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@zflamig zflamig commented Dec 17, 2025

Add detailed technical documentation for EF5's hydrological models:

  • docs/ROUTING_MODELS.md: Documents Linear Reservoir and Kinematic Wave
    routing models including algorithms, parameters, and equations

  • docs/WATER_BALANCE_MODELS.md: Documents SAC-SMA, CREST, HyMOD, and
    Hydrophobic water balance models with conceptual diagrams, parameter
    tables, and implementation details

Both documents include:

  • Conceptual structure diagrams
  • Complete parameter reference tables
  • Algorithm descriptions with pseudocode
  • Key equations and their derivations
  • Comparison tables between model variants
  • Configuration examples
  • References to source literature

…odels

Add detailed technical documentation for EF5's hydrological models:

- docs/ROUTING_MODELS.md: Documents Linear Reservoir and Kinematic Wave
  routing models including algorithms, parameters, and equations

- docs/WATER_BALANCE_MODELS.md: Documents SAC-SMA, CREST, HyMOD, and
  Hydrophobic water balance models with conceptual diagrams, parameter
  tables, and implementation details

Both documents include:
- Conceptual structure diagrams
- Complete parameter reference tables
- Algorithm descriptions with pseudocode
- Key equations and their derivations
- Comparison tables between model variants
- Configuration examples
- References to source literature
Add comprehensive proposal document for parallelizing EF5's water balance
and routing models for GPU execution:

Key contents:
- Analysis of current algorithm data dependencies
- Wavefront parallelism strategy for kinematic wave routing
- Topological level assignment algorithm
- Structure of Arrays (SoA) data layout for GPU efficiency
- CUDA kernel implementation examples
- Optimization strategies (level coalescing, atomic handling)
- Alternative algorithms (tree contraction, domain decomposition)
- Implementation roadmap with time estimates
- Performance projections (10-30x speedup expected)

The proposal identifies that water balance is embarrassingly parallel
while routing requires wavefront/level-based parallelism due to
upstream-to-downstream dependencies in the flow network.
Add comprehensive analysis comparing implicit and explicit kinematic wave
solvers and their GPU implementation strategies:

Key contents:
- Analysis of current semi-implicit scheme (local implicit, global explicit)
- Fully implicit formulation with sparse Jacobian matrix structure
- GPU implementation options:
  - cuSPARSE triangular solve (exploits tree structure)
  - Algebraic Multigrid (AmgX) for better parallelism
  - Iterative Jacobi/Gauss-Seidel approaches
- Trade-off analysis: stability, timestep, accuracy, computational cost
- Hybrid approach: semi-implicit hillslopes + implicit channels
- Diffusive wave extension for backwater effects
- Performance projections and library recommendations
- Implementation roadmap with three phases

Conclusion: Semi-implicit (current approach) is better for flash flood
forecasting; fully implicit advantageous only when timesteps can be
4-6x larger (daily routing, stiff systems).
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3 participants