@article{huang2026benchmarking,
  title = {Benchmarking Generative Models for Weather Data Assimilation on Real Station Observations},
  author = {Ruizhe Huang and Qidong Yang and Jonathan Giezendanner and Sherrie Wang},
  year = {2026},
  eprint = {2610.00728},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.00728},
}

@article{shen2026scorebased,
  title = {A score-based particle flow filter for non-Gaussian data assimilation in high-dimensional chaotic systems},
  author = {Zheqi Shen and Youmin Tang and Yuewei Fang},
  year = {2026},
  eprint = {2608.22454},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.22454},
}

@article{dolean2026advanced,
  title = {Advanced Linear Algebra with Applications - Part I (Numerical linear algebra for PDEs, machine learning, and data assimilation)},
  author = {Victorita Dolean and Jemima Tabeart},
  year = {2026},
  eprint = {2608.21234},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.21234},
}

@article{meng2026coupled,
  title = {Coupled multiscale paleoclimate reconstruction with four-dimensional variational data assimilation},
  author = {Zilu Meng and Gregory J. Hakim and Julien Emile-Geay and Tanaya Gondhalekar and Eric J. Steig},
  year = {2026},
  eprint = {2608.19469},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.19469},
}

@article{ghosh2026benchmarking,
  title = {Benchmarking ConvLSTM for One-Day-Ahead IMDAA Rainfall-Field Prediction across Four Indian Cities},
  author = {Tanmay Ghosh and Shaurabh Anand and Rakesh Gomaji Nannewar and Nithin Nagaraj},
  year = {2026},
  eprint = {2607.26581},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.26581},
}

@article{saito2026sparse,
  title = {Sparse Sensor Placement for Reducing Forecast Errors in Ensemble Kalman Filtering},
  author = {Takumi Saito and Shunji Kotsuki},
  year = {2026},
  eprint = {2606.27267},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.27267},
}

@article{george2026uncertainty,
  title = {Uncertainty quantification via conformal prediction in data assimilation},
  author = {Catherine George and Alireza Javanmardi and Tijana Janjić and Eyke Hüllermeier},
  year = {2026},
  eprint = {2606.27001},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.27001},
}

@article{franzoni2026distributional,
  title = {Using Distributional Regression Networks to Retrieve Cloud Properties from Solar Satellite Channels for Data Assimilation},
  author = {Stefano Franzoni and Christopher Bülte and Leonhard Scheck and Christian Keil and George C. Craig},
  year = {2026},
  eprint = {2606.21294},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.21294},
}

@article{han2026global,
  title = {Global kilometre-scale tropical cyclone inner-core vector winds from sparse scalar CYGNSS observations},
  author = {Xinhai Han and Xiaohui Li and Jingsong Yang and Zeyi Niu and Guoqi Han and Jiuke Wang and Wei Huang and Yunxia Zheng and Hanyue Ni and Yiqi Wang and Wei Tao and Lotfi Aouf and Shaoliang Peng and Dake Chen},
  year = {2026},
  eprint = {2605.18477},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.18477},
}

@article{jia2026forcingdas,
  title = {ForcingDAS: Unified and Robust Data Assimilation via Diffusion Forcing},
  author = {Yixuan Jia and Siyi Chen and Yida Pan and Xiao Li and Lianghe Shi and Chanyong Jung and Haijie Yuan and Ismail Alkhouri and Yue Cynthia Wu and Saiprasad Ravishankar and Jeffrey A Fessler and Qing Qu},
  year = {2026},
  eprint = {2605.14285},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.14285},
}

@article{park2026acceleration,
  title = {Acceleration of horizontal numerical advection for atmospheric modeling through surrogate modeling with temporal coarse-graining},
  author = {Manho Park and Christopher V. Rackauckas and Christopher W. Tessum},
  year = {2026},
  eprint = {2605.10956},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.10956},
}

@article{gong2026eartho1,
  title = {Earth-o1: A Grid-free Observation-native Atmospheric World Model},
  author = {Junchao Gong and Kaiyi Xu and Wangxu Wei and Siwei Tu and Jingyi Xu and Zili Liu and Hang Fan and Zhiwang Zhou and Tao Han and Yi Xiao and Xinyu Gu and Zhangrui Li and Wenlong Zhang and Hao Chen and Xiaokang Yang and Yaqiang Wang and Lijing Cheng and Pierre Gentine and Wanli Ouyang and Feng Zhang and Zhe-Min Tan and Bowen Zhou and Fenghua Ling and Ben Fei and Lei Bai},
  year = {2026},
  eprint = {2605.06337},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.06337},
}

@article{mangeleer2026physical,
  title = {The Physical Limit of Neural Hypoxia Detection in the Black Sea from Satellite Observations},
  author = {Victor Mangeleer and Luc Vandenbulcke and Marilaure Grégoire and Gilles Louppe},
  year = {2026},
  eprint = {2604.25608},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.25608},
}

@article{ayapilla2026uncertaintyaware,
  title = {Uncertainty-Aware Spatiotemporal Super-Resolution Data Assimilation with Diffusion Models},
  author = {Aditya Sai Pranith Ayapilla and Kazuya Miyashita and Yuki Yasuda and Ryo Onishi},
  year = {2026},
  eprint = {2604.21180},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.21180},
}

@article{lieberman2026deeplearned,
  title = {Deep-Learned Observation Operators for Artificial Intelligence Weather Forecasting Models},
  author = {Kelsey Lieberman and Laura Slivinski and Matt Bender and Chris Miller and Josh DaRosa and Nick Krall and Mohammad Ridhwaan Alam and Nick Silverman and Sergey Frolov},
  year = {2026},
  eprint = {2604.00082},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.00082},
}

@article{yamaoka2026selforganizing,
  title = {Self-Organizing Score-based Data Assimilation},
  author = {Yuma Yamaoka and Seiichi Uchida and Shoji Toyota},
  year = {2026},
  eprint = {2603.28048},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.28048},
}

@article{buono2026learning,
  title = {Learning Data-driven Surrogate and Correction Models for Satellite Observations in Numerical Weather Prediction},
  author = {Gian Luca Buono and Stefanie Hollborn and Roland Potthast and Jörg Schäfer and Martin Simon},
  year = {2026},
  eprint = {2603.22037},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.22037},
}

@article{chaumet2026convergence,
  title = {Convergence Analysis of a Fully Discrete Observer For Data Assimilation of the Barotropic Euler Equations},
  author = {Aidan Chaumet and Jan Giesselmann},
  year = {2026},
  eprint = {2603.10962},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.10962},
}

@article{fan2026accurate,
  title = {Accurate and Efficient Hybrid-Ensemble Atmospheric Data Assimilation in Latent Space with Uncertainty Quantification},
  author = {Hang Fan and Juan Nathaniel and Yi Xiao and Ce Bian and Fenghua Ling and Ben Fei and Lei Bai and Pierre Gentine},
  year = {2026},
  eprint = {2603.04395},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.04395},
}

@article{zighed2026efficient,
  title = {Efficient Real-Time Adaptation of ROMs for Unsteady Flows Using Data Assimilation},
  author = {Ismaël Zighed and Andrea Nóvoa and Luca Magri and Taraneh Sayadi},
  year = {2026},
  eprint = {2602.23188},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2602.23188},
}

@article{si2026levda,
  title = {LEVDA: Latent Ensemble Variational Data Assimilation via Differentiable Dynamics},
  author = {Phillip Si and Peng Chen},
  year = {2026},
  eprint = {2602.19406},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2602.19406},
}

@article{ke2026preconditioned,
  title = {Preconditioned Adjoint Data Assimilation for Two-Dimensional Decaying Isotropic Turbulence},
  author = {Hongyi Ke and Zejian You and Qi Wang},
  year = {2026},
  eprint = {2602.14016},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2602.14016},
}

@article{cheng2026flowda,
  title = {FlowDA: Accurate, Low-Latency Weather Data Assimilation via Flow Matching},
  author = {Ran Cheng and Lailai Zhu},
  year = {2026},
  eprint = {2602.06800},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2602.06800},
}

@article{feireisl2026system,
  title = {On a system of equations arising in meteorology: Well-posedness and data assimilation},
  author = {Eduard Feireisl and Piotr Gwiazda and Agnieszka Świerczewska-Gwiazda},
  year = {2026},
  eprint = {2602.02328},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2602.02328},
}

@article{zhang2026sendai,
  title = {SENDAI: A Hierarchical Sparse-measurement, EfficieNt Data AssImilation Framework},
  author = {Xingyue Zhang and Yuxuan Bao and Mars Liyao Gao and J. Nathan Kutz},
  year = {2026},
  eprint = {2601.21664},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.21664},
}

@article{bao2026cheap2rich,
  title = {Cheap2Rich: A Multi-Fidelity Framework for Data Assimilation and System Identification of Multiscale Physics -- Rotating Detonation Engines},
  author = {Yuxuan Bao and Jan Zajac and Megan Powers and Venkat Raman and J. Nathan Kutz},
  year = {2026},
  eprint = {2601.20295},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.20295},
}

@article{giral2026genda,
  title = {GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance},
  author = {Francisco Giral and Álvaro Manzano and Ignacio Gómez and Ricardo Vinuesa and Soledad Le Clainche},
  year = {2026},
  eprint = {2601.11440},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.11440},
}

@article{bao2025ensemble,
  title = {The Ensemble Schr{ö}dinger Bridge filter for Nonlinear Data Assimilation},
  author = {Feng Bao and Hui Sun},
  year = {2025},
  eprint = {2512.18928},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.18928},
}

@article{stefanelli2025neuralnetwork,
  title = {A Neural-Network Model-Measurement-Based Observation Operator For Weather Radar Reflectivity Assimilation},
  author = {Marco Stefanelli and Žiga Zaplotnik and Gregor Skok},
  year = {2025},
  eprint = {2512.18289},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.18289},
}

@article{bessaih2025continuous,
  title = {Continuous data assimilation for 2D stochastic Navier-Stokes equations},
  author = {Hakima Bessaih and Benedetta Ferrario and Oussama Landoulsi and Margherita Zanella},
  year = {2025},
  eprint = {2512.15184},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.15184},
}

@article{voort2025balancing,
  title = {Balancing Accuracy and Speed: A Multi-Fidelity Ensemble Kalman Filter with a Machine Learning Surrogate Model},
  author = {Jeffrey van der Voort and Martin Verlaan and Hanne Kekkonen},
  year = {2025},
  eprint = {2512.12276},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.12276},
}

@article{amerstorfer2025predicting,
  title = {Predicting CME Arrivals with Heliospheric Imagers from L5: A Data Assimilation Approach},
  author = {Tanja Amerstorfer and Justin Le Louëdec and David Barnes and Maike Bauer and Jackie A. Davies and Satabdwa Majumdar and Eva Weiler and Christian Möstl},
  year = {2025},
  eprint = {2512.09738},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.09738},
}

@article{bao2025data,
  title = {Data assimilation and discrepancy modeling with shallow recurrent decoders},
  author = {Yuxuan Bao and J. Nathan Kutz},
  year = {2025},
  eprint = {2512.01170},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.01170},
}

@article{valero2025streaming,
  title = {Towards Streaming Prediction of Oscillatory Flows: A Data Assimilation and Machine Learning Approach},
  author = {Miguel M. Valero and Marcello Meldi},
  year = {2025},
  eprint = {2511.15758},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.15758},
}

@article{hazarika2025swrviz,
  title = {SWR-Viz: AI-assisted Interactive Visual Analytics Framework for Ship Weather Routing},
  author = {Subhashis Hazarika and Leonard Lupin-Jimenez and Rohit Vuppala and Ashesh Chattopadhyay and Hon Yung Wong},
  year = {2025},
  eprint = {2511.15182},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.15182},
}

@article{kawasaki2025exploring,
  title = {Exploring Ultra Rapid Data Assimilation Based on Ensemble Transform Kalman Filter with the Lorenz 96 Model},
  author = {Fumitoshi Kawasaki and Atsushi Okazaki and Kenta Kurosawa and Shunji Kotsuki},
  year = {2025},
  eprint = {2511.12620},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.12620},
}

@article{wang2025dambench,
  title = {DAMBench: A Multi-Modal Benchmark for Deep Learning-based Atmospheric Data Assimilation},
  author = {Hao Wang and Zixuan Weng and Jindong Han and Wei Fan and Hao Liu},
  year = {2025},
  eprint = {2511.01468},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.01468},
}

@article{laloyaux2025data,
  title = {Using data assimilation tools to dissect GraphDOP},
  author = {Patrick Laloyaux and Mihai Alexe and Eulalie Boucher and Peter Lean and Ewan Pinnington and Simon Lang and Tobias Necker and Anthony McNally},
  year = {2025},
  eprint = {2510.27388},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.27388},
}

@article{wu2025interpolated,
  title = {Interpolated Discrepancy Data Assimilation for PDEs with Sparse Observations},
  author = {Tong Wu and Humberto Godinez and Vitaliy Gyrya and James M. Hyman},
  year = {2025},
  eprint = {2510.24944},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.24944},
}

@article{sun2025losda,
  title = {LO-SDA: Latent Optimization for Score-based Atmospheric Data Assimilation},
  author = {Jing-An Sun and Hang Fan and Junchao Gong and Ben Fei and Kun Chen and Fenghua Ling and Wenlong Zhang and Wanghan Xu and Li Yan and Pierre Gentine and Lei Bai},
  year = {2025},
  eprint = {2510.22562},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.22562},
}

@article{feireisl2025continuous,
  title = {Continuous data assimilation applied to the Rayleigh-Benard problem for compressible fluid flows},
  author = {Eduard Feireisl and Wladimir Neves},
  year = {2025},
  eprint = {2510.20316},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.20316},
}

@article{liu2025nonintrusive,
  title = {Non-intrusive structural-preserving sequential data assimilation},
  author = {Lizuo Liu and Tongtong Li and Anne Gelb},
  year = {2025},
  eprint = {2510.19701},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.19701},
}

@article{gong2025dawp,
  title = {DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space},
  author = {Junchao Gong and Jingyi Xu and Ben Fei and Fenghua Ling and Wenlong Zhang and Kun Chen and Wanghan Xu and Weidong Yang and Xiaokang Yang and Lei Bai},
  year = {2025},
  eprint = {2510.15978},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.15978},
}

@article{li2025small,
  title = {Small Ensemble-based Data Assimilation: A Machine Learning-Enhanced Data Assimilation Method with Limited Ensemble Size},
  author = {Zhilin Li and Zhou Yao and Xianglong Li and Zeng Liu and Zhaokuan Lu and Shanlin Xu and Seungnam Kim and Guangyao Wang},
  year = {2025},
  eprint = {2510.15284},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.15284},
}

@article{fan2025incorporating,
  title = {Incorporating Multivariate Consistency in ML-Based Weather Forecasting with Latent-space Constraints},
  author = {Hang Fan and Yi Xiao and Yongquan Qu and Fenghua Ling and Ben Fei and Lei Bai and Pierre Gentine},
  year = {2025},
  eprint = {2510.04006},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.04006},
}

@article{zhou2025joint,
  title = {On the joint observability of flow fields and particle properties from Lagrangian trajectories: evidence from neural data assimilation},
  author = {Ke Zhou and Samuel J. Grauer},
  year = {2025},
  eprint = {2510.00479},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.00479},
}

@article{moazzami2025metalearning,
  title = {Meta-Learning Fourier Neural Operators for Hessian Inversion and Enhanced Variational Data Assimilation},
  author = {Hamidreza Moazzami and Asma Jamali and Nicholas Kevlahan and Rodrigo A. Vargas-Hernández},
  year = {2025},
  eprint = {2509.22949},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.22949},
}

@article{kolic2025comparing,
  title = {Comparing Data Assimilation and Likelihood-Based Inference on Latent State Estimation in Agent-Based Models},
  author = {Blas Kolic and Corrado Monti and Gianmarco De Francisci Morales and Marco Pangallo},
  year = {2025},
  eprint = {2509.17625},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.17625},
}

@article{yun2025lagrangianeulerian,
  title = {Lagrangian-Eulerian Multiscale Data Assimilation in Physical Domain based on Conditional Gaussian Nonlinear System},
  author = {Hyeonggeun Yun and Quanling Deng},
  year = {2025},
  eprint = {2509.14586},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.14586},
}

@article{lean2025learning,
  title = {Learning from nature: insights into GraphDOP's representations of the Earth System},
  author = {Peter Lean and Mihai Alexe and Eulalie Boucher and Ewan Pinnington and Simon Lang and Patrick Laloyaux and Niels Bormann and Anthony McNally},
  year = {2025},
  eprint = {2508.18018},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2508.18018},
}

@article{qu2025pnpda,
  title = {PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models},
  author = {Yongquan Qu and Matthieu Blanke and Sara Shamekh and Pierre Gentine},
  year = {2025},
  eprint = {2508.00325},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2508.00325},
}

@article{chen2025modeling,
  title = {Modeling Partially Observed Nonlinear Dynamical Systems and Efficient Data Assimilation via Discrete-Time Conditional Gaussian Koopman Network},
  author = {Chuanqi Chen and Zhongrui Wang and Nan Chen and Jin-Long Wu},
  year = {2025},
  eprint = {2507.08749},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2507.08749},
}

@article{asefi2025generative,
  title = {Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity},
  author = {Niloofar Asefi and Leonard Lupin-Jimenez and Tianning Wu and Ruoying He and Ashesh Chattopadhyay},
  year = {2025},
  eprint = {2507.06479},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2507.06479},
}

@article{melinc2025unified,
  title = {A unified neural background-error covariance model for midlatitude and tropical atmospheric data assimilation},
  author = {Boštjan Melinc and Uroš Perkan and Žiga Zaplotnik},
  year = {2025},
  eprint = {2506.11968},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2506.11968},
}

@article{hodyss2025diffusion,
  title = {Using Diffusion Models to do Data Assimilation},
  author = {Daniel Hodyss and Matthias Morzfeld},
  year = {2025},
  eprint = {2506.02249},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2506.02249},
}

@article{ozan2025dataassimilated,
  title = {Data-assimilated model-informed reinforcement learning},
  author = {Defne E. Ozan and Andrea Nóvoa and Georgios Rigas and Luca Magri},
  year = {2025},
  eprint = {2506.01755},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2506.01755},
}

@article{sun2025alignda,
  title = {Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences},
  author = {Jing-An Sun and Hang Fan and Junchao Gong and Ben Fei and Kun Chen and Fenghua Ling and Wenlong Zhang and Wanghan Xu and Li Yan and Pierre Gentine and Lei Bai},
  year = {2025},
  eprint = {2505.22008},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.22008},
}

@article{wang2025phyda,
  title = {PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems},
  author = {Hao Wang and Jindong Han and Wei Fan and Weijia Zhang and Hao Liu},
  year = {2025},
  eprint = {2505.12882},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.12882},
}

@article{behnoudfar2025rldaunce,
  title = {RL-DAUNCE: Reinforcement Learning-Driven Data Assimilation with Uncertainty-Aware Constrained Ensembles},
  author = {Pouria Behnoudfar and Nan Chen},
  year = {2025},
  eprint = {2505.05452},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.05452},
}

@article{andry2025appa,
  title = {Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation},
  author = {Gérôme Andry and Sacha Lewin and François Rozet and Omer Rochman and Victor Mangeleer and Matthias Pirlet and Elise Faulx and Marilaure Grégoire and Gilles Louppe},
  year = {2025},
  eprint = {2504.18720},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2504.18720},
}

@article{novoa2025online,
  title = {Online model learning with data-assimilated reservoir computers},
  author = {Andrea Nóvoa and Luca Magri},
  year = {2025},
  eprint = {2504.16767},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2504.16767},
}

@article{sitwell2025ensai,
  title = {EnsAI: An Emulator for Atmospheric Chemical Ensembles},
  author = {Michael Sitwell},
  year = {2025},
  eprint = {2504.16024},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2504.16024},
}

@article{jiang2025organization,
  title = {Organization of Historical Oceanic Overturnings on Cross-Sphere Climate Signals},
  author = {Yingjing Jiang and Shaoqing Zhang and Yang Gao and Lixin Wu and Lv Lu and Zikuan Lin and Wenju Cai and Deliang Chen and L. Ruby Leung and Bin Wang and Xueshun Shen and Mingkui Li and Xiaolin Yu and Xiaopei Lin},
  year = {2025},
  eprint = {2504.06783},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2504.06783},
}

@article{higgs2025hybrid,
  title = {Hybrid machine learning data assimilation for marine biogeochemistry},
  author = {Ieuan Higgs and Ross Bannister and Jozef Skákala and Alberto Carrassi and Stefano Ciavatta},
  year = {2025},
  eprint = {2504.05218},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2504.05218},
}

@article{limousin2025deep,
  title = {Deep learning in the abyss: a stratified Physics Informed Neural Network for data assimilation},
  author = {Vadim Limousin and Nelly Pustelnik and Bruno Deremble and Antoine Venaille},
  year = {2025},
  eprint = {2503.19160},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2503.19160},
}

@article{pikovnik2025radiosondeconstrained,
  title = {Radiosonde-constrained reconstructions reveal a weakening Northern Hadley circulation},
  author = {Matic Pikovnik and Žiga Zaplotnik},
  year = {2025},
  eprint = {2503.05331},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2503.05331},
}

@article{wang2025feature,
  title = {Feature Engineering Approach to Building Load Prediction: A Case Study for Commercial Building Chiller Plant Optimization in Tropical Weather},
  author = {Zhan Wang and Chen Weidong and Huang Zhifeng and Md Raisul Islam and Chua Kian Jon},
  year = {2025},
  eprint = {2502.15780},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2502.15780},
}

@article{chen2025flowdas,
  title = {FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation},
  author = {Siyi Chen and Yixuan Jia and Qing Qu and He Sun and Jeffrey A Fessler},
  year = {2025},
  eprint = {2501.16642},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2501.16642},
}

@article{yang2025tensorvar,
  title = {Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation},
  author = {Yiming Yang and Xiaoyuan Cheng and Daniel Giles and Sibo Cheng and Yi He and Xiao Xue and Boli Chen and Yukun Hu},
  year = {2025},
  eprint = {2501.13312},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2501.13312},
}

@article{liang2025ensemble,
  title = {Ensemble score filter with image inpainting for data assimilation in tracking surface quasi-geostrophic dynamics with partial observations},
  author = {Siming Liang and Hoang Tran and Feng Bao and Hristo G. Chipilski and Peter Jan van Leeuwen and Guannan Zhang},
  year = {2025},
  eprint = {2501.12419},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2501.12419},
}

@article{ehlers2025physicsinformed,
  title = {Physics-informed neural networks for phase-resolved data assimilation and prediction of nonlinear ocean waves},
  author = {Svenja Ehlers and Norbert Hoffmann and Tianning Tang and Adrian H. Callaghan and Rui Cao and Enrique M. Padilla and Yuxin Fang and Merten Stender},
  year = {2025},
  eprint = {2501.08430},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2501.08430},
}

@article{zheng2024generating,
  title = {Generating Unseen Nonlinear Evolution in Sea Surface Temperature Using a Deep Learning-Based Latent Space Data Assimilation Framework},
  author = {Qingyu Zheng and Guijun Han and Wei Li and Lige Cao and Gongfu Zhou and Haowen Wu and Qi Shao and Ru Wang and Xiaobo Wu and Xudong Cui and Hong Li and Xuan Wang},
  year = {2024},
  eprint = {2412.13477},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2412.13477},
}

@article{quattromini2024mean,
  title = {Mean flow data assimilation using physics-constrained Graph Neural Networks},
  author = {M. Quattromini and M. A. Bucci and S. Cherubini and O. Semeraro},
  year = {2024},
  eprint = {2411.09476},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2411.09476},
}

@article{singh2024koda,
  title = {KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators},
  author = {Ashutosh Singh and Ashish Singh and Tales Imbiriba and Deniz Erdogmus and Ricardo Borsoi},
  year = {2024},
  eprint = {2409.19518},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.19518},
}

@article{si2024latentensf,
  title = {Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data},
  author = {Phillip Si and Peng Chen},
  year = {2024},
  eprint = {2409.00127},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.00127},
}