Presenter: James Benedict, Los Alamos National Laboratory

Title: Improving the QBO through surrogate-accelerated parameter optimization and vertical grid modification

Abstract:

The quasi-biennial oscillation (QBO) is the leading mode of variability in the tropical stratosphere. Though the QBO itself is confined to the equatorial region, it influences global climate patterns and weather extremes and regulates stratospheric chemical constituents. QBO representation in most global climate models remains poor. Particularly alarming are the large QBO biases in E3SM version 2 and development version 3. The E3SM biases are hypothesized to stem from an inadequate resolution of the vertical grid and poor representation of resolved and parameterized gravity waves, whose upward propagation from the troposphere into the stratosphere and associated momentum deposition drive the QBO. This presentation serves as a brief overview of our SciDAC project, which is focused on improving the QBO in E3SM and is comprised of the following ongoing or planned research tasks: (1) develop a machine learning-based workflow leveraging surrogate model accelerators to efficiently and objectively conduct parameter optimization in E3SM, (2) implement process-oriented diagnostics to advance our understanding of the QBO and evaluate whether the optimized QBO exhibits features consistent with physical processes inferred from observations, and (3) leverage E3SM configurations with alternative treatments of convection to more deeply probe the mechanisms that might be missing in the conventional E3SM. Preliminary project results that may be relevant to the E3SM v3 development cycle will also be discussed.

Date 03 Aug 2023

Time

PT: 8:30 am
ET: 11:30 am

Call Info

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Attendees

Time	Title	Presenter	Presentation	Recording	Notes
30 min	Improving the QBO through surrogate-accelerated parameter optimization and vertical grid modification	James Benedict		MP4 Movie (on the E3SM YouTube Channel)

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