Pre-conference workshop

Open Workshop on “Spatio-temporal trend analysis of spatial climate data (temperature and rainfall) using Python”

 

 

By PhD Alexander Kmoch, PhD Evelyn Uuemaa, Holger Virro and Bruno Montibeller

 

Number of participants: 25

Fee: free

Location: Department of Geography, Vanemuise 46 – 202

Time and date: 26^th June 11.00-15.00 (including a small lunch break of ca 30 minutes)

Pre-requisites: Some prior knowledge in Python is advised, but nor required. You may bring your own laptop but the workshop takes place in the computer lab which also has computers.

There are wide range of global or regional level climate data available in a gridded format. Under the changing climate, we need to quantify the variability of temperature and rainfall patterns to understand the impact of climate change on ecosystems. In this workshop, we teach the participants how to handle NetCDF datasets, apply the Mann-Kendall (MK) test and calculate Sen’s slope (SS) values on a gridded climate dataset.

We will be using Python packages from the Pangeo community, including Jupyter notebooks and the Xarray toolkit for working with labeled multi-dimensional arrays of data. In addition, we will demonstrate a few basic steps how to improve reproducibility and pro-actively apply FAIR principles when sharing and archiving data and code online for publishing via GitHub and Zenodo.