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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
Last synced: 2 months ago
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Climate Data Science and Earth Observation with Python.
- Host: GitHub
- URL: https://github.com/willyhagi/climate-data-science
- Owner: willyhagi
- License: mit
- Archived: true
- Created: 2018-01-03T15:23:27.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-10-10T19:31:32.000Z (over 3 years ago)
- Last Synced: 2024-01-30T21:56:49.513Z (5 months ago)
- Topics: climatology, earth-observation, google-earth-engine, meteorology, pangeo, time-series-analysis, xarray
- Language: Jupyter Notebook
- Homepage:
- Size: 28.3 MB
- Stars: 126
- Watchers: 1
- Forks: 44
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- awesome-earthobservation-code - Climate data science - Climate Data Science and Earth Observation with `Python` (Climate and weather based resources / Testing your code)
README
[![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)