Saved in:
| Main Authors: | Li, Mingzhe, Nowack, Peer, Wang, Bei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.00775 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Topographic Visualization of Near-surface Temperatures for Improved Lapse Rate Estimation
by: Höhlein, Kevin, et al.
Published: (2024)
by: Höhlein, Kevin, et al.
Published: (2024)
Imputing Missing Long-Term Spatiotemporal Multivariate Atmospheric Data with CNN-Transformer Machine Learning
by: Hu, Jiahui, et al.
Published: (2025)
by: Hu, Jiahui, et al.
Published: (2025)
Constraining Atmospheric River Uncertainty Using Instantaneous Poleward Latent Heat Transport
by: Mahesh, Ankur, et al.
Published: (2025)
by: Mahesh, Ankur, et al.
Published: (2025)
Uncertainty-Aware Spatiotemporal Super-Resolution Data Assimilation with Diffusion Models
by: Ayapilla, Aditya Sai Pranith, et al.
Published: (2026)
by: Ayapilla, Aditya Sai Pranith, et al.
Published: (2026)
Using Unstable Periodic Orbits to Understand Blocking Behaviour in a Low Order Land-Atmosphere Model
by: Hamilton, Oisín, et al.
Published: (2025)
by: Hamilton, Oisín, et al.
Published: (2025)
mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations
by: Ma, Yiling, et al.
Published: (2025)
by: Ma, Yiling, et al.
Published: (2025)
Atmospheric chemistry surrogate modeling with sparse identification of nonlinear dynamics
by: Yang, Xiaokai, et al.
Published: (2024)
by: Yang, Xiaokai, 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)
by: Behrens, Gunnar, et al.
Published: (2024)
One Stone, Two Birds: Using Vapor Kinetic Energy to Detect and Understand Atmospheric Rivers
by: Ong, Hing, et al.
Published: (2024)
by: Ong, Hing, et al.
Published: (2024)
Do Tensorized Large-Scale Spatiotemporal Dynamic Atmospheric Data Exhibit Low-Rank Properties?
by: Solgi, Ryan, et al.
Published: (2025)
by: Solgi, Ryan, et al.
Published: (2025)
Atmospheric stability sets maximum moist heat and convection in the midlatitudes
by: Li, Funing, et al.
Published: (2025)
by: Li, Funing, et al.
Published: (2025)
Atmosphere as a steam engine
by: Makarieva, Anastassia, et al.
Published: (2026)
by: Makarieva, Anastassia, et al.
Published: (2026)
Ozone Anomalies in Dry Intrusions Associated with Atmospheric Rivers
by: Hall, Kirsten R., et al.
Published: (2024)
by: Hall, Kirsten R., et al.
Published: (2024)
High-Resolution Retrieval of Atmospheric Boundary Layers with Nonstationary Gaussian Processes
by: Xiong, Haoran, et al.
Published: (2025)
by: Xiong, Haoran, et al.
Published: (2025)
The High-Frequency and Rare Events Barriers to Neural Closures of Atmospheric Dynamics
by: Chekroun, Mickaël D., et al.
Published: (2023)
by: Chekroun, Mickaël D., et al.
Published: (2023)
A Stochastic Ekman-Stokes Model for Coupled Ocean-Wave-Atmosphere Dynamics
by: Li, Long, et al.
Published: (2025)
by: Li, Long, et al.
Published: (2025)
Scaling of Rainfall Intensity and Frequency with Rising Temperatures
by: Yin, Jun, et al.
Published: (2026)
by: Yin, Jun, 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)
by: Wang, Hongyu, et al.
Published: (2026)
The Radiation Balance for a semi-gray Atmosphere
by: van Leeuwen, J. M. J.
Published: (2024)
by: van Leeuwen, J. M. J.
Published: (2024)
EnsAI: An Emulator for Atmospheric Chemical Ensembles
by: Sitwell, Michael
Published: (2025)
by: Sitwell, Michael
Published: (2025)
CAMulator: Fast Emulation of the Community Atmosphere Model
by: Chapman, William E., et al.
Published: (2025)
by: Chapman, William E., et al.
Published: (2025)
Zeeman: A Deep Learning Regional Atmospheric Chemistry Transport Model
by: Pang, Mijie, et al.
Published: (2025)
by: Pang, Mijie, et al.
Published: (2025)
LO-SDA: Latent Optimization for Score-based Atmospheric Data Assimilation
by: Sun, Jing-An, et al.
Published: (2025)
by: Sun, Jing-An, et al.
Published: (2025)
DANRA: The Kilometer-Scale Danish Regional Atmospheric Reanalysis
by: Yang, Xiaohua, et al.
Published: (2025)
by: Yang, Xiaohua, 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)
by: Fan, Hang, et al.
Published: (2026)
BiXiao: An AI-Based Atmospheric Environment Forecasting Model Using Discontinuous Grids
by: Ji, Shengxuan, et al.
Published: (2025)
by: Ji, Shengxuan, et al.
Published: (2025)
A Generalized Richardson Number Diagnostic for Turbulence in the Free Atmosphere
by: Foudad, Mohamed, et al.
Published: (2026)
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)
by: Makarieva, A. M., et al.
Published: (2026)
Causal Climate Emulation with Bayesian Filtering
by: Hickman, Sebastian, et al.
Published: (2025)
by: Hickman, Sebastian, et al.
Published: (2025)
Suborbital Characterization of Atmospheric Profiles and Cosmic Radiation over the Mexican Plateau
by: Ochoa-Torrentera, U., et al.
Published: (2025)
by: Ochoa-Torrentera, U., et al.
Published: (2025)
Understanding the Evolution of Global Atmospheric Rivers with Vapor Kinetic Energy Framework
by: Zhang, Aidi, et al.
Published: (2025)
by: Zhang, Aidi, et al.
Published: (2025)
Review on the Role of GNSS Meteorology in Monitoring Water Vapor for Atmospheric Physics
by: Vaquero-Martinez, Javier, et al.
Published: (2024)
by: Vaquero-Martinez, Javier, et al.
Published: (2024)
Marine Heatwaves in the Arabian Sea: Drivers and Impacts on Atmospheric Circulation and Extreme Precipitation
by: Suhas, D. L., et al.
Published: (2026)
by: Suhas, D. L., 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)
by: Liu, Moyan, et al.
Published: (2026)
Extratropical Atmospheric Circulation Response to ENSO in Deep Learning Pacific Pacemaker Experiments
by: Hua, Zhanxiang, et al.
Published: (2025)
by: Hua, Zhanxiang, et al.
Published: (2025)
A Nonhydrostatic Mass-Conserving Dynamical Core for Deep Atmospheres of Variable Composition
by: Kelly, James F., et al.
Published: (2024)
by: Kelly, James F., et al.
Published: (2024)
Physically Consistent Global Atmospheric Data Assimilation with Machine Learning in Latent Space
by: Fan, Hang, et al.
Published: (2025)
by: Fan, Hang, et al.
Published: (2025)
Comparing Ocean Forecasts Driven with Machine Learning-based and Physics-based Atmospheric Forcings
by: Zhou, Xiaobing, et al.
Published: (2026)
by: Zhou, Xiaobing, et al.
Published: (2026)
Physically Interpretable Emulation of a Moist Convecting Atmosphere with a Recurrent Neural Network
by: Song, Qiyu, et al.
Published: (2025)
by: Song, Qiyu, et al.
Published: (2025)
Strength and Sensitivity of Land-Atmosphere Interaction
by: Yin, Jun
Published: (2024)
by: Yin, Jun
Published: (2024)
Similar Items
-
Topographic Visualization of Near-surface Temperatures for Improved Lapse Rate Estimation
by: Höhlein, Kevin, et al.
Published: (2024) -
Imputing Missing Long-Term Spatiotemporal Multivariate Atmospheric Data with CNN-Transformer Machine Learning
by: Hu, Jiahui, et al.
Published: (2025) -
Constraining Atmospheric River Uncertainty Using Instantaneous Poleward Latent Heat Transport
by: Mahesh, Ankur, et al.
Published: (2025) -
Uncertainty-Aware Spatiotemporal Super-Resolution Data Assimilation with Diffusion Models
by: Ayapilla, Aditya Sai Pranith, et al.
Published: (2026) -
Using Unstable Periodic Orbits to Understand Blocking Behaviour in a Low Order Land-Atmosphere Model
by: Hamilton, Oisín, et al.
Published: (2025)