This is a website for an H2020 project which concluded in 2019 and established the core elements of EOSC. The project's results now live further in and

Online Training on Data Analytics: How to skip high-volume data transfer and access free computing resources for your CMIP analyses

Monday, March 8, 2021 - 15:00 to Tuesday, March 9, 2021 - 17:30

The infrastructure for the European Network of Earth System modelling (ENES) has a new service for you! Thanks to the ENES Climate Analytics Service (ECAS), which is also one of the thematic services included in the EOSC-hub service portfolio, you can load just the data you need and straightforwardly process them. With this free of charge service, you can request computing time through the IS-ENES infrastructure project, which hosts and maintains more than 6 Petabytes of CMIP data as the European part of the Earth System Grid Federation (ESGF).

Join our online training on March 8-9 and learn how to run your Jupyter notebooks at the German Climate Computing Center (DKRZ) and the Euro-Mediterranean Center on Climate Change Foundation (CMCC), two of the IS-ENES compute service providers and ESGF data centers. 

Learning goal: 

We will show how to load, filter, concatenate, perform spatial and time averages, plot CMIP data for multi-model comparisons and use CMIP models to calculate some climate indices for any location and period. The trainings include examples on how to apply the following packages for Big Data manipulation and visualization: 

  1. Climate Data Operators (CDO), 

  2. Intake to easily extract the data from the huge catalog, 

  3. OphidiaXarray, to easily read NetDCF files and scale for parallel computing, 

  4. Matplotlib and Cartopy to visualise data analysis results.

Basic knowledge of Python, Linux, Git recommended, including general aspects about climate/weather data.