Data management and analysis with WRF and SFIRE

Abstract

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.

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Citation

Jonathan D. Beezley, Mavin Martin, Paul Rosen, Jan Mandel, and Adam K. Kochanski. Data management and analysis with wrf and sfire. In IEEE International Geosciences and Remote Sensing Symposium, 2012.

Bibtex


@inproceedings{Beezley.2012,
  author = {Jonathan D. Beezley and Mavin Martin and Paul Rosen and
	Jan Mandel and Adam K. Kochanski},
  title = {Data management and analysis with WRF and SFIRE},
  booktitle = {IEEE International Geosciences and Remote Sensing Symposium},
  year = {2012},
  abstract = {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.}
}