The Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA)
To explore the various couplings across space and time and between ecosystems in a consistent manner, atmospheric modeling is moving away from the fractured limited-scale modeling strategy of the past toward a unification of the range of scales inherent in the Earth system. This paper describes the forward-looking Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA), which is intended to become the next-generation community infrastructure for research involving atmospheric chemistry and aerosols. MUSICA will be developed collaboratively by the National Center for Atmospheric Research (NCAR) and university and government researchers, with the goal of serving the international research and applications communities. The capability of unifying various spatiotemporal scales, coupling to other Earth system components, and process-level modularization will allow advances in both fundamental and applied research in atmospheric composition, air quality, and climate and is also envisioned to become a platform that addresses the needs of policy makers and stakeholders. ; The National Center for Atmospheric Research is sponsored by the National Science Foundation. The authors thank Rebecca Schwantes, Forrest Lacey, and Olivia Clifton (NCAR) for valuable contributions to the manuscript. We further acknowledge the valuable suggestions by three anonymous reviewers. Daniel Jacob, Sebastian Eastham, and Kelley Barsanti acknowledge support from the NSF Atmospheric Chemistry Program. Jerome Fast is supported by the U.S. Department of Energy's Atmospheric System Research (ASR) program. Xiaohong Liu acknowledges support from the U.S. Department of Energy's Earth System Modeling Development Program. ; Peer Reviewed ; "Article signat per 27 autors/es: Gabriele G. Pfister, Sebastian D. Eastham, Avelino F. Arellano, Bernard Aumont, Kelley C. Barsanti, Mary C. Barth, Andrew Conley, Nicholas A. Davis, Louisa K. Emmons, Jerome D. Fast, Arlene M. Fiore, Benjamin Gaubert, Steve Goldhaber, Claire Granier, Georg A. Grell, Marc Guevara, Daven K. Henze, Alma Hodzic, Xiaohong Liu, Daniel R. Marsh, John J. Orlando, John M. C. Plane, Lorenzo M. Polvani, Karen H. Rosenlof, Allison L. Steiner, Daniel J. Jacob, and Guy P. Brasseur" ; Postprint (published version)