This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial star…
☆273Jul 28, 2024Updated last year
Alternatives and similar repositories for Python-Practical-Application-on-Climate-Variability-Studies
Users that are interested in Python-Practical-Application-on-Climate-Variability-Studies are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python for Climate and Meteorological Data Analysis and Visualisation☆23Jan 31, 2019Updated 7 years ago
- Maximum Covariance Analysis in xarray for Climate Science☆70Dec 27, 2022Updated 3 years ago
- Maximum Covariance Analysis in Python☆58Jul 7, 2023Updated 3 years ago
- Climate Data Science and Earth Observation with Python.☆134Oct 10, 2020Updated 5 years ago
- A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…☆57Sep 1, 2017Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Precipitation-based indices are generally considered as the simplest indices because they are calculated solely based on long-term rainfa…☆39Jul 30, 2022Updated 3 years ago
- A collection of interactive lecture notes and assignments in Jupyter notebook format.☆179May 18, 2020Updated 6 years ago
- The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particul…☆70Jul 28, 2022Updated 3 years ago
- ☆21Nov 19, 2020Updated 5 years ago
- Helper functions for postprocessing and analysis of climate data. Also includes I/O routines, constants, and plotting helpers.