Cover Image

A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fernández-Godino, M. Giselle, Chung, Wai Tong, Gowardhan, Akshay A., Ihme, Matthias, Kong, Qingkai, Lucas, Donald D., Myers, Stephen C.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Atmospheric and Oceanic Physics 68T07, 86A10, 93A30, 62M20 I.2.6; I.6.5; J.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DEF: Diffusion-augmented Ensemble Forecasting
by: Millard, David, et al.
Published: (2025)

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes
by: Jiang, Grace, et al.
Published: (2024)

Accurate typhoon intensity forecasts using a non-iterative spatiotemporal transformer model
by: Qu, Hongyu, et al.
Published: (2025)

Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learning
by: Wang, Yinan, et al.
Published: (2024)

Global kilometre-scale tropical cyclone inner-core vector winds from sparse scalar CYGNSS observations
by: Han, Xinhai, et al.
Published: (2026)

Generative AI models capture realistic sea-ice evolution from days to decades
by: Finn, Tobias Sebastian, et al.
Published: (2025)

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
by: Bonev, Boris, et al.
Published: (2025)

Physics-Informed Diffusion Model for Generating Synthetic Extreme Rare Weather Events Data
by: Yakout, Marawan, et al.
Published: (2026)

Leveraging GNN to Enhance MEF Method in Predicting ENSO
by: Ganji, Saghar, et al.
Published: (2025)

Evaluation of Deep Neural Operator Models toward Ocean Forecasting
by: Rajagopal, Ellery, et al.
Published: (2023)

Autonomous Oil Spill Response Through Liquid Neural Trajectory Modeling and Coordinated Marine Robotics
by: Kuzmenko, Hadas C., et al.
Published: (2025)

Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function
by: Subich, Christopher, et al.
Published: (2025)

A machine-learning approach to thunderstorm forecasting through post-processing of simulation data
by: Yousefnia, Kianusch Vahid, et al.
Published: (2023)

Increasing NWP Thunderstorm Predictability Using Ensemble Data and Machine Learning
by: Yousefnia, Kianusch Vahid, et al.
Published: (2025)

Physical Scales Matter: The Role of Receptive Fields and Advection in Satellite-Based Thunderstorm Nowcasting with Convolutional Neural Networks
by: Metzl, Christoph, et al.
Published: (2025)

Inferring Thunderstorm Occurrence from Vertical Profiles of Convection-Permitting Simulations: Physical Insights from a Physical Deep Learning Model
by: Yousefnia, Kianusch Vahid, et al.
Published: (2024)

Developing a Sequential Deep Learning Pipeline to Model Alaskan Permafrost Thaw Under Climate Change
by: Rahaman, Addina
Published: (2025)

Improving Oil Slick Trajectory Simulations with Bayesian Optimization
by: Accarino, Gabriele, et al.
Published: (2025)

Uncertainty Quantification for Reduced-Order Surrogate Models Applied to Cloud Microphysics
by: Katona, Jonas E., et al.
Published: (2025)

Artificial neural networks ensemble methodology to predict significant wave height
by: Minuzzi, Felipe Crivellaro, et al.
Published: (2025)

DustNet: skillful neural network predictions of Saharan dust
by: Nowak, Trish E., et al.
Published: (2024)

Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift
by: Shin, Bong Gyun, et al.
Published: (2026)

Numerical models outperform AI weather forecasts of record-breaking extremes
by: Zhang, Zhongwei, et al.
Published: (2025)

Efficient Kilometer-Scale Precipitation Downscaling with Conditional Wavelet Diffusion
by: Yi, Chugang, et al.
Published: (2025)

The Nash-MTL-STCN Method For Prestack Three-Parameter Inversion
by: Liu, Yingtian, et al.
Published: (2024)

High-resolution closed-loop seismic inversion network in time-frequency phase mixed domain
by: Liu, Yingtian, et al.
Published: (2024)

Empirical model of SSUSI-derived auroral ionization rates
by: Bender, Stefan, et al.
Published: (2023)

A Dynamic Learning Observatory Reveals the Rapid Salinization of Satkhira, Bangladesh
by: Sarkar, Showmitra Kumar, et al.
Published: (2026)

Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork
by: Jing, Yuheng, et al.
Published: (2026)

Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction
by: Willard, Jared D., et al.
Published: (2024)

Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control
by: Caspari, Adrian, et al.
Published: (2025)

Neural Operators for Mathematical Modeling of Transient Fluid Flow in Subsurface Reservoir Systems
by: Sirota, Daniil D., et al.
Published: (2025)

Integrating Weather Station Data and Radar for Precipitation Nowcasting: SmaAt-fUsion and SmaAt-Krige-GNet
by: Shi, Jie, et al.
Published: (2025)

GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation Nowcasting
by: Reulen, Eloy, et al.
Published: (2024)

Learning velocity model for complex media with deep convolutional neural networks
by: Stankevich, A., et al.
Published: (2021)

Three-dimensional inversion of gravity data using implicit neural representations and scientific machine learning
by: Mishra, Pankaj K, et al.
Published: (2025)

Toward precision soil health: A regional framework for site-specific management across Missouri
by: Shah, Dipal, et al.
Published: (2025)

Mimosa Framework: Toward Evolving Multi-Agent Systems for Scientific Research
by: Legrand, Martin, et al.
Published: (2026)

Fast Diffusion Model For Seismic Data Noise Attenuation
by: Peng, Junheng, et al.
Published: (2024)

Seismic Data Strong Noise Attenuation Based on Diffusion Model and Principal Component Analysis
by: Peng, Junheng, et al.
Published: (2023)