Data assimilation in a sparsely observed one-dimensional modeled MHD system by Z. Sun, A. Tangborn, A. Tangborn, W. Kuang

“…The implications for geomagnetic data assimilation are discussed.…”
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Modifying Covariance Localization to Mitigate Sampling Errors from the Ensemble Data Assimilation by Mingheng Chang, Hongchao Zuo, Jikai Duan

“…The results show that the CL-MC method outperforms the CL method for different data assimilation parameters (ensemble sizes and localizations). …”
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Sensitivity of regional ensemble data assimilation spread to perturbations of lateral boundary conditions by Rachida El Ouaraini, Loïk Berre, Claude Fischer, El Hassan Sayouty

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A Hybrid Gain Analog Offline EnKF for Paleoclimate Data Assimilation by Haohao Sun, Lili Lei, Zhengyu Liu, Liang Ning, Zhe‐Min Tan

Subjects: “…paleoclimate data assimilation…”
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The Multiple Snow Data Assimilation System (MuSA v1.0) by E. Alonso-González, K. Aalstad, M. W. Baba, J. Revuelto, J. I. López-Moreno, J. Fiddes, R. Essery, S. Gascoin

“…Here we introduce a new data assimilation toolbox, the Multiple Snow Data Assimilation System (MuSA), to help fill this gap. …”
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Data assimilation with an improved particle filter and its application in the TRIGRS landslide model by C. Xue, G. Nie, G. Nie, H. Li, J. Wang

“…<p>Particle filters have become a popular algorithm in data assimilation for their ability to handle nonlinear or non-Gaussian state-space models, but they have significant disadvantages. …”
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Reconstructing tephra fall deposits via ensemble-based data assimilation techniques by L. Mingari, L. Mingari, A. Costa, G. Macedonio, A. Folch

“…However, traditional data assimilation algorithms, including ensemble Kalman filter (EnKF) methods, can yield suboptimal state estimates for positive-definite variables such as those related to volcanic aerosols and tephra deposits. …”
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Can Data Assimilation Improve Short-Term Prediction of Land Surface Variables? by Yingze Tian, Tongren Xu, Fei Chen, Xinlei He, Shi Li

“…Data assimilation methods have been used to improve the performances of land surface models by integrating remote sensing and in situ measurements. …”
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Validation of pan-Arctic soil temperatures in modern reanalysis and data assimilation systems by T. C. Herrington, C. G. Fletcher, H. Kropp

“…Here we validate pan-Arctic soil temperatures from eight reanalysis and land data assimilation system products, using a newly assembled database of in situ observations from diverse measurement networks across Eurasia and North America. …”
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A Forecasting Procedure for Plate Boundary Earthquakes Based on Sequential Data Assimilation by Takane Hori, Mamoru Hyodo, Ryoko Nakata, Shin'ichi Miyazaki, Yoshiyuki Kaneda

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Multi-source data assimilation for physically based hydrological modeling of an experimental hillslope by A. Botto, E. Belluco, M. Camporese

“…<p>Data assimilation has recently been the focus of much attention for integrated surface–subsurface hydrological models, whereby joint assimilation of water table, soil moisture, and river discharge measurements with the ensemble Kalman filter (EnKF) has been extensively applied. …”
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Variational data assimilation for the optimized ozone initial state and the short-time forecasting by S.-Y. Park, D.-H. Kim, S.-H. Lee, H. W. Lee

“…In this study, we apply the four-dimensional variational (4D-Var) data assimilation to optimize initial ozone state and to improve the predictability of air quality. …”
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Precision annealing Monte Carlo methods for statistical data assimilation and machine learning by Zheng Fang, Adrian S. Wong, Kangbo Hao, Alexander J. A. Ty, Henry D. I. Abarbanel

“…In statistical data assimilation (SDA) and supervised machine learning (ML), we wish to transfer information from observations to a model of the processes underlying those observations. …”
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A Framework for Four-Dimensional Variational Data Assimilation Based on Machine Learning by Renze Dong, Hongze Leng, Juan Zhao, Junqiang Song, Shutian Liang

“…The initial field has a crucial influence on numerical weather prediction (NWP). Data assimilation (DA) is a reliable method to obtain the initial field of the forecast model. …”
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Paleoclimate data assimilation with CLIMBER-X: An ensemble Kalman filter for the last deglaciation. by Ahmadreza Masoum, Lars Nerger, Matteo Willeit, Andrey Ganopolski, Gerrit Lohmann

“…In applying an ensemble Kalman filter approach, we make use of the advances in the parallel data assimilation framework (PDAF), which provides parallel data assimilation functionality with a relatively small increase in computation time. …”
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Simultaneous global and limited-area ensemble data assimilation using joint states by Young-Noh Yoon, Brian R. Hunt, Edward Ott, Istvan Szunyogh

Subjects: “…ensemble data assimilation…”
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Analysis of the Model Characteristics in the North Atlantic Simulated by the NEMO Model with Data Assimilation by Konstantin Belyaev, Andrey Kuleshov, Ilya Smirnov

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Interconnected hydrologic extreme drivers and impacts depicted by remote sensing data assimilation by Timothy M. Lahmers, Sujay V. Kumar, Kim A. Locke, Shugong Wang, Augusto Getirana, Melissa L. Wrzesien, Pang-Wei Liu, Shahryar Khalique Ahmad

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Data assimilation of volcanic aerosol observations using FALL3D+PDAF by L. Mingari, A. Folch, A. T. Prata, F. Pardini, G. Macedonio, A. Costa

“…In this work, we present a new implementation of an ensemble-based data assimilation (DA) method coupling the FALL3D dispersal model and the Parallel Data Assimilation Framework (PDAF). …”
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A stability estimate for data assimilation subject to the heat equation with initial datum by Burman, Erik, Delay, Guillaume, Ern, Alexandre, Oksanen, Lauri

“…Such an estimate is useful for the convergence analysis of computational methods dealing with data assimilation. We focus on the case of a known solution at initial time and in some subdomain but that is unknown on the boundary. …”
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