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Article

Dead Fuel Moisture Content Reanalysis Dataset for California (2000–2020)

by
Angel Farguell
1,*,
Jack Ryan Drucker
1,
Jeffrey Mirocha
2,
Philip Cameron-Smith
2 and
Adam Krzysztof Kochanski
1,*
1
Wildfire Interdisciplinary Research Center, San Jose State University, San Jose, CA 95192, USA
2
Lawrence Livermore National Laboratory, Livermore, CA 94550, USA
*
Authors to whom correspondence should be addressed.
Fire 2024, 7(10), 358; https://doi.org/10.3390/fire7100358
Submission received: 17 August 2024 / Revised: 3 October 2024 / Accepted: 4 October 2024 / Published: 9 October 2024
(This article belongs to the Special Issue Applications of Computational Statistics to Wildfire Science and Management)
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Abstract

This study presents a novel reanalysis dataset of dead fuel moisture content (DFMC) across California from 2000 to 2020 at a 2 km resolution. Utilizing a data assimilation system that integrates a simplified time-lag fuel moisture model with 10-h fuel moisture observations from remote automated weather stations (RAWS) allowed predictions of 10-h fuel moisture content by our method with a mean absolute error of 0.03 g/g compared to the widely used Nelson model, with a mean absolute error prediction of 0.05 g/g. For context, the values of DFMC in California are commonly between 0.05 g/g and 0.30 g/g. The presented product provides gridded hourly moisture estimates for 1-h, 10-h, 100-h, and 1000-h fuels, essential for analyzing historical fire activity and understanding climatological trends. The methodology presented here demonstrates significant advancements in the accuracy and robustness of fuel moisture estimates, which are critical for fire forecasting and management.
Keywords: dead fuel moisture content; reanalysis dataset; data assimilation dead fuel moisture content; reanalysis dataset; data assimilation

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MDPI and ACS Style

Farguell, A.; Drucker, J.R.; Mirocha, J.; Cameron-Smith, P.; Kochanski, A.K. Dead Fuel Moisture Content Reanalysis Dataset for California (2000–2020). Fire 2024, 7, 358. https://doi.org/10.3390/fire7100358

AMA Style

Farguell A, Drucker JR, Mirocha J, Cameron-Smith P, Kochanski AK. Dead Fuel Moisture Content Reanalysis Dataset for California (2000–2020). Fire. 2024; 7(10):358. https://doi.org/10.3390/fire7100358

Chicago/Turabian Style

Farguell, Angel, Jack Ryan Drucker, Jeffrey Mirocha, Philip Cameron-Smith, and Adam Krzysztof Kochanski. 2024. "Dead Fuel Moisture Content Reanalysis Dataset for California (2000–2020)" Fire 7, no. 10: 358. https://doi.org/10.3390/fire7100358

APA Style

Farguell, A., Drucker, J. R., Mirocha, J., Cameron-Smith, P., & Kochanski, A. K. (2024). Dead Fuel Moisture Content Reanalysis Dataset for California (2000–2020). Fire, 7(10), 358. https://doi.org/10.3390/fire7100358

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