Hydrological Models

SYMFLUENCE supports a wide range of hydrological models, from process-based physical models to data-driven machine learning approaches.

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Process-based Models

Physically-based models with detailed process representation.

SUMMA · MESH · HYPE · RHESSys

Process-based Models

Conceptual Models

Bucket and storage-based hydrological models.

FUSE · cFUSE · jFUSE · GR · HBV

Conceptual Models

Machine Learning

Data-driven approaches using neural networks.

LSTM · GNN

Machine Learning Models

Frameworks & Specialized

Modular frameworks and domain-specific models.

NextGen · WMFire

Frameworks & Specialized

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Process-based Models

Models with explicit representation of physical processes.

• SUMMA Model Guide
• MESH Model Guide
• HYPE Model Guide
• RHESSys Model Guide

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Conceptual Models

Simplified representations using storage-based approaches.

• FUSE Model Guide
• GR Model Guide
• HBV Model Guide

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Machine Learning Models

Data-driven approaches for streamflow prediction.

• LSTM Model Guide
• GNN Model Guide

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Frameworks & Specialized

Modular frameworks and specialized applications.

• NGEN Model Guide