Multi-Scale Infrastructure for Chemistry Modeling (MUSICA)

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The Atmospheric Chemistry Observations and Modeling (ACOM) Laboratory at NCAR together with the atmospheric chemistry community is developing a new community modeling infrastructure. MUSICA – the Multi-Scale Infrastructure for Chemistry and Aerosols – 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.

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. 



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.




Please direct questions/comments about this page to:

Mary Barth