NVCL - Improving the Quasi-Biennial Oscillation (QBO) through Surrogate - Accelerated Parameter Optimization and Vertical Grid Modification

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Improving the Quasi-Biennial Oscillation (QBO) through Surrogate - Accelerated Parameter Optimization and Vertical Grid Modification

This project aims to improve the Energy Exascale Earth System Model (E3SM),

Energy Exascale Earth System Model (E3SM)

The Energy Exascale Earth System Model (E3SM) project includes Earth System Models, simulations, and predictions to investigate energy-relevant science using code optimized for DOE's advanced supercomputers.

Source: NVCL Web Page Source

a model development and simulation project that investigates energy science using code optimized for supercomputers. We use machine learning

machine learning (ML)

Machine Learning (ML) refers to the field and practice of using algorithms that are able to “learn” by extracting patterns from a large body of data.

Source: Center of Excellence Source

techniques in our research to improve model biases in E3SM due to the quasi-biennial oscillation (QBO), a regular variation of the winds high above the equator and cause changes in the tropical stratosphere.

Keywords	convection, convection The rising of warm air and the sinking of cool air. Convection can cause local breezes, winds, and thunderstorms. Source: NASA earth observatory Source convective parameterization, E3SM, mesoscale mesoscale Size scale referring to weather systems smaller than synoptic-scale systems but larger than storm-scale systems. Horizontal dimensions generally range from around 50 miles to several hundred miles. Squall lines, MCCs, and MCSs are examples of mesoscale weather systems Source: NOAA Source convection, MMF, model bias, modeling, parameter optimization, quasi-biennial oscillation (QBO), structure and composition, surrogate models, tropical convection
TYPE	Project

Keywords

convection, convective parameterization, E3SM, mesoscale convection, MMF, model bias, modeling, parameter optimization, quasi-biennial oscillation (QBO), structure and composition, surrogate models, tropical convection

TYPE

Project

Principal Investigator (PI)

Jim Benedict

Lead Institution

Other Collaborators

National Center for Atmospheric Research

Equatorial zonal mean zonal wind for (a) observations, (b) E3SM with default vertical grid, and (c) E3SM with a smoothed vertical grid. (Image credit: Los Alamos National Laboratory)

For more information

Jim Benedict
Los Alamos National Laboratory

https://jjbenedict.github.io/scidac-qbo-e3sm/