Examples Overview

This section contains working examples demonstrating how to use SeapoPym.

Available Examples

1D Model Example

A complete tutorial showing:

• Data generation: Creating synthetic forcing data (temperature, primary production)
• Model configuration: Setting up functional groups with proper parameters
• Sequential execution: Running the model with context manager
• Parallel execution: Using Dask for distributed computing
• Time resolution: Degrading to weekly timesteps
• Visualization: Plotting biomass evolution over time

View the 1D Model Example →

Optimization Example

A comprehensive guide to the optimization module, demonstrating:

• Synthetic Truth: Generating a "ground truth" simulation with known parameters
• Observation Generation: Creating synthetic observations with added noise
• Cost Function: Defining a cost function to compare model output with observations
• Genetic Algorithm: Using the optimization framework to recover the original parameters
• Calibration: Visualizing the convergence and fit of the optimized parameters

View the Optimization Example →