LASSO’s Data Bundles for Consumption
Poster PDF
Authors
Andrew M. Vogelmann — Brookhaven National Laboratory
William I. Gustafson — Pacific Northwest National Laboratory
Tami Fairless — Pacific Northwest National Laboratory
Satoshi Endo — Brookhaven National Laboratory
Heng Xiao — Pacific Northwest National Laboratory
Zhijin Li — University of California
Xiaoping Cheng — National University of Defense Technology
Kyle K Dumas (Quicklooks) — Oak Ridge National Laboratory
Category
ARM next generation – Megasite and LES activities
Description
The Large-Eddy Simulation (LES) ARM Symbiotic Simulation and Observation (LASSO) Project has been designed to provide routine large-eddy simulations at ARM sites, starting with shallow convection cases over the Southern Great Plains (SGP) facility. SGP megasite observations are used to constrain and evaluate the LES simulations to provide a complete spatial and temporal coverage of observables for analysis by the community, including process analyses, retrieval development, and parameterization testing and development. This poster describes the “data bundles,” which are packages of model-observation data for each case that are aimed at being easy to explore to assist users in finding cases of interest. A data bundle consists of: (1) searchable metrics and quicklooks; (2) simulation-observation metrics to assess model performance; (3) categorization of daily weather conditions and their specific attributes for the simulated period; (4) the observed and simulated fields used to assess model performance; (5) statistical summaries of key model property output; (6) snapshots of the 4-D simulated fields from the integration period; (7) model inputs such as forcing data sets and initial conditions. A “data bundle browser” provides an interface to explore and order cases of interest (see Krishna et al. poster).
