An Adjoint‐Free Alternating Direction Method for Four‐Dimensional Variational Data Assimilation With Multiple Parameter Tikhonov Regularization
Abstract Tikhonov regularization is critical for accurately specifying both the background (B) and observational (R) error covariances in four‐dimensional variational data assimilation (4DVar). The ratio of the background and observation error variances (referred to as the B‐R ratio) is the key to e...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2020-11-01
|
Series: | Earth and Space Science |
Subjects: | |
Online Access: | https://doi.org/10.1029/2020EA001307 |