Challenges and Opportunities for Data Assimilation in Mountainous Environments by Joshua Hacker, Clara Draper, Luke Madaus

Subjects: “…data assimilation…”
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Representing model error in ensemble data assimilation by C. Cardinali, N. Žagar, G. Radnoti, R. Buizza

“…The paper investigates a method to represent model error in the ensemble data assimilation (EDA) system. The ECMWF operational EDA simulates the effect of both observations and model uncertainties. …”
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Variational data assimilation for discrete Burgers equation by Amit Apte, Didier Auroux, Mythily Ramaswamy

Subjects: “…Variational data assimilation…”
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Kalman Filter and Its Application in Data Assimilation by Bowen Wang, Zhibin Sun, Xinyue Jiang, Jun Zeng, Runqing Liu

Subjects: “…data assimilation…”
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Data Assimilation Method, its Application and Stability by Belyaev Konstantin, Kuleshov Andrey, Smirnov Ilya, Tuchkova Natalia

“…The authors data assimilation method, namely, generalized Kalman filter (GKF) method, its application and stability is considered. …”
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Simplified aerosol modeling for variational data assimilation by N. Huneeus, O. Boucher, F. Chevallier

“…We have developed a simplified aerosol model together with its tangent linear and adjoint versions for the ultimate aim of optimizing global aerosol and aerosol precursor emission using variational data assimilation. The model was derived from the general circulation model LMDz; it groups together the 24 aerosol species simulated in LMDz into 4 species, namely gaseous precursors, fine mode aerosols, coarse mode desert dust and coarse mode sea salt. …”
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Combining vLAPS and Nudging Data Assimilation by Brian P. Reen, Huaqing Cai, Robert E. Dumais, Yuanfu Xie, Steve Albers, John W. Raby

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Gaussian approximations in filters and smoothers for data assimilation by Matthias Morzfeld, Daniel Hodyss

Subjects: “…data assimilation…”
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Integration of CFD and Wind Tunnel by Data Assimilation by Hiroshi KATO, Shigeru OBAYASHI

Subjects: “…data assimilation…”
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On deterministic error analysis in variational data assimilation by F. -X. Le Dimet, V. Shutyaev

“…The problem of variational data assimilation for a nonlinear evolution model is considered to identify the initial condition. …”
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Streamflow data assimilation for soil moisture analysis by K. Warrach-Sagi, V. Wulfmeyer

“…We illustrate the potential of streamflow data assimilation for weather forecasting and discuss its spatial and temporal requirements for a corresponding, automated river gauging network.…”
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Improved variational methods in statistical data assimilation by J. Ye, N. Kadakia, P. J. Rozdeba, H. D. I. Abarbanel, J. C. Quinn

“…Data assimilation transfers information from an observed system to a physically based model system with state variables <b><i>x</b>(t)</i>. …”
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Efficient Formulation and Implementation of Data Assimilation Methods by Elias D. Nino-Ruiz, Adrian Sandu, Haiyan Cheng

“…This Special Issue presents efficient formulations and implementations of sequential and variational data assimilation methods. The methods address three important issues in the context of operational data assimilation: efficient implementation of localization methods, sampling methods for approaching posterior ensembles under non-linear model errors, and adjoint-free formulations of four dimensional variational methods.…”
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Variational data assimilation via sparse regularisation by Ardeshir M. Ebtehaj, Milija Zupanski, Gilad Lerman, Efi Foufoula-Georgiou

Subjects: “…variational data assimilation…”
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DATA ASSIMILATION APPLIED TO PRESSURISED WATER REACTORS by Dixon J.R, Lindley B.A., Taylor T., Parks G.T.

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Data assimilation of stratospheric constituents: a review by W. A. Lahoz, Q. Errera, R. Swinbank, D. Fonteyn

“…The data assimilation of stratospheric constituents is reviewed. …”
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Nonlinear data-assimilation using implicit models by A. D. Terwisscha van Scheltinga, H. A. Dijkstra

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An approach to localization for ensemble-based data assimilation. by Bin Wang, Juanjuan Liu, Li Liu, Shiming Xu, Wenyu Huang

“…Localization techniques are commonly used in ensemble-based data assimilation (e.g., the Ensemble Kalman Filter (EnKF) method) because of insufficient ensemble samples. …”
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Reconstructing mammalian sleep dynamics with data assimilation. by Madineh Sedigh-Sarvestani, Steven J Schiff, Bruce J Gluckman

“…Data assimilation is a valuable tool in the study of any complex system, where measurements are incomplete, uncertain, or both. …”
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Parameterizing transport maps for ensemble data assimilation by Sharp, Daniel

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