Cover Image

Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Brenowitz, Noah D., Ge, Tao, Subramaniam, Akshay, Manshausen, Peter, Gupta, Aayush, Hall, David M., Mardani, Morteza, Vahdat, Arash, Kashinath, Karthik, Pritchard, Michael S.
Format:	Preprint
Published:	2025
Subjects:	Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
by: Pathak, Jaideep, et al.
Published: (2024)

Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
by: Manshausen, Peter, et al.
Published: (2024)

Towards accurate extreme event likelihoods from diffusion model climate emulators
by: Manshausen, Peter, et al.
Published: (2026)

Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling
by: Mardani, Morteza, et al.
Published: (2023)

HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts
by: Gupta, Aayush, et al.
Published: (2026)

Stochastic Flow Matching for Resolving Small-Scale Physics
by: Fotiadis, Stathi, et al.
Published: (2024)

Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics
by: Cachay, Salva Rühling, 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)

Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models
by: Martin, Scott A., et al.
Published: (2025)

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

DANRA: The Kilometer-Scale Danish Regional Atmospheric Reanalysis
by: Yang, Xiaohua, et al.
Published: (2025)

DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations
by: Stock, Jason, et al.
Published: (2024)

Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
by: Mahesh, Ankur, et al.
Published: (2024)

Global Kilometer-Scale Simulations with ARP-GEM2: Effect of Parameterized Convection and Calibration
by: Geoffroy, Olivier, et al.
Published: (2025)

AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion
by: Luitel, Somnath, et al.
Published: (2026)

Imposing the Fundamental Dynamical Constraint of Hydrostatic Balance to Improve Global ML Weather Prediction
by: Subramaniam, Akshay, et al.
Published: (2025)

Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
by: Mahesh, Ankur, et al.
Published: (2024)

AI-Based Regional Emulation for Kilometer-Scale Dynamical Downscaling
by: Sha, Yingkai, et al.
Published: (2026)

Learning Accurate Storm-Scale Evolution from Observations
by: Pathak, Jaideep, et al.
Published: (2026)

AIMIP Phase 1: systematic evaluations of AI weather and climate models
by: Henn, Brian, et al.
Published: (2026)

A Practical Probabilistic Benchmark for AI Weather Models
by: Brenowitz, Noah D., et al.
Published: (2024)

Terrain-aware Deep Learning for Wind Energy Applications: From Kilometer-scale Forecasts to Fine Wind Fields
by: Lin, Chensen, et al.
Published: (2025)

Ozone Anomalies in Dry Intrusions Associated with Atmospheric Rivers
by: Hall, Kirsten R., et al.
Published: (2024)

Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties with Deep Learning Multi-Member and Stochastic Parameterizations
by: Behrens, Gunnar, et al.
Published: (2024)

Near-surface Extreme Wind Events and Their Responses to Climate Forcings in a Hierarchy of Global Climate Models
by: Zhang, G., et al.
Published: (2026)

Instability-Aware Steering of an Extreme Atmospheric River in an AI Weather Foundation Model
by: Liu, Moyan, et al.
Published: (2026)

The Interdecadal Bipolar Oscillation: An Atmospheric Water Vapor Mode Driving Asynchronous Polar Climate Change
by: Wang, Hongyu, et al.
Published: (2026)

Understanding the Evolution of Global Atmospheric Rivers with Vapor Kinetic Energy Framework
by: Zhang, Aidi, et al.
Published: (2025)

Atmosphere as a steam engine
by: Makarieva, Anastassia, et al.
Published: (2026)

Physically Consistent Global Atmospheric Data Assimilation with Machine Learning in Latent Space
by: Fan, Hang, et al.
Published: (2025)

SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland
by: Assouline, Dan, et al.
Published: (2026)

FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting
by: Han, Tao, et al.
Published: (2024)

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

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

Samudra: An AI Global Ocean Emulator for Climate
by: Dheeshjith, Surya, et al.
Published: (2024)

Global Patterns of Extreme Temperature Teleconnections Using Climate Network Analysis
by: Feng, Yuhao, et al.
Published: (2025)

The ARP-GEM1 Global Atmosphere Model. Part II: Multiscale Evaluation up to 6 km
by: Geoffroy, Olivier, et al.
Published: (2024)

Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings
by: Adamov, Simon, et al.
Published: (2025)

Deciphering Super El Niño: Development of a Novel Predictive Model Integrating Local and Global Climatic Signals
by: Yoon, Chae-Hyun, et al.
Published: (2024)

Applying the ACE2 Emulator to SST Green's Functions for the E3SMv3 Global Atmosphere Model
by: Wu, Elynn, et al.
Published: (2025)