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https://github.com/willyhagi/climate-data-science

Climate Data Science and Earth Observation with Python.
https://github.com/willyhagi/climate-data-science

climatology earth-observation google-earth-engine meteorology pangeo time-series-analysis xarray

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Climate Data Science and Earth Observation with Python.

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[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/willyhagi/climate-data-science)

# Climate Data Science

**Welcome!** This repository is a collection of tutorials, with Jupyter Notebooks and Python code, aimed at data analysis and visualization techniques for Climate Science and Earth Observation studies. All the content is produced by me, [Willy Hagi](https://linktr.ee/willyhagi), and the tutorials are planned to be constantly submitted to publication in [Towards Data Science](https://towardsdatascience.com/), known as one of the biggest data science portals of the web.

For the time, it is possible to run with Google Colab only those Jupyter Notebooks with **Google Earth Engine** code. I hope that some serious Cartopy issues with Colab will be solved soon to allow interaction with the others as well.

# Table of Contents

## Climate Variability and Change
* [A Quick Introduction to CMIP6](https://towardsdatascience.com/a-quick-introduction-to-cmip6-e017127a49d3)
* [Climate is What You Expect](https://towardsdatascience.com/climate-is-what-you-expect-20c57da1ac24)

## Remote Sensing and Google Earth Engine
* [A Quick Introduction to Google Earth Engine](https://towardsdatascience.com/a-quick-introduction-to-google-earth-engine-c6a608c5febe)
* [MODIS Vegetation Indices: a GEE Approach](https://towardsdatascience.com/modis-vegetation-indices-a-gee-approach-f48e1259e462)