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!

.. toctree::
   :maxdepth: 1

   getting-started

Core Methods
------------

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

.. toctree::
   :maxdepth: 1

   bcsd-temperature-precipitation
   analog-methods

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:

* Check out the :doc:`../how-to/index` guides for specific tasks
* Read the :doc:`../background/index` for deeper conceptual understanding
* Explore the :doc:`../api` for detailed API documentation