Imagen de Portada

Forecasting the Future with Future Technologies: Advancements in Large Meteorological Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Shu, Hailong, Wang, Yue, Song, Weiwei, Guo, Huichuang, Song, Zhen
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence Atmospheric and Oceanic Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges
por: Hadid, Abdenour, et al.
Publicado: (2024)

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

FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting
por: Han, Tao, et al.
Publicado: (2024)

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams
por: Lee, ChangJae, et al.
Publicado: (2025)

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

PuYun: Medium-Range Global Weather Forecasting Using Large Kernel Attention Convolutional Networks
por: Zhu, Shengchen, et al.
Publicado: (2024)

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

Ocean Wave Forecasting with Deep Learning as Alternative to Conventional Models
por: Zhang, Ziliang, et al.
Publicado: (2024)

Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics
por: Cachay, Salva Rühling, et al.
Publicado: (2025)

Forecasting the Future with Yesterday's Climate: Temperature Bias in AI Weather and Climate Models
por: Landsberg, Jacob B., et al.
Publicado: (2025)

Leveraging an Atmospheric Foundational Model for Subregional Sea Surface Temperature Forecasting
por: Medina, Víctor, et al.
Publicado: (2025)

Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization
por: Guo, Yizhen, et al.
Publicado: (2024)

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

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

Advanced Torrential Loss Function for Precipitation Forecasting
por: Choi, Jaeho, et al.
Publicado: (2025)

TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness
por: Huang, Cheng, et al.
Publicado: (2024)

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

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System
por: Cuervo-Londoño, Giovanny A., et al.
Publicado: (2025)

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

On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
por: Fu, Yisong, et al.
Publicado: (2024)

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

Turning Up the Heat: Assessing 2-m Temperature Forecast Errors in AI Weather Prediction Models During Heat Waves
por: Ennis, Kelsey E., et al.
Publicado: (2025)

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

Forecasting the Ionosphere from Sparse GNSS Data with Temporal-Fusion Transformers
por: Acciarini, Giacomo, et al.
Publicado: (2025)

HurriCast: Synthetic Tropical Cyclone Track Generation for Hurricane Forecasting
por: Gao, Shouwei, et al.
Publicado: (2023)

CNN-based Surface Temperature Forecasts with Ensemble Numerical Weather Prediction
por: Inoue, Takuya, et al.
Publicado: (2025)

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

Efficient Localized Adaptation of Neural Weather Forecasting: A Case Study in the MENA Region
por: Munir, Muhammad Akhtar, et al.
Publicado: (2024)

U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster
por: Cachay, Salva Rühling, et al.
Publicado: (2026)

IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior
por: Xu, Jingyi, et al.
Publicado: (2024)

IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India
por: Nguyen, Tung, et al.
Publicado: (2025)

FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
por: Chen, Kang, et al.
Publicado: (2023)

Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
por: Hua, Zhanxiang, et al.
Publicado: (2025)

AdaNAS: Adaptively Post-processing with Self-supervised Neural Architecture Search for Ensemble Rainfall Forecasts
por: Wen, Yingpeng, et al.
Publicado: (2023)

A Self-Evolving AI Agent System for Climate Science
por: Guo, Zijie, et al.
Publicado: (2025)

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

CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks
por: Jeon, Hyeon-Ju, et al.
Publicado: (2024)

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

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