In-situ data extraction for pathway analysis in an idealized atmosphere configuration of E3SM

TL;DR

This paper introduces CLDERA-Tools, a lightweight software library for in-situ data extraction in climate models, enabling efficient pathway analysis through DAGs in an idealized atmospheric E3SM simulation.

Contribution

The paper presents a minimally invasive method for in-situ data extraction in climate models using CLDERA-Tools, facilitating source-impact pathway analysis with DAGs.

Findings

Efficient in-situ data extraction reduces computational overhead.

Successful construction of spatially resolved DAGs from idealized atmospheric data.

Demonstrated applicability in modeling volcanic eruption impacts.

Abstract

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.