Cover Image

FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Qiusheng, Zhong, Xiaohui, Fan, Xu, Chen, Lei, Li, Hao
Format:	Preprint
Published:	2025
Subjects:	Atmospheric and Oceanic Physics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution
by: Huang, Qiusheng, et al.
Published: (2025)

FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting
by: Zhong, Xiaohui, et al.
Published: (2024)

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)

FuXi-S2S: A machine learning model that outperforms conventional global subseasonal forecast models
by: Chen, Lei, et al.
Published: (2023)

FuXi-2.0: Advancing machine learning weather forecasting model for practical applications
by: Zhong, Xiaohui, et al.
Published: (2024)

FuXi-Nowcast: Environment-conditioned deep learning for severe convection nowcasting
by: Chen, Lei, et al.
Published: (2025)

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

FuXiWeather2: Learning accurate atmospheric state estimation for operational global weather forecasting
by: Xu, Xiaoze, et al.
Published: (2026)

FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts
by: Guo, Shan, et al.
Published: (2025)

Data-driven ensemble prediction of the global ocean
by: Huang, Qiusheng, 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)

Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution
by: Tu, Siwei, et al.
Published: (2025)

A Physics-Guided AI Cascaded Corrector Model Significantly Extends Madden-Julian Oscillation Prediction Skill
by: Zhou, Xiao, et al.
Published: (2025)

HybridOM: Hybrid Physics-Based and Data-Driven Global Ocean Modeling with Efficient Spatial Downscaling
by: Shu, Ruiqi, et al.
Published: (2026)

Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models
by: Ling, Fenghua, et al.
Published: (2024)

Generative artificial intelligence improves projections of climate extremes
by: Tie, Ruian, et al.
Published: (2025)

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

DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling
by: Li, Wenyuan, et al.
Published: (2024)

Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations
by: Xu, Xiaoze, et al.
Published: (2024)

DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
by: Gong, Junchao, et al.
Published: (2025)

Data-driven Global Ocean Modeling for Seasonal to Decadal Prediction
by: Guo, Zijie, et al.
Published: (2024)

STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting
by: Chen, Hao, et al.
Published: (2025)

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

Searth Transformer: A Transformer Architecture Incorporating Earth's Geospheric Physical Priors for Global Mid-Range Weather Forecasting
by: Li, Tianye, et al.
Published: (2026)

SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction
by: Jiang, Zheng, et al.
Published: (2025)

Improved Forecasts of Global Extreme Marine Heatwaves Through a Physics-guided Data-driven Approach
by: Shu, Ruiqi, et al.
Published: (2024)

Transferring climate change physical knowledge
by: Immorlano, Francesco, et al.
Published: (2023)

Skillful Subseasonal-to-Seasonal Forecasting of Extreme Events with a Multi-Sphere Coupled Probabilistic Model
by: Mu, Bin, et al.
Published: (2025)

Improving Significant Wave Height Prediction Using Chronos Models
by: Zhai, Yilin, et al.
Published: (2025)

FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation
by: Xiao, Yi, et al.
Published: (2023)

RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges
by: Li, Ruize, et al.
Published: (2026)

Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations
by: Fan, Da, et al.
Published: (2023)

Conformal Prediction for Generative Models via Adaptive Cluster-Based Density Estimation
by: Yang, Qidong, et al.
Published: (2026)

MetaSD: A Unified Framework for Scalable Downscaling of Meteorological Variables in Diverse Situations
by: Hu, Jing, et al.
Published: (2024)

AI-Driven Reinvention of Hydrological Modeling for Accurate Predictions and Interpretation to Transform Earth System Modeling
by: Xia, Cuihui, et al.
Published: (2025)

Evaluating Deep Learning Approaches for Predictions in Unmonitored Basins with Continental-scale Stream Temperature Models
by: Willard, Jared D., et al.
Published: (2024)

ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting
by: Xiang, Yanfei, et al.
Published: (2024)

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
by: Zhang, Yihe, et al.
Published: (2024)

Physics-Informed Residual Neural Ordinary Differential Equations for Enhanced Tropical Cyclone Intensity Forecasting
by: Meng, Fan
Published: (2025)

WeatherFormer: Empowering Global Numerical Weather Forecasting with Space-Time Transformer
by: Gong, Junchao, et al.
Published: (2024)