Modernizing the US National Fire Danger Rating System (version 4): Simplified fuel models and improved live and dead fuel moisture calculations

The US National Fire Danger Rating System (USNFDRS) supports wildfire management decisions nationwide, but it has not been updated since 1988. Here we implement new fuel moisture models, and we simplify the fuel models while maintaining the overall USNFDRS structure. Modeled and measured live fuel moisture content values were highly correlated ( r 2 = 0 . 629 with defaults and r 2 = 0 . 693 when species and location optimized). We also consolidated fuel models to five fuel types that eliminated significant index cross-correlation. Index seasonality compared between old (V2) and new USNFDRS models (v4) across six US National Forests was very similar ( ρ = 0.97). V4 was as good or better than V2 at predicting fire days in 92% of the cases tested and V4 effectively predicted wildfire days and large fire ignition days (AUCs 0.647 to 0.915). USNFDRS V4 can adequately depict spatial and temporal wildland fire potential and it can be adapted for worldwide use. • The US National Fire Danger Rating System (USNFDRS) has not been updated in 37 years. • We update USNFDRS with new live and dead fuel moisture models and simpler fuel types. • The new USNFDRS is as good or better at predicting fire activity than the old system. • This new model primes future innovation, and it can be adapted for worldwide use.

Authors

Institutions

Publication Details

Journal
Environmental Modelling & Software
Published
2024-08-13
DOI
https://doi.org/10.1016/j.envsoft.2024.106181
Citations
17
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
4.80
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modernizing the US National Fire Danger Rating System (version 4): Simplified fuel models and improved live and dead fuel moisture calculations

W. Matt Jolly, Patrick H. Freeborn, Jon Wallace, Larry Bradshaw et al.
17 citations
Environmental Modelling & Software
Fire effects on ecosystems
4.80
article

Modernizing the US National Fire Danger Rating System (version 4): Simplified fuel models and improved live and dead fuel moisture calculations

W. Matt Jolly, Patrick H. Freeborn, Jon Wallace, Larry Bradshaw, Stuart Brittain
article en
17 citations

Abstract

The US National Fire Danger Rating System (USNFDRS) supports wildfire management decisions nationwide, but it has not been updated since 1988. Here we implement new fuel moisture models, and we simplify the fuel models while maintaining the overall USNFDRS structure. Modeled and measured live fuel moisture content values were highly correlated ( r 2 = 0 . 629 with defaults and r 2 = 0 . 693 when species and location optimized). We also consolidated fuel models to five fuel types that eliminated significant index cross-correlation. Index seasonality compared between old (V2) and new USNFDRS models (v4) across six US National Forests was very similar ( ρ = 0.97). V4 was as good or better than V2 at predicting fire days in 92% of the cases tested and V4 effectively predicted wildfire days and large fire ignition days (AUCs 0.647 to 0.915). USNFDRS V4 can adequately depict spatial and temporal wildland fire potential and it can be adapted for worldwide use. • The US National Fire Danger Rating System (USNFDRS) has not been updated in 37 years. • We update USNFDRS with new live and dead fuel moisture models and simpler fuel types. • The new USNFDRS is as good or better at predicting fire activity than the old system. • This new model primes future innovation, and it can be adapted for worldwide use.

Environmental Modelling & SoftwareVol. 181
United States Fish and Wildlife Service (US), Altera (United States) (US), University of Montana (US)
Climate action
Openalex Percentile: Top 4%
Fire effects on ecosystems
4.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.