Cover Image

Zeeman: A Deep Learning Regional Atmospheric Chemistry Transport Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pang, Mijie, Jin, Jianbing, Segers, Arjo, Lin, Hai Xiang, Wang, Guoqiang, Liao, Hong, Han, Wei
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

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

Extratropical Atmospheric Circulation Response to ENSO in Deep Learning Pacific Pacemaker Experiments
by: Hua, Zhanxiang, et al.
Published: (2025)

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)

Constraining Atmospheric River Uncertainty Using Instantaneous Poleward Latent Heat Transport
by: Mahesh, Ankur, 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)

A Nonhydrostatic Mass-Conserving Dynamical Core for Deep Atmospheres of Variable Composition
by: Kelly, James F., et al.
Published: (2024)

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

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

CAMulator: Fast Emulation of the Community Atmosphere Model
by: Chapman, William E., et al.
Published: (2025)

A Data-Driven Regional Model for Skillful Medium-Range Typhoon Prediction
by: Niu, Zeyi, et al.
Published: (2026)

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

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

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

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

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

Wintertime Cross-correlational Structures between Sea Surface Temperature Anomaly and Atmospheric-and-Oceanic Fields in the East/Japan Sea Under Arctic Oscillation
by: Lim, Gyuchang, et al.
Published: (2025)

Comparing Ocean Forecasts Driven with Machine Learning-based and Physics-based Atmospheric Forcings
by: Zhou, Xiaobing, 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)

A Stochastic Ekman-Stokes Model for Coupled Ocean-Wave-Atmosphere Dynamics
by: Li, Long, et al.
Published: (2025)

A Deep Learning Model of Lightning Stroke Density
by: Jones II, Randall, et al.
Published: (2025)

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

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

EnsAI: An Emulator for Atmospheric Chemical Ensembles
by: Sitwell, Michael
Published: (2025)

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

Atmospheric Chemistry of Secondary and Hybrid Atmospheres of Super Earths and Sub-Neptunes
by: Tian, Meng, et al.
Published: (2023)

Using Unstable Periodic Orbits to Understand Blocking Behaviour in a Low Order Land-Atmosphere Model
by: Hamilton, Oisín, 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)

Deep-Learned Observation Operators for Artificial Intelligence Weather Forecasting Models
by: Lieberman, Kelsey, et al.
Published: (2026)

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

A Deep Learning Earth System Model for Efficient Simulation of the Observed Climate
by: Cresswell-Clay, Nathaniel, et al.
Published: (2024)

A Hierarchical Deep Learning Model for Predicting Pedestrian-Level Urban Winds
by: Snaiki, Reda, et al.
Published: (2025)

Atmospheric stability sets maximum moist heat and convection in the midlatitudes
by: Li, Funing, et al.
Published: (2025)

A Generalized Richardson Number Diagnostic for Turbulence in the Free Atmosphere
by: Foudad, Mohamed, et al.
Published: (2026)

On the Methodology for Assessing Vegetation Impacts on the Atmospheric Branch of the Hydrological Cycle
by: Makarieva, A. M., et al.
Published: (2026)

Deep Learning Reconstruction of Tropical Cyclogenesis in the Western North Pacific from Climate Reanalysis Dataset
by: Le, Duc-Trong, et al.
Published: (2025)

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

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

A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models
by: Pallotta, Giuliana, et al.
Published: (2026)

Towards NoahMP-AI: Enhancing Land Surface Model Prediction with Deep Learning
by: Mbarak, Mahmoud, et al.
Published: (2025)