Sensitivity of regional ensemble data assimilation spread to perturbations of lateral boundary conditions-Reference-Cited by-同舟云学术

Sensitivity of regional ensemble data assimilation spread to perturbations of lateral boundary conditions

Published:2015-12-01 Issue:1 Volume:67 Page:28502
ISSN:1600-0870
Container-title:Tellus A: Dynamic Meteorology and Oceanography
language:en
Short-container-title:Tellus A: Dynamic Meteorology and Oceanography

Author:

El Ouaraini Rachida¹,Berre Loïk²,Fischer Claude²,Sayouty El Hassan³

Affiliation:

1. Direction de la Météorologie Nationale, BP 8102, Casablanca, Morocco

2. Météo-France/CNRS, CNRM/GAME, 42 Avenue Coriolis, FR-31057 Toulouse, France

3. Physique des Hautes Energies et de la Matière Condensée, Faculté des Sciences Ain Chock, Hassan II University of Casablanca, BP 5366 Maarif, Casablanca, Morocco

Publisher

Informa UK Limited

Subject

Atmospheric Science,Oceanography

Link

https://www.tandfonline.com/doi/pdf/10.3402/tellusa.v67.28502

Reference30 articles.

1. The General Question of Predictability

2. Predictability of Mesoscale Atmospheric Motions

3. Filtering of Background Error Variances and Correlations by Local Spatial Averaging: A Review

4. Berre L. , Desroziers G. , Raynaud L. , Montroty R. , Gibier F . Consistent operational ensemble variational assimilation. 2009. Proceedings of the Fifth WMO International Symposium on Data Assimilation, Melbourne, Australia, 5–9 October 2009, Paper N.196.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hourly assimilation of different sources of observations including satellite radiances in a mesoscale convective system case during RELAMPAGO campaign;Atmospheric Research;2023-01

2. Sensitivity to Initial and Boundary Perturbations in Convective-Scale Ensemble-Based Data Assimilation: Imperfect-Model OSSEs;SOLA;2021

3. Simulation and diagnosis of observation, model and background error contributions in data assimilation cycling;Quarterly Journal of the Royal Meteorological Society;2019-01

4. Impact of the hybrid gain ensemble data assimilation on meso-scale numerical weather prediction over east China;Atmospheric Research;2018-07

5. Preliminary Test of a Data Assimilation System with a Regional High-Resolution Atmosphere–Ocean Coupled Model Based on an Ensemble Kalman Filter;Monthly Weather Review;2017-02