Cover Image

Benchmarking AI-based data assimilation to advance data-driven global weather forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Wuxin, Ni, Weicheng, Fei, Ben, Han, Tao, Huang, Lilan, Yuan, Taikang, Li, Xiaoyong, Bai, Lei, Duan, Boheng, Ren, Kaijun
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

XiChen: A global weather observation-to-forecast machine learning system via four-dimensional variational gradient-guided flexible assimilation
by: Wang, Wuxin, et al.
Published: (2025)

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

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

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast
by: Wang, Jingnan, et al.
Published: (2025)

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

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

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

Huracan: A skillful end-to-end data-driven system for ensemble data assimilation and weather prediction
by: Ni, Zekun, et al.
Published: (2025)

Towards an end-to-end artificial intelligence driven global weather forecasting system
by: Chen, Kun, et al.
Published: (2023)

A neural network-based observation operator for weather radar data assimilation
by: Stefanelli, Marco, et al.
Published: (2025)

A data-driven global ocean forecasting model with sub-daily and eddy-resolving resolution
by: Niu, Yuan, et al.
Published: (2025)

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

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

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

Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers
by: Chattopadhyay, Ashesh, et al.
Published: (2021)

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

WeatherBench 2: A benchmark for the next generation of data-driven global weather models
by: Rasp, Stephan, et al.
Published: (2023)

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting
by: Wijnands, Jasper S., et al.
Published: (2025)

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

Representing the Surface Ocean in ECMWF's data-driven forecasting system AIFS
by: Hahner, Sara, 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)

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

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

Generative assimilation and prediction for weather and climate
by: Yang, Shangshang, 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)

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

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

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

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere
by: Ling, Fenghua, et al.
Published: (2024)

AI-based data assimilation: Learning the functional of analysis estimation
by: Keller, Jan D., et al.
Published: (2024)

Learning more physically realistic dynamics in machine-learning based weather forecasting with latent-space constraints
by: Fan, Hang, et al.
Published: (2025)

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

Skilful global seasonal predictions from a machine learning weather model trained on reanalysis data
by: Kent, Chris, et al.
Published: (2025)

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

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

Advancing global aerosol forecasting with artificial intelligence
by: Gui, Ke, et al.
Published: (2024)

Spatial verification of global precipitation forecasts
by: Skok, Gregor, et al.
Published: (2024)

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)

Uncertainty quantification for data-driven weather models
by: Bülte, Christopher, et al.
Published: (2024)