EGU25-18651, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-18651
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Monday, 28 Apr, 16:15–18:00 (CEST), Display time Monday, 28 Apr, 14:00–18:00
 
Hall X4, X4.94
Streamlining Climate Model Data Access: Integrating ENES-RI into the IRISCC Framework for Climate Change Risks Research
Irfan Khan1 and Dr. Stephan Kindermann2
Irfan Khan and Dr. Stephan Kindermann
  • 1DKRZ, Data Management, Germany (khan@dkrz.de)
  • 2DKRZ, Data Management, Germany (kindermann@dkrz.de)

The European Network for Earth System Modelling Research Infrastructure (ENES-RI) is a
cornerstone of climate science, providing essential datasets for understanding and
addressing climate change. However, the growing complexity and volume of climate model
datasets pose challenges that demand innovative, interdisciplinary solutions. To address
these challenges, "ENES-RI" is being integrated into the Framework of Integrated Research
Infrastructure Services for Climate Change Risks (IRISCC), establishing a unified ecosystem
of Research Infrastructures for data access, processing, and analysis.

This integration introduces three key advancements:
1. Harmonized data access and authentication: Federated systems ensure secure,
standardized global access while maintaining data integrity and compliance with
management policies.
2. Data-proximate processing services: On-site data analysis minimizes large-scale
transfers, improving efficiency, and supporting high-performance workflows.
3. An integrated services platform leveraging JupyterHub: This platform combines
streamlined data access, computational tools, and visualization capabilities enabling
collaborative and interdisciplinary research across diverse domains.

A central objective is to incorporate ENES-RI into the IRISCC services catalog, enabling
seamless discovery and utilization of distributed climate research resources. This effort
fosters collaboration, streamlines workflows, and addresses challenges in managing large-
scale climate data. Practical use cases illustrate how this framework empowers researchers
to conduct advanced climate risk assessments and contribute to global mitigation efforts.
This integration represents a pivotal advance toward a more efficient, collaborative, and
impactful research ecosystem for addressing climate change.

How to cite: Khan, I. and Kindermann, Dr. S.: Streamlining Climate Model Data Access: Integrating ENES-RI into the IRISCC Framework for Climate Change Risks Research, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-18651, https://doi.org/10.5194/egusphere-egu25-18651, 2025.