A21D-0161
Modeling Workflow for the DOE Atmospheric Radiation Measurement Program’s LES ARM Symbiotic Simulation and Observation (LASSO) Workflow
Tuesday, 15 December 2015
Poster Hall (Moscone South)
William I Gustafson Jr1, Andrew Mark Vogelmann2, Heng Xiao1, Xiaoping Cheng3, Satoshi Endo4, Zhijin Li5 and Tami Toto4, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Brookhaven Natl Lab, Upton, NY, United States, (3)University of California Los Angeles, Los Angeles, CA, United States, (4)Brookhaven National Laboratory, Upton, NY, United States, (5)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Abstract:
The Department of Energy Atmospheric Radiation Measurement (ARM) Program is expanding its products to include routine large-eddy simulation (LES) modeling to compliment its extensive suite of climate-relevant observations, with the name of the new venture being the “LES ARM Symbiotic Simulation and Observation (LASSO) Workflow”. Decisions are currently being made regarding how to best configure both the specific model to be used, as well as the overall workflow that will be established. The initial focus of the routine modeling will be shallow convection at the ARM megasite in Oklahoma with a vision toward expanding the modeling to include other meteorological conditions once the routine modeling has been established. This presentation outlines the modeling portion of the workflow that includes generation of multiple forcing datasets and ensemble LES runs. The goal of the ensembles is to gauge the uncertainty of the forcings from event-to-event and to help derive a best estimate representation of the atmosphere over the megasite. This will then be used to construct “data cubes” that combine observations with the model output. A companion presentation by Vogelmann et al. presents the data cube concept that optimizes usage of observations with the LES.
