Data Management And Analysis With Wrf And Sfire

Data Management And Analysis With Wrf And Sfire
Jonathan D Beezley, Mavin Martin, Paul Rosen, Jan Mandel, and Adam K Kochanski
IEEE International Geoscience and Remote Sensing Symposium, 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.

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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. IEEE International Geoscience and Remote Sensing Symposium, 2012.

Bibtex


@inproceedings{beezley2012data,
  title = {Data Management and Analysis with WRF and SFIRE},
  author = {Beezley, Jonathan D and Martin, Mavin and Rosen, Paul and Mandel, Jan and
    Kochanski, Adam K},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium},
  pages = {5274--5277},
  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.}
}