Imagen de Portada

Physically Consistent Global Atmospheric Data Assimilation with Machine Learning in Latent Space

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Fan, Hang, Bai, Lei, Fei, Ben, Xiao, Yi, Chen, Kun, Liu, Yubao, Qu, Yongquan, Ling, Fenghua, Gentine, Pierre
Formato:	Preprint
Publicado:	2025
Materias:	Atmospheric and Oceanic Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Accurate and Efficient Hybrid-Ensemble Atmospheric Data Assimilation in Latent Space with Uncertainty Quantification
por: Fan, Hang, et al.
Publicado: (2026)

LO-SDA: Latent Optimization for Score-based Atmospheric Data Assimilation
por: Sun, Jing-An, et al.
Publicado: (2025)

Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences
por: Sun, Jing-An, et al.
Publicado: (2025)

Learning more physically realistic dynamics in machine-learning based weather forecasting with latent-space constraints
por: Fan, Hang, et al.
Publicado: (2025)

Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming
por: Qu, Yongquan, et al.
Publicado: (2024)

DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
por: Gong, Junchao, et al.
Publicado: (2025)

Interpretable multiscale Machine Learning-Based Parameterizations of Convection for ICON
por: Heuer, Helge, et al.
Publicado: (2023)

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

Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution
por: Tu, Siwei, et al.
Publicado: (2025)

Data-Driven Equation Discovery of a Cloud Cover Parameterization
por: Grundner, Arthur, et al.
Publicado: (2023)

Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation
por: Andry, Gérôme, et al.
Publicado: (2025)

Power Ensemble Aggregation for Improved Extreme Event AI Prediction
por: Collard, Julien, et al.
Publicado: (2025)

Technical Report: Towards Unified Diffusion Models for Multi-Model Climate Emulation at Scale
por: Immorlano, Francesco, et al.
Publicado: (2025)

Machine-learned cloud classes from satellite data for process-oriented climate model evaluation
por: Kaps, A., et al.
Publicado: (2022)

Improving Typhoon Predictions by Integrating Data-Driven Machine Learning Models with Physics Models Based on the Spectral Nudging and Data Assimilation
por: Niu, Zeyi, et al.
Publicado: (2024)

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

Towards an end-to-end artificial intelligence driven global weather forecasting system
por: Chen, Kun, et al.
Publicado: (2023)

VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilation
por: Xiao, Yi, et al.
Publicado: (2024)

Constraining Atmospheric River Uncertainty Using Instantaneous Poleward Latent Heat Transport
por: Mahesh, Ankur, et al.
Publicado: (2025)

Causally-informed deep learning to improve climate models and projections
por: Iglesias-Suarez, Fernando, et al.
Publicado: (2023)

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

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

Proof-of-concept: Using ChatGPT to Translate and Modernize an Earth System Model from Fortran to Python/JAX
por: Zhou, Anthony, et al.
Publicado: (2024)

Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations
por: Xu, Xiaoze, et al.
Publicado: (2024)

FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation
por: Xiao, Yi, et al.
Publicado: (2023)

Assimilating Observed Surface Pressure into ML Weather Prediction Models
por: Slivinski, Laura C., et al.
Publicado: (2024)

EWE: An Agentic Framework for Extreme Weather Analysis
por: Jiang, Zhe, et al.
Publicado: (2025)

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

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

Exploring the Use of Machine Learning Weather Models in Data Assimilation
por: Tian, Xiaoxu, et al.
Publicado: (2024)

An Interpretable Latent Space reveals changing dynamics of European heatwaves
por: Happé, Tamara, et al.
Publicado: (2025)

Comparing Ocean Forecasts Driven with Machine Learning-based and Physics-based Atmospheric Forcings
por: Zhou, Xiaobing, et al.
Publicado: (2026)

3D-Var Data Assimilation using a Variational Autoencoder
por: Melinc, Boštjan, et al.
Publicado: (2023)

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

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

Imputing Missing Long-Term Spatiotemporal Multivariate Atmospheric Data with CNN-Transformer Machine Learning
por: Hu, Jiahui, et al.
Publicado: (2025)

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

BiXiao: An AI-Based Atmospheric Environment Forecasting Model Using Discontinuous Grids
por: Ji, Shengxuan, et al.
Publicado: (2025)

Impact of an Ensemble of Ocean Data Assimilations in ECMWF's next generation ocean reanalysis system
por: Chrust, Marcin, et al.
Publicado: (2024)

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