A21D-0163
Model-Observation “Data Cubes” for the DOE Atmospheric Radiation Measurement Program’s LES ARM Symbiotic Simulation and Observation (LASSO) Workflow
Tuesday, 15 December 2015
Poster Hall (Moscone South)
Andrew Mark Vogelmann1, William I Gustafson Jr2, Tami Toto3, Satoshi Endo3, Xiaoping Cheng4, Zhijin Li5 and Heng Xiao2, (1)Brookhaven Natl Lab, Upton, NY, United States, (2)Pacific Northwest National Laboratory, Richland, WA, United States, (3)Brookhaven National Laboratory, Upton, NY, United States, (4)University of California Los Angeles, Los Angeles, CA, United States, (5)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Abstract:
The Department of Energy’s Atmospheric Radiation Measurement (ARM) Climate Research Facilities’ Large-Eddy Simulation (LES) ARM Symbiotic Simulation and Observation (LASSO) Workflow is currently being designed to provide output from routine LES to complement its extensive observations. The modeling portion of the LASSO workflow is presented by Gustafson et al., which will initially focus on shallow convection over the ARM megasite in Oklahoma, USA. This presentation describes how the LES output will be combined with observations to construct multi-dimensional and dynamically consistent “data cubes”, aimed at providing the best description of the atmospheric state for use in analyses by the community. The megasite observations are used to constrain large-eddy simulations that provide a complete spatial and temporal coverage of observables and, further, the simulations also provide information on processes that cannot be observed. Statistical comparisons of model output with their observables are used to assess the quality of a given simulated realization and its associated uncertainties. A data cube is a model-observation package that provides: (1) metrics of model-observation statistical summaries to assess the simulations and the ensemble spread; (2) statistical summaries of additional model property output that cannot be or are very difficult to observe; and (3) snapshots of the 4-D simulated fields from the integration period. Searchable metrics are provided that characterize the general atmospheric state to assist users in finding cases of interest, such as categorization of daily weather conditions and their specific attributes. The data cubes will be accompanied by tools designed for easy access to cube contents from within the ARM archive and externally, the ability to compare multiple data streams within an event as well as across events, and the ability to use common grids and time sampling, where appropriate.
