ECASLab @ DKRZ

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Welcome to ECASLab!

The ENES Climate Analytics Service (ECAS) will enable scientific end-users to perform data analysis experiments on large volumes of climate data, by exploiting a PID-enabled, server-side, and parallel approach.

It aims at providing a paradigm shift for the ENES community with a strong focus on data intensive analysis, provenance management, and server-side approaches as opposed to the current ones mostly client-based, sequential and with limited/missing end-to-end analytics workflow/provenance capabilities.


To login into Jupyter, enter the username and password provided to you after registration at DKRZ. If you would like an account or need assistance, please email ecas-support.

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