FAIR DO Fabric: Project Share April 21

19 Apr 2022

Dear all,
We would like to invite to our next meeting of “RDA FAIR Digital Object Fabric IG”.
Exception: This meeting will take place one week earlier, a the THIRD Thursday of April.
Project Share: 2022, April 21, UTC 15:00
Meeting room: https://kit-lecture.zoom.us/j/64010304690
Meeting ID: 640 1030 4690
Canonical Workflows in simulation-based climate sciences and the role of FDOs.
Ivonne Anders, Martin Bergemann, Andrej Fast, Karsten Peters-von Gehlen, Christopher Kadow, Etor E. Lucio-Eceiza, Hannes Thiemann
German Climate Computing Center - DKRZ, Hamburg, Germany
Some disciplines, especially those that look at the Earth system, work with large to very large amounts of data. Storing this data, but also processing it, places completely new demands on scientific work itself.
Let's take the example of climate research and specifically climate modelling. In addition to long-term meteorological measurements in the recent past, results from climate models form the main basis for research and statements on past and possible future global, regional and local climate. Climate models are very complex numerical models that require high-performance computing. However, with the current and future increasing spatial and temporal resolution of the models, the demand for computing resources and storage space is also increasing. Previous working methods and processes no longer hold up and need to be rethought.
Taking the German Climate Computing Centre (DKRZ) as an example, we analysed the users, their goals and working methods. DKRZ provides the climate science community with resources such as high-performance computing (HPC), data storage and specialised services and hosts the World Data Center for Climate (WDCC). In analysing users, we distinguish between two groups: those who need the HPC system to run resource-intensive simulations and then analyse them, and those who reuse, build on and analyse existing data. Each group subdivides into subgroups. We have analysed the workflows for each identified user and found identical parts in an abstracted form and derived Canonical Workflow Modules.
In the process, we critically examined the possible use of FAIR Digital Objects (FDOs) and checked to what extent the derived workflows and workflow modules are actually future-proof.
Collaborative notes:
We are looking forward to the presentation and the discussions.
Karlsruhe Institute of Technology (KIT)
Steinbuch Centre for Computing (SCC)
Dr. Rainer Stotzka
Data Exploitation Methods
Hermann-von-Helmholtz-Platz 1
76344 Eggenstein-Leopoldshafen
fon: +49 721 608 2 4738
E-mail: ***@***.***