Simulating Daily Large Fire Spread Events in the Northern Front Range, Colorado, USA DOI Creative Commons
Matthew P. Thompson,

Dung Tuan Nguyen,

Christopher J. Moran

и другие.

Fire, Год журнала: 2024, Номер 7(11), С. 395 - 395

Опубликована: Окт. 31, 2024

Extreme spread events (ESEs), often characterized by high intensity and rapid rates of spread, can overwhelm fire suppression emergency response capacity, threaten responder public safety, damage landscapes communities, result in socioeconomic costs losses. Advances remote sensing geospatial analysis provide an improved understanding observed ESEs their contributing factors; however, there is a need to improve anticipatory predictive capabilities better prepare, mitigate, respond. Here, leveraging individual-fire day-of-arrival raster outputs from the FSim modeling system, we prototype evaluate methods for simulation categorization ESEs. We describe on case study landscape Colorado, USA, summarize daily event characteristics, threshold probabilistically benchmark ESEs, spatially depict ESE potential, limitations, extensions, potential applications this work. Simulation results generally showed strong alignment with historical patterns growth proportion cumulative area burned western US identified hotspots potential. Continued will likely expand horizon uses grow salience as become more common.

Язык: Английский

Simulating Daily Large Fire Spread Events in the Northern Front Range, Colorado, USA DOI Creative Commons
Matthew P. Thompson,

Dung Tuan Nguyen,

Christopher J. Moran

и другие.

Fire, Год журнала: 2024, Номер 7(11), С. 395 - 395

Опубликована: Окт. 31, 2024

Extreme spread events (ESEs), often characterized by high intensity and rapid rates of spread, can overwhelm fire suppression emergency response capacity, threaten responder public safety, damage landscapes communities, result in socioeconomic costs losses. Advances remote sensing geospatial analysis provide an improved understanding observed ESEs their contributing factors; however, there is a need to improve anticipatory predictive capabilities better prepare, mitigate, respond. Here, leveraging individual-fire day-of-arrival raster outputs from the FSim modeling system, we prototype evaluate methods for simulation categorization ESEs. We describe on case study landscape Colorado, USA, summarize daily event characteristics, threshold probabilistically benchmark ESEs, spatially depict ESE potential, limitations, extensions, potential applications this work. Simulation results generally showed strong alignment with historical patterns growth proportion cumulative area burned western US identified hotspots potential. Continued will likely expand horizon uses grow salience as become more common.

Язык: Английский

Процитировано

0