Online training on Data Analytics

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: Y29tcHV0ZS10cmFpbmluZy1vcmdhbml6ZXJzQGxpc3RzLmVuZXMub3Jn

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)