Cover Image

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qiu, Minghui, Chen, Jun, Chen, Lin, Chen, Weifeng, Zhong, Shuxin, Liu, Zhidan, Zhang, Yu, Wu, Kaishun
Format:	Preprint
Published:	2026
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

A Storm-Centric 250 m NEXRAD Level-II Dataset for High-Resolution ML Nowcasting
by: Shi, Andy
Published: (2025)

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

Nowcast3D: Reliable precipitation nowcasting via gray-box learning
by: Chen, Huaguan, et al.
Published: (2025)

How Effective Are Time-Series Models for Precipitation Nowcasting? A Comprehensive Benchmark for GNSS-based Precipitation Nowcasting
by: Zhang, Yifang, et al.
Published: (2025)

CloudCast -- Total Cloud Cover Nowcasting with Machine Learning
by: Partio, Mikko, et al.
Published: (2024)

Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models
by: Leclerc, Antoine, et al.
Published: (2025)

Advancing Spatio-temporal Storm Surge Prediction with Hierarchical Deep Neural Networks
by: Naeini, Saeed Saviz, et al.
Published: (2024)

An Operational Deep Learning System for Satellite-Based High-Resolution Global Nowcasting
by: Agrawal, Shreya, et al.
Published: (2025)

Observation-guided Interpolation Using Graph Neural Networks for High-Resolution Nowcasting in Switzerland
by: Miralles, Ophélia, et al.
Published: (2025)

Generative Nowcasting of Marine Fog Visibility in the Grand Banks area and Sable Island in Canada
by: Gultepe, Eren, et al.
Published: (2024)

MAG-Net: Physics-Aware Multi-Modal Fusion of Geostationary Satellite and Radar for Severe Convective Precipitation Nowcasting
by: Chen, Dandan, et al.
Published: (2026)

Physics-Informed Lightweight Machine Learning for Aviation Visibility Nowcasting Across Multiple Climatic Regimes
by: Castillo, Marcelo Cerda
Published: (2025)

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

WADEPre: A Wavelet-based Decomposition Model for Extreme Precipitation Nowcasting with Multi-Scale Learning
by: Liu, Baitian, et al.
Published: (2026)

Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models
by: Chen, Shengchao, et al.
Published: (2024)

Ecosystem Evolution and Drivers across the Tibetan Plateau and Surrounding Regions
by: Xie, Yiran, et al.
Published: (2025)

The Australian Identification, Nowcasting and Tracking Algorithm (A.I.N.T.)
by: Brook, Jordan, et al.
Published: (2025)

A Comparative Study of Convolutional and Recurrent Neural Networks for Storm Surge Prediction in Tampa Bay
by: Ghahfarokhi, Mandana Farhang, et al.
Published: (2024)

Storm Surge Modeling in the AI ERA: Using LSTM-based Machine Learning for Enhancing Forecasting Accuracy
by: Giaremis, Stefanos, et al.
Published: (2024)

A Lagrangian Perspective on the Growth of Midlatitude Storms
by: Hadas, Or, et al.
Published: (2024)

StormDiT: A generative AI model bridges the 2-6 hour 'gray zone' in precipitation nowcasting
by: Sun, Haofei, et al.
Published: (2026)

Learning Accurate Storm-Scale Evolution from Observations
by: Pathak, Jaideep, et al.
Published: (2026)

Predictability of Storms in an Idealized Climate Revealed by Machine Learning
by: Yao, Wuqiushi, et al.
Published: (2025)

Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán
by: Charlton-Perez, Andrew J., et al.
Published: (2023)

Quantifying the Influence of Climate on Storm Activity Using Machine Learning
by: Hadas, Or, et al.
Published: (2025)

Interpretable Machine Learning for Urban Heat Mitigation: Attribution and Weighting of Multi-Scale Drivers
by: Tschan, David, et al.
Published: (2025)

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

An Efficient Regional Storm Surge Surrogate Model Training Strategy Under Evolving Landscape and Climate Scenarios
by: Liu, Ziyue, et al.
Published: (2025)

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

S$^2$Transformer: Scalable Structured Transformers for Global Station Weather Forecasting
by: Chen, Hongyi, et al.
Published: (2025)

Skillful Nowcasting of Convective Clouds With a Cascade Diffusion Model
by: Chen, Haoming, et al.
Published: (2025)

VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting
by: Chen, Hao, et al.
Published: (2024)

Data-Driven Integration Kernels for Interpretable Nonlocal Operator Learning
by: Ferretti, Savannah L., et al.
Published: (2026)

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting
by: Xiong, Tianyi, et al.
Published: (2025)

Integrating Weather Station Data and Radar for Precipitation Nowcasting: SmaAt-fUsion and SmaAt-Krige-GNet
by: Shi, Jie, et al.
Published: (2025)

MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model
by: Qin, Haoyu, et al.
Published: (2024)

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

Impact of Storm Surge and Power Peaking on Tidal-Fluvial Dynamics in Microtidal Neretva River Estuary
by: Krvavica, Nino, et al.
Published: (2024)

Elucidation of Unique Developmental Mechanism of Storm Surge along Northern Coast of Kyushu Island, Japan
by: Ozaki, Shinichiro, et al.
Published: (2024)

CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates
by: Liu, Shuchang, et al.
Published: (2025)