Data assimilation of post irradiation examination experiments to adjust fission yields by Siefman Daniel, Hursin Mathieu, Pautz Andreas

“…We used the BFMC data assimilation method to account for the non-normality of GEF's fission yields. …”
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Real-time updating of the flood frequency distribution through data assimilation by C. Aguilar, A. Montanari, M.-J. Polo

“…To exploit the above sensitivity to long-term perturbations, a meta-Gaussian model and a data assimilation approach are implemented for updating the flood frequency distribution a season in advance. …”
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Data assimilation cycle length and observation impact in mesoscale ocean forecasting by P. Sandery

“…<p>A brief examination of the relationship between data assimilation cycle length and observation impact in a practical global mesoscale ocean forecasting setting is provided. …”
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A Data Assimilation Algorithm for the Subcritical Surface Quasi-Geostrophic Equation by Jolly Michael S., Martinez Vincent R., Titi Edriss S.

Subjects: “…data assimilation…”
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A data assimilation framework to predict the response of glioma cells to radiation by Junyan Liu, David A. Hormuth II, Jianchen Yang, Thomas E. Yankeelov

“…We incorporate a practical data assimilation methodology into our previously established experimental-computational framework to predict the heterogeneous response of glioma cells receiving fractionated radiation treatment. …”
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Potential of an ensemble Kalman smoother for stratospheric chemical-dynamical data assimilation by Thomas Milewski, Michel S. Bourqui

Subjects: “…ensemble data assimilation…”
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Quantifying the model structural error in carbon cycle data assimilation systems by S. Kuppel, F. Chevallier, P. Peylin

“…This study explores the impact of the structural error of biosphere models when assimilating net ecosystem exchange (NEE) measurements or CO&lt;sub&gt;2&lt;/sub&gt; concentration measurements to optimise uncertain model parameters within carbon cycle data assimilation systems (CCDASs). This error has been proven difficult to identify and is often neglected in the total uncertainty budget. …”
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Recent advances and opportunities in data assimilation for physics-based hydrological modeling by Matteo Camporese, Manuela Girotto

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Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound Studies by Gonzalo D. Maso Talou, Gonzalo D. Maso Talou, Pablo J. Blanco, Pablo J. Blanco, Gonzalo D. Ares, Gonzalo D. Ares, Gonzalo D. Ares, Cristiano Guedes Bezerra, Cristiano Guedes Bezerra, Pedro A. Lemos, Pedro A. Lemos, Raúl A. Feijóo, Raúl A. Feijóo

“…The obtained displacement fields are regarded as observations within a data assimilation paradigm, which aims to estimate the material parameters of the tissues within the vessel wall. …”
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Limiting the parameter space in the Carbon Cycle Data Assimilation System (CCDAS) by S. Kemp, M. Scholze, T. Ziehn, T. Kaminski

“…This paper builds on the work of the terrestrial Carbon Cycle Data Assimilation System (CCDAS), which, here, assimilates atmospheric CO₂ concentrations to optimise 19 parameters of the underlying terrestrial ecosystem model (Biosphere Energy Transfer and Hydrology scheme, BETHY). …”
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A component-based data assimilation strategy with applications to vascular flows* by Bui Duc-Quang, Mollo Pierre, Nobile Fabio, Taddei Tommaso

“…We present a parameterized-background data-weak (PBDW) approach [Y Maday, AT Patera, JD Penn, M Yano, Int J Numer Meth Eng, 102(5), 933–965] to the steady-state variational data assimilation (DA) problem for systems modeled by partial differential equations (PDEs) and characterized by multiple interconnected components, with emphasis on vascular flows. …”
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Multigrid methods for improving the variational data assimilation in numerical weather prediction by Youn-Hee Kang, Do Young Kwak, Kyungjeen Park

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An ensemble Kalman filter data assimilation system for the whole neutral atmosphere by D. Koshin, K. Sato, K. Miyazaki, K. Miyazaki, S. Watanabe

“…Second, the MLS observational bias is estimated as a function of the month and latitude and removed before the data assimilation. Third, data assimilation parameters, such as the degree of gross error check, localization length, inflation factor, and assimilation window, are optimized based on a series of sensitivity tests. …”
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Data assimilation using adaptive, non-conservative, moving mesh models by A. Aydoğdu, A. Carrassi, A. Carrassi, C. T. Guider, C. K. R. T. Jones, P. Rampal

“…This work presents a novel approach to the formulation of ensemble data assimilation (DA) for models with this underlying computational structure. …”
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Validation of genetic algorithm-based optimal sampling for ocean data assimilation by Heaney, Kevin D., Duda, Timothy F., Lermusiaux, Pierre, Haley, Patrick

“…For skill metrics, we employ the reduction of the ensemble root mean square error (RMSE) between the “true” data-assimilative ocean simulation and the different ensembles of data-assimilative hindcasts. …”
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Multi-layer model simulation and data assimilation in the Serangoon Harbor of Singapore by Wei, Jun, Zheng, Haining, Chen, Haoliang, Ooi, Boon Hooi, Dao, M. H., Cho, Wonjoon, Tkalich, P., Patrikalakis, Nicholas M., Rizzoli, Paola M

“…The model results are validated with in situ ADCP observations to assess the realism of the model simulations. EnKF data assimilation method is successively implemented to assimilate all the available ADCP data, and thus correct for the model forecast deficiencies.…”
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Data Assimilation using Bayesian Filters and B-spline Geological Models by Duan, L, Farmer, C, Hoteit, I, Luo, X, Moroz, I

Improving weather forecast skill through reduced precision data assimilation by Hatfield, S, Subramanian, A, Palmer, T, Düben, P

“…A new approach for improving the accuracy of data assimilation, by trading numerical precision for ensemble size, is introduced. …”

Data assimilation using bayesian filters and B-spline geological models by Duan, L, Farmer, C, Hoteit, I, Luo, X, Moroz, I

“…This paper proposes a new approach to problems of data assimilation, also known as history matching, of oilfield production data by adjustment of the location and sharpness of patterns of geological facies. …”

Data assimilation using Bayesian filters and B-spline geological models by Duan, L, Farmer, C, Hoteit, I, Luo, X, Moroz, I

“…This paper proposes a new approach to problems of data assimilation, also known as history matching, of oilfield production data by adjustment of the location and sharpness of patterns of geological facies. …”