Hybrid machine learning data assimilation for marine biogeochemistry
Fuente:
arXiv
Saved in:
| Main Authors: | Higgs, Ieuan, Bannister, Ross, Skákala, Jozef, Carrassi, Alberto, Ciavatta, Stefano |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tailoring data assimilation to discontinuous Galerkin models
by: Pasmans, Ivo, et al.
Published: (2023)
by: Pasmans, Ivo, et al.
Published: (2023)
Ensemble Kalman filter in latent space using a variational autoencoder pair
by: Pasmans, Ivo, et al.
Published: (2025)
by: Pasmans, Ivo, et al.
Published: (2025)
Global atmospheric data assimilation with multi-modal masked autoencoders
by: Vandal, Thomas J., et al.
Published: (2024)
by: Vandal, Thomas J., et al.
Published: (2024)
Hybrid physics-data-driven modeling for sea ice thermodynamics and transfer learning
by: De Cillis, Giovanni, et al.
Published: (2026)
by: De Cillis, Giovanni, et al.
Published: (2026)
Huracan: A skillful end-to-end data-driven system for ensemble data assimilation and weather prediction
by: Ni, Zekun, et al.
Published: (2025)
by: Ni, Zekun, et al.
Published: (2025)
Generative assimilation and prediction for weather and climate
by: Yang, Shangshang, et al.
Published: (2025)
by: Yang, Shangshang, et al.
Published: (2025)
FuXi Weather: A data-to-forecast machine learning system for global weather
by: Sun, Xiuyu, et al.
Published: (2024)
by: Sun, Xiuyu, et al.
Published: (2024)
Accurate deep learning-based filtering for chaotic dynamics by identifying instabilities without an ensemble
by: Bocquet, Marc, et al.
Published: (2024)
by: Bocquet, Marc, et al.
Published: (2024)
Interpolation of mountain weather forecasts by machine learning
by: Iwase, Kazuma, et al.
Published: (2023)
by: Iwase, Kazuma, et al.
Published: (2023)
Integrating mobile and fixed monitoring data for high-resolution PM2.5 mapping using machine learning
by: Xu, Rui, et al.
Published: (2025)
by: Xu, Rui, et al.
Published: (2025)
Arnoldi Singular Vector perturbations for machine learning weather prediction
by: Winkler, Jens, et al.
Published: (2025)
by: Winkler, Jens, et al.
Published: (2025)
Improvements to the post-processing of weather forecasts using machine learning and feature selection
by: Iwase, Kazuma, et al.
Published: (2026)
by: Iwase, Kazuma, et al.
Published: (2026)
XiChen: A global weather observation-to-forecast machine learning system via four-dimensional variational gradient-guided flexible assimilation
by: Wang, Wuxin, et al.
Published: (2025)
by: Wang, Wuxin, et al.
Published: (2025)
Estimation of AMOC transition probabilities using a machine learning based rare-event algorithm
by: Jacques-Dumas, Valérian, et al.
Published: (2024)
by: Jacques-Dumas, Valérian, et al.
Published: (2024)
FuXi-2.0: Advancing machine learning weather forecasting model for practical applications
by: Zhong, Xiaohui, et al.
Published: (2024)
by: Zhong, Xiaohui, et al.
Published: (2024)
A competitive baseline for deep learning enhanced data assimilation using conditional Gaussian ensemble Kalman filtering
by: Malik, Zachariah, et al.
Published: (2024)
by: Malik, Zachariah, et al.
Published: (2024)
FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design
by: Dunstan, Tom, et al.
Published: (2025)
by: Dunstan, Tom, et al.
Published: (2025)
Generative machine learning methods for multivariate ensemble post-processing
by: Chen, Jieyu, et al.
Published: (2022)
by: Chen, Jieyu, et al.
Published: (2022)
A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics
by: Sorensen, Benedikt Barthel, et al.
Published: (2024)
by: Sorensen, Benedikt Barthel, et al.
Published: (2024)
Tackling extreme urban heat: a machine learning approach to assess the impacts of climate change and the efficacy of climate adaptation strategies in urban microclimates
by: Buster, Grant, et al.
Published: (2024)
by: Buster, Grant, et al.
Published: (2024)
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data
by: Papacharalampous, Georgia, et al.
Published: (2023)
by: Papacharalampous, Georgia, et al.
Published: (2023)
Sea wave data reconstruction using micro-seismic measurements and machine learning methods
by: Iafolla, Lorenzo, et al.
Published: (2024)
by: Iafolla, Lorenzo, et al.
Published: (2024)
Update hydrological states or meteorological forcings? Comparing data assimilation methods for differentiable hydrologic models
by: Jamaat, Amirmoez, et al.
Published: (2025)
by: Jamaat, Amirmoez, et al.
Published: (2025)
Physics-informed neural networks for phase-resolved data assimilation and prediction of nonlinear ocean waves
by: Ehlers, Svenja, et al.
Published: (2025)
by: Ehlers, Svenja, et al.
Published: (2025)
Embedding machine-learnt sub-grid variability improves climate model biases
by: Giles, Daniel, et al.
Published: (2024)
by: Giles, Daniel, et al.
Published: (2024)
On the importance of learning non-local dynamics for stable data-driven climate modeling: A 1D gravity wave-QBO testbed
by: Pahlavan, Hamid A., et al.
Published: (2024)
by: Pahlavan, Hamid A., et al.
Published: (2024)
Toward generative machine learning for boosting ensembles of climate simulations
by: Gooya, Parsa, et al.
Published: (2026)
by: Gooya, Parsa, et al.
Published: (2026)
Prediction of steady states in a marine ecosystem model by a machine learning technique
by: Mahfuz, Sarker Miraz, et al.
Published: (2025)
by: Mahfuz, Sarker Miraz, et al.
Published: (2025)
Inductive biases in deep learning models for weather prediction
by: Thuemmel, Jannik, et al.
Published: (2023)
by: Thuemmel, Jannik, et al.
Published: (2023)
Projecting U.S. coastal storm surge risks and impacts with deep learning
by: Rice, Julian R., et al.
Published: (2025)
by: Rice, Julian R., et al.
Published: (2025)
Accurate and Efficient Hybrid-Ensemble Atmospheric Data Assimilation in Latent Space with Uncertainty Quantification
by: Fan, Hang, et al.
Published: (2026)
by: Fan, Hang, et al.
Published: (2026)
A Physics-informed machine learning model for time-dependent wave runup prediction
by: Naeini, Saeed Saviz, et al.
Published: (2024)
by: Naeini, Saeed Saviz, et al.
Published: (2024)
Regional climate risk assessment from climate models using probabilistic machine learning
by: Wan, Zhong Yi, et al.
Published: (2024)
by: Wan, Zhong Yi, et al.
Published: (2024)
Advancing Seasonal Prediction of Tropical Cyclone Activity with a Hybrid AI-Physics Climate Model
by: Zhang, Gan, et al.
Published: (2025)
by: Zhang, Gan, et al.
Published: (2025)
A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime
by: Schloer, Jakob, et al.
Published: (2024)
by: Schloer, Jakob, et al.
Published: (2024)
Nowcast3D: Reliable precipitation nowcasting via gray-box learning
by: Chen, Huaguan, et al.
Published: (2025)
by: Chen, Huaguan, et al.
Published: (2025)
FuXi-Nowcast: Environment-conditioned deep learning for severe convection nowcasting
by: Chen, Lei, et al.
Published: (2025)
by: Chen, Lei, et al.
Published: (2025)
ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses
by: Watt-Meyer, Oliver, et al.
Published: (2024)
by: Watt-Meyer, Oliver, et al.
Published: (2024)
Simulation-informed deep learning for enhanced SWOT observations of fine-scale ocean dynamics
by: Cutolo, Eugenio, et al.
Published: (2025)
by: Cutolo, Eugenio, et al.
Published: (2025)
Crowdsourcing the Frontier: Advancing Hybrid Physics-ML Climate Simulation via a $50,000 Kaggle Competition
by: Lin, Jerry, et al.
Published: (2025)
by: Lin, Jerry, et al.
Published: (2025)
Similar Items
-
Tailoring data assimilation to discontinuous Galerkin models
by: Pasmans, Ivo, et al.
Published: (2023) -
Ensemble Kalman filter in latent space using a variational autoencoder pair
by: Pasmans, Ivo, et al.
Published: (2025) -
Global atmospheric data assimilation with multi-modal masked autoencoders
by: Vandal, Thomas J., et al.
Published: (2024) -
Hybrid physics-data-driven modeling for sea ice thermodynamics and transfer learning
by: De Cillis, Giovanni, et al.
Published: (2026) -
Huracan: A skillful end-to-end data-driven system for ensemble data assimilation and weather prediction
by: Ni, Zekun, et al.
Published: (2025)