Data Assimilation

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12 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

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  1. Benchmarking Generative Models for Weather Data Assimilation on Real Station Observations

    Sep 30, 2026Ruizhe Huang, Qidong Yang, Jonathan Giezendanner +1Data AssimilationEra5 Reanalysis Data

    Massachusetts Institute of Technology, Cambridge, MA, USA

  2. Parameterization method of reservoir properties for ensemble-based data assimilation using intermediate latent space of StyleGAN

    Sep 30, 2026Marcio A. Sampaio, Paulo H. Ranazzi, Martin J. BluntData AssimilationLatent Space

    Departamento de Engenharia de Minas e de Petróleo, Escola Politécnica, Universidade de São Paulo, 05508-030, SP, Brasil. · Department of Earth Science and Engineering, Imperial College London, South Kensington, London, UK

  3. C-STRIDE: An Observation-Driven AI Digital Twin for Predicting Basin-Wide Flood Fields from Sparse Stream-Gauge Histories

    Sep 30, 2026Yanjie Tong, Phillip Si, Yuan Qiu +1Accurate Flood PredictionProbabilistic Basin-Scale Runoff Lstms

    School of Computational Science and Engineering, Georgia Institute of Technology, 756 West Peachtree Street Northwest, Atlanta, 30308, GA, USA

  4. Correct then Forecast: Observer State-Space Models for Time Series Forecasting

    Sep 27, 2026Alexis-Raja Brachet, Guillaume Clavier--Frémond, Abdelhakim Ziani +2State Space ModelsTime Series

    MICS, CentraleSup´elec, Universit´e Paris-Saclay, France · CentraleSup´elec, IETR UMR CNRS 6164, France · Universit`a di Torino, Torino, Italy.

  5. Improving Ensemble Filters with Flow Matching

    Sep 23, 2026Haoyuan Chen, Alexandre ThiéryData AssimilationBayesian Filtering

    Department of Statistics and Data Science National University of Singapore 6 Science Drive 2, Singapore 117546

  6. PR-Smoother: Simulator-Preserving Non-Gaussian Smoothing for Data Assimilation

    Sep 22, 2026Yuta TarumiData AssimilationSmoothing

    iTHEMS RIKEN Kobe, Japan

  7. Physical knowledge on historical data matters more than enforcing physical constraints on the forecast

    Sep 17, 2026Etienne Lehembre, Pascal Audigane, Vincent Nguyen +2Parametric Physics-Informed Neural NetworkProbabilistic Basin-Scale Runoff Lstms

    CA, LIFO · Université d’Orléans, INSA CVL, LIFO, UR 4022, Orléans, France · BRGM +3

  8. Physics-Informed Hemodynamic Modeling for Data-Free Prediction and Sparse-Data Assimilation

    Sep 16, 2026Xi Chen, Jianchuan Yang, Hongde Li +5Coronary AngiographyCardiovascular Risk Prediction

    Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China. · Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China. · Department of Cardiology, Laboratory of Cardiac Structure and Function at Institute of Cardiovascular Diseases, and Cardiac Structure and Function Research Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, No.37 Guoxue Street, Chengdu 610041, P.R. China. +2

  9. Generative models for simulation based filtering: Formulations and Empirical Comparisons

    Sep 14, 2026Mohammad Al-Jarrah, Wei Deng, Bamdad Hosseini +1Bayesian FilteringParticle Filters

    Department of Aeronautics & Astronautics, University of Washington, Seattle · Department of Applied Mathematics, University of Washington, Seattle · ML Research, Morgan Stanley

  10. Improving Reduced-Order Rotating Detonation Engine Models with Data Assimilation and Machine Learning

    Sep 14, 2026Ashwin Suriyanarayanan, Romit MaulikReduced-Order ModelsData Assimilation

    School of Mechanical Engineering, Purdue University, West Lafayette, IN-47906

  11. Observation-Anchored Selective Assimilation for Longitudinal Tumor-State Proxy Forecasting in Post-Treatment Glioma

    Sep 14, 2026Yeonjae Jung, Minwoo ShinGliomaPrognostics

    Department of Software, Yonsei University, Wonju, 26493, Republic of Korea

  12. Steering Diffusion Priors with Sparse Observations for High-Resolution Temperature Downscaling

    Sep 8, 2026Anirudh Avireddy, Manmeet Singh, Shivanshi Singh +4Dynamical DownscalingLand Surface Temperature

    Shiv Nadar University, India · Western Kentucky University, USA · Ashoka University, India

  13. Uncertainty-Aware End-to-End AI Weather Forecasting: Disentangling Observation and Model Contributions

    Aug 31, 2026Rodrigo Almeida, Noelia Otero, Jost Arndt +3Numerical Weather PredictionData Assimilation

    Applied Machine Learning Group, Fraunhofer Heinrich-Hertz Institute, 10587 Berlin, Germany · Department of Electrical Engineering and Computer Science, Technische Universität Berlin, 10587 Berlin, Germany · BIFOLD - Berlin Institute for the Foundations of Learning and Data, 10587 Berlin, Germany

  14. Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching

    Aug 5, 2026Dibyajyoti Chakraborty, Romit MaulikData AssimilationEra5 Reanalysis Data

    Information Sciences and Technology The Pennsylvania State University University Park, Pennsylvania · School of Mechanical Engineering Purdue University West Lafayette, Indiana

  15. Cardiovascular Digital Twins from Physics Based to Data Driven Approaches

    Aug 3, 2026Emmanuel Lwele, Francis ChikwetoCardiovascular Risk PredictionData-Driven

    Materials and Engineering Research Institute, Sheffield Hallam University, Sheffield, United Kingdom. · Medical Engineering and Cardiology Department, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Sendai, Japan.

  16. Benchmarking ConvLSTM for One-Day-Ahead IMDAA Rainfall-Field Prediction across Four Indian Cities

    Jul 29, 2026Tanmay Ghosh, Shaurabh Anand, Rakesh Gomaji Nannewar +1Precipitation NowcastingCnn-Lstm

    National Institute of Advanced Studies, Indian Institute of Science Campus, Bengaluru, India. · School of Development, Azim Premji University, Bengaluru, India. · Complex Systems Programme, National Institute of Advanced Studies, Indian Institute of Science Campus, Bengaluru, India.

  17. Ensemble Controlled-Flow Filtering for Implicit Data Assimilation

    Jul 14, 2026Zhuoyuan Li, Yue Zhao, Ming LiData AssimilationExtended Kalman Filter

    Institute for Functional Intelligent Materials, National University of Singapore, Singapore 117544, Singapore · School of Mathematical Sciences, Fudan University, Shanghai 200433, China

  18. Generative Model Proposal based Particle Filtering for Data Assimilation

    Jul 1, 2026Chandni Nagda, Mayank Shrivastava, Gudrun Thorkelsdottir +3Particle FiltersData Assimilation

    University of Illinois at Urbana-Champaign · 2NVIDIA

  19. Uncertainty quantification via conformal prediction in data assimilation

    Jun 25, 2026Catherine George, Alireza Javanmardi, Tijana Janjić +1Online Conformal PredictionData Assimilation

    Mathematisches Institut für Maschinelles Lernen und Data Science, Katholische Universität Eichstätt-Ingolstadt · Institute of Informatics, LMU Munich, Munich Center for Machine Learning (MCML)

  20. Learning Probabilistic Filters with Strictly Proper Scoring Rules

    Jun 25, 2026Eviatar Bach, Ricardo Baptista, Jochen Bröcker +2Bayesian FilteringData Assimilation

    Department of Meteorology, University of Reading Brian Hoskins Building, Reading, RG6 6ET, UK · Department of Mathematics and Statistics, University of Reading Pepper Lane, Reading, RG6 6AX, UK · National Centre for Earth Observation Brian Hoskins Building, University of Reading, Reading, RG6 6ET, UK +5

  21. ΩΩ: Operator-based Mixture Ensemble for Generative Assimilation

    Jun 18, 2026Pouria Behnoudfar, Nan ChenData AssimilationNon-Gaussianity

    University of Wisconsin-Madison, Department of Mathematics, Madison, WI, USA

  22. Graphical conditional generative modeling for digital twin modeling

    Jun 15, 2026Zongren Zou, Théo Bourdais, Ricardo Baptista +1Cognitive Digital TwinsSurrogate Models

    Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA · Department of Statistical Sciences, University of Toronto, Toronto, Canada

  23. Feature-preserving Latent-EnKF for Data Assimilation of Flows with Shocks

    Jun 10, 2026Hemanth Chandravamsi, Hangchuan Hu, Ponkrshnan Thiagarajan +1Data AssimilationShock Propagation

    Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA

  24. Neural-Parameterized Cellular Automata for Wildfire Spread

    Jun 10, 2026Maksym Zhenirovskyy, Ion Matei, Rohit Vuppala +2Wildfire PredictionWildfire

    Fujitsu Research of America, 4655 Great America Pkwy, Santa Clara, 95124, CA, USA

  25. Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques

    Jun 9, 2026Guido Di Federico, Wenchao Teng, Louis J. DurlofskyData AssimilationSubsurface Scattering

    Department of Energy Science & Engineering, Stanford University, Stanford, CA, 94305, USA

  26. Systematic LLM Translation of Legacy Scientific Code to Differentiable Frameworks: Application to a Land Surface Model

    Jun 4, 2026Aya Lahlou, Linnia Hawkins, Pierre GentineDifferentiable PhysicsData Assimilation

    Department of Earth and Environmental Engineering, Columbia University, New York, United States.

  27. Diffusion Model-Based Data Assimilation for Real-World Energy Consumption Forecasting

    May 27, 2026Ruoyu Hu, Dahai Yu, Feng Bao +2Data AssimilationElectricity Price Forecasting

    Department of Mathematics, Florida State University, Tallahassee, 32306, Florida, USA · Department of Computer Science, Florida State University, Tallahassee, 32306, Florida, USA · Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, 37831, Tennessee, USA

  28. An End-to-End PyTorch Interface for Differentiable PDE Solvers: A RANS Model-Correction Study

    May 19, 2026Luca Saverio, Michele Alessandro Bucci, Gianmarco Farro +2Neural Partial Differential Equation SolversPartial Differential Equations

    MONHADE · Digital Sciences & Technologies Department, Safran Tech, Magny-Les-Hameaux, 78114, France. · DAAA, ONERA, Institut Polytechnique de Paris, Meudon, 92190, France. +1

  29. SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate

    May 18, 2026Lifu Wei, Yinuo Ren, Naichen Shi +1Data AssimilationParticle Filters

    Department of Mechanical Engineering, Northwestern University, Evanston, IL, United States · Institute for Computational & Mathematical Engineering, Stanford University, Stanford, CA, United States · Department of Industrial Engineering & Management Sciences, Northwestern University, Evanston, IL, United States

  30. Towards a Foundation Model for the Martian Atmosphere

    May 16, 2026Sujit Roy, Udayshankar Nair, Yuling Wu +16Atmospheric DynamicsData Assimilation

    Earth System Science Center, University of Alabama in Huntsville, AL, USA · NASA Marshall Space Flight Center, Huntsville, AL, USA · Department of Electrical & Computer Engineering, Colorado State University, Fort Collins, CO, USA +7

  31. Weighted Flow Matching and Physics-Informed Nonlinear Filtering for Parameter Estimation in Digital Twins

    May 16, 2026Yasar Yanik, Himadri Basu, Ricardo G. Sanfelice +1Cognitive Digital TwinsDigital Twins

    Department of Applied Mathematics, University of California, Santa Cruz, CA 95064, USA · Department of Electrical and Computer Engineering, University of California, Santa Cruz, CA 95064, USA

  32. ForcingDAS: Unified and Robust Data Assimilation via Diffusion Forcing

    May 14, 2026Yixuan Jia, Siyi Chen, Yida Pan +9Data AssimilationPrecipitation Nowcasting

    University of Michigan, Ann Arbor · Michigan State University · Los Alamos National Laboratory

  33. Earth-o1: A Grid-free Observation-native Atmospheric World Model

    May 7, 2026Junchao Gong, Kaiyi Xu, Wangxu Wei +22Atmospheric DynamicsData Assimilation

    School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China. · School of Information Science and Technology, University of Science and Technology of China, Anhui, China. · State Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China. +5

  34. Online Generalised Predictive Coding

    May 4, 2026Mehran H. Z. Bazargani, Szymon Urbas, Adeel Razi +2Predictive CodingData Assimilation

    Insight Research Ireland Centre, UCD, Dublin, Ireland. · UCD School of Mathematics and Statistics, UCD, Belfield, Dublin, Ireland. · Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia. +5

  35. Learning Discriminators for Resampling in the Ensemble Gaussian Mixture Filter through a Normalizing Flow Approach

    May 1, 2026Zain Jabbar, Andrey A. PopovParticle FiltersNormalizing Flows

  36. Equation-Free Digital Twins for Nonlinear Structural Dynamics

    May 1, 2026Mohammad Mahdi Abaei, Ahmad BahooToroody, Arttu Polojärvi +4Dynamic Mode DecompositionOffshore Wind Turbine

    Department of Mechanical Engineering, Marine Technology and Arctic Group, Aalto University, Finland · Independent Expert, Digital Twin Technology, Ribe, Denmark · Institute for Risk and Reliability, Leibniz University Hannover, Germany

  37. Acceleration of horizontal numerical advection for atmospheric modeling through surrogate modeling with temporal coarse-graining

    Apr 30, 2026Manho Park, Christopher V. Rackauckas, Christopher W. TessumOne-Dimensional Viscous Burgers EquationSurrogate Models

    The Grainger College of Engineering, Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign · Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA

  38. Deep Learning of Solver-Aware Turbulence Closures from Nudged LES Dynamics

    Apr 26, 2026Ashwin Suriyanarayanan, Dibyajyoti Chakraborty, Romit MaulikTurbulent FlowsData Assimilation

    School of Mechanical Engineering Purdue University West Lafayette, IN 47907 · College of Information Sciences and Technology Pennsylvania State University University Park, PA 16802

  39. Generative Flow Networks for Model Adaptation in Digital Twins of Natural Systems

    Apr 22, 2026Pascal Archambault, Houari Sahraoui, Eugene SyrianiDigital TwinsParameter-Efficient Adaptation

    DIRO, Université de Montréal, Quebec, Canada.

  40. Skillful Global Ocean Emulation and the Role of Correlation-Aware Loss

    Apr 20, 2026Niraj Agarwal, Timothy A. Smith, Sergey Frolov +1Data AssimilationOcean

    CIRES, University of Colorado, Boulder, CO, USA · NOAA Physical Sciences Laboratory, Boulder, CO, USA

  41. Global Attention with Linear Complexity for Exascale Generative Data Assimilation in Earth System Prediction

    Apr 17, 2026Xiao Wang, Zezhong Zhang, Isaac Lyngaas +10Data AssimilationScalability

    Oak Ridge National Laboratory, Oak Ridge, TN, USA · Auburn University, Auburn, AL, USA · Florida State University, Tallahassee, FL, USA +2

  42. Efficient Adaptation of ROMs for Unsteady Flows Using Data Assimilation

    Feb 26, 2026Ismaël Zighed, Andrea Nóvoa, Luca Magri +1Reduced-Order ModelsData Assimilation

    Institut Jean le Rond d’Alembert, Sorbonne Université · ISIR, Sorbonne Université · SCAI, Sorbonne Université +2

  43. Machine learning enhanced data assimilation framework for multiscale carbonate rock characterization

    Jan 27, 2026Zhenkai Bo, Ahmed H. Elsheikh, Hannah P. Menke +5Porous MediaLithology Classification

    Institute of GeoEnergy Engineering, Heriot-Watt University, Edinburgh, EH14 4AS, United Kingdom · Department of Geoscience & Engineering, Technical University of Delft, Delft, The Netherlands · PETRONAS Research Sdn Bhd, Bangi, Selangor, Malaysia

  44. GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance

    Jan 16, 2026Francisco Giral, Álvaro Manzano, Ignacio Gómez +2WindData Assimilation

    Applied Mathematics Department, ETSIAE-School of Aeronautics, Universidad Politécnica de Madrid, Spain · Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI 48109, USA.

  45. Huracan: A skillful end-to-end data-driven system for ensemble data assimilation and weather prediction

    Aug 25, 2025Zekun Ni, Jonathan Weyn, Hang Zhang +7Numerical Weather PredictionArtificial Intelligence Weather Models

    Microsoft Corporation. · Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.

  46. Flow Matching for Efficient and Scalable Data Assimilation

    Aug 18, 2025Taos Transue, Bohan Chen, So Takao +1Data AssimilationConditional Flow Matching

    Department of Mathematics and Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, 84112 · The Computing and Mathematical Sciences Department, California Institute of Technology, 1200 E California Blvd, Pasadena, CA 91125

  47. Adversarial dynamical systems characterize when data-driven learning succeeds or fails

    Jul 8, 2024Matthew J. Colbrook, Igor Mezić, Alexei StepanenkoKoopman OperatorSpectral Representation Method

    DAMTP, University of Cambridge, Cambridge, CB3 0WA, UK. · University of California, Santa Barbara, CA 93106, USA.