• DocumentCode
    576582
  • Title

    Data management and analysis with WRF and SFIRE

  • Author

    Beezley, Jonathan D. ; Martin, Mavin ; Rosen, Paul ; Mandel, Jan ; Kochanski, Adam K.

  • Author_Institution
    Dept. of Math. & Stat. Sci., Univ. of Co., Denver, CO, USA
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5274
  • Lastpage
    5277
  • 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.
  • Keywords
    geographic information systems; geophysical image processing; geophysical techniques; geophysics computing; solid modelling; 3D environment; Google Earth; Python web scrapers; atmospheric data downloading; atmospheric data preprocessing; data analysis; data management; high quality 3D renderings; output data formats; postprocessing scripts; real surface imagery; real wildland fire simulations; standalone programs; surface data downloading; surface data preprocessing; unified web application; wildland fire modeling environment; Atmospheric modeling; Computational modeling; Data models; Google; Meteorology; Predictive models; Standards; Client-server systems; Data analysis; Data preprocessing; Geophysics computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352419
  • Filename
    6352419