LES ARM Symbiotic Simulation and Observation Workflow
Tying Together ARM Data and LES Modeling to Improve Climate Science
This two-year high-resolution model development pilot project combines observational and modeling elements to enable a new level of scientific inquiry.
New Routine Modeling
The pilot project, called LASSO—the LES ARM Symbiotic Simulation and Observation workflow—is laying the groundwork to produce routine LES modeling at the ARM Southern Great Plains (SGP) megasite, with LASSO completing the pilot phase in 2017. The initial LASSO implementation will target shallow clouds and will later expand to other phenomena and ARM sites.
LASSO will enhance ARM observations by using LES modeling to provide context and a self-consistent representation of the atmosphere surrounding the SGP that will connect processes together and facilitate improved understanding. The project will result in a library of simulations that can be used to test the accuracy of climate model parameterizations, serve as a proxy for the atmosphere to develop remote retrievals, as well as many other applications.
A “data cube” for LASSO is being developed that will combine ARM observations and high-resolution model output to provide a highly detailed description of the atmosphere in the vicinity of the megasite. By enhancing metadata search capabilities, presenting a full set of parameters on a common grid, and including metrics and diagnostics to evaluate each case, these data cubes will simplify data discovery, access, and analysis for climate researchers and modelers.
Researcher and Modeling Community Input
LASSO is being developed for the benefit of the atmospheric science and climate modeling communities. To ensure this DOE project meets researcher and modeler’s needs, community input is invaluable. In addition to regular email communications and updates at conferences and meetings, you can get more information from the LASSO Principal Investigator William Gustafson.
To be included in LASSO project email updates, sign up for the LASSO information e-mail list.