Cover Image

Data driven weather forecasts trained and initialised directly from observations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	McNally, Anthony, Lessig, Christian, Lean, Peter, Boucher, Eulalie, Alexe, Mihai, Pinnington, Ewan, Chantry, Matthew, Lang, Simon, Burrows, Chris, Chrust, Marcin, Pinault, Florian, Villeneuve, Ethel, Bormann, Niels, Healy, Sean
Format:	Preprint
Published:	2024
Subjects:	Atmospheric and Oceanic Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Learning from nature: insights into GraphDOP's representations of the Earth System
by: Lean, Peter, et al.
Published: (2025)

Using data assimilation tools to dissect GraphDOP
by: Laloyaux, Patrick, et al.
Published: (2025)

Learning Coupled Earth System Dynamics with GraphDOP
by: Boucher, Eulalie, et al.
Published: (2025)

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

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

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

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

Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models
by: Brazidec, Joffrey Dumont Le, et al.
Published: (2026)

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

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

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)

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

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

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

Impact of an Ensemble of Ocean Data Assimilations in ECMWF's next generation ocean reanalysis system
by: Chrust, Marcin, et al.
Published: (2024)

Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators
by: Wesselkamp, Marieke, et al.
Published: (2024)

Advancing operational PM2.5 forecasting with dual deep neural networks (D-DNet)
by: Cai, Shengjuan, et al.
Published: (2024)

Emerging AI-based weather prediction models as downscaling tools
by: Koldunov, Nikolay, et al.
Published: (2024)

Boosting weather forecast via generative superensemble
by: Nai, Congyi, 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)

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

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)

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)

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)

Skillful high-resolution weather forecasting independent of physical models
by: Zhao, Pengcheng, 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)

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

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

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)

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)

FuXi Weather: A data-to-forecast machine learning system for global weather
by: Sun, Xiuyu, et al.
Published: (2024)

HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales
by: Abdi, Daniel, et al.
Published: (2025)

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