Cover Image

Predictability of Storms in an Idealized Climate Revealed by Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yao, Wuqiushi, Hadas, Or, Kaspi, Yohai
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

Quantifying the Influence of Climate on Storm Activity Using Machine Learning
by: Hadas, Or, et al.
Published: (2025)

A Lagrangian Perspective on the Growth of Midlatitude Storms
by: Hadas, Or, et al.
Published: (2024)

Rotational Flow Dominates Abrupt Seasonal Change in Zonally Asymmetric Tropical Meridional Circulation
by: Yao, Wuqiushi, et al.
Published: (2025)

Impact of Data-Driven Eddy Parameterization on Climate State in an Idealized Coupled CESM Model
by: Shi, Jia-Rui, et al.
Published: (2026)

Vapor-Buoyancy Feedback in an Idealized GCM
by: Seidel, Seth, et al.
Published: (2023)

Idealized Impacts of Mountainous Terrain on the Energetics of Hurricane Melissa (2025)
by: Igbinoba, Michael
Published: (2026)

An Efficient Regional Storm Surge Surrogate Model Training Strategy Under Evolving Landscape and Climate Scenarios
by: Liu, Ziyue, et al.
Published: (2025)

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

Climate-Adaptive and Cascade-Constrained Machine Learning Prediction for Sea Surface Height under Greenhouse Warming
by: Zheng, Tianmu, et al.
Published: (2025)

A Novel Hybrid Machine Learning Model for Rapid Assessment of Wave and Storm Surge Responses Over an Extended Coastal Region
by: Naeini, Saeed Saviz, et al.
Published: (2024)

Emergence of an Advective Boundary Layer in Monsoon Cross-Equatorial Flow: Scaling, Dynamics, and Idealized Models
by: Masiwal, Rajat, et al.
Published: (2026)

Impacts of Jet Stream Structure on Cyclone Merging and Persistent Anticyclones: Insights from Dry Idealized Simulations
by: Ren, Mingfei, et al.
Published: (2026)

Machine Learning for the Physics of Climate
by: Bracco, Annalisa, et al.
Published: (2024)

Quantum Machine Learning for Climate Modelling
by: Schwabe, Mierk, et al.
Published: (2025)

Bridging Clarity and Accuracy: A Simple Spectral Longwave Radiation Scheme for Idealized Climate Modeling
by: Williams, Andrew I. L.
Published: (2025)

Error Growth Dynamic and Predictability of Tropical Cyclone in Machine Learning Weather Prediction Model
by: Pu, Jingchen, et al.
Published: (2026)

Rapid Statistical-Physical Adversarial Downscaling Reveals Bangladesh's Rising Rainfall Risk in a Warming Climate
by: Saha, Anamitra, et al.
Published: (2024)

Machine Learning-Based Prediction of Heat Index in Selected U.S. Cities
by: Han, Yushan, et al.
Published: (2026)

Storm Surge Modeling in the AI ERA: Using LSTM-based Machine Learning for Enhancing Forecasting Accuracy
by: Giaremis, Stefanos, et al.
Published: (2024)

Idealized Cumulus Cloud-Scale Motions and the Dynamics of Isolated and Coupled Flows
by: Falcone, Dario P., et al.
Published: (2025)

Impact of Storm Surge and Power Peaking on Tidal-Fluvial Dynamics in Microtidal Neretva River Estuary
by: Krvavica, Nino, et al.
Published: (2024)

Elucidation of Unique Developmental Mechanism of Storm Surge along Northern Coast of Kyushu Island, Japan
by: Ozaki, Shinichiro, et al.
Published: (2024)

Detecting Tropical Cyclone from the basic overview of life cycle of Extremely Severe Cyclonic Storm, Tauktae
by: Yadav, Monu, et al.
Published: (2022)

StormDiT: A generative AI model bridges the 2-6 hour 'gray zone' in precipitation nowcasting
by: Sun, Haofei, et al.
Published: (2026)

On Using Medium-Range Ensemble Forecasts for Storm Transposition of Synoptic-Scale Systems in Probable Maximum Precipitation Estimation
by: Mure-Ravaud, Mathieu
Published: (2026)

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

Climate Trends of Tropical Cyclone Intensity and Energy Extremes Revealed by Deep Learning
by: Chen, Buo-Fu, et al.
Published: (2024)

Climate Downscaling of Tropical Cyclone Intensity using Deep Learning
by: Luong, Minh-Khanh, et al.
Published: (2025)

Learning Climate Sensitivity from Future Observations, Fast and Slow
by: Bauer, Adam Michael, et al.
Published: (2025)

Machine Learning Techniques for Data Reduction of Climate Applications
by: Li, Xiao, et al.
Published: (2024)

Machine Learning (ML)-Physics Fusion Model Outperforms Both Physics-Only and ML-Only Models in Typhoon Predictions
by: Niu, Zeyi, et al.
Published: (2025)

Leveraging Climate Services to Build Climate Resilient Power Systems
by: Dubus, Laurent, et al.
Published: (2026)

Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics
by: Millard, David, et al.
Published: (2024)

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

An idealized general circulation model for the atmospheric circulation on the ice giants
by: Guendelman, Ilai, et al.
Published: (2025)

Atmospheric Changes During Natural Disaster: Case Study of a Dust Storm and a Volcanic Eruption Using Space and Ground Based Instruments
by: Kar, Deepak Kumar, et al.
Published: (2025)

Transfer Learning for Emulating Ocean Climate Variability across $CO_2$ forcing
by: Dheeshjith, Surya, et al.
Published: (2024)

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

Predicting temperatures in Brazilian states capitals via Machine Learning
by: da Silva, Sidney T., et al.
Published: (2025)