NCAR / NCAR/MPAS-Workflow

Use a larger time step for MPAS forecast

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#299 1 comment 0 reactions 5 assignees View on GitHub

@jim-p-w is already working on this.

Since Mar 20, 2024.

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Python
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Description

I believe we are still using 6dx for the forecast time step in our workflow and experiments.
I suggest we try 8dx, in the cycling and longer-range forecasts.
This will make experiment run faster and save a not small % of core hours.
Once we confirm this larger time step works well for you, we should set this as the default in the workflow.

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