Presenters: Benjamin Wagman, Andrew Yarger, Lyndsay Shand and Andy Salinger

Title: Autotuning E3SM using a surrogate model for climatological spatial fields

Abstract:

Tuning an Earth system model is a time-consuming effort traditionally led by subject matter experts. We are developing an automated tuning method that uses a perturbed parameter ensemble (PPE) and machine learning (ML)/uncertainty quantification (UQ)/optimization tools to select parameter values. We present the workflow and the results of our optimization for E3SMv2. The automated tuning method reduces the RMSE relative to the E3SMv2 release by 3.9% on average for a set of eleven spatial targets over four seasons. We also study the effects of PPE sample size, PPE climatology length (number of simulated years), and surrogate spatial resolution, to determine the most efficient methods for our next effort, the automated tuning of E3SMv3.

Date

02 Mar 2023

Time

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

Call Info

web session: https://global.gotomeeting.com/join/570361173
call number: (571) 317-3122 Access Code: 570-361-173, If busy, use alternate number: (773) 945-1029
Joining from a video-conferencing room or system? Dial: 67.217.95.2##570361173 , Cisco devices: 570361173@67.217.95.2

Attendees:

Time	Title	Presenter	Presentation	Recording	Notes
30 min	Autotuning E3SM using a surrogate model for climatological spatial fields	Andrew Yarger, Benjamin Wagman,		MP4 Movie (on the E3SM YouTube Channel)

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