section: Estimating Uncertainties In Damentioning
confidence: 99%
“…DBCP05 proposed a method to estimate the covariance matrices directly from the output of the assimilation system. Hence these are referred to as a posteriori methods in the review of Sitwell and Ménard (2020).…”
Section: Estimating Uncertainties In Damentioning
confidence: 99%