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Groundwater modeling challenge results for wells in Germany, Netherlands, Sweden (one of the two), USA.

Groundwater modeling challenge results for wells in Germany, Netherlands, Sweden (one of the two), USA.
@martinvonk
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martinvonk commented May 2, 2025

Awesome!

I can run Netherlands.ipynb, USA.ipynb and SWEDEN_2.ipynb without problems.

And there is also GERMANY_old.ipynb, can that one be deleted?

GERMANY.ipynb gives an error for me in the code cell after markdown cell with "The resulting fit is not satisfactory yet, the parameters are therefore visualized to identify possible changes that may increase the fit.". The error I get is ValueError: Initial guess is outside of provided bounds. which is probably related to the initial=False statement in the second ml.solve() call.

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Just as a heads up. Since the dataset is officially published; you can now load the data from the groundwater modelling challenge with ps.load_dataset("collenteur_2024"). Would be nice if the data is loaded this way as well in these notebooks.

@martinvonk martinvonk requested a review from Copilot August 7, 2025 12:10
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Pull Request Overview

This PR adds groundwater monitoring data for wells in Sweden as part of a groundwater modeling challenge. The data consists of hydraulic head measurements at weekly intervals spanning multiple countries including Germany, Netherlands, Sweden, and USA.

  • Adds two CSV files containing groundwater head measurements for Swedish wells
  • Provides both a subset (heads.csv) and complete dataset (heads_full.csv) spanning 2001-2020
  • Data includes time series measurements with dates and corresponding hydraulic head values in meters

Reviewed Changes

Copilot reviewed 2 out of 18 changed files in this pull request and generated no comments.

File Description
Groundwater_modeling_challenge/SWEDEN_2/data/heads_full.csv Complete time series dataset with 1,045 weekly measurements from 2001-2020
Groundwater_modeling_challenge/SWEDEN_2/data/heads.csv Subset dataset with 784 measurements covering 2001-2015 period

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3 participants