Cover Image

HiHa: Introducing Hierarchical Harmonic Decomposition to Implicit Neural Compression for Atmospheric Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Zhewen, Pan, Baoxiang, Li, Hongliang, Wei, Xiaohui
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Information Theory Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Neural Compression of Atmospheric States
by: Mirowski, Piotr, et al.
Published: (2024)

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

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

Calibrating Geophysical Predictions under Constrained Probabilistic Distributions
by: Hou, Zhewen, et al.
Published: (2025)

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

Optimized Dynamic Mode Decomposition for Reconstruction and Forecasting of Atmospheric Chemistry Data
by: Velegar, Meghana, et al.
Published: (2024)

Do Tensorized Large-Scale Spatiotemporal Dynamic Atmospheric Data Exhibit Low-Rank Properties?
by: Solgi, Ryan, et al.
Published: (2025)

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

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast
by: Wang, Jingnan, et al.
Published: (2025)

TemperatureGAN: Generative Modeling of Regional Atmospheric Temperatures
by: Balogun, Emmanuel, et al.
Published: (2023)

Atmospheric Predictability Beyond 30 Days with Machine Learning
by: Vonich, P. Trent, et al.
Published: (2025)

Finetuning AI Foundation Models to Develop Subgrid-Scale Parameterizations: A Case Study on Atmospheric Gravity Waves
by: Gupta, Aman, et al.
Published: (2025)

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

CAAL: Confidence-Aware Active Learning for Heteroscedastic Atmospheric Regression
by: Jiang, Fei, et al.
Published: (2026)

Generative assimilation and prediction for weather and climate
by: Yang, Shangshang, et al.
Published: (2025)

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

SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction
by: Jiang, Zheng, et al.
Published: (2025)

Monte-Carlo based non-line-of-sight underwater wireless optical communication channel modeling and system performance analysis under turbulence
by: Yue, Peng, et al.
Published: (2025)

Interactive Atmospheric Composition Emulation for Next-Generation Earth System Models
by: Erfani, Seyed Mohammad Hassan, et al.
Published: (2025)

Hierarchical Testing of a Hybrid Machine Learning-Physics Global Atmosphere Model
by: Chen, Ziming, et al.
Published: (2026)

FuXi-2.0: Advancing machine learning weather forecasting model for practical applications
by: Zhong, Xiaohui, et al.
Published: (2024)

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

Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction
by: Ling, Fenghua, et al.
Published: (2024)

METBRA25Y: Brazil Surface Meteorology Archive with Harmonized Variables and Quality Control
by: Castro, Matheus Lima, et al.
Published: (2026)

The Equilibrium Response of Atmospheric Machine-Learning Models to Uniform Sea Surface Temperature Warming
by: Zhang, Bosong, et al.
Published: (2025)

SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators
by: Duncan, James P. C., 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)

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

PODiff: Latent Diffusion in Proper Orthogonal Decomposition Space for Scientific Super-Resolution
by: Jadhav, Onkar, et al.
Published: (2026)

Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models
by: Shmuel, Assaf, et al.
Published: (2024)

FuXi Weather: A data-to-forecast machine learning system for global weather
by: Sun, Xiuyu, et al.
Published: (2024)

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

Data-Driven Invertible Neural Surrogates of Atmospheric Transmission
by: Koch, James, et al.
Published: (2024)

Conditional diffusion models for downscaling and bias correction of Earth system model precipitation
by: Aich, Michael, et al.
Published: (2024)

DaYu: Data-Driven Model for Geostationary Satellite Observed Cloud Images Forecasting
by: Wei, Xujun, et al.
Published: (2024)

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

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
by: Zhang, Yihe, et al.
Published: (2024)