Distributed Hydrological Modeling in the Feature Space

arXiv:2609.32971 · cs.CV, cs.LG · Submitted 2026-09-26 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-26

Updated: 2026-09-26

Code: https://github.com/HakamShams/RiverMamba_code

Terminology

• Ablation — 16× in this paper · explained in 1 episode
• Fine-Tuning — 15× in this paper · explained in 5 episodes
• Ablation Studies — 13× in this paper · explained in 1 episode
• Local Drain Direction — 9× in this paper
• F1 Score — 8× in this paper · explained in 3 episodes
• Aggregation — 7× in this paper · explained in 1 episode
• Embeddings — 7× in this paper · explained in 2 episodes
• Continuous Ranked Probability Score — 6× in this paper
• Calibration — 5× in this paper · explained in 7 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Joint Research Centre — 5× in this paper
• State Space Model — 5× in this paper
• Transformer — 4× in this paper · explained in 2 episodes
• Copernicus Emergency Management Service — 3× in this paper
• Generalization — 3× in this paper · explained in 13 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Climate Prediction Center — 2× in this paper
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Distribution Shift — 2× in this paper · explained in 6 episodes
• ECMWF Integrated Forecast System — 2× in this paper
• European Flood Awareness System — 2× in this paper
• GNNs — 2× in this paper · explained in 2 episodes
• Multi-satellite Retrievals for the Global Precipitation Measurement — 2× in this paper
• National Oceanic and Atmospheric Administration — 2× in this paper
• Objective Function — 2× in this paper · explained in 2 episodes
• Root Mean Square Error — 2× in this paper
• STRUCTURED STATE SPACE DUALITY — 2× in this paper
• Abstraction — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Causal Discovery — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• ECMWF Early Warning Data Store — 1× in this paper
• EMMA — 1× in this paper · explained in 2 episodes
• Epistemic Uncertainty — 1× in this paper · explained in 10 episodes
• European Centre for Medium-Range Weather Forecasts — 1× in this paper
• European Meteorological Observations — 1× in this paper
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Global Runoff Data Centre — 1× in this paper
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• Skillful joint probabilistic weather forecasting from marginals
• AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
• Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models
• Graph Attention Networks
• Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
• HydroDiffusion: Diffusion-Based Probabilistic Streamflow Forecasting with a State Space Backbone

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models