Benefits of Using the Aerosol Modeling Testbed
Issues with the Current Modeling Paradigm:
New treatments for specific aerosol processes reported in the literature have been incorporated into 0-D or 3-D models and evaluated using limited laboratory or field data. Each study usually employs a different model and/or data set; therefore, the performance and computational efficiency of various approaches that treat the same aerosol process cannot be directly compared. Differences in domain configuration, emission rates, meteorology, gas phase chemistry, and other aerosol processes all affect the predictions. Model intercomparison studies do not quantify the range of uncertainty associated with a specific aerosol process, nor does this type of uncertainty analysis provide much information on which aerosol process needs improving the most.
Consequently, the current paradigm of improving aerosol process modules is haphazard and slow.
The Solution—A New Modeling Paradigm:
The Aerosol Modeling Testbed is a computational framework designed to systematically and objectively evaluate new aerosol process modules over a wide range of spatial and temporal scales, that also complements existing modeling activities. The benefits of a testbed approach include:
- quantifying how multiple treatments for a specific aerosol process perform for real-world conditions
- assessing the performance of aerosol treatments in relation to their computational expense
- providing tools that facilitate science by minimizing redundant tedious tasks
- documenting improvements to treatments of aerosol processes over time
- fostering collaboration among aerosol modelers and laboratory/field scientists