WIFIRE: Real-Time Modeling of Wildfires with Open Data

OpenAQ
OpenAQ
Aug 8, 2017 · 1 min read
Firemap, the WIFIRE team’s web-based platform, shows elevated particulate matter levels in Yosemite during a wildfire in July 2017. Figure courtesy Daniel Crawl.

Recently, we ran across an open access, policy-relevant scientific article that was doing pretty cool stuff: modeling wildfires in real-time — and it ingests data from the OpenAQ platform as one of its data sources!

According to one of the paper’s authors, Daniel Crawl, Associate Director of the Workflows for Data Science Center at the San Diego Supercomputer Center, “The WIFIRE project integrates data sources such as satellite-based fire and smoke detection, real-time weather station measurements, and ground-based cameras to perform data-driven predictive modeling and analysis of wildfires.”

The WIFIRE project is a collaborative effort of scientists, engineers, technologists, government policy managers, private industry, and firefighters with the goal of enhancing wildfire management capabilities. For more information on the WIFIRE project, check out: https://wifire.ucsd.edu/

Are you using the OpenAQ platform to do something awesome? Let us know so we can give you a shout out! Email: info@openaq.org

OpenAQ
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