Chemistry Across Multiple Phases (CAMP) version 1.0: An integrated\n multi-phase chemistry model Article Swipe
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· 2021
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2111.07436
· OA: W4320931817
A flexible treatment for gas- and aerosol-phase chemical processes has been\ndeveloped for models of diverse scale, from box models up to global models. At\nthe core of this novel framework is an "abstracted aerosol representation" that\nallows a given chemical mechanism to be solved in atmospheric models with\ndifferent aerosol representations (e.g., sectional, modal, or\nparticle-resolved). This is accomplished by treating aerosols as a collection\nof condensed phases that are implemented according to the aerosol\nrepresentation of the host model. The framework also allows multiple chemical\nprocesses (e.g., gas- and aerosol-phase chemical reactions, emissions,\ndeposition, photolysis, and mass-transfer) to be solved simultaneously as a\nsingle system. The flexibility of the model is achieved by (1) using an\nobject-oriented design that facilitates extensibility to new types of chemical\nprocesses and to new ways of representing aerosol systems; (2) runtime model\nconfiguration using JSON input files that permits making changes to any part of\nthe chemical mechanism without recompiling the model; this widely used,\nhuman-readable format allows entire gas- and aerosol-phase chemical mechanisms\nto be described with as much complexity as necessary; and (3) automated\ncomprehensive testing that ensures stability of the code as new functionality\nis introduced. Together, these design choices enable users to build a\ncustomized multiphase mechanism, without having to handle pre-processors,\nsolvers or compilers. This new treatment compiles as a stand-alone library and\nhas been deployed in the particle-resolved PartMC model and in the MONARCH\nchemical weather prediction system for use at regional and global scales.\nResults from the initial deployment will be discussed, along with future\nextension to more complex gas-aerosol systems, and the integration of GPU-based\nsolvers.\n
