SESep 30, 2020

ESiWACE2 Services: RSE collaborations in Weather and Climate

arXiv:2009.14643v1
AI Analysis

This addresses the problem of optimizing computational applications for climate scientists, but it is incremental as it builds on existing collaborative frameworks without introducing new methods.

The paper tackles the challenge of improving performance, portability, and scalability in weather and climate modeling applications by establishing a collaborative model where Research Software Engineers provide expertise to modeling groups across Europe, resulting in four awarded projects as examples of this funding structure.

We present the collaborative model of ESiWACE2 Services, where Research Software Engineers (RSEs) from the Netherlands eScience Center (NLeSC) and Atos offer their expertise to climate and earth system modeling groups across Europe. Within 6-month collaborative projects, the RSEs intend to provide guidance and advice regarding the performance, portability to new architectures, and scalability of selected applications. We present the four awarded projects as examples of this funding structure.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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