Copertina

Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Adamov, Simon, Oskarsson, Joel, Denby, Leif, Landelius, Tomas, Hintz, Kasper, Christiansen, Simon, Schicker, Irene, Osuna, Carlos, Lindsten, Fredrik, Fuhrer, Oliver, Schemm, Sebastian
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Atmospheric and Oceanic Physics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion
di: Larsson, Erik, et al.
Pubblicazione: (2025)

Continuous Ensemble Weather Forecasting with Diffusion models
di: Andrae, Martin, et al.
Pubblicazione: (2024)

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

DAISI: Data Assimilation with Inverse Sampling using Stochastic Interpolants
di: Andrae, Martin, et al.
Pubblicazione: (2025)

Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting
di: Holmberg, Daniel, et al.
Pubblicazione: (2026)

Climate Downscaling with Stochastic Interpolants (CDSI)
di: Larsson, Erik, et al.
Pubblicazione: (2026)

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

FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting
di: Han, Tao, et al.
Pubblicazione: (2024)

Beyond Resolution: Multi-Scale Weather and Climate Data for Alpine Renewable Energy in the Digital Twin Era -- First Evaluations and Recommendations
di: Schicker, Irene, et al.
Pubblicazione: (2025)

Terrain-aware Deep Learning for Wind Energy Applications: From Kilometer-scale Forecasts to Fine Wind Fields
di: Lin, Chensen, et al.
Pubblicazione: (2025)

AI-Based Regional Emulation for Kilometer-Scale Dynamical Downscaling
di: Sha, Yingkai, et al.
Pubblicazione: (2026)

PEAR: Equal Area Weather Forecasting on the Sphere
di: Linander, Hampus, et al.
Pubblicazione: (2025)

How does an AI Weather Model Learn to Forecast Extreme Weather?
di: Baiman, Rebecca, et al.
Pubblicazione: (2025)

FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models
di: Nath, Pritthijit, et al.
Pubblicazione: (2025)

Evaluating the Predictability of Selected Weather Extremes with Aurora, an AI Weather Forecast Model
di: Huang, Qin, et al.
Pubblicazione: (2026)

Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning
di: Nath, Pritthijit, et al.
Pubblicazione: (2026)

Global Kilometer-Scale Simulations with ARP-GEM2: Effect of Parameterized Convection and Calibration
di: Geoffroy, Olivier, et al.
Pubblicazione: (2025)

Weather Prediction with Diffusion Guided by Realistic Forecast Processes
di: Hua, Zhanxiang, et al.
Pubblicazione: (2024)

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

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts
di: Lehmann, Fanny, et al.
Pubblicazione: (2026)

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

The Jive Verification System and its Transformative Impact on Weather Forecasting Operations
di: Loveday, Nicholas, et al.
Pubblicazione: (2024)

Learning Data-driven Surrogate and Correction Models for Satellite Observations in Numerical Weather Prediction
di: Buono, Gian Luca, et al.
Pubblicazione: (2026)

SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland
di: Assouline, Dan, et al.
Pubblicazione: (2026)

Super Resolution On Global Weather Forecasts
di: Zhang, Lawrence, et al.
Pubblicazione: (2024)

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

OneForecast: A Universal Framework for Global and Regional Weather Forecasting
di: Gao, Yuan, et al.
Pubblicazione: (2025)

Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting
di: Ozdemir, Firat, et al.
Pubblicazione: (2026)

YingLong-weather: AI-Based Limited Area Models for Forecasting of Non-precipitation Surface Meteorological Variables
di: Xu, Pengbo, et al.
Pubblicazione: (2024)

Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model
di: Loveday, Nicholas, et al.
Pubblicazione: (2025)

Future Amplification of Moist Weather Extremes in the Midlatitudes
di: Li, Funing, et al.
Pubblicazione: (2026)

Warming from cold pools: A pathway for mesoscale organization to alter Earth's radiation budget
di: Alinaghi, Pouriya, et al.
Pubblicazione: (2025)

Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts
di: Leinonen, Jussi, et al.
Pubblicazione: (2024)

Global Forecasting of Tropical Cyclone Intensity Using Neural Weather Models
di: Gomez, Milton, et al.
Pubblicazione: (2025)

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

Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks
di: Höhlein, Kevin, et al.
Pubblicazione: (2023)

Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting
di: Pereira, Carlos A., et al.
Pubblicazione: (2026)

S$^2$Transformer: Scalable Structured Transformers for Global Station Weather Forecasting
di: Chen, Hongyi, et al.
Pubblicazione: (2025)

VarteX: Enhancing Weather Forecast through Distributed Variable Representation
di: Ueyama, Ayumu, et al.
Pubblicazione: (2024)

MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model
di: Qin, Haoyu, et al.
Pubblicazione: (2024)