Tutorials

These tutorials will guide you through using scikit-downscale step-by-step. They are designed for learning and assume little prior knowledge of downscaling methods.

Getting Started

New to scikit-downscale? Start here!

Core Methods

Learn about the main downscaling methods available in scikit-downscale.

What You’ll Learn

Through these tutorials, you will:

  • Understand the fundamentals of statistical downscaling

  • Load and prepare climate data for downscaling

  • Apply various downscaling methods (BCSD, Analog, Quantile Mapping)

  • Evaluate and compare downscaling results

  • Work with both temperature and precipitation data

Prerequisites

All tutorials assume:

  • Basic Python programming knowledge

  • Familiarity with pandas or numpy

  • scikit-downscale installed (pip install scikit-downscale)

Some tutorials may also use:

  • xarray for working with labeled multi-dimensional arrays

  • matplotlib for visualization

Next Steps

After completing these tutorials: