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Site Navigation

  • User Guide
  • Concepts
  • Examples
  • Development
  • API Docs
  • Release Notes
  • Publications
  • References

Section Navigation

Click on one of the examples below:

  • Preprocessing user-provided time series
  • A Basic Model
  • Time Series Analysis with Pastas
  • Model Diagnostic Checking
  • Adding river levels
  • Adding groundwater pumping
  • Adding Trends
  • Non-linear recharge models
  • Threshold Non-linearities
  • Calibrating Pastas models
  • Adding Multiple Wells
  • Standardized Groundwater Index (SGI)
  • Testing MCMC on Pastas Models
  • Reducing Autocorrelation
  • Estimating recharge
  • Uncertainty quantification
  • Changing response functions
  • Snow model
  • Groundwater signatures
  • Comparing models visually

Example Gallery#

Below you can find examples of how Pastas models are used for the analysis of groundwater levels. Examples in the form of Python scripts can also be found on the examples directory on GitHub.

Tip

The latest versions of the Jupyter Notebooks can be found in the examples folder on GitHub!

Click on one of the examples below:

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Preprocessing user-provided time series

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A Basic Model

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Time Series Analysis with Pastas

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Model Diagnostic Checking

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Adding river levels

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Adding groundwater pumping

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Adding Trends

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Non-linear recharge models

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Threshold Non-linearities

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Calibrating Pastas models

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Adding Multiple Wells

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Standardized Groundwater Index (SGI)

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Testing MCMC on Pastas Models

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Reducing Autocorrelation

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Estimating recharge

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Uncertainty quantification

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Changing response functions

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Snow model

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Groundwater signatures

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Comparing models visually

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9. Response functions

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Preprocessing user-provided time series

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