Towards Full Flow‐Dependence: New Temporally Varying EDA Quotient Functionality to Estimate Background Errors in CERRA
Author:
Affiliation:
1. Metéo‐France CNRM‐GMAP Toulouse France
2. Swedish Meteorological and Hydrological Institute Norrköping Sweden
3. Norwegian Meteorological Institute Oslo Norway
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021MS002637
Reference26 articles.
1. A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characteristics and measurements of forecast error covariances
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4. Estimation of Synoptic and Mesoscale Forecast Error Covariances in a Limited-Area Model
5. On the use of EDA background error variances in the ECMWF 4D-Var
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