Data compression in the presence of observational error correlations
Numerical weather prediction (NWP) models are moving towards km-scale (and smaller) resolutions in order to forecast high-impact weather. As the resolution of NWP models increase the need for high-resolution observations to constrain these models also increases. A major hurdle to the assimilation of...
Main Author: | A.M. Fowler |
---|---|
Format: | Article |
Language: | English |
Published: |
Stockholm University Press
2019-01-01
|
Series: | Tellus: Series A, Dynamic Meteorology and Oceanography |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/16000870.2019.1634937 |
Similar Items
-
Accounting for observation errors in image data assimilation
by: Vincent Chabot, et al.
Published: (2015-02-01) -
The importance of simulated errors in observing system simulation experiments
by: Nikki C. PrivÉ, et al.
Published: (2021-01-01) -
Diagnosing Horizontal and Inter-Channel Observation Error Correlations for SEVIRI Observations Using Observation-Minus-Background and Observation-Minus-Analysis Statistics
by: Joanne A. Waller, et al.
Published: (2016-07-01) -
Estimating correlated observation error statistics using an ensemble transform Kalman filter
by: Joanne A. Waller, et al.
Published: (2014-09-01) -
Application of observability Gramian to targeted observation in WRF data assimilation
by: Ryoichi Yoshimura, et al.
Published: (2020-01-01)