Terrain and Urban Data Preprocessing System for the Atmospheric Boundary Layer Environment-Lattice Boltzmann Model
Abstract
The Atmospheric Boundary Layer Environment-Lattice Boltzmann Model (ABLE-LBM) is a next-generation microscale atmospheric model that has been developed by the US Army Combat Capabilities Development Command Army Research Laboratory to simulate and predict the atmospheric boundary layer turbulent wind, temperature, and other scalar transports over complex terrain and urban areas. The model requires grid-rasterized data of terrain elevation, urban building, and vegetation for the surface boundary information. This report details the successful proof of concept of using Node.js, an open-source JavaScript runtime environment, as a solution for performing the required preprocessing tasks of ABLE-LBM and in the development of a Google Geographical Information System (GIS)-based graphical user interface (GUI) web application for ABLE-LBM on a localhost server. The ABLE-LBM preprocessing tasks for terrain and building data generation were performed successfully using the ABLE-LBM Node.js GUI web application. This novel system takes advantage of enormous resources in map and image data retrieving and/or handling, overlaying, and many other GIS features that the Google Maps/Earth platform has to offer for improving the systems functionality and ease of use. The application is also cross-platform, which makes it more versatile for users.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 11, 2023
- Accession Number
- AD1213050
Entities
People
- Leelinda P. Dawson
- Yansen Wang
Organizations
- United States Army Research Laboratory