Cover Image

Learning Accurate Storm-Scale Evolution from Observations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pathak, Jaideep, Abbas, Mohammad Shoaib, Harrington, Peter, Hu, Zeyuan, Brenowitz, Noah, Ravuri, Suman, Carpentieri, Alberto, Leinonen, Jussi, Adams, Corey, Hennigh, Oliver, Geneva, Nicholas, Durran, Dale, Pritchard, Mike
Format:	Preprint
Published:	2026
Subjects:	Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models
by: Martin, Scott A., et al.
Published: (2025)

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

A Practical Probabilistic Benchmark for AI Weather Models
by: Brenowitz, Noah D., et al.
Published: (2024)

Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
by: Pathak, Jaideep, et al.
Published: (2024)

DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations
by: Stock, Jason, et al.
Published: (2024)

Do Climate Models Need Microphysical and Convective Parameterizations to Generate Accurate Precipitation Fields?
by: Moreno, Raul, et al.
Published: (2026)

Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
by: Manshausen, Peter, et al.
Published: (2024)

Towards accurate extreme event likelihoods from diffusion model climate emulators
by: Manshausen, Peter, et al.
Published: (2026)

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)

Data-driven Surface Solar Irradiance Estimation using Neural Operators at Global Scale
by: Carpentieri, Alberto, et al.
Published: (2024)

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh
by: Karlbauer, Matthias, et al.
Published: (2023)

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

Imposing the Fundamental Dynamical Constraint of Hydrostatic Balance to Improve Global ML Weather Prediction
by: Subramaniam, Akshay, et al.
Published: (2025)

HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts
by: Gupta, Aayush, et al.
Published: (2026)

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

Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts
by: Leinonen, Jussi, 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)

AIMIP Phase 1: systematic evaluations of AI weather and climate models
by: Henn, Brian, et al.
Published: (2026)

Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
by: Mahesh, Ankur, et al.
Published: (2024)

Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
by: Mahesh, Ankur, et al.
Published: (2024)

Diagnosing Biases in Tropical Atlantic-Pacific Multi-Decadal Teleconnections Across CMIP6 and E3SM Models
by: Xia, Yan, et al.
Published: (2025)

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

Predictability of Storms in an Idealized Climate Revealed by Machine Learning
by: Yao, Wuqiushi, et al.
Published: (2025)

Stochastic Flow Matching for Resolving Small-Scale Physics
by: Fotiadis, Stathi, et al.
Published: (2024)

Navigating the Noise: Bringing Clarity to ML Parameterization Design with O(100) Ensembles
by: Lin, Jerry, et al.
Published: (2023)

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

Machine learning emulation of precipitation from km-scale UK regional climate simulations using a diffusion model
by: Addison, Henry, et al.
Published: (2024)

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)

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

Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset
by: Yu, Sungduk, et al.
Published: (2023)

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)

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)

Stress-testing the coupled behavior of hybrid physics-machine learning climate simulations on an unseen, warmer climate
by: Lin, Jerry, et al.
Published: (2024)

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)

From Winter Storm Thermodynamics to Wind Gust Extremes: Discovering Interpretable Equations from Data
by: Tam, Frederick Iat-Hin, et al.
Published: (2025)

Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics
by: Cachay, Salva Rühling, et al.
Published: (2025)

Accurate Mediterranean Sea forecasting via graph-based deep learning
by: Holmberg, Daniel, et al.
Published: (2025)