| Publication Type |
pre-print |
| School or College |
College of Engineering |
| Department |
Meteorology |
| Creator |
Rosen, Paul Andrew |
| Other Author |
Beezley, Jonathan D.; Martin, Mavin; Mandel, Jan; Kochanski, Adam K. |
| Title |
Data management and analysis with WRF and SFIRE |
| Date |
2012-01-01 |
| 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. |
| Type |
Text |
| Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| First Page |
5274 |
| Last Page |
5277 |
| Language |
eng |
| Bibliographic Citation |
Beezley, J. D., Martin, M., Rosen, P., Mandel, J., & Kochanski, A. K. (2012). Data management and analysis with WRF and SFIRE. International Geoscience and Remote Sensing Symposium (IGARSS), no. 6352419, 5274-7. |
| Rights Management |
(c) 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Format Medium |
application/pdf |
| Format Extent |
546,002 bytes |
| Identifier |
uspace,18185 |
| ARK |
ark:/87278/s6h42975 |
| Setname |
ir_uspace |
| ID |
708332 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6h42975 |
