An important component of the Atmospheric Radiation Measurement (ARM) facility’s mission is to contribute to the improvement of climate and earth system models. To better link ARM observations to global-scale models, ARM has added Large Eddy Simulation (LES) modeling to its suite of capabilities. LES models combined with ARM observations support the study of atmospheric processes and the improvement of observational retrievals. LES model simulations constrained by observations help to bridge detailed high-resolution observations and spatially coarse global-scale models, thereby strengthening ARM’s ability to impact the development of parameterizations of clouds, aerosols, and radiation in climate models.
A key project in the next-generation ARM combines observational and modeling elements to enable a new level of scientific inquiry. It ties together observational data and large-eddy simulation (LES) modeling to support the study of atmospheric processes, improvement of observational retrievals, and representations of clouds, aerosols, and radiation in earth system models. This project, called LASSO—the LES ARM Symbiotic Simulation and Observation workflow, initially focused on continental shallow convection at ARM’s Southern Great Plains atmospheric observatory.
ARM instruments are gathering the observational data required to power national and international research efforts related to earth system changes. A growing number of scientists are now making use of ARM data to better represent processes in earth system models, but challenges remain in applying ARM data to these models both because of the different spatial scales they represent and differences in perspective between observational and modeling studies. Explicit partnerships between ARM and modeling groups leads to strategies that address these challenges.