Saved in:
| Main Author: | Waldowski, Bastian |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
|
| Online Access: | https://doi.org/10.5281/zenodo.14638715 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Recurrent Transformer U-Net Surrogate for Flow Modeling and Data Assimilation in Subsurface Formations with Faults
by: Han, Yifu, et al.
Published: (2025)
by: Han, Yifu, et al.
Published: (2025)
Flow Matching for Efficient and Scalable Data Assimilation
by: Transue, Taos, et al.
Published: (2025)
by: Transue, Taos, et al.
Published: (2025)
Quantifying the Peak Flow Reduction Potential of Prairie Strips Using Integrated Surface‐Subsurface Modelling
by: Betret Eustace, et al.
Published: (2026)
by: Betret Eustace, et al.
Published: (2026)
Graph Network Surrogate Model for Subsurface Flow Optimization
by: Tang, Haoyu, et al.
Published: (2023)
by: Tang, Haoyu, et al.
Published: (2023)
Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows
by: Ozan, Defne E., et al.
Published: (2025)
by: Ozan, Defne E., et al.
Published: (2025)
Preserving Nonlinear Constraints in Variational Flow Filtering Data Assimilation
by: Subrahmanya, Amit N., et al.
Published: (2024)
by: Subrahmanya, Amit N., et al.
Published: (2024)
Ensemble Score Filter for Data Assimilation of Two-Phase Flow Models in Porous Media
by: Hu, Ruoyu, et al.
Published: (2025)
by: Hu, Ruoyu, et al.
Published: (2025)
FlowDA: Accurate, Low-Latency Weather Data Assimilation via Flow Matching
by: Cheng, Ran, et al.
Published: (2026)
by: Cheng, Ran, et al.
Published: (2026)
FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
by: Chen, Siyi, et al.
Published: (2025)
by: Chen, Siyi, et al.
Published: (2025)
Data Assimilation Fundamentals
by: Evensen, Geir, et al.
Published: (2022)
by: Evensen, Geir, et al.
Published: (2022)
Using Diffusion Models to do Data Assimilation
by: Hodyss, Daniel, et al.
Published: (2025)
by: Hodyss, Daniel, et al.
Published: (2025)
Multi-Scale Data Assimilation in Turbulent Models
by: Fossella, Francesco, et al.
Published: (2025)
by: Fossella, Francesco, et al.
Published: (2025)
Subsurface Flows in Active Regions with Peculiar Magnetic Configurations
by: Jain, Kiran, et al.
Published: (2023)
by: Jain, Kiran, et al.
Published: (2023)
Efficient Real-Time Adaptation of ROMs for Unsteady Flows Using Data Assimilation
by: Zighed, Ismaël, et al.
Published: (2026)
by: Zighed, Ismaël, et al.
Published: (2026)
Data Assimilation to the Primitive Equations in $H^2$
by: Furukawa, Ken
Published: (2024)
by: Furukawa, Ken
Published: (2024)
Neural Operators for Mathematical Modeling of Transient Fluid Flow in Subsurface Reservoir Systems
by: Sirota, Daniil D., et al.
Published: (2025)
by: Sirota, Daniil D., et al.
Published: (2025)
Variational Data-Consistent Assimilation
by: Spence, Rylan, et al.
Published: (2025)
by: Spence, Rylan, et al.
Published: (2025)
Neural Incremental Data Assimilation
by: Blanke, Matthieu, et al.
Published: (2024)
by: Blanke, Matthieu, et al.
Published: (2024)
Topological Approach for Data Assimilation
by: Chumley, Max M., et al.
Published: (2024)
by: Chumley, Max M., et al.
Published: (2024)
Enhancement of Reflood Test Prediction by Integrating Machine Learning and Data Assimilation Technique
by: Nguyen Huu Tiep, et al.
Published: (2024)
by: Nguyen Huu Tiep, et al.
Published: (2024)
Improving Typhoon Predictions by Integrating Data-Driven Machine Learning Models with Physics Models Based on the Spectral Nudging and Data Assimilation
by: Niu, Zeyi, et al.
Published: (2024)
by: Niu, Zeyi, et al.
Published: (2024)
PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models
by: Qu, Yongquan, et al.
Published: (2025)
by: Qu, Yongquan, et al.
Published: (2025)
Towards Streaming Prediction of Oscillatory Flows: A Data Assimilation and Machine Learning Approach
by: Valero, Miguel M., et al.
Published: (2025)
by: Valero, Miguel M., et al.
Published: (2025)
A Closed-Form Nonlinear Data Assimilation Algorithm for Multi-Layer Flow Fields
by: Wang, Zhongrui, et al.
Published: (2024)
by: Wang, Zhongrui, et al.
Published: (2024)
A Framework of Data Assimilation for Wind Flow Fields by Physics-informed Neural Networks
by: Yan, Chang, et al.
Published: (2024)
by: Yan, Chang, et al.
Published: (2024)
Effects of Observation‐Operator Nonlinearity on the Assimilation of Visible and Infrared Radiances in Ensemble Data Assimilation
by: Lukas Kugler, et al.
Published: (2025)
by: Lukas Kugler, et al.
Published: (2025)
Scalable Data Assimilation with Message Passing
by: Key, Oscar, et al.
Published: (2024)
by: Key, Oscar, et al.
Published: (2024)
Model Error Covariance Estimation for Weak Constraint Data Assimilation
by: Babyale, Sandra R., et al.
Published: (2025)
by: Babyale, Sandra R., et al.
Published: (2025)
Exploring the Use of Machine Learning Weather Models in Data Assimilation
by: Tian, Xiaoxu, et al.
Published: (2024)
by: Tian, Xiaoxu, et al.
Published: (2024)
Application of Continuous Data Assimilation in High-Resolution Ocean Modeling
by: Larios, Adam, et al.
Published: (2023)
by: Larios, Adam, et al.
Published: (2023)
Parameter Analysis in Continuous Data Assimilation for Various Turbulence Models
by: Albanez, Debora A. F., et al.
Published: (2024)
by: Albanez, Debora A. F., et al.
Published: (2024)
Encoding the Subsurface in 3D with Seismic
by: Lasscock, Ben, et al.
Published: (2024)
by: Lasscock, Ben, et al.
Published: (2024)
Time-Dependent Strategy for Improving Aortic Blood Flow Simulations with Boundary Control and Data Assimilation
by: Anwar, Muhammad Adnan, et al.
Published: (2024)
by: Anwar, Muhammad Adnan, et al.
Published: (2024)
Subsurface Flows Associated with Formation and Flaring Activity of Solar Active Regions
by: Kosovichev, Alexander G., et al.
Published: (2024)
by: Kosovichev, Alexander G., et al.
Published: (2024)
Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations
by: Xu, Xiaoze, et al.
Published: (2024)
by: Xu, Xiaoze, et al.
Published: (2024)
Assimilation
Published: (2021)
Published: (2021)
Small Ensemble-based Data Assimilation: A Machine Learning-Enhanced Data Assimilation Method with Limited Ensemble Size
by: Li, Zhilin, et al.
Published: (2025)
by: Li, Zhilin, et al.
Published: (2025)
Integrating Score-Based Diffusion Models with Machine Learning-Enhanced Localization for Advanced Data Assimilation in Geological Carbon Storage
by: Seabra, Gabriel Serrão, et al.
Published: (2025)
by: Seabra, Gabriel Serrão, et al.
Published: (2025)
Control-Augmented Autoregressive Diffusion for Data Assimilation
by: Srivastava, Prakhar, et al.
Published: (2025)
by: Srivastava, Prakhar, et al.
Published: (2025)
Training-Free Data Assimilation with GenCast
by: Savary, Thomas, et al.
Published: (2025)
by: Savary, Thomas, et al.
Published: (2025)
Similar Items
-
Recurrent Transformer U-Net Surrogate for Flow Modeling and Data Assimilation in Subsurface Formations with Faults
by: Han, Yifu, et al.
Published: (2025) -
Flow Matching for Efficient and Scalable Data Assimilation
by: Transue, Taos, et al.
Published: (2025) -
Quantifying the Peak Flow Reduction Potential of Prairie Strips Using Integrated Surface‐Subsurface Modelling
by: Betret Eustace, et al.
Published: (2026) -
Graph Network Surrogate Model for Subsurface Flow Optimization
by: Tang, Haoyu, et al.
Published: (2023) -
Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows
by: Ozan, Defne E., et al.
Published: (2025)