Cover Image

Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Brazidec, Joffrey Dumont Le, Lang, Simon, Leutbecher, Martin, Raoult, Baudouin, Mertes, Gert, Pinault, Florian, Tsiringakis, Aristofanis, Maciel, Pedro, Nemesio, Ana Prieto, Polster, Jan, Brien, Cathal O, Chantry, Matthew
Format:	Preprint
Published:	2026
Subjects:	Atmospheric and Oceanic Physics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An update to ECMWF's machine-learned weather forecast model AIFS
by: Moldovan, Gabriel, et al.
Published: (2025)

AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score
by: Lang, Simon, et al.
Published: (2024)

The rise of data-driven weather forecasting
by: Ben-Bouallegue, Zied, et al.
Published: (2023)

AIFS -- ECMWF's data-driven forecasting system
by: Lang, Simon, et al.
Published: (2024)

AIFS-COMPO: A Global Data-Driven Atmospheric Composition Forecasting System
by: Harder, Paula, et al.
Published: (2026)

Representing the Surface Ocean in ECMWF's data-driven forecasting system AIFS
by: Hahner, Sara, et al.
Published: (2026)

Data driven weather forecasts trained and initialised directly from observations
by: McNally, Anthony, et al.
Published: (2024)

Hybrid weather prediction using spectral nudging toward machine-learning forecasts
by: Polichtchouk, I., et al.
Published: (2026)

A multi-scale loss formulation for learning a probabilistic model with proper score optimisation
by: Lang, Simon, et al.
Published: (2025)

Unbiased calculation, evaluation, and calibration of ensemble forecast anomalies
by: Roberts, Christopher D., et al.
Published: (2024)

Regional data-driven weather modeling with a global stretched-grid
by: Nipen, Thomas Nils, et al.
Published: (2024)

GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations
by: Alexe, Mihai, et al.
Published: (2024)

Observation-guided Interpolation Using Graph Neural Networks for High-Resolution Nowcasting in Switzerland
by: Miralles, Ophélia, et al.
Published: (2025)

Aardvark weather: end-to-end data-driven weather forecasting
by: Vaughan, Anna, et al.
Published: (2024)

Boosting weather forecast via generative superensemble
by: Nai, Congyi, et al.
Published: (2024)

Robustness of AI-based weather forecasts in a changing climate
by: Rackow, Thomas, et al.
Published: (2024)

"What is a realistic forecast?" Assessing data-driven weather forecasts, a journey from verification to falsification
by: Bouallègue, Zied Ben
Published: (2026)

Multivariate post-processing of probabilistic sub-seasonal weather regime forecasts
by: Mockert, Fabian, et al.
Published: (2024)

BharatBench: Dataset for data-driven weather forecasting over India
by: Choudhury, Animesh, et al.
Published: (2024)

Windows of opportunity in subseasonal weather regime forecasting: A statistical-dynamical approach
by: Mockert, Fabian, et al.
Published: (2025)

Cast3: Translating numerical weather prediction principles into data-driven forecasting
by: Nai, Congyi, et al.
Published: (2026)

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

Leveraging deterministic weather forecasts for in-situ probabilistic temperature predictions via deep learning
by: Landry, David, et al.
Published: (2024)

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

AI-driven weather forecasts enable anticipated attribution of extreme events to human-made climate change
by: Jiménez-Esteve, Bernat, et al.
Published: (2024)

Interpolation of mountain weather forecasts by machine learning
by: Iwase, Kazuma, et al.
Published: (2023)

Rainfall forecasts in daily use over East Africa improved by machine learning
by: Cooper, Fenwick C., et al.
Published: (2025)

Development of a Data-driven weather forecasting system over India with Pangu-Weather architecture and IMDAA reanalysis Data
by: Choudhury, Animesh, et al.
Published: (2025)

Decomposing weather forecasting into advection and convection with neural networks
by: Chen, Mengxuan, et al.
Published: (2024)

Skillful joint probabilistic weather forecasting from marginals
by: Alet, Ferran, et al.
Published: (2025)

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

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

Generative AI-Downscaling of Large Ensembles Project Unprecedented Future Droughts
by: Lewis, Hamish, et al.
Published: (2025)

Skillful high-resolution weather forecasting independent of physical models
by: Zhao, Pengcheng, et al.
Published: (2026)

GenCast: Diffusion-based ensemble forecasting for medium-range weather
by: Price, Ilan, et al.
Published: (2023)

An ensemble of data-driven weather prediction models for operational sub-seasonal forecasting
by: Weyn, Jonathan A., et al.
Published: (2024)

Improvements to the post-processing of weather forecasts using machine learning and feature selection
by: Iwase, Kazuma, et al.
Published: (2026)

Identifying high resolution benchmark data needs and Novel data-driven methodologies for Climate Downscaling
by: Curran, Declan, et al.
Published: (2024)

Rapid Climate Model Downscaling to Assess Risk of Extreme Rainfall in Bangladesh in a Warming Climate
by: Saha, Anamitra, et al.
Published: (2024)

30-meter Land Surface Temperature from Landsat via Progressive Self-Training Downscaling
by: Shen, Huanfeng, et al.
Published: (2026)