Electron radiation belt data assimilation with an ensemble Kalman filter relying on the Salammbô code by S. A. Bourdarie, V. F. Maget

“…In this study we implement a data assimilation tool using a 3-D radiation belt model and an ensemble Kalman filter approach. …”
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A New Data Assimilation Scheme: The Space-Expanded Ensemble Localization Kalman Filter by Hongze Leng, Junqiang Song, Fengshun Lu, Xiaoqun Cao

“…This study considers a new hybrid three-dimensional variational (3D-Var) and ensemble Kalman filter (EnKF) data assimilation (DA) method in a non-perfect-model framework, named space-expanded ensemble localization Kalman filter (SELKF). …”
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WRF-ARW Variational Storm-Scale Data Assimilation: Current Capabilities and Future Developments by Juanzhen Sun, Hongli Wang

“…The variational radar data assimilation system has been developed and tested for the Advanced Research Weather Research and Forecasting (WRF-ARW) model since 2005. …”
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Data Assimilative Optimization of WSA Source Surface and Interface Radii using Particle Filtering by Grant David Meadors, Shaela I. Jones, Kyle S. Hickmann, Charles N. Arge, Humberto C. Godinez‐Vasquez, Carl J. Henney

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Data assimilation by combining ABAQUS with ensemble Kalman filter and its application to geotechnical engineering by Ding Wang, Ding Wang, Chang Wang, Xiaogang Pu, Hui Song, Jiaqi Wan, Zhonghui Cao

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Impact of 3DVAR Data Assimilation on the Prediction of Heavy Rainfall over Southern China by Tuanjie Hou, Fanyou Kong, Xunlai Chen, Hengchi Lei

“…This study examines the impact of three-dimensional variational data assimilation (3DVAR) on the prediction of two heavy rainfall events over Southern China by using a real-time storm-scale forecasting system. …”
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Multi-dimensional hydrological–hydraulic model with variational data assimilation for river networks and floodplains by L. Pujol, P.-A. Garambois, J. Monnier, J. Monnier

“…<p>This contribution presents a novel multi-dimensional (multi-D) hydraulic–hydrological numerical model with variational data assimilation capabilities. It allows multi-scale modeling over large domains, combining in situ observations with high-resolution hydrometeorology and satellite data. …”
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Data assimilation of GNSS zenith total delays from a Nordic processing centre by M. Lindskog, M. Ridal, S. Thorsteinsson, T. Ning

“…In addition, it is demonstrated that the assimilation of GNSS ZTD can benefit from more general data assimilation enhancements and that there is an interaction of GNSS ZTD with other types of observations used in the data assimilation. …”
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A data assimilation-based forecast model of outer radiation belt electron fluxes by Yuan Lei, Xing Cao, BinBin Ni, Song Fu, TaoRong Luo, XiaoYu Wang

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The Impacts of the Application of the Ensemble Optimal Interpolation Method in Global Ocean Wave Data Assimilation by Mengmeng Wu, Hui Wang, Liying Wan, Juanjuan Wang, Yi Wang, Jiuke Wang

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A data assimilative perspective of oceanic mesoscale eddy evolution during VOCALS-REx by A. C. Subramanian, A. J. Miller, B. D. Cornuelle, E. Di Lorenzo, R. A. Weller, F. Straneo

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Deep Learning of Systematic Sea Ice Model Errors From Data Assimilation Increments by William Gregory, Mitchell Bushuk, Alistair Adcroft, Yongfei Zhang, Laure Zanna

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Improving Soil Water Content and Surface Flux Estimation Based on Data Assimilation Technique by He Chen, Rencai Lin, Baozhong Zhang, Zheng Wei

“…The application of the data assimilation technique can substantially improve the estimation of surface fluxes and SWC states. …”
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A non-Gaussian analysis scheme using rank histograms for ensemble data assimilation by S. Metref, E. Cosme, C. Snyder, P. Brasseur

“…One challenge of geophysical data assimilation is to address the issue of non-Gaussianities in the distributions of the physical variables ensuing, in many cases, from nonlinear dynamical models. …”
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A novel localization scheme for scalar uncertainties in ensemble-based data assimilation methods by Ricardo Vasconcellos Soares, Célio Maschio, Denis José Schiozer

“…Abstract History matching, also known as data assimilation, is an inverse problem with multiple solutions responsible for generating more reliable models for use in decision-making processes. …”
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Data assimilation using a climatologically augmented local ensemble transform Kalman filter by Matthew Kretschmer, Brian R. Hunt, Edward Ott

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A nudging-based data assimilation method: the Back and Forth Nudging (BFN) algorithm by D. Auroux, J. Blum

“…This paper deals with a new data assimilation algorithm, called Back and Forth Nudging. …”
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Better constraints on the sea-ice state using global sea-ice data assimilation by P. Mathiot, C. König Beatty, T. Fichefet, H. Goosse, F. Massonnet, M. Vancoppenolle

“…Short-term and decadal sea-ice prediction systems need a realistic initial state, generally obtained using ice–ocean model simulations with data assimilation. However, only sea-ice concentration and velocity data are currently assimilated. …”
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Exploring the characteristics of a vehicle‐based temperature dataset for kilometre‐scale data assimilation by Zackary Bell, Sarah L. Dance, Joanne A. Waller

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Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system by E. López-Blanco, E. López-Blanco, J.-F. Exbrayat, J.-F. Exbrayat, M. Lund, T. R. Christensen, T. R. Christensen, M. P. Tamstorf, D. Slevin, G. Hugelius, A. A. Bloom, M. Williams, M. Williams

“…Here, we use the CARbon DAta MOdel (CARDAMOM) data-assimilation system to produce pan-Arctic terrestrial C cycle analyses for 2000–2015. …”
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