Influence of proxy data uncertainty on data assimilation for the past climate by A. Matsikaris, M. Widmann, J. Jungclaus

“…Data assimilation (DA) is an emerging topic in palaeoclimatology and one of the key challenges in this field. …”
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Aircraft Wake Vortex Behavior Prediction Based on Data Assimilation by Chun SHEN, Jianbing LI, Hang GAO, Pakwai CHAN, Kaikwong HON, Xuesong WANG

Subjects: “…data assimilation…”
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Application of observability Gramian to targeted observation in WRF data assimilation by Ryoichi Yoshimura, Aiko Yakeno, Takashi Misaka, Shigeru Obayashi

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Ensemble-Based Data Assimilation in Reservoir Characterization: A Review by Seungpil Jung, Kyungbook Lee, Changhyup Park, Jonggeun Choe

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Data assimilation of radar reflectivity volumes in a LETKF scheme by T. Gastaldo, T. Gastaldo, V. Poli, C. Marsigli, C. Marsigli, P. P. Alberoni, T. Paccagnella

“…<p>Quantitative precipitation forecast (QPF) is still a challenge for numerical weather prediction (NWP), despite the continuous improvement of models and data assimilation systems. In this regard, the assimilation of radar reflectivity volumes should be beneficial, since the accuracy of analysis is the element that most affects short-term QPFs. …”
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Data assimilation of Argo profiles in a northwestern Pacific model by Z. Wang, A. Storto, N. Pinardi, G. Liu, H. Wang

“…Based on a novel estimation of background-error covariances for assimilating Argo profiles, an oceanographic three-dimensional variational (3DVAR) data assimilation scheme was developed for the northwestern Pacific Ocean model (NwPM) for potential use in operational predictions and maritime safety applications. …”
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Analog data assimilation for the selection of suitable general circulation models by J. Ruiz, P. Ailliot, T. T. T. Chau, P. Le Bras, P. Le Bras, V. Monbet, F. Sévellec, F. Sévellec, P. Tandeo

“…<p>Data assimilation is a relevant framework to merge a dynamical model with noisy observations. …”
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The Impact of Profiles Data Assimilation on an Ideal Tropical Cyclone Case by Changliang Shao, Lars Nerger

Subjects: “…data assimilation…”
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Storm surge model based on variational data assimilation method by Shi-li Huang, Jian Xu, De-guan Wang, Dong-yan Lu

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Four-dimensional ensemble variational data assimilation and the unstable subspace by Marc Bocquet, Alberto Carrassi

“…The performance of (ensemble) Kalman filters used for data assimilation in the geosciences critically depends on the dynamical properties of the evolution model. …”
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Multiplicative Non‐Gaussian Model Error Estimation in Data Assimilation by S. Pathiraja, P. J. vanLeeuwen

“…Abstract Model uncertainty quantification is an essential component of effective data assimilation. Model errors associated with sub‐grid scale processes are often represented through stochastic parameterizations of the unresolved process. …”
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Model Error Correction in Data Assimilation by Integrating Neural Networks by Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yi-ke Guo

Subjects: “…data assimilation…”
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Data assimilation using an ensemble of models: a hierarchical approach by P. Rayner

“…<p>One characteristic of biogeochemical models is uncertainty about their formulation. Data assimilation should take this uncertainty into account. …”
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Chaotic System Prediction Using Data Assimilation and Machine Learning by Yanan Guo, Xiaoqun Cao, Kecheng Peng

“…With the continuous improvement of observational techniques, data assimilation has gradually become an effective method to improve the numerical simulation prediction. …”
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Dynamic calibration of agent-based models using data assimilation by Jonathan A. Ward, Andrew J. Evans, Nicolas S. Malleson

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First application of data assimilation-based control to fusion plasma by Yuya Morishita, Sadayoshi Murakami, Naoki Kenmochi, Hisamichi Funaba, Ichihiro Yamada, Yoshinori Mizuno, Kazuki Nagahara, Hideo Nuga, Ryosuke Seki, Masayuki Yokoyama, Genta Ueno, Masaki Osakabe

“…To address this challenge, we introduced a control approach based on data assimilation (DA), which describes the system model adaptation and control estimation based on the state probability distribution. …”
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A hybrid data assimilation system based on machine learning by Renze Dong, Hongze Leng, Chengwu Zhao, Junqiang Song, Juan Zhao, Xiaoqun Cao

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Physics-constrained deep learning for data assimilation of subsurface transport by Haiyi Wu, Rui Qiao

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Mesoscale Resolution Radar Data Assimilation Experiments with the Harmonie Model by Serguei Ivanov, Silas Michaelides, Igor Ruban

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On parameter bias in earthquake sequence models using data assimilation by A. Banerjee, Y. van Dinther, F. C. Vossepoel

“…We investigate whether data assimilation can estimate current and future fault states, i.e., slip rate and shear stress, in the presence of a bias in the friction parameter. …”
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