Exercise 3: Update a `gwrefpy`model with new data#

This notebook introduces how to create and fit a simple gwrefpy model.

This notebook can be downloaded from the source code here.

Warning

This exercise is not completed yet.

1. Import the gwrefpy package#

import gwrefpy as gr
import numpy as np
import pandas as pd

2. Create some sample data#

# Create some example data
n_days = 100
dates = pd.date_range("2020-01-01", periods=n_days, freq="D")

# Observed and reference values with some noise
values_obs1 = ( 25.75 + 0.7 * np.sin(np.linspace(0, 4 * np.pi, n_days)) + np.random.normal(0, 0.1, n_days))
values_obs1 = pd.Series(values_obs1, index=dates)
values_ref1 = (18.75 + 0.3 * np.sin(np.linspace(0, 4 * np.pi, n_days)) + np.random.normal(0, 0.05, n_days))
values_ref1 = pd.Series(values_ref1, index=dates)

3. Create a Well objects#

# Create your well objects here

4. Create a Model object#

# Create your model object here

5. Fit the model#

# Perform the model fitting here

6. Plot the results#

# Plot the results here