A Spatial-temporal Deep Probabilistic Diffusion Model for Reliable Hail Nowcasting with Radar Echo Extrapolation
Fuente:
arXiv
Saved in:
| Main Authors: | Shi, Haonan, Tian, Long, Tao, Jie, Li, Yufei, Wang, Liming, Liu, Xiyang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing few-shot time series forecasting with LLM-guided diffusion
by: Shi, Haonan, et al.
Published: (2026)
by: Shi, Haonan, et al.
Published: (2026)
Do Echo Top Heights Improve Deep Learning Nowcasts?
by: Pavlík, Peter, et al.
Published: (2025)
by: Pavlík, Peter, et al.
Published: (2025)
REE-TTT: Highly Adaptive Radar Echo Extrapolation Based on Test-Time Training
by: Di, Xin, et al.
Published: (2026)
by: Di, Xin, et al.
Published: (2026)
IMPA-Net: Meteorology-Aware Multi-Scale Attention and Dynamic Loss for Extreme Convective Radar Nowcasting
by: Cui, Haofei, et al.
Published: (2026)
by: Cui, Haofei, et al.
Published: (2026)
A Diffusion-Contrastive Graph Neural Network with Virtual Nodes for Wind Nowcasting in Unobserved Regions
by: Shi, Jie, et al.
Published: (2026)
by: Shi, Jie, et al.
Published: (2026)
Improving Precipitation Nowcasting via Multiphysical Parameter Fusion in Radar Echo Extrapolation
by: Ye, Yuankang
Published: (2026)
by: Ye, Yuankang
Published: (2026)
Extending Precipitation Nowcasting Horizons via Spectral Fusion of Radar Observations and Foundation Model Priors
by: Qin, Yuze, et al.
Published: (2026)
by: Qin, Yuze, et al.
Published: (2026)
Integrating Weather Station Data and Radar for Precipitation Nowcasting: SmaAt-fUsion and SmaAt-Krige-GNet
by: Shi, Jie, et al.
Published: (2025)
by: Shi, Jie, et al.
Published: (2025)
Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting
by: Jafari, Alireza, et al.
Published: (2024)
by: Jafari, Alireza, et al.
Published: (2024)
Nowcast3D: Reliable precipitation nowcasting via gray-box learning
by: Chen, Huaguan, et al.
Published: (2025)
by: Chen, Huaguan, et al.
Published: (2025)
Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting
by: Li, Haotian, et al.
Published: (2024)
by: Li, Haotian, et al.
Published: (2024)
Stable Attention Response for Reliable Precipitation Nowcasting
by: Wen, Penghui, et al.
Published: (2026)
by: Wen, Penghui, et al.
Published: (2026)
Enhancing Heavy Rain Nowcasting with Multimodal Data: Integrating Radar and Satellite Observations
by: Kassoumeh, Rama, et al.
Published: (2025)
by: Kassoumeh, Rama, et al.
Published: (2025)
Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition
by: Li, Yufei, et al.
Published: (2025)
by: Li, Yufei, et al.
Published: (2025)
Timing the Match: A Deep Reinforcement Learning Approach for Ride-Hailing and Ride-Pooling Services
by: Bao, Yiman, et al.
Published: (2025)
by: Bao, Yiman, et al.
Published: (2025)
Riemannian Denoising Diffusion Probabilistic Models
by: Liu, Zichen, et al.
Published: (2025)
by: Liu, Zichen, et al.
Published: (2025)
STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting
by: Foo, Shi Quan, et al.
Published: (2025)
by: Foo, Shi Quan, et al.
Published: (2025)
Assessing the Utility of Volumetric Motion Fields for Radar-based Precipitation Nowcasting with Physics-informed Deep Learning
by: Pavlík, Peter, et al.
Published: (2026)
by: Pavlík, Peter, et al.
Published: (2026)
Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models
by: Tsao, Valerie, et al.
Published: (2025)
by: Tsao, Valerie, et al.
Published: (2025)
Rectifying Distribution Shift in Cascaded Precipitation Nowcasting
by: Ju, Fanbo, et al.
Published: (2025)
by: Ju, Fanbo, et al.
Published: (2025)
FusionCast: Enhancing Precipitation Nowcasting with Asymmetric Cross-Modal Fusion and Future Radar Priors
by: Wang, Henan, et al.
Published: (2026)
by: Wang, Henan, et al.
Published: (2026)
Deep EEG Super-Resolution: Upsampling EEG Spatial Resolution with Generative Adversarial Networks
by: Corley, Isaac, et al.
Published: (2025)
by: Corley, Isaac, et al.
Published: (2025)
A Progressive Visual-Logic-Aligned Framework for Ride-Hailing Adjudication
by: Wu, Weiming, et al.
Published: (2026)
by: Wu, Weiming, et al.
Published: (2026)
Hand Gesture Recognition from Doppler Radar Signals Using Echo State Networks
by: Sano, Towa, et al.
Published: (2026)
by: Sano, Towa, et al.
Published: (2026)
Hail to the Thief: Exploring Attacks and Defenses in Decentralised GRPO
by: Blagoev, Nikolay, et al.
Published: (2025)
by: Blagoev, Nikolay, et al.
Published: (2025)
Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics
by: Liu, Hongyu, et al.
Published: (2024)
by: Liu, Hongyu, et al.
Published: (2024)
Deep Neural Networks Tend To Extrapolate Predictably
by: Kang, Katie, et al.
Published: (2023)
by: Kang, Katie, et al.
Published: (2023)
LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids
by: Tao, Shilong, et al.
Published: (2025)
by: Tao, Shilong, et al.
Published: (2025)
Precipitation Nowcasting Using Diffusion Transformer with Causal Attention
by: Li, ChaoRong, et al.
Published: (2024)
by: Li, ChaoRong, et al.
Published: (2024)
Contractive Diffusion Probabilistic Models
by: Tang, Wenpin, et al.
Published: (2024)
by: Tang, Wenpin, et al.
Published: (2024)
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space
by: Liu, Qianmei, et al.
Published: (2024)
by: Liu, Qianmei, et al.
Published: (2024)
Echo: A Large Language Model with Temporal Episodic Memory
by: Liu, WenTao, et al.
Published: (2025)
by: Liu, WenTao, et al.
Published: (2025)
Conditional Diffusion Modeling with Attention for Probabilistic Battery Capacity Prediction under Real-World Condition
by: Jiang, Chunlin, et al.
Published: (2025)
by: Jiang, Chunlin, et al.
Published: (2025)
Long-term Fairness in Ride-Hailing Platform
by: Kang, Yufan, et al.
Published: (2024)
by: Kang, Yufan, et al.
Published: (2024)
Frailty-Aware Transformer for Recurrent Survival Modeling of Driver Retention in Ride-Hailing Platforms
by: Xu, Shuoyan, et al.
Published: (2025)
by: Xu, Shuoyan, et al.
Published: (2025)
LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion
by: Long, Yunbo, et al.
Published: (2025)
by: Long, Yunbo, et al.
Published: (2025)
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing
by: Yue, Xinlang, et al.
Published: (2024)
by: Yue, Xinlang, et al.
Published: (2024)
SynCast: Synergizing Contradictions in Precipitation Nowcasting via Diffusion Sequential Preference Optimization
by: Xu, Kaiyi, et al.
Published: (2025)
by: Xu, Kaiyi, et al.
Published: (2025)
Mitigating Barren Plateaus in Quantum Denoising Diffusion Probabilistic Model
by: Cao, Haipeng, et al.
Published: (2025)
by: Cao, Haipeng, et al.
Published: (2025)
Forward-only Diffusion Probabilistic Models
by: Luo, Ziwei, et al.
Published: (2025)
by: Luo, Ziwei, et al.
Published: (2025)
Similar Items
-
Enhancing few-shot time series forecasting with LLM-guided diffusion
by: Shi, Haonan, et al.
Published: (2026) -
Do Echo Top Heights Improve Deep Learning Nowcasts?
by: Pavlík, Peter, et al.
Published: (2025) -
REE-TTT: Highly Adaptive Radar Echo Extrapolation Based on Test-Time Training
by: Di, Xin, et al.
Published: (2026) -
IMPA-Net: Meteorology-Aware Multi-Scale Attention and Dynamic Loss for Extreme Convective Radar Nowcasting
by: Cui, Haofei, et al.
Published: (2026) -
A Diffusion-Contrastive Graph Neural Network with Virtual Nodes for Wind Nowcasting in Unobserved Regions
by: Shi, Jie, et al.
Published: (2026)