Diffusion-Based Probabilistic Modeling for Hourly Streamflow Prediction and Assimilation
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Wencong, Ji, Haoyu, Lonzarich, Leo, Song, Yalan, Shen, Chaopeng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HydroDiffusion: Diffusion-Based Probabilistic Streamflow Forecasting with a State Space Backbone
by: Wang, Yihan, et al.
Published: (2025)
by: Wang, Yihan, et al.
Published: (2025)
Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning
by: Ji, Haoyu, et al.
Published: (2025)
by: Ji, Haoyu, et al.
Published: (2025)
DRUM: Diffusion-based runoff model for probabilistic flood forecasting
by: Ou, Zhigang, et al.
Published: (2024)
by: Ou, Zhigang, et al.
Published: (2024)
Conditional Denoising Diffusion Probabilistic Model for Ground-roll Attenuation
by: Li, Yuanyuan, et al.
Published: (2024)
by: Li, Yuanyuan, et al.
Published: (2024)
Exploring Ultra Rapid Data Assimilation Based on Ensemble Transform Kalman Filter with the Lorenz 96 Model
by: Kawasaki, Fumitoshi, et al.
Published: (2025)
by: Kawasaki, Fumitoshi, et al.
Published: (2025)
Towards End-to-End Earthquake Monitoring Using a Multitask Deep Learning Model
by: Zhu, Weiqiang, et al.
Published: (2025)
by: Zhu, Weiqiang, et al.
Published: (2025)
Accurate Interpolation of Ambient Noise Empirical Green's Functions by Denoising Diffusion Probabilistic Model and Implicit Neural Representation
by: Chen, Guoyi, et al.
Published: (2026)
by: Chen, Guoyi, et al.
Published: (2026)
Waveform-Based Probabilistic Seismic Hazard Analysis Using Ground-Motion Generative Models
by: Matsumoto, Yuma, et al.
Published: (2025)
by: Matsumoto, Yuma, et al.
Published: (2025)
Ocean-E2E: Hybrid Physics-Based and Data-Driven Global Forecasting of Extreme Marine Heatwaves with End-to-End Neural Assimilation
by: Shu, Ruiqi, et al.
Published: (2025)
by: Shu, Ruiqi, et al.
Published: (2025)
Towards Operational Streamflow Forecasting in the Limpopo River Basin using Long Short-Term Memory Networks
by: Tlhomole, James, et al.
Published: (2026)
by: Tlhomole, James, et al.
Published: (2026)
Probabilistic and Alarm-Based Evaluation of a b-Value-Driven Deep Learning Earthquake Forecast
by: Köhler, Jonas, et al.
Published: (2026)
by: Köhler, Jonas, et al.
Published: (2026)
Simulation and Data Assimilation in an Idealized Coupled Atmosphere-Ocean-Sea Ice Floe Model with Cloud Effects
by: Mou, Changhong, et al.
Published: (2024)
by: Mou, Changhong, et al.
Published: (2024)
Intelligent Prediction and Optimization of Open-Hole Wellbore Multiphysics Stability: A Synergistic PINN-DRL Approach
by: Song, Yu, et al.
Published: (2025)
by: Song, Yu, et al.
Published: (2025)
Diffusion-Inversion-Net (DIN): An End-to-End Direct Probabilistic Framework for Characterizing Hydraulic Conductivities and Quantifying Uncertainty
by: Zhang, Xun, et al.
Published: (2025)
by: Zhang, Xun, et al.
Published: (2025)
Diffusion Models Bridge Deep Learning and Physics in ENSO Forecasting
by: Xu, Weifeng, et al.
Published: (2025)
by: Xu, Weifeng, et al.
Published: (2025)
Model Training, Data Assimilation, and Forecast Experiments with a Hybrid Atmospheric Model that Incorporates Machine Learning
by: Elliott, Dylan, et al.
Published: (2025)
by: Elliott, Dylan, et al.
Published: (2025)
Wavelet Packet-Based Diffusion Model for Ground Motion Generation with Multi-Conditional Energy and Spectral Matching
by: Ding, Yi, et al.
Published: (2026)
by: Ding, Yi, et al.
Published: (2026)
Unifying the Gutenberg-Richter Law with Probabilistic Catalog Completeness
by: Li, Jiawei, et al.
Published: (2025)
by: Li, Jiawei, et al.
Published: (2025)
SPIDER: Scalable Probabilistic Inference for Differential Earthquake Relocation
by: Ross, Zachary E., et al.
Published: (2025)
by: Ross, Zachary E., et al.
Published: (2025)
Graph Network Surrogate Model for Subsurface Flow Optimization
by: Tang, Haoyu, et al.
Published: (2023)
by: Tang, Haoyu, et al.
Published: (2023)
DiffusionVel: Multi-Information Integrated Velocity Inversion Using Generative Diffusion Models
by: Zhang, Hao, et al.
Published: (2024)
by: Zhang, Hao, et al.
Published: (2024)
Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning
by: Pan, Xiyu, et al.
Published: (2024)
by: Pan, Xiyu, et al.
Published: (2024)
Unsupervised Seismic Data Denoising via SIREN‐Guided Diffusion Mode
by: Ji Li, et al.
Published: (2026)
by: Ji Li, et al.
Published: (2026)
Velocity Model Building and Editing with Guided Denoising Diffusion Implicit Models
by: Brandolin, Francesco, et al.
Published: (2026)
by: Brandolin, Francesco, et al.
Published: (2026)
Diffusion Model-Based Posterior Sampling in Full Waveform Inversion
by: Taufik, Mohammad H., et al.
Published: (2025)
by: Taufik, Mohammad H., et al.
Published: (2025)
A Framework for Automatic Validation and Application of Lossy Data Compression in Ensemble Data Assimilation
by: Keller, Kai, et al.
Published: (2024)
by: Keller, Kai, et al.
Published: (2024)
Self-Supervised Diffusion Model for 3-D Seismic Data Reconstruction
by: Wang, Xinyang, et al.
Published: (2024)
by: Wang, Xinyang, et al.
Published: (2024)
Developing a Foundation Model for Predicting Material Failure
by: Marcato, Agnese, et al.
Published: (2024)
by: Marcato, Agnese, et al.
Published: (2024)
A Sampling Strategy Benchmark for Machine-Learning-Based Seismic Liquefaction Prediction
by: Hu, Jilei, et al.
Published: (2025)
by: Hu, Jilei, et al.
Published: (2025)
Toward Trustworthy Earthquake Catalogs in the Era of Automated Detection: A Probabilistic Framework for Robust Earthquake Location
by: Yu, Ziye, et al.
Published: (2025)
by: Yu, Ziye, et al.
Published: (2025)
Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model
by: Wei, Xiaoli, et al.
Published: (2025)
by: Wei, Xiaoli, et al.
Published: (2025)
Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storage
by: Teng, Wenchao, et al.
Published: (2024)
by: Teng, Wenchao, et al.
Published: (2024)
SeisDiff-deno: A Diffusion-Based Denoising Framework for Tube Wave Attenuation in VSP Data
by: Zhu, Donglin, et al.
Published: (2025)
by: Zhu, Donglin, et al.
Published: (2025)
Seismic Event Classification With a Lightweight Fourier Neural Operator Model
by: Ayrat Abdullin, et al.
Published: (2026)
by: Ayrat Abdullin, et al.
Published: (2026)
Acoustic Impedance Prediction Using an Attention-Based Dual-Branch Double-Inversion Network
by: Feng, Wen, et al.
Published: (2024)
by: Feng, Wen, et al.
Published: (2024)
Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction
by: Ling, Fenghua, et al.
Published: (2024)
by: Ling, Fenghua, et al.
Published: (2024)
Generative Diffusion Model for Seismic Imaging Improvement of Sparsely Acquired Data and Uncertainty Quantification
by: Shi, Xingchen, et al.
Published: (2024)
by: Shi, Xingchen, et al.
Published: (2024)
UnwrapDiff: A Conditional Diffusion Model for InSAR Phase Unwrapping
by: Song, Yijia, et al.
Published: (2025)
by: Song, Yijia, et al.
Published: (2025)
WaveDiffusion: Joint Latent Diffusion for Physically Consistent Seismic and Velocity Generation
by: Feng, Yinan, et al.
Published: (2024)
by: Feng, Yinan, et al.
Published: (2024)
DiffusionInv: Prior-enhanced Bayesian Full Waveform Inversion using Diffusion models
by: Li, Yuanyuan, et al.
Published: (2025)
by: Li, Yuanyuan, et al.
Published: (2025)
Similar Items
-
HydroDiffusion: Diffusion-Based Probabilistic Streamflow Forecasting with a State Space Backbone
by: Wang, Yihan, et al.
Published: (2025) -
Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning
by: Ji, Haoyu, et al.
Published: (2025) -
DRUM: Diffusion-based runoff model for probabilistic flood forecasting
by: Ou, Zhigang, et al.
Published: (2024) -
Conditional Denoising Diffusion Probabilistic Model for Ground-roll Attenuation
by: Li, Yuanyuan, et al.
Published: (2024) -
Exploring Ultra Rapid Data Assimilation Based on Ensemble Transform Kalman Filter with the Lorenz 96 Model
by: Kawasaki, Fumitoshi, et al.
Published: (2025)