You are here: Home » Events » Trainings and Education » Online Training on Data Analytics: How to skip high-volume data transfer and access free computing resources for your CMIP analyses

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

Mar 08, 2021 03:00 PM to Mar 09, 2021 05:30 PM (Europe/Vienna / UTC100)
Add event to calendar


Tired of downloading tons of climate model data?

Are you about to overload your computer’s memory with the constant increase of data volume and you need more computing resources? 

Our new Climate Analytics Service is for you!



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. 

We will show how to load, filter, concatenate, perform spatial and time averages, plot CMIP data for multi-model comparisons and use CMIP model results 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. Ophidia, Xarray, to easily read NetDCF files and scale for parallel computing,

  4. ESMValtool, to reproduce or re-use existing climate analytics,

  5. Matplotlib and Cartopy to visualise data analysis results.


Find more information on the ENES Climate Analytics Service here and register to the webinar here before March 5th. 

The number of spots is limited for the hands-on sessions, so early bird registration is recommended.

The course is organized around the following sessions:

  • March 8

General introduction (3:00 pm - 5:00 pm) 

  • March 9

DKRZ demos and hands-on session (10:00 am - 12:30 am) 

CMCC demos and hands-on session (3:00 pm - 5:30 pm)


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

This training is co-organized jointly by the H2020 IS-ENES3 and EOSC-hub projects.

© Copyright ENES Portal 2011



IS-ENES3 has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824084