30 Jul

Online Articles Highlight the WIFIRE Project

Published by admin


The online e-Zine Slate has posted an article about wildfire prediction models including an acknowledgement of the exciting research being done at UCSD for the WIFIRE project. Read more at http://tinyurl.com/qclvskw .


28 Feb

Student Intern James Macindoe Shares His Experience with WIFIRE

Published by admin

I have spent the last eight weeks at UCSD working on an Android app for WIFIRE. I am an undergraduate computer science student from Monash University, Australia. I've been participating in the Monash (MURPA, http://messagelab.monash.edu.au/MURPA) program, which is the twin of the UCSD PRIME (http://prime.ucsd.edu/) program. Both programs allow undergraduate students to spend a summer vacation overseas participating in a research project.

20 Jan

First WIFIRE Advisory Board Meeting

Published by ialtintas

The first meeting of the WIFIRE Advisory Board took place on Tuesday, January 14, 2014 at Qualcomm Institute (QI) at UCSD.

20 Jan

First WIFIRE All Hands Meeting

Published by jblock

The first annual WIFIRE All-Hands Meeting took place on January 13, 2014.

07 Jan


Published by jblock

WIFIRE gave its first poster presentation at the American Geophysical Union December 9-13, 2013.


The WIFIRE CI (cyberinfrastructure) will support an integrated system for wildfire analysis, with specific regard to changing urban dynamics and climate. The system will integrate networked observations such as heterogeneous satellite data and real-time remote sensor data, with computational techniques in signal processing, visualization, modeling, and data assimilation to provide a scalable method to monitor such phenomena as weather patterns that can help predict a wildfire's rate of spread.

The products of WIFIRE will be initially disseminated to project collaborators (SDG&E, CAL FIRE, USFS), covering academic, private, and government laboratories while generating value to emergency officials, and consequently to the general public. WIFIRE may be used by government agencies in the future to save lives and property during wildfire events, test the effectiveness of response and evacuation scenarios before they occur and assess the effectiveness of high-density sensor networks in improving fire and weather predictions. WIFIRE's high-density network, therefore, will serve as a testbed for future applications worldwide. The team is inclusive across a spectrum of collaborators and will create an open-source CI environment with intuitive workflows that lead to reusable software components for a wide range of science and engineering disciplines that can be extended to secondary education. Results are disseminated via an interactive website at SDSC in which students from high school to graduate level can participate in uploading their own data logging, data processing or data-driven alerts.

WIFIRE Partners