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Tellus A: Dynamic Meteorology and Oceanography Volume 69, 2017 - Issue 1
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Data assimilation and predictability

A weak-constraint 4DEnsembleVar. Part I: formulation and simple model experiments

Javier AmezcuaDepartment of Meteorology, University of Reading, Reading, UK;National Centre for Earth Observation, Reading, UKCorrespondence[email protected]
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Michael GoodliffDepartment of Meteorology, University of Reading, Reading, UKView further author information
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Peter Jan Van LeeuwenDepartment of Meteorology, University of Reading, Reading, UK;National Centre for Earth Observation, Reading, UKView further author information
Article: 1271564 | Received 09 Jan 2016, Accepted 29 Nov 2016, Published online: 18 Jan 2017

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Akhilesh S. Nair, Rohit Mangla, Thiruvengadam P & J. Indu. (2022) Remote sensing data assimilation. Hydrological Sciences Journal 67:16, pages 2457-2489.
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Zak Hodgson, Inaki EsnaolaBryn Jones. (2022) Model-Based Optimal Adaptive Monitoring of Oil Spills. IEEE Transactions on Control Systems Technology 30:5, pages 2115-2130.
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Mathis Peyron, Anthony Fillion, Selime Gürol, Victor Marchais, Serge Gratton, Pierre Boudier & Gael Goret. (2021) Latent space data assimilation by using deep learning. Quarterly Journal of the Royal Meteorological Society 147:740, pages 3759-3777.
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Matthew Lang, Jake Witherington, Harriet Turner, Mathew J. Owens & Pete Riley. (2021) Improving Solar Wind Forecasting Using Data Assimilation. Space Weather 19:7.
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Kangzhuang Liang, Wei Li, Guijun Han, Qi Shao, Xuefeng Zhang, Liang Zhang, Binhe Jia, Yang Bai, Siyuan Liu & Yantian Gong. (2021) An Analytical Four‐Dimensional Ensemble‐Variational Data Assimilation Scheme. Journal of Advances in Modeling Earth Systems 13:1.
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Xueshang FengXueshang Feng. 2020. Magnetohydrodynamic Modeling of the Solar Corona and Heliosphere. Magnetohydrodynamic Modeling of the Solar Corona and Heliosphere 747 772 .
Ivo Pasmans & Alexander L. Kurapov. (2019) Ensemble of 4DVARs (En4DVar) data assimilation in a coastal ocean circulation model, Part I: Methodology and ensemble statistics. Ocean Modelling 144, pages 101493.
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Marc Bocquet, Julien Brajard, Alberto Carrassi & Laurent Bertino. (2019) Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models. Nonlinear Processes in Geophysics 26:3, pages 143-162.
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Matthew Lang & Mathew J. Owens. (2019) A Variational Approach to Data Assimilation in the Solar Wind. Space Weather 17:1, pages 59-83.
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Javier Amezcua & Peter Jan van Leeuwen. (2018) Time‐correlated model error in the (ensemble) Kalman smoother. Quarterly Journal of the Royal Meteorological Society 144:717, pages 2650-2665.
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Matthew Lang, Philip Browne, Peter Jan van Leeuwen & Mathew Owens. (2017) Data Assimilation in the Solar Wind: Challenges and First Results. Space Weather 15:11, pages 1490-1510.
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Xingxia Kou, Zhekun Huang, Hongnian Liu, Meigen Zhang, Si Shen & Zhen Peng. (2017) Evaluating the Role of the EOF Analysis in 4DEnVar Methods. Atmosphere 8:8, pages 146.
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R. N. Bannister. (2017) A review of operational methods of variational and ensemble‐variational data assimilation. Quarterly Journal of the Royal Meteorological Society 143:703, pages 607-633.
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