Cover Image

Volador 1.0: A Data-Driven Air-Sea Full-Coupling Regional Forecast Model with Submesoscale-Permitting Based on MOE-Swin-Transformer Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Yuhang, Wang, Jianxin, Qian, Yu-kun, Li, Yineng, Liu, Yahui, Gong, Yankun, Tang, Shilin, Peng, Shiqiu, Song, Tao
Format:	Preprint
Published:	2026
Subjects:	Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Data-Driven Approach for Parameterizing Submesoscale Vertical Buoyancy Fluxes in the Ocean Mixed Layer
by: Bodner, Abigail, et al.
Published: (2023)

A Theory for Wind Work on Oceanic Mesoscales and Submesoscales
by: Rai, Shikhar, et al.
Published: (2024)

A Neural Network-Based Submesoscale Vertical Heat Flux Parameterization and Its Implementation in Regional Ocean Modeling System (ROMS)
by: Zhou, Shuyi, et al.
Published: (2024)

Submesoscale and boundary layer turbulence under mesoscale forcing in the upper ocean
by: Peng, S., et al.
Published: (2026)

Demographics of Mesoscale Eddies in an Eddy-Permitting Ocean Model and Reanalysis
by: Lombardi, Benjamin, et al.
Published: (2026)

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

Data-driven Mesoscale Weather Forecasting Combining Swin-Unet and Diffusion Models
by: Hirabayashi, Yuta, et al.
Published: (2025)

Stable Machine-Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection-Permitting Simulations
by: Hu, Zeyuan, et al.
Published: (2024)

Data Driven Air Entrainment Velocity Parameterization by Breaking Waves
by: Zhou, Xiaohui, et al.
Published: (2026)

Arctic Oscillation Modulation of Winter Air-Sea Coupling in the East/Japan Sea: Persistence, Timescales, and Extremes
by: Lim, Gyuchang, et al.
Published: (2025)

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

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)

Impact of Data-Driven Eddy Parameterization on Climate State in an Idealized Coupled CESM Model
by: Shi, Jia-Rui, et al.
Published: (2026)

A Data-Driven Regional Model for Skillful Medium-Range Typhoon Prediction
by: Niu, Zeyi, et al.
Published: (2026)

Difference Learning for Air Quality Forecasting Transport Emulation
by: Chen, Reed River, 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)

Ecosystem Evolution and Drivers across the Tibetan Plateau and Surrounding Regions
by: Xie, Yiran, et al.
Published: (2025)

OneForecast: A Universal Framework for Global and Regional Weather Forecasting
by: Gao, Yuan, et al.
Published: (2025)

Twenty-Year Review of Outdoor Air Quality in Utah, USA
by: Flowerday, Callum E., et al.
Published: (2024)

Rennes Metropolis Air Quality Dataset: Microsensor-Based Measurements
by: Bodin, François, et al.
Published: (2025)

Regional Ocean Forecasting with Hierarchical Graph Neural Networks
by: Holmberg, Daniel, et al.
Published: (2024)

S$^2$Transformer: Scalable Structured Transformers for Global Station Weather Forecasting
by: Chen, Hongyi, et al.
Published: (2025)

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)

Utilizing Low-Cost Sensors to Monitor Indoor Air Quality in Mongolian Gers
by: Flowerday, Callum E., et al.
Published: (2024)

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)

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

MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model
by: Qin, Haoyu, et al.
Published: (2024)

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)

Air Quality and Greenhouse Gas Emissions Assessment of Data Centers in Texas: Quantifying Impacts and Environmental Tradeoffs
by: Eslami, Ebrahim
Published: (2025)

A Framework for Hybrid Physics-AI Coupled Ocean Models
by: Zanna, Laure, et al.
Published: (2025)

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

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)

IDRIFTNET: Physics-Driven Spatiotemporal Deep Learning for Iceberg Drift Forecasting
by: Putatunda, Rohan, et al.
Published: (2025)

Local and Regional Contributions to Tropospheric Ozone Concentrations
by: Flowerday, Callum E., et al.
Published: (2024)