Multi-Scale Infrastructure for Chemistry Modeling (MUSICA)
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The Multiscale Infrastructure for Chemistry and Aerosols (MUSICA) Project's goal is to create infrastructure for representing chemistry in any atmosphere model (i.e., model independent chemistry representation), including global models with variable grid resolutions. The MUSICA system includes a software library and APIs in different languages to accommodate atmosphere models written in different software languages.
Are you looking for the MuSICA ecosystem model? The INRAE Multi-layer Simulator of the Interactions between vegetation Canopies and the Atmosphere (MuSICA) is primarily an ecosystem model focused on exchange between the atmosphere and terrestrial vegetation. Please click on the link to reach the INRAE MuSICA site.
NEWS & UPDATES
April 2026: We have added tutorials in python that demonstrate how to use the current modules in the MUSICA library (the model independent chemical module MICM and the photolysis rate calculator TUV-x). To launch the Jupyter Notebooks go to the MUSICA github page and click on the colored "launch binder" box.
February 2026: Demonstrating MUSICA in CAM-SIMA: (more info)
September 20-21, 2024: MUSICA Tutorial at Nanjing University, following "International Workshop for Multi-scale Modeling of Weather, Climate and Atmospheric Environment" (more info).
December 13, 2023: Town Hall at Fall AGU Meeting. TH35C: Next-Generation Modeling of Atmospheric Composition with the Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA) in Moscone Center West Room 2008 at 6:30-7:30pm.
October 2023: See recent publications by Jo et al. (2023) on simulating Korean Air Quality with MUSICAv0 and Tang et al. (2023) on applying MUSICAv0 to Africa
June 2022: MUSICAv0 description and evaluation paper with supplement published in JAMES.
June 2022: MUSICA vs WRF-Chem - a comparison.
November 2021: A monthly MUSICA Tutorial Series started November 12, 2021 - see the Tutorial Website for more information.
October 2021: MUSICAv0 output available for 2012-2013 using regional refinement over the contiguous US. Output is available on the DASH repository.
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