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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 II: experiments with larger models

Michael GoodliffDepartment of Meteorology, University of Reading, Reading, Berkshire, UKRG6 6BBCorrespondence[email protected]
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Javier AmezcuaDepartment of Meteorology, University of Reading, Reading, Berkshire, UKRG6 6BB;NCEO, University of Reading, Reading, Berkshire, UKView further author information

Peter Jan Van LeeuwenDepartment of Meteorology, University of Reading, Reading, Berkshire, UKRG6 6BB;NCEO, University of Reading, Reading, Berkshire, UKView further author information

Article: 1271565 | Received 09 Jan 2016, Accepted 29 Nov 2016, Published online: 20 Jan 2017

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https://doi.org/10.1080/16000870.2016.1271565
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Yuehua Peng, Ting Wang, Huizan Wang, Liang Wang, Haibin Zhang & Shuai Wu. (2023) Impact of digital filtering as a weak constraint on 4DVar to predict and perturb typhoons in WRF model. Atmospheric Research 284, pages 106578.
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S. G. Penny, T. A. Smith, T.‐C. Chen, J. A. Platt, H.‐Y. Lin, M. Goodliff & H. D. I. Abarbanel. (2022) Integrating Recurrent Neural Networks With Data Assimilation for Scalable Data‐Driven State Estimation. Journal of Advances in Modeling Earth Systems 14:3.
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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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Xueshang FengXueshang Feng. 2020. Magnetohydrodynamic Modeling of the Solar Corona and Heliosphere. Magnetohydrodynamic Modeling of the Solar Corona and Heliosphere 747 772 .

Xiangjun Tian & Hongqin Zhang. (2019) A Big Data‐Driven Nonlinear Least Squares Four‐Dimensional Variational Data Assimilation Method: Theoretical Formulation and Conceptual Evaluation. Earth and Space Science 6:8, pages 1430-1439.
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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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Žiga Zaplotnik, Nedjeljka Žagar & Nils Gustafsson. (2018) An intermediate‐complexity model for four‐dimensional variational data assimilation including moist processes. Quarterly Journal of the Royal Meteorological Society 144:715, pages 1772-1787.
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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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A weak-constraint 4DEnsembleVar. Part II: experiments with larger models

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