FuXi-S2S: A machine learning model that outperforms conventional global subseasonal forecast models
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Lei, Zhong, Xiaohui, Li, Hao, Wu, Jie, Lu, Bo, Chen, Deliang, Xie, Shangping, Chao, Qingchen, Lin, Chensen, Hu, Zixin, Qi, Yuan |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FuXi Weather: A data-to-forecast machine learning system for global weather
by: Sun, Xiuyu, et al.
Published: (2024)
by: Sun, Xiuyu, et al.
Published: (2024)
FuXi-2.0: Advancing machine learning weather forecasting model for practical applications
by: Zhong, Xiaohui, et al.
Published: (2024)
by: Zhong, Xiaohui, et al.
Published: (2024)
FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting
by: Zhong, Xiaohui, et al.
Published: (2024)
by: Zhong, Xiaohui, et al.
Published: (2024)
FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts
by: Guo, Shan, et al.
Published: (2025)
by: Guo, Shan, et al.
Published: (2025)
Enhanced predictions of the Madden-Julian oscillation using the FuXi-S2S machine learning model: Insights into physical mechanisms
by: Cao, Can, et al.
Published: (2025)
by: Cao, Can, et al.
Published: (2025)
FuXi-Nowcast: Environment-conditioned deep learning for severe convection nowcasting
by: Chen, Lei, et al.
Published: (2025)
by: Chen, Lei, et al.
Published: (2025)
FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling
by: Huang, Qiusheng, et al.
Published: (2025)
by: Huang, Qiusheng, et al.
Published: (2025)
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution
by: Huang, Qiusheng, et al.
Published: (2025)
by: Huang, Qiusheng, et al.
Published: (2025)
FuXiWeather2: Learning accurate atmospheric state estimation for operational global weather forecasting
by: Xu, Xiaoze, et al.
Published: (2026)
by: Xu, Xiaoze, et al.
Published: (2026)
FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere
by: Ling, Fenghua, et al.
Published: (2024)
by: Ling, Fenghua, et al.
Published: (2024)
A data-driven global ocean forecasting model with sub-daily and eddy-resolving resolution
by: Niu, Yuan, et al.
Published: (2025)
by: Niu, Yuan, et al.
Published: (2025)
Ensemble reliability and the signal-to-noise paradox in large-ensemble subseasonal forecasts
by: Roberts, Christopher David, et al.
Published: (2024)
by: Roberts, Christopher David, et al.
Published: (2024)
An update to ECMWF's machine-learned weather forecast model AIFS
by: Moldovan, Gabriel, et al.
Published: (2025)
by: Moldovan, Gabriel, et al.
Published: (2025)
Windows of opportunity in subseasonal weather regime forecasting: A statistical-dynamical approach
by: Mockert, Fabian, et al.
Published: (2025)
by: Mockert, Fabian, et al.
Published: (2025)
Terrain-aware Deep Learning for Wind Energy Applications: From Kilometer-scale Forecasts to Fine Wind Fields
by: Lin, Chensen, et al.
Published: (2025)
by: Lin, Chensen, et al.
Published: (2025)
Seasonal forecasting using the GenCast probabilistic machine learning model
by: Antonio, Bobby, et al.
Published: (2025)
by: Antonio, Bobby, et al.
Published: (2025)
The role of the oceans for subseasonal prediction: insights from eddy-permitting and eddy-rich coupled forecast systems
by: Roberts, Christopher David, et al.
Published: (2026)
by: Roberts, Christopher David, et al.
Published: (2026)
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)
by: Wang, Wuxin, et al.
Published: (2025)
Skilful global seasonal predictions from a machine learning weather model trained on reanalysis data
by: Kent, Chris, et al.
Published: (2025)
by: Kent, Chris, et al.
Published: (2025)
Rainfall forecasts in daily use over East Africa improved by machine learning
by: Cooper, Fenwick C., et al.
Published: (2025)
by: Cooper, Fenwick C., et al.
Published: (2025)
Hybrid weather prediction using spectral nudging toward machine-learning forecasts
by: Polichtchouk, I., et al.
Published: (2026)
by: Polichtchouk, I., et al.
Published: (2026)
Improving forecasts of precipitation extremes over Northern and Central Italy using machine learning
by: Grazzini, Federico, et al.
Published: (2024)
by: Grazzini, Federico, et al.
Published: (2024)
Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning
by: Gregory, William, et al.
Published: (2025)
by: Gregory, William, et al.
Published: (2025)
ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses
by: Watt-Meyer, Oliver, et al.
Published: (2024)
by: Watt-Meyer, Oliver, et al.
Published: (2024)
Interpolation of mountain weather forecasts by machine learning
by: Iwase, Kazuma, et al.
Published: (2023)
by: Iwase, Kazuma, et al.
Published: (2023)
AI-informed model-analogs for understanding subseasonal-to-seasonal jet stream and North American temperature predictability
by: Landsberg, Jacob B., et al.
Published: (2025)
by: Landsberg, Jacob B., et al.
Published: (2025)
Spatial verification of global precipitation forecasts
by: Skok, Gregor, et al.
Published: (2024)
by: Skok, Gregor, et al.
Published: (2024)
Advancing global aerosol forecasting with artificial intelligence
by: Gui, Ke, et al.
Published: (2024)
by: Gui, Ke, et al.
Published: (2024)
Diagnostic vs dynamic representation of the inverse barometer effect in a global ocean model and its potential for probabilistic storm surge forecasting
by: Kristensen, Nils Melsom, et al.
Published: (2025)
by: Kristensen, Nils Melsom, et al.
Published: (2025)
Solar and anthropogenic climate drivers: an updated regression model and refined forecast
by: Stefani, Frank
Published: (2026)
by: Stefani, Frank
Published: (2026)
EWMoE: An effective model for global weather forecasting with mixture-of-experts
by: Gan, Lihao, et al.
Published: (2024)
by: Gan, Lihao, 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)
by: Iwase, Kazuma, et al.
Published: (2026)
Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting
by: Das, Puja, et al.
Published: (2024)
by: Das, Puja, et al.
Published: (2024)
Probabilistic reconstruction of global sea surface temperature using generative diffusion models
by: Li, Haijie, et al.
Published: (2026)
by: Li, Haijie, et al.
Published: (2026)
XiHe: A Data-Driven Model for Global Ocean Eddy-Resolving Forecasting
by: Wang, Xiang, et al.
Published: (2024)
by: Wang, Xiang, et al.
Published: (2024)
Accurate Mediterranean Sea forecasting via graph-based deep learning
by: Holmberg, Daniel, et al.
Published: (2025)
by: Holmberg, Daniel, et al.
Published: (2025)
Assessing the potential of state-of-the-art machine learning and physics-informed machine learning in predicting sea surface temperature
by: Sunil, Akshay, et al.
Published: (2024)
by: Sunil, Akshay, et al.
Published: (2024)
Data-driven ensemble prediction of the global ocean
by: Huang, Qiusheng, et al.
Published: (2026)
by: Huang, Qiusheng, et al.
Published: (2026)
Numerical models outperform AI weather forecasts of record-breaking extremes
by: Zhang, Zhongwei, et al.
Published: (2025)
by: Zhang, Zhongwei, et al.
Published: (2025)
Hybrid ensemble forecasting combining physics-based and machine-learning predictions through spectral nudging
by: Polichtchouk, Inna, et al.
Published: (2026)
by: Polichtchouk, Inna, et al.
Published: (2026)
Similar Items
-
FuXi Weather: A data-to-forecast machine learning system for global weather
by: Sun, Xiuyu, et al.
Published: (2024) -
FuXi-2.0: Advancing machine learning weather forecasting model for practical applications
by: Zhong, Xiaohui, et al.
Published: (2024) -
FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting
by: Zhong, Xiaohui, et al.
Published: (2024) -
FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts
by: Guo, Shan, et al.
Published: (2025) -
Enhanced predictions of the Madden-Julian oscillation using the FuXi-S2S machine learning model: Insights into physical mechanisms
by: Cao, Can, et al.
Published: (2025)