Cover Image

Learning to Simulate Aerosol Dynamics with Graph Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ferracina, Fabiana, Beeler, Payton, Halappanavar, Mahantesh, Krishnamoorthy, Bala, Minutoli, Marco, Fierce, Laura
Format:	Preprint
Published:	2024
Subjects:	Atmospheric and Oceanic Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cloud droplet size distribution and optical properties only weakly linked to aerosol size
by: Gali, Kadja Flore, et al.
Published: (2025)

Generative Modeling of Aerosol State Representations
by: Saleh, Ehsan, et al.
Published: (2025)

Simulating the Air Quality Impact of Prescribed Fires Using Graph Neural Network-Based PM$_{2.5}$ Forecasts
by: Liao, Kyleen, et al.
Published: (2023)

Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts
by: Feik, Moritz, et al.
Published: (2024)

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

Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting
by: Holmberg, Daniel, et al.
Published: (2026)

Learning Coupled Earth System Dynamics with GraphDOP
by: Boucher, Eulalie, et al.
Published: (2025)

AODDiff: Probabilistic Reconstruction of Aerosol Optical Depth via Diffusion-based Bayesian Inference
by: Fan, Linhao, et al.
Published: (2025)

Observation-guided Interpolation Using Graph Neural Networks for High-Resolution Nowcasting in Switzerland
by: Miralles, Ophélia, et al.
Published: (2025)

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation
by: Gao, Yuan, et al.
Published: (2025)

Jacobian-Enforced Neural Networks (JENN) for Improved Data Assimilation Consistency in Dynamical Models
by: Tian, Xiaoxu
Published: (2024)

Prototype-based Explainable Neural Networks with Channel-specific Reasoning for Geospatial Learning Tasks
by: Narayanan, Anushka, et al.
Published: (2026)

A Physics-Constrained Neural Differential Equation Framework for Data-Driven Snowpack Simulation
by: Charbonneau, Andrew, et al.
Published: (2024)

Exploring Randomly Wired Neural Networks for Climate Model Emulation
by: Yik, William, et al.
Published: (2022)

Hierarchical Graph Networks for Accurate Weather Forecasting via Lightweight Training
by: Bailie, Thomas, et al.
Published: (2025)

Towards Location-Specific Precipitation Projections Using Deep Neural Networks
by: Kumar, Bipin, et al.
Published: (2025)

Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks
by: Höhlein, Kevin, et al.
Published: (2023)

Simulating Nighttime Visible Satellite Imagery of Tropical Cyclones Using Conditional Generative Adversarial Networks
by: Yao, Jinghuai, et al.
Published: (2024)

Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting
by: Zhao, Guang, et al.
Published: (2025)

Advancing Spatio-temporal Storm Surge Prediction with Hierarchical Deep Neural Networks
by: Naeini, Saeed Saviz, et al.
Published: (2024)

Online Test of a Neural Network Deep Convection Parameterization in ARP-GEM1
by: Balogh, Blanka, et al.
Published: (2024)

Predicting Tropical Cyclone Track Forecast Errors using a Probabilistic Neural Network
by: Fernandez, M. A., et al.
Published: (2025)

Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach
by: Sun, Yixuan, et al.
Published: (2024)

Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting
by: Pereira, Carlos A., et al.
Published: (2026)

A Comparative Study of Convolutional and Recurrent Neural Networks for Storm Surge Prediction in Tampa Bay
by: Ghahfarokhi, Mandana Farhang, et al.
Published: (2024)

mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations
by: Ma, Yiling, et al.
Published: (2025)

Principled Operator Learning in Ocean Dynamics: The Role of Temporal Structure
by: Jahanmard, Vahidreza, et al.
Published: (2025)

Combined Optimization of Dynamics and Assimilation with End-to-End Learning on Sparse Observations
by: Zinchenko, Vadim, et al.
Published: (2024)

Global Estimation of Subsurface Eddy Kinetic Energy of Mesoscale Eddies Using a Multiple-input Residual Neural Network
by: Xie, Chenyue, et al.
Published: (2024)

Uncertainty Quantification of Wind Gust Predictions in the Northeast United States: An Evidential Neural Network and Explainable Artificial Intelligence Approach
by: Jahan, Israt, et al.
Published: (2025)

Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model
by: Wang, Chenggong, et al.
Published: (2024)

Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators
by: Wesselkamp, Marieke, et al.
Published: (2024)

Crowdsourcing the Frontier: Advancing Hybrid Physics-ML Climate Simulation via a $50,000 Kaggle Competition
by: Lin, Jerry, et al.
Published: (2025)

Advancing Heatwave Forecasting via Distribution Informed-Graph Neural Networks (DI-GNNs): Integrating Extreme Value Theory with GNNs
by: Chishtie, Farrukh A., et al.
Published: (2024)

Enforcing Equity in Neural Climate Emulators
by: Yik, William, et al.
Published: (2024)

A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation
by: Schmidt, Jonathan, et al.
Published: (2024)

Ensembles of Neural Surrogates for Parametric Sensitivity in Ocean Modeling
by: Sun, Yixuan, et al.
Published: (2025)

Simulation-informed deep learning for enhanced SWOT observations of fine-scale ocean dynamics
by: Cutolo, Eugenio, et al.
Published: (2025)

Parameter estimation for land-surface models using Neural Physics
by: Huang, Ruiyue, et al.
Published: (2025)

Neural Network Emulator for Atmospheric Chemical ODE
by: Liu, Zhi-Song, et al.
Published: (2024)