Building and Running TDAAPS Models: WRF Predictions

Technical Report · Mon Oct 01 00:00:00 EDT 2018

DOI:https://doi.org/10.2172/1761342· OSTI ID:1761342

Aur, Katherine Anderson ^[1]; Preston, Leiph ^[1]; Poppeliers, Christian ^[1]; Williams, Michelle ^[1]

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1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

This document serves to guide a researcher through the process of predicting atmospheric conditions in a region of interest utilizing the Weather Research and Forecasting (WRF) model. This documentation is specific to WRF and WRF Preprocessing System (WPS) version 3.8.1. WRF is an atmospheric prediction system designed for meteorological research and numerical atmospheric prediction. In WRF, simulations may be generated utilizing real data or idealized atmospheric conditions. Output from WRF serves as input into the Time-Domain Atmospheric Acoustic Propagation Suite (TDAAPS) which performs staggered-grid finite difference modeling of the acoustic velocity pressure system to produce Green's functions through these atmospheric models.

• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000; NA0003525
• OSTI ID: 1761342
• Report Number(s): SAND-2018-11954; 670922
• Country of Publication: United States
• Language: English

Related Subjects

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54 ENVIRONMENTAL SCIENCES