4D‐Var for numerical weather prediction
Author:
Affiliation:
1. Research Department, ECMWF Reading UK
Publisher
Wiley
Subject
Atmospheric Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/wea.3862
Reference10 articles.
1. On the use of EDA background error variances in the ECMWF 4D-Var
2. The evolution of the ECMWF hybrid data assimilation system
3. A strategy for operational implementation of 4D-Var, using an incremental approach
4. Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects;Dimet F.‐X.L.;Tellus A: Dyn. Met. Oceanogr.,1986
5. Continuous Long‐Window Data Assimilation;Hólm E;ECMWF Newsletter, Spring,2020
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1. Time-Limited Balanced Truncation for Data Assimilation Problems;Journal of Scientific Computing;2023-10-05
2. Evaluating Alternate Methods of 4D-Var Data Assimilation in a Coupled Hydrodynamic—Four-Component Biogeochemical Model of the California Current System;Ocean Modelling;2023-10
3. Time‐limited balanced truncation within incremental four‐dimensional variational data assimilation;PAMM;2023-09-12
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