MUSICA Tutorial 2021
9:00 – 11:00 am MDT
MUSICA (Multi-Scale Infrastructure for Chemistry and Aerosols) is a new community modeling infrastructure which will become a computationally feasible global modeling framework that allows for the simulation of large-scale atmospheric phenomena, while still resolving chemistry at emission and exposure relevant scales (down to ~4 km within the next 5 years). MUSICA will eventually replace and extend the current separate community chemistry modeling efforts at NCAR (e.g. WACCM, CAM-Chem, WRF-Chem), paralleling other activities at NCAR to streamline and unify model development.
We will be starting an online MUSICA Tutorial series on November 12, 2021, 9-11 am MST (16-18 UTC). We plan to have monthly sessions, including presentations and hands-on exercises. Presentations will be recorded for viewing at your convenience if you cannot attend the session. We will also hold "office hours" 1 or 2 times in between each session to allow participants to ask questions after spending some time working on their own on each topic.
The current schedule is (check back regularly for updates):
- November 12, 2021: How to use MUSICA-V0 output (unstructured grids):
Tutorial notebooks on github
Instructions to start JupyterHub
- November 19: Office hours (9-10am MST, 16-17 UTC)
- December 10, 2021: How to run MUSICA-V0 (CAM-chem with CONUS grid)
We will be going through the steps shown on the MUSICA wiki site
- January 14, 2022: How to create your own variable resolution grid
Recommended preparation: watch Feb 2021 Tutorial video
and read wiki page
- February 11, 2022: no session
- March 11, 2022: Introduction to the MELODIES MONET software for comparing models and observations.
See MELODIES MONET Read the Docs for details and installation instructions.
- April 8, 9-11am MDT (16-18 UTC), 2022: How to use MusicBox
MusicBox requires Docker Desktop. Please install it prior to the tutorial.
Hands-on Exercise document
Please contact Louisa Emmons (emmons at ucar.edu) if you have any questions.
To prepare for the tutorial we highly recommend that you:
- Become familiar with CESM by going through the CESM Tutorial coursework
- Become familiar with CAM-chem by looking through the CAM-chem wiki page
- Find more information about MUSICAv0 on the MUSICA-V0 web page
- See python examples for plotting CAM-chem at Python Resources for CAM-chem
- If you are new to atmospheric chemistry modeling, see the Lectures from the Fundamentals of Atmospheric Chemistry Modeling workshop
- If you are new to python, see Project Pythia, a resource for Python for geosciences
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