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

Andrew Steyer, Luca Bertagna, Graham Harper, Jerry Watkins, Irina Tezaur, Diana Bull

TL;DR

This paper addresses how to quantify localized climate disturbances by representing their interactions as time-dependent DAGs derived from in-situ analyses. It introduces CLDERA-Tools, a lightweight library that links to E3SM to extract high-frequency quantities of interest and compute pathway graphs under volcanic forcing. Using an idealized HSW-V configuration, the authors demonstrate efficient data extraction, DAG construction, and ensemble-based assessment of pathway activity, showing that larger eruptions shift activation earlier and extend durations. The work enables high-resolution, causality-inspired analysis within high-fidelity climate models and points toward extensions to additional model components and real-time coanalysis.

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.

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

TL;DR

This paper addresses how to quantify localized climate disturbances by representing their interactions as time-dependent DAGs derived from in-situ analyses. It introduces CLDERA-Tools, a lightweight library that links to E3SM to extract high-frequency quantities of interest and compute pathway graphs under volcanic forcing. Using an idealized HSW-V configuration, the authors demonstrate efficient data extraction, DAG construction, and ensemble-based assessment of pathway activity, showing that larger eruptions shift activation earlier and extend durations. The work enables high-resolution, causality-inspired analysis within high-fidelity climate models and points toward extensions to additional model components and real-time coanalysis.

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.
Paper Structure (12 sections, 5 equations, 6 figures, 1 algorithm)

This paper contains 12 sections, 5 equations, 6 figures, 1 algorithm.

Table of Contents

  1. Introduction
  2. Climate modeling preliminaries
  3. The atmosphere component of E3SMv2
  4. The modified HSW-V configuration
  5. Physical pathways in climate simulations
  6. Algorithm to construct pathway DAGs
  7. Pathway computation in HSW-V
  8. In-situ extraction of climate data
  9. Results of Numerical Experiments
  10. Cost Study
  11. Pathway Analysis
  12. Conclusion

Figures (6)

  • Figure 1: (Top) Zonal regions used to define QOIs in the HSW-V configuration. (Bottom) Base-dag for QOIs we define for the HSW-V configuration where the names of the nodes are defined in the first paragraph of Section \ref{['sec:pathwayhsw']}.
  • Figure 2: The additional computational overhead of running in-situ tracking with CLDERA-Tools scales with the number of QOIs being tracked.
  • Figure 3: First activation times with error bars denoting the standard error (mean and standard error taken with respect to the 10-element ensemble corresponding to an eruption mass of 5,10,20 Tg) for SO2, SUL, AOD, T (using the Ex2 bounds test) in all four zones. In figures with two y-axes, the left y-axis on the left corresponds to the 5 Tg eruption mass and the right y-axis on the right corresponds to the 10 and 20 Tg eruption masses.
  • Figure 4: Total activation times with error bars denoting the standard error (mean and standard error taken with respect to the 10-element ensemble corresponding to an eruption mass of 5,10,20 Tg) for SO2, SUL, AOD, T (using the Ex2 bounds test) in all four zones.
  • Figure 5: (Left) First time T(x) is active in the 10 Tg eruption ensemble in Ex1,Ex2,Ex3,Ex4. (Right) Total time T(x) is active in the 10 Tg eruption ensemble in Ex1,Ex2,Ex3,Ex4.
  • ...and 1 more figures