LASSO enhances ARM observations by using large-eddy simulation (LES) modeling to provide context and a self-consistent representation of the atmosphere surrounding ARM sites. The LASSO project connects processes and facilitates improved understanding. The initial implementation targeted shallow clouds at ARM’s Southern Great Plains (SGP) atmospheric observatory. LASSO is now expanding to other phenomena and sites, starting with deep convection observed during ARM’s Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign in Argentina.
LASSO consists of an ever-growing library of simulations that can be used to test the accuracy of climate model parameterizations and to serve as a proxy for the atmosphere to develop remote retrievals, as well as many other applications. LASSO has developed “data bundles” that combine ARM observations and high-resolution model output to provide a highly detailed description of the atmosphere in the vicinity of ARM sites.
To access the data bundles, LASSO developed web interfaces called “bundle browsers,” which allow researchers to search for data bundles using a variety of parameters. Fully published simulations and their accompanying diagnostics are available via the bundle browsers for SGP shallow convection and CACTI deep convection.