A Storm-Centric 250 m NEXRAD Level-II Dataset for High-Resolution ML Nowcasting
Fuente:
arXiv
Guardado en:
| Autor principal: | Shi, Andy |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers
por: Qiu, Minghui, et al.
Publicado: (2026)
por: Qiu, Minghui, et al.
Publicado: (2026)
An Operational Deep Learning System for Satellite-Based High-Resolution Global Nowcasting
por: Agrawal, Shreya, et al.
Publicado: (2025)
por: Agrawal, Shreya, et al.
Publicado: (2025)
Observation-guided Interpolation Using Graph Neural Networks for High-Resolution Nowcasting in Switzerland
por: Miralles, Ophélia, et al.
Publicado: (2025)
por: Miralles, Ophélia, et al.
Publicado: (2025)
CloudCast -- Total Cloud Cover Nowcasting with Machine Learning
por: Partio, Mikko, et al.
Publicado: (2024)
por: Partio, Mikko, et al.
Publicado: (2024)
Nowcast3D: Reliable precipitation nowcasting via gray-box learning
por: Chen, Huaguan, et al.
Publicado: (2025)
por: Chen, Huaguan, et al.
Publicado: (2025)
FuXi-Nowcast: Environment-conditioned deep learning for severe convection nowcasting
por: Chen, Lei, et al.
Publicado: (2025)
por: Chen, Lei, et al.
Publicado: (2025)
Generative Nowcasting of Marine Fog Visibility in the Grand Banks area and Sable Island in Canada
por: Gultepe, Eren, et al.
Publicado: (2024)
por: Gultepe, Eren, et al.
Publicado: (2024)
Physics-Informed Lightweight Machine Learning for Aviation Visibility Nowcasting Across Multiple Climatic Regimes
por: Castillo, Marcelo Cerda
Publicado: (2025)
por: Castillo, Marcelo Cerda
Publicado: (2025)
ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation
por: Yu, Sungduk, et al.
Publicado: (2023)
por: Yu, Sungduk, et al.
Publicado: (2023)
A Comparative Study of Convolutional and Recurrent Neural Networks for Storm Surge Prediction in Tampa Bay
por: Ghahfarokhi, Mandana Farhang, et al.
Publicado: (2024)
por: Ghahfarokhi, Mandana Farhang, et al.
Publicado: (2024)
Advancing Spatio-temporal Storm Surge Prediction with Hierarchical Deep Neural Networks
por: Naeini, Saeed Saviz, et al.
Publicado: (2024)
por: Naeini, Saeed Saviz, et al.
Publicado: (2024)
How Effective Are Time-Series Models for Precipitation Nowcasting? A Comprehensive Benchmark for GNSS-based Precipitation Nowcasting
por: Zhang, Yifang, et al.
Publicado: (2025)
por: Zhang, Yifang, et al.
Publicado: (2025)
A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data
por: Veillette, Mark S., et al.
Publicado: (2024)
por: Veillette, Mark S., et al.
Publicado: (2024)
Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models
por: Leclerc, Antoine, et al.
Publicado: (2025)
por: Leclerc, Antoine, et al.
Publicado: (2025)
Storm Surge Modeling in the AI ERA: Using LSTM-based Machine Learning for Enhancing Forecasting Accuracy
por: Giaremis, Stefanos, et al.
Publicado: (2024)
por: Giaremis, Stefanos, et al.
Publicado: (2024)
Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán
por: Charlton-Perez, Andrew J., et al.
Publicado: (2023)
por: Charlton-Perez, Andrew J., et al.
Publicado: (2023)
OMG-HD: A High-Resolution AI Weather Model for End-to-End Forecasts from Observations
por: Zhao, Pengcheng, et al.
Publicado: (2024)
por: Zhao, Pengcheng, et al.
Publicado: (2024)
Spatial Temporal Approach for High-Resolution Gridded Wind Forecasting across Southwest Western Australia
por: Chen, Fuling, et al.
Publicado: (2024)
por: Chen, Fuling, et al.
Publicado: (2024)
Navigating the Noise: Bringing Clarity to ML Parameterization Design with O(100) Ensembles
por: Lin, Jerry, et al.
Publicado: (2023)
por: Lin, Jerry, et al.
Publicado: (2023)
Machine Learning Framework for High-Resolution Air Temperature Downscaling Using LiDAR-Derived Urban Morphological Features
por: Chajaei, Fatemeh, et al.
Publicado: (2024)
por: Chajaei, Fatemeh, et al.
Publicado: (2024)
Super Resolution On Global Weather Forecasts
por: Zhang, Lawrence, et al.
Publicado: (2024)
por: Zhang, Lawrence, et al.
Publicado: (2024)
Crowdsourcing the Frontier: Advancing Hybrid Physics-ML Climate Simulation via a $50,000 Kaggle Competition
por: Lin, Jerry, et al.
Publicado: (2025)
por: Lin, Jerry, et al.
Publicado: (2025)
Investigating the Robustness of Extreme Precipitation Super-Resolution Across Climates
por: Largeau, Louise, et al.
Publicado: (2025)
por: Largeau, Louise, et al.
Publicado: (2025)
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
por: Mouatadid, Soukayna, et al.
Publicado: (2021)
por: Mouatadid, Soukayna, et al.
Publicado: (2021)
Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations
por: Fan, Da, et al.
Publicado: (2023)
por: Fan, Da, et al.
Publicado: (2023)
Probabilistic Super-Resolution for Urban Micrometeorology via a Schrödinger Bridge
por: Yasuda, Yuki, et al.
Publicado: (2025)
por: Yasuda, Yuki, et al.
Publicado: (2025)
PODiff: Latent Diffusion in Proper Orthogonal Decomposition Space for Scientific Super-Resolution
por: Jadhav, Onkar, et al.
Publicado: (2026)
por: Jadhav, Onkar, et al.
Publicado: (2026)
AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion
por: Luitel, Somnath, et al.
Publicado: (2026)
por: Luitel, Somnath, et al.
Publicado: (2026)
Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data and Application to Ukraine
por: Benton, Brandon N., et al.
Publicado: (2024)
por: Benton, Brandon N., et al.
Publicado: (2024)
Beyond Resolution: Multi-Scale Weather and Climate Data for Alpine Renewable Energy in the Digital Twin Era -- First Evaluations and Recommendations
por: Schicker, Irene, et al.
Publicado: (2025)
por: Schicker, Irene, et al.
Publicado: (2025)
Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields
por: Zambra, Matteo, et al.
Publicado: (2023)
por: Zambra, Matteo, et al.
Publicado: (2023)
Integrating Weather Station Data and Radar for Precipitation Nowcasting: SmaAt-fUsion and SmaAt-Krige-GNet
por: Shi, Jie, et al.
Publicado: (2025)
por: Shi, Jie, et al.
Publicado: (2025)
Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear array
por: Ginio, Noam, et al.
Publicado: (2024)
por: Ginio, Noam, et al.
Publicado: (2024)
mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations
por: Ma, Yiling, et al.
Publicado: (2025)
por: Ma, Yiling, et al.
Publicado: (2025)
IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior
por: Xu, Jingyi, et al.
Publicado: (2024)
por: Xu, Jingyi, et al.
Publicado: (2024)
Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
por: Mahesh, Ankur, et al.
Publicado: (2024)
por: Mahesh, Ankur, et al.
Publicado: (2024)
The Australian Identification, Nowcasting and Tracking Algorithm (A.I.N.T.)
por: Brook, Jordan, et al.
Publicado: (2025)
por: Brook, Jordan, et al.
Publicado: (2025)
Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events
por: Pasche, Olivier C., et al.
Publicado: (2024)
por: Pasche, Olivier C., et al.
Publicado: (2024)
CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty Quantification
por: Shi, Jimeng, et al.
Publicado: (2024)
por: Shi, Jimeng, et al.
Publicado: (2024)
Refined climatologies of future precipitation over High Mountain Asia using probabilistic ensemble learning
por: Tazi, Kenza, et al.
Publicado: (2025)
por: Tazi, Kenza, et al.
Publicado: (2025)
Ejemplares similares
-
Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers
por: Qiu, Minghui, et al.
Publicado: (2026) -
An Operational Deep Learning System for Satellite-Based High-Resolution Global Nowcasting
por: Agrawal, Shreya, et al.
Publicado: (2025) -
Observation-guided Interpolation Using Graph Neural Networks for High-Resolution Nowcasting in Switzerland
por: Miralles, Ophélia, et al.
Publicado: (2025) -
CloudCast -- Total Cloud Cover Nowcasting with Machine Learning
por: Partio, Mikko, et al.
Publicado: (2024) -
Nowcast3D: Reliable precipitation nowcasting via gray-box learning
por: Chen, Huaguan, et al.
Publicado: (2025)