Publish Date: May 26, 2011
Article Source: M&S Journal
Article Link: www.aer.com/news-events/in-the-news/2011/environmental-data-cube-support-system-realistic
M&S Journal, Spring 2011, "The Data Issue".
Article on pages 43-50 at http://www.msco.mil/documents/MSJournal2011Spring.pdf. (Please copy and paste the url into your browser.)
- Robert G. Brents, Air and Space Natural Environment Modeling and Simulation Executive Agent (ASNE MSEA)
- Steve Lowe, Atmospheric and Environmental Research, Inc.
- S. Mark Webb, DAFC, Air Force Weather/JFCOM Liaison, M&S Integration & Requirements Lead
"The EDCSS clearly supports DoD’s M&S Vision since it transforms the difficult, time consuming, and expensive process of including weather and other effects of the natural environment into an efficient, rapid, and cost effective process which is available to the entire Department."
As a provider of correlated, integrated natural environments to Department of Defense (DoD) modeling and simulation (M&S), the Environmental Data Cube Support System (EDCSS) is becoming a key component of the DoD M&S Data Enterprise. Currently under continuing development, the EDCSS is a production capability focused on generating and distributing natural environmental data, effects, and products required to support M&S events. The EDCSS addresses integration across all environmental domains (air, ocean, space, terrain) by constructing environmental representations from authoritative source data providers and generating effects from DoD standard soil strength and mobility models as well as modeled sensor responses. The EDCSS allows for the selection of realistic historical scenarios as the basis of the environment representation. The EDCSS delivers pre-computed environmental effects and system performance metrics as well as simulated operational products (imagery, text, graphics) to support the control domain. The EDCSS supports runtime distribution of products via High Level Architecture (HLA) and has a range of tools to facilitate effective use of these data by simulations and their supporting applications.