Impact of geophysical fields on Deep Learning-based Lagrangian drift simulations
Fuente:
arXiv
Saved in:
| Main Authors: | Botvynko, Daria, Granero-Belinchon, Carlos, Van Gennip, Simon, Benzinou, Abdesslam, Fablet, Ronan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neural ocean forecasting from sparse satellite-derived observations: a case-study for SSH dynamics and altimetry data
by: Botvynko, Daria, et al.
Published: (2025)
by: Botvynko, Daria, et al.
Published: (2025)
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)
Optimal sensor placement for the reconstruction of ocean states using differentiable Gumbel-Softmax sampling operator
by: Chapron, Oscar, et al.
Published: (2026)
by: Chapron, Oscar, et al.
Published: (2026)
Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation
by: Fan, Da, et al.
Published: (2025)
by: Fan, Da, et al.
Published: (2025)
Climate Trends of Tropical Cyclone Intensity and Energy Extremes Revealed by Deep Learning
by: Chen, Buo-Fu, et al.
Published: (2024)
by: Chen, Buo-Fu, et al.
Published: (2024)
Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields
by: Zambra, Matteo, et al.
Published: (2023)
by: Zambra, Matteo, et al.
Published: (2023)
Research on Dangerous Flight Weather Prediction based on Machine Learning
by: Liu, Haoxing, et al.
Published: (2024)
by: Liu, Haoxing, et al.
Published: (2024)
WADEPre: A Wavelet-based Decomposition Model for Extreme Precipitation Nowcasting with Multi-Scale Learning
by: Liu, Baitian, et al.
Published: (2026)
by: Liu, Baitian, et al.
Published: (2026)
Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization
by: Guo, Yizhen, et al.
Published: (2024)
by: Guo, Yizhen, et al.
Published: (2024)
A multi-scale loss formulation for learning a probabilistic model with proper score optimisation
by: Lang, Simon, et al.
Published: (2025)
by: Lang, Simon, et al.
Published: (2025)
Deep learning the sources of MJO predictability: a spectral view of learned features
by: Yao, Lin, et al.
Published: (2025)
by: Yao, Lin, et al.
Published: (2025)
Identifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event Detection
by: Pérez-Aracil, J., et al.
Published: (2024)
by: Pérez-Aracil, J., et al.
Published: (2024)
Generative Diffusion Model-based Downscaling of Observed Sea Surface Height over Kuroshio Extension since 2000
by: Han, Qiuchang, et al.
Published: (2024)
by: Han, Qiuchang, et al.
Published: (2024)
Ensemble-based, large-eddy reconstruction of wind turbine inflow in a near-stationary atmospheric boundary layer through generative artificial intelligence
by: Rybchuk, Alex, et al.
Published: (2024)
by: Rybchuk, Alex, et al.
Published: (2024)
Zero-shot Microclimate Prediction with Deep Learning
by: Deznabi, Iman, et al.
Published: (2024)
by: Deznabi, Iman, et al.
Published: (2024)
Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models
by: Brazidec, Joffrey Dumont Le, et al.
Published: (2026)
by: Brazidec, Joffrey Dumont Le, et al.
Published: (2026)
DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling
by: Li, Wenyuan, et al.
Published: (2024)
by: Li, Wenyuan, et al.
Published: (2024)
High-Resolution Probabilistic Data-Driven Weather Modeling with a Stretched-Grid
by: Nordhagen, Even Marius, et al.
Published: (2025)
by: Nordhagen, Even Marius, et al.
Published: (2025)
Ocean Wave Forecasting with Deep Learning as Alternative to Conventional Models
by: Zhang, Ziliang, et al.
Published: (2024)
by: Zhang, Ziliang, et al.
Published: (2024)
CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning
by: Lu, Bin, et al.
Published: (2024)
by: Lu, Bin, et al.
Published: (2024)
Evaluating Deep Learning Approaches for Predictions in Unmonitored Basins with Continental-scale Stream Temperature Models
by: Willard, Jared D., et al.
Published: (2024)
by: Willard, Jared D., et al.
Published: (2024)
Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations
by: Fan, Da, et al.
Published: (2023)
by: Fan, Da, et al.
Published: (2023)
Deep Learning Atmospheric Models Reliably Simulate Out-of-Sample Land Heat and Cold Wave Frequencies
by: Meng, Zilu, et al.
Published: (2025)
by: Meng, Zilu, et al.
Published: (2025)
Reconstructing the Tropical Pacific Upper Ocean using Online Data Assimilation with a Deep Learning model
by: Meng, Zilu, et al.
Published: (2024)
by: Meng, Zilu, 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)
Reinforcement Learning (RL) Meets Urban Climate Modeling: Investigating the Efficacy and Impacts of RL-Based HVAC Control
by: Yu, Junjie, et al.
Published: (2025)
by: Yu, Junjie, et al.
Published: (2025)
Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System
by: Cuervo-Londoño, Giovanny A., et al.
Published: (2025)
by: Cuervo-Londoño, Giovanny A., et al.
Published: (2025)
Generative artificial intelligence improves projections of climate extremes
by: Tie, Ruian, et al.
Published: (2025)
by: Tie, Ruian, et al.
Published: (2025)
Towards Multi-Agent Autonomous Reasoning in Hydrodynamics
by: Zhao, Jinpai, et al.
Published: (2026)
by: Zhao, Jinpai, et al.
Published: (2026)
Data-driven ensemble prediction of the global ocean
by: Huang, Qiusheng, et al.
Published: (2026)
by: Huang, Qiusheng, et al.
Published: (2026)
Multi-Fidelity Emulation of Atmospheric Correction Coefficients with Physics-Guided Kolmogorov-Arnold Networks
by: Mazid, Md Abdullah Al, et al.
Published: (2026)
by: Mazid, Md Abdullah Al, et al.
Published: (2026)
Two Hebrew folk meteorological proverbs tested: rainfall on Rosh Chodesh and Shabbat Mevarechim as predictors of monthly precipitation (Israel, 1950-2024)
by: Weinberg, Abraham Itzhak
Published: (2026)
by: Weinberg, Abraham Itzhak
Published: (2026)
Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery
by: Lagerquist, Ryan, et al.
Published: (2024)
by: Lagerquist, Ryan, et al.
Published: (2024)
Improving ensemble extreme precipitation forecasts using generative artificial intelligence
by: Sha, Yingkai, et al.
Published: (2024)
by: Sha, Yingkai, et al.
Published: (2024)
Community Research Earth Digital Intelligence Twin (CREDIT)
by: Schreck, John, et al.
Published: (2024)
by: Schreck, John, et al.
Published: (2024)
Multi-Objective Optimization of Water Resource Allocation for Groundwater Recharge and Surface Runoff Management in Watershed Systems
by: Sharifi, Abbas, et al.
Published: (2025)
by: Sharifi, Abbas, et al.
Published: (2025)
AI for operational methane emitter monitoring from space
by: Vaughan, Anna, et al.
Published: (2024)
by: Vaughan, Anna, et al.
Published: (2024)
WeatherBench 2: A benchmark for the next generation of data-driven global weather models
by: Rasp, Stephan, et al.
Published: (2023)
by: Rasp, Stephan, et al.
Published: (2023)
Improved Forecasts of Global Extreme Marine Heatwaves Through a Physics-guided Data-driven Approach
by: Shu, Ruiqi, et al.
Published: (2024)
by: Shu, Ruiqi, et al.
Published: (2024)
Similar Items
-
Neural ocean forecasting from sparse satellite-derived observations: a case-study for SSH dynamics and altimetry data
by: Botvynko, Daria, et al.
Published: (2025) -
Simulation-informed deep learning for enhanced SWOT observations of fine-scale ocean dynamics
by: Cutolo, Eugenio, et al.
Published: (2025) -
Optimal sensor placement for the reconstruction of ocean states using differentiable Gumbel-Softmax sampling operator
by: Chapron, Oscar, et al.
Published: (2026) -
Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation
by: Fan, Da, et al.
Published: (2025) -
Climate Trends of Tropical Cyclone Intensity and Energy Extremes Revealed by Deep Learning
by: Chen, Buo-Fu, et al.
Published: (2024)