Improving Background Error Covariances in a 3D Ensemble–Variational Data Assimilation System for Regional NWP
Author:
Affiliation:
1. Data Assimilation and Satellite Meteorology Research Section, Environment and Climate Change Canada, Dorval, Québec, Canada
2. Centre National de Recherches Météorologiques/Météo-France, Toulouse, France
Abstract
Publisher
American Meteorological Society
Subject
Atmospheric Science
Link
http://journals.ametsoc.org/doi/pdf/10.1175/MWR-D-18-0248.1
Reference37 articles.
1. Practical Ensemble-Based Approaches to Estimate Atmospheric Background Error Covariances for Limited-Area Deterministic Data Assimilation
2. The Use of an Ensemble Approach to Study the Background Error Covariances in a Global NWP Model
3. Estimation of Synoptic and Mesoscale Forecast Error Covariances in a Limited-Area Model
4. Filtering of Background Error Variances and Correlations by Local Spatial Averaging: A Review
5. Modelling of flow‐dependent ensemble‐based background‐error correlations using a wavelet formulation in 4D‐Var at Météo‐France
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