Abstract
Abstract. The single-column model (SCM) functionality of the Energy Exascale Earth System Model version 1 (E3SMv1) is described in this paper. The E3SM SCM was adopted from the SCM used in the Community Atmosphere Model (CAM) but has evolved significantly since then. We describe changes made to the aerosol specification in the SCM, idealizations, and developments made so that the SCM uses the same dynamical core as the full general circulation model (GCM) component. Based on these changes, we describe and demonstrate the seamless capability to “replay” a GCM column using the SCM. We give an overview of the E3SM case library and briefly describe which cases may serve as useful proxies for replicating and investigate some long-standing biases in the full GCM runs while demonstrating that the E3SM SCM is an efficient tool for both model development and evaluation.
Highlights
Despite advances in computation allowing for general circulation models (GCMs) to be run with progressively finer resolution with each successive generation, the parameterized physics in the atmospheric components of these GCMs have steadily become more complex
6 Summary and discussion This paper describes the E3SMv1 single-column model (SCM), including modifications made to it since we adopted it from Community Atmosphere Model (CAM), and how this configuration can be useful for model development and evaluation
The E3SM SCM is configured to work with the same dynamical core as the full GCM
Summary
Despite advances in computation allowing for general circulation models (GCMs) to be run with progressively finer resolution with each successive generation, the parameterized physics in the atmospheric components of these GCMs have steadily become more complex. While this increase in complexity often leads to better climate simulations due to more realistic and comprehensive processes being accounted for, understanding interactions between these parameterizations and the GCM dynamics can be a daunting task. Depending on the regime of interest being targeted, the SCM simulation can readily be compared against observations or large eddy simulation (LES) This allows for rapid feedback of the parameterization performance in a more process-oriented environment.
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