Data management and analysis with WRF and SFIRE

We introduce several useful utilities in development for the creation and analysis of real wildland fire simulations using WRF and SFIRE. These utilities exist as standalone programs and scripts as well as extensions to other well known software. Python web scrapers automate the process of downloadi...

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Main Authors: Beezley, J. D., Martin, M., Rosen, P., Mandel, J., Kochanski, A. K.
Format: Conference Proceeding
Language:English
Subjects:
Atmospheric modeling
Client-server systems
Computational modeling
Data analysis
Data models
Data preprocessing
Geophysics computing
Google
Meteorology
Predictive models
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creator Beezley, J. D.
Martin, M.
Rosen, P.
Mandel, J.
Kochanski, A. K.
description We introduce several useful utilities in development for the creation and analysis of real wildland fire simulations using WRF and SFIRE. These utilities exist as standalone programs and scripts as well as extensions to other well known software. Python web scrapers automate the process of downloading and preprocessing atmospheric and surface data from common sources. Other scripts simplify the domain setup by creating parameter files automatically. Integration with Google Earth allows users to explore the simulation in a 3D environment along with real surface imagery. Postprocessing scripts provide the user with a number of output data formats compatible with many commonly used visualization suites allowing for the creation of high quality 3D renderings. As a whole, these improvements build toward a unified web application that brings a sophisticated wildland fire modeling environment to scientists and users alike.
doi_str_mv 10.1109/IGARSS.2012.6352419
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subjects Atmospheric modeling
Client-server systems
Computational modeling
Data analysis
Data models
Data preprocessing
Geophysics computing
Google
Meteorology
Predictive models
title Data management and analysis with WRF and SFIRE
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