Cover Image

Forecasting the Ionosphere from Sparse GNSS Data with Temporal-Fusion Transformers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Acciarini, Giacomo, Mestici, Simone, Kelebek, Halil, Wolniewicz, Linnea, Vergalla, Michael, Guhathakurta, Madhulika, Rebbapragada, Umaa, Poduval, Bala, Baydin, Atılım Güneş, Soboczenski, Frank
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics
by: Kelebek, Halil S., et al.
Published: (2025)

Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models
by: Wolniewicz, Linnea M., et al.
Published: (2025)

Efficient and High-Accuracy Ray Tracing in Discretized Ionospheric Models
by: Li, Qinglin, et al.
Published: (2025)

Assessing Ionospheric Scintillation Risk for Direct-to-Cellular Communications using Frequency-Scaled GNSS Observations
by: Darya, Abdollah Masoud, et al.
Published: (2026)

ML-Physical Fusion Models Are Accelerating the Paradigm Shift in Operational Typhoon Forecasting
by: Niu, Zeyi
Published: (2025)

NeuralODEs for VLEO simulations: Introducing thermoNET for Thermosphere Modeling
by: Izzo, Dario, et al.
Published: (2024)

Review on the Role of GNSS Meteorology in Monitoring Water Vapor for Atmospheric Physics
by: Vaquero-Martinez, Javier, et al.
Published: (2024)

Impact of Forecast Stability on Navigational Contrail Avoidance
by: Dean, Thomas R, et al.
Published: (2025)

Forecast error diagnostics in neural weather models
by: Perkan, Uros, et al.
Published: (2025)

Investigating How Neighbourhood Scores Reflect Forecast Error
by: Antonio, Bobby
Published: (2026)

Forecast error growth: A dynamic-stochastic model
by: Bach, Eviatar, et al.
Published: (2024)

Diffusion-based Probabilistic Air Quality Forecasting with Mechanistic Insight
by: Ding, Ao, et al.
Published: (2026)

Understanding Left-Moving Supercells: Environmental Factors and Forecasting Challenges
by: Zeeb, Aaron W., et al.
Published: (2026)

Deep-Learned Observation Operators for Artificial Intelligence Weather Forecasting Models
by: Lieberman, Kelsey, et al.
Published: (2026)

Meteorologically-Informed Adaptive Conformal Prediction for Tropical Cyclone Intensity Forecasting
by: Chen, Xuepeng, et al.
Published: (2025)

How does an AI Weather Model Learn to Forecast Extreme Weather?
by: Baiman, Rebecca, et al.
Published: (2025)

The Jive Verification System and its Transformative Impact on Weather Forecasting Operations
by: Loveday, Nicholas, et al.
Published: (2024)

Extending SST Anomaly Forecasts Through Simultaneous Decomposition of Seasonal and PDO Modes
by: Kallummal, Rameshan
Published: (2026)

Evaluating the Predictability of Selected Weather Extremes with Aurora, an AI Weather Forecast Model
by: Huang, Qin, et al.
Published: (2026)

Fusion of multi-source precipitation records via coordinate-based generative model
by: Sun, Sencan, et al.
Published: (2025)

Probabilistic Seasonal Streamflow Forecasting Across California's Sierra Nevada Watersheds with Agentic AI
by: Lopez-Gomez, Ignacio, et al.
Published: (2026)

Toward Trustworthy Short-Range Forecasts with AFNO: From Skill Metrics to Conservation Checks
by: Sunil, Akshay, et al.
Published: (2026)

Comparing Ocean Forecasts Driven with Machine Learning-based and Physics-based Atmospheric Forcings
by: Zhou, Xiaobing, et al.
Published: (2026)

XiHe: A Data-Driven Model for Global Ocean Eddy-Resolving Forecasting
by: Wang, Xiang, et al.
Published: (2024)

BiXiao: An AI-Based Atmospheric Environment Forecasting Model Using Discontinuous Grids
by: Ji, Shengxuan, et al.
Published: (2025)

A Tolerance-Based Framework for Spatio-Temporal Forecast Validation Using the gamma-Index
by: Voyant, Cyril
Published: (2026)

Evaluation of the Real-time El Niño Forecasts by the Climate Network Approach between 2011 and Present
by: Bunde, A., et al.
Published: (2024)

TSformer: A Non-autoregressive Spatial-temporal Transformers for 30-day Ocean Eddy-Resolving Forecasting
by: Wang, Guosong, et al.
Published: (2024)

Skill of Long-Range Forecasts of Ocean Wave Spectra from the Navy ESPC Version 2 System
by: Rogers, W. E., et al.
Published: (2025)

On Using Medium-Range Ensemble Forecasts for Storm Transposition of Synoptic-Scale Systems in Probable Maximum Precipitation Estimation
by: Mure-Ravaud, Mathieu
Published: (2026)

Terrain-aware Deep Learning for Wind Energy Applications: From Kilometer-scale Forecasts to Fine Wind Fields
by: Lin, Chensen, et al.
Published: (2025)

YingLong-weather: AI-Based Limited Area Models for Forecasting of Non-precipitation Surface Meteorological Variables
by: Xu, Pengbo, et al.
Published: (2024)

MAG-Net: Physics-Aware Multi-Modal Fusion of Geostationary Satellite and Radar for Severe Convective Precipitation Nowcasting
by: Chen, Dandan, et al.
Published: (2026)

A Cloud Condensation Model on Insoluble Nuclei Validated with Radiosonde and Ceilometer Data: Implications for Dust based Rainfall Forecasting
by: Arielly, Rani, et al.
Published: (2026)

Machine Learning (ML)-Physics Fusion Model Outperforms Both Physics-Only and ML-Only Models in Typhoon Predictions
by: Niu, Zeyi, et al.
Published: (2025)

Improving Post-Processing for Quantitative Precipitation Forecasting Using Deep Learning: Learning Precipitation Physics from High-Resolution Observations
by: Lee, ChangJae, et al.
Published: (2025)

Predicting Forecast Error for the HRRR Using LSTM Neural Networks: A Comparative Study Using New York and Oklahoma State Mesonets
by: Evans, David Aaron, et al.
Published: (2025)

Volador 1.0: A Data-Driven Air-Sea Full-Coupling Regional Forecast Model with Submesoscale-Permitting Based on MOE-Swin-Transformer Framework
by: Zhu, Yuhang, et al.
Published: (2026)

Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model
by: Loveday, Nicholas, et al.
Published: (2025)

Possible, Yes; Ignorant, Perhaps: A Scorecard for Possibilistic Forecasts
by: Lawson, John R.
Published: (2026)