We propose an approach for characterizing source-impact pathways, the interactions of a set of variables in space-time due to an external forcing, in climate models using in-situ analyses that circumvent computationally expensive read/write operations. This approach makes use of a lightweight open-source software library we developed known as CLDERA-Tools. We describe how CLDERA-Tools is linked with the U.S. Department of Energy's Energy Exascale Earth System Model (E3SM) in a minimally invasive way for in-situ extraction of quantities of interested and associated statistics. Subsequently, these quantities are used to represent source-impact pathways with time-dependent directed acyclic graphs (DAGs). The utility of CLDERA-Tools is demonstrated by using the data it extracts in-situ to compute a spatially resolved DAG from an idealized configuration of the atmosphere with a parameterized representation of a volcanic eruption known as HSW-V.
@article{arxiv.2408.04099,
title = {In-situ data extraction for pathway analysis in an idealized atmosphere configuration of E3SM},
author = {Andrew Steyer and Luca Bertagna and Graham Harper and Jerry Watkins and Irina Tezaur and Diana Bull},
journal= {arXiv preprint arXiv:2408.04099},
year = {2024}
}