Image de couverture de livre

Neural Compression of Atmospheric States

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mirowski, Piotr, Warde-Farley, David, Rosca, Mihaela, Grimes, Matthew Koichi, Hasson, Yana, Kim, Hyunjik, Rey, Mélanie, Osindero, Simon, Ravuri, Suman, Mohamed, Shakir
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Computer Vision and Pattern Recognition Atmospheric and Oceanic Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Retrieval of Ocean Surface Currents and Vertical Shear from HF Radar Observations
par: Hasson, G., et autres
Publié: (2026)

A Generalized Richardson Number Diagnostic for Turbulence in the Free Atmosphere
par: Foudad, Mohamed, et autres
Publié: (2026)

Learning Accurate Storm-Scale Evolution from Observations
par: Pathak, Jaideep, et autres
Publié: (2026)

Machine learning emulation of precipitation from km-scale UK regional climate simulations using a diffusion model
par: Addison, Henry, et autres
Publié: (2024)

Evaluating Skill and Stability of ArchesWeather and ArchesWeatherGen under Multi-Decadal Climate Simulations
par: Singh, Renu, et autres
Publié: (2026)

Physically Interpretable Emulation of a Moist Convecting Atmosphere with a Recurrent Neural Network
par: Song, Qiyu, et autres
Publié: (2025)

DANRA: The Kilometer-Scale Danish Regional Atmospheric Reanalysis
par: Yang, Xiaohua, et autres
Publié: (2025)

Atmosphere as a steam engine
par: Makarieva, Anastassia, et autres
Publié: (2026)

The Radiation Balance for a semi-gray Atmosphere
par: van Leeuwen, J. M. J.
Publié: (2024)

EnsAI: An Emulator for Atmospheric Chemical Ensembles
par: Sitwell, Michael
Publié: (2025)

CAMulator: Fast Emulation of the Community Atmosphere Model
par: Chapman, William E., et autres
Publié: (2025)

Investigating the Relationship between Simulation Parameters and Flow Variables in Simulating Atmospheric Gravity Waves in Wind Energy Applications
par: Khan, Mehtab Ahmed, et autres
Publié: (2024)

Ozone Anomalies in Dry Intrusions Associated with Atmospheric Rivers
par: Hall, Kirsten R., et autres
Publié: (2024)

The future of offshore wind power production: wake and climate impacts
par: Warder, Simon C, et autres
Publié: (2024)

Mapping global offshore wind wake losses, layout optimisation potential, and climate change effects
par: Warder, Simon C, et autres
Publié: (2024)

Atmospheric stability sets maximum moist heat and convection in the midlatitudes
par: Li, Funing, et autres
Publié: (2025)

On the Methodology for Assessing Vegetation Impacts on the Atmospheric Branch of the Hydrological Cycle
par: Makarieva, A. M., et autres
Publié: (2026)

Zeeman: A Deep Learning Regional Atmospheric Chemistry Transport Model
par: Pang, Mijie, et autres
Publié: (2025)

Suborbital Characterization of Atmospheric Profiles and Cosmic Radiation over the Mexican Plateau
par: Ochoa-Torrentera, U., et autres
Publié: (2025)

LO-SDA: Latent Optimization for Score-based Atmospheric Data Assimilation
par: Sun, Jing-An, et autres
Publié: (2025)

Understanding the Evolution of Global Atmospheric Rivers with Vapor Kinetic Energy Framework
par: Zhang, Aidi, et autres
Publié: (2025)

Review on the Role of GNSS Meteorology in Monitoring Water Vapor for Atmospheric Physics
par: Vaquero-Martinez, Javier, et autres
Publié: (2024)

Marine Heatwaves in the Arabian Sea: Drivers and Impacts on Atmospheric Circulation and Extreme Precipitation
par: Suhas, D. L., et autres
Publié: (2026)

Extratropical Atmospheric Circulation Response to ENSO in Deep Learning Pacific Pacemaker Experiments
par: Hua, Zhanxiang, et autres
Publié: (2025)

Instability-Aware Steering of an Extreme Atmospheric River in an AI Weather Foundation Model
par: Liu, Moyan, et autres
Publié: (2026)

A Nonhydrostatic Mass-Conserving Dynamical Core for Deep Atmospheres of Variable Composition
par: Kelly, James F., et autres
Publié: (2024)

Physically Consistent Global Atmospheric Data Assimilation with Machine Learning in Latent Space
par: Fan, Hang, et autres
Publié: (2025)

Constraining Atmospheric River Uncertainty Using Instantaneous Poleward Latent Heat Transport
par: Mahesh, Ankur, et autres
Publié: (2025)

A Stochastic Ekman-Stokes Model for Coupled Ocean-Wave-Atmosphere Dynamics
par: Li, Long, et autres
Publié: (2025)

HiHa: Introducing Hierarchical Harmonic Decomposition to Implicit Neural Compression for Atmospheric Data
par: Xu, Zhewen, et autres
Publié: (2024)

Comparing Ocean Forecasts Driven with Machine Learning-based and Physics-based Atmospheric Forcings
par: Zhou, Xiaobing, et autres
Publié: (2026)

BiXiao: An AI-Based Atmospheric Environment Forecasting Model Using Discontinuous Grids
par: Ji, Shengxuan, et autres
Publié: (2025)

AIMIP Phase 1: systematic evaluations of AI weather and climate models
par: Henn, Brian, et autres
Publié: (2026)

The Interdecadal Bipolar Oscillation: An Atmospheric Water Vapor Mode Driving Asynchronous Polar Climate Change
par: Wang, Hongyu, et autres
Publié: (2026)

The ARP-GEM1 Global Atmosphere Model. Part I: Description and Speed-up Analysis
par: Saint-Martin, David, et autres
Publié: (2024)

Atmospheric rivers and winter sea ice drive recent reversal in Antarctic ice mass loss
par: Kolbe, Marlen, et autres
Publié: (2025)

One Stone, Two Birds: Using Vapor Kinetic Energy to Detect and Understand Atmospheric Rivers
par: Ong, Hing, et autres
Publié: (2024)

Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
par: Brenowitz, Noah D., et autres
Publié: (2025)

Towards a Unified Data-Driven Boundary Layer Momentum Flux Parameterization for Ocean and Atmosphere
par: Falga, Renaud, et autres
Publié: (2025)

Imputing Missing Long-Term Spatiotemporal Multivariate Atmospheric Data with CNN-Transformer Machine Learning
par: Hu, Jiahui, et autres
Publié: (2025)