The online training shows how to exploit ECAS to load, filter, concatenate, perform spatial and time averages, plot CMIP ("Coupled Model Intercomparison Project") data for multi-model comparisons or use it to calculate climate indices for any location and period in time.

Key topics:

  • Challenges and technical issues in scientific data management and analytics
  • Multidimensional (big) data analysis
  • Basic open source tools for data science in the field of climate sciences (e.g., Ophidia, Xarray, Intake, Jupyter Notebook, ...)

Agenda:

  • March, 8th: General introduction (3:00 pm - 5:00 pm)
  • March, 9th: DKRZ demos and hands-on session (10:00 am - 12:30 am) / CMCC demos and hands-on session (3:00 pm - 5:30 pm)

 

Registration is opened now. Please register until March, 5th, 2021. Attendance is limited to 150 participants per day.

Official webpage of the event: Online Training on Data Analytics: How to skip high-volume data transfer and access free computing resources for your CMIP analyses — IS-ENES 3

Contact:

About ECAS: DKRZ coordinates this new compute-to-data service within the IS-ENES3 project and it is one of its four providers in Europe - together with CMCC (Italy), IPSL (France), and UKRI/CEDA (UK). This service is especially directed to researchers without direct access to a high performance computing or data center and to the ESGF. Besides, it is a European service, mainly addressed to the European earth systems community. However, also non-European communities are welcome as long as resources are available.

ECAS service website: Climate Analytics Service - vERC (enes.org)

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