Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh
Fuente:
arXiv
Saved in:
| Main Authors: | Karlbauer, Matthias, Cresswell-Clay, Nathaniel, Durran, Dale R., Moreno, Raul A., Kurth, Thorsten, Bonev, Boris, Brenowitz, Noah, Butz, Martin V. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Deep Learning Earth System Model for Efficient Simulation of the Observed Climate
by: Cresswell-Clay, Nathaniel, et al.
Published: (2024)
by: Cresswell-Clay, Nathaniel, et al.
Published: (2024)
Imposing the Fundamental Dynamical Constraint of Hydrostatic Balance to Improve Global ML Weather Prediction
by: Subramaniam, Akshay, et al.
Published: (2025)
by: Subramaniam, Akshay, et al.
Published: (2025)
A Practical Probabilistic Benchmark for AI Weather Models
by: Brenowitz, Noah D., et al.
Published: (2024)
by: Brenowitz, Noah D., et al.
Published: (2024)
Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model
by: Wang, Chenggong, et al.
Published: (2024)
by: Wang, Chenggong, et al.
Published: (2024)
Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models
by: Martin, Scott A., et al.
Published: (2025)
by: Martin, Scott A., et al.
Published: (2025)
Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts
by: Leinonen, Jussi, et al.
Published: (2024)
by: Leinonen, Jussi, et al.
Published: (2024)
Do Climate Models Need Microphysical and Convective Parameterizations to Generate Accurate Precipitation Fields?
by: Moreno, Raul, et al.
Published: (2026)
by: Moreno, Raul, et al.
Published: (2026)
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
by: Mahesh, Ankur, et al.
Published: (2024)
by: Mahesh, Ankur, et al.
Published: (2024)
AIMIP Phase 1: systematic evaluations of AI weather and climate models
by: Henn, Brian, et al.
Published: (2026)
by: Henn, Brian, et al.
Published: (2026)
Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
by: Mahesh, Ankur, et al.
Published: (2024)
by: Mahesh, Ankur, et al.
Published: (2024)
Learning Accurate Storm-Scale Evolution from Observations
by: Pathak, Jaideep, et al.
Published: (2026)
by: Pathak, Jaideep, et al.
Published: (2026)
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
by: Pathak, Jaideep, et al.
Published: (2024)
by: Pathak, Jaideep, et al.
Published: (2024)
Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators
by: Mahesh, Ankur, et al.
Published: (2026)
by: Mahesh, Ankur, et al.
Published: (2026)
DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations
by: Stock, Jason, et al.
Published: (2024)
by: Stock, Jason, et al.
Published: (2024)
Inductive biases in deep learning models for weather prediction
by: Thuemmel, Jannik, et al.
Published: (2023)
by: Thuemmel, Jannik, et al.
Published: (2023)
Towards accurate extreme event likelihoods from diffusion model climate emulators
by: Manshausen, Peter, et al.
Published: (2026)
by: Manshausen, Peter, et al.
Published: (2026)
Evaluating the Predictability of Selected Weather Extremes with Aurora, an AI Weather Forecast Model
by: Huang, Qin, et al.
Published: (2026)
by: Huang, Qin, et al.
Published: (2026)
HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts
by: Gupta, Aayush, et al.
Published: (2026)
by: Gupta, Aayush, et al.
Published: (2026)
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)
by: Hu, Zeyuan, et al.
Published: (2024)
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
by: Manshausen, Peter, et al.
Published: (2024)
by: Manshausen, Peter, et al.
Published: (2024)
Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
by: Brenowitz, Noah D., et al.
Published: (2025)
by: Brenowitz, Noah D., et al.
Published: (2025)
Assimilating Observed Surface Pressure into ML Weather Prediction Models
by: Slivinski, Laura C., et al.
Published: (2024)
by: Slivinski, Laura C., et al.
Published: (2024)
Error Growth Dynamic and Predictability of Tropical Cyclone in Machine Learning Weather Prediction Model
by: Pu, Jingchen, et al.
Published: (2026)
by: Pu, Jingchen, et al.
Published: (2026)
Deep-Learned Observation Operators for Artificial Intelligence Weather Forecasting Models
by: Lieberman, Kelsey, et al.
Published: (2026)
by: Lieberman, Kelsey, et al.
Published: (2026)
Data-driven Surface Solar Irradiance Estimation using Neural Operators at Global Scale
by: Carpentieri, Alberto, et al.
Published: (2024)
by: Carpentieri, Alberto, et al.
Published: (2024)
An Earth-System-Oriented View of the S2S Predictability of North American Weather Regimes
by: Pérez-Carrasquilla, Jhayron S., et al.
Published: (2024)
by: Pérez-Carrasquilla, Jhayron S., et al.
Published: (2024)
Learning Data-driven Surrogate and Correction Models for Satellite Observations in Numerical Weather Prediction
by: Buono, Gian Luca, et al.
Published: (2026)
by: Buono, Gian Luca, et al.
Published: (2026)
How does an AI Weather Model Learn to Forecast Extreme Weather?
by: Baiman, Rebecca, et al.
Published: (2025)
by: Baiman, Rebecca, et al.
Published: (2025)
Identifying Lightning Processes in ERA5 Soundings with Deep Learning
by: Ehrensperger, Gregor, et al.
Published: (2022)
by: Ehrensperger, Gregor, et al.
Published: (2022)
StretchCast: Global-Regional AI Weather Forecasting on Stretched Cubed-Sphere Mesh
by: Feng, Jin
Published: (2026)
by: Feng, Jin
Published: (2026)
WP-MIP: An Artificial Intelligence, Hybrid and Physically Based Model Intercomparison Project for Weather Prediction
by: McTaggart-Cowan, Ron, et al.
Published: (2026)
by: McTaggart-Cowan, Ron, et al.
Published: (2026)
Challenges in assessing Fire Weather changes in a warming climate
by: Matteo, Aurora, et al.
Published: (2025)
by: Matteo, Aurora, et al.
Published: (2025)
Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs
by: Akazan, Ange-Clement, et al.
Published: (2025)
by: Akazan, Ange-Clement, et al.
Published: (2025)
Improving prediction of heavy rainfall in the Mediterranean with Neural Networks using both observation and Numerical Weather Prediction data
by: Pujol, Killian, et al.
Published: (2025)
by: Pujol, Killian, et al.
Published: (2025)
Predicting Beyond Training Data via Extrapolation versus Translocation: AI Weather Models and Dubai's Unprecedented 2024 Rainfall
by: Sun, Y. Qiang, et al.
Published: (2025)
by: Sun, Y. Qiang, et al.
Published: (2025)
Predictability of Global AI Weather Models
by: Kieu, Chanh
Published: (2024)
by: Kieu, Chanh
Published: (2024)
Future Amplification of Moist Weather Extremes in the Midlatitudes
by: Li, Funing, et al.
Published: (2026)
by: Li, Funing, et al.
Published: (2026)
Project Severe Weather Archive of the Philippines (SWAP). Part 1: Establishing a Baseline Climatology for Severe Weather across the Philippine Archipelago
by: Capuli, Generich H.
Published: (2024)
by: Capuli, Generich H.
Published: (2024)
Epistemic and Aleatoric Uncertainty Quantification in Weather and Climate Models
by: Mansfield, Laura A., et al.
Published: (2025)
by: Mansfield, Laura A., et al.
Published: (2025)
Watch an AI Weather Model Learn (and Unlearn) Tropical Cyclones
by: Baiman, Rebecca, et al.
Published: (2026)
by: Baiman, Rebecca, et al.
Published: (2026)
Similar Items
-
A Deep Learning Earth System Model for Efficient Simulation of the Observed Climate
by: Cresswell-Clay, Nathaniel, et al.
Published: (2024) -
Imposing the Fundamental Dynamical Constraint of Hydrostatic Balance to Improve Global ML Weather Prediction
by: Subramaniam, Akshay, et al.
Published: (2025) -
A Practical Probabilistic Benchmark for AI Weather Models
by: Brenowitz, Noah D., et al.
Published: (2024) -
Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model
by: Wang, Chenggong, et al.
Published: (2024) -
Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models
by: Martin, Scott A., et al.
Published: (2025)