DOE OSTI · 3375371
The Aerosol Model Benchmarking Repository: A toolkit for model intercomparison
Abstract
The Aerosol Model Benchmarking Repository and Standards (AMBRS) project was initiated to provide tools and to establish community standards for benchmarking aerosol models. This report describes a set of open-source tools for building, running, and analyzing aerosol box model simulations in a standardized framework. The framework consists of three core components: AMBuilder, a CMake-based build system that compiles supported models consistently; AMBRS, a Python module that defines unified numerical experiments and executes them with aligned inputs; and PyParticle, an aerosol analysis package that standardizes output, computes diagnostics, and visualizes simulation results. Together, these tools enable reproducible intercomparison of aerosol schemes and support process-level evaluation of how model simplifications affect predictions of size distributions, cloud condensation nuclei activity, and other relevant properties relevant for the Earth-Energy system. Beyond its role in benchmarking, AMBRS provides a platform for studying aerosol processes across scales and can be used to generate training data for AI/ML applications in support of a broader hierarchical aerosol modeling strategy.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Fierce, Laura M. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Johnson, Jeffrey [Cohere Consulting LLC, Seattle, WA (United States)], Quevedo, Duncan [University of California, Berkeley, CA (United States)], Murphy, Benjamin N. [Norwegian Meteorological Institute, Oslo (Norway)], Riemer, Nicole [Univ. of Illinois at Urbana-Champaign, IL (United States)] (ORCID:0000000232203457), Dawson, Matthew [Cohere Consulting LLC, Seattle, WA (United States)]. 2025-12-09. The Aerosol Model Benchmarking Repository: A toolkit for model intercomparison. https://doi.org/10.2172/3375371
Cite the original work for its findings. Save a collection to share your selection of sources.