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Groundwater Modeling Decision Support
Introductions to Selected Topics
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    • GMDSI Tutorial Notebooks
    • Selected Topics
    • Theory, Concepts and PEST Mechanics
    • Decision Support Modelling
    In-For-Disaster-Analytics/GMDSI_notebooks
    • GMDSI Tutorial Notebooks
    • Selected Topics
      • Intro to Regression
      • Intro to pyEMU
      • Intro to Geostatistics
      • Intro to Bayes
      • Intro to SVD
    • Theory, Concepts and PEST Mechanics
      • Manual Trial-and-Error
      • PEST Basics
      • Automated Calibration with PEST
      • Calibration with Two Parameters
      • Multiple Observation Types
      • GLM and the Objective Function Response Surface
      • Spatial Parameterisation with Pilot Points - setup
      • Spatial Parameterisation with Pilot Points - run
      • Regularization
      • Intro to FOSM
      • Local Sensitivity and Identifiability
      • Global Sensitivity Analysis
      • Monte Carlo
    • Decision Support Modelling
      • Constructing a High-Dimensional PEST Interface with pyEMU
      • Observation Values, Weights and Noise
      • Prior Monte Carlo
      • PEST++GLM - Calculating a Jacobian Matrix
      • FOSM and Data Worth
      • PEST++GLM - Highly- Parameterized Regularized Inversion
      • PEST++IES - Basics
      • PEST++IES - Localization
      • PEST++DA - Getting Ready
      • PEST++DA - Sequential Data Assimilation

    Introductions to Selected Topics

    • Intro to Regression
    • Intro to pyEMU
    • Intro to Geostatistics
    • Intro to Bayes
    • Intro to SVD
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    In-For-Disaster-Analytics/GMDSI_notebooks