气候变化领域集成服务门户(CCPortal): Microwave Retrievals of Soil Moisture Improve Grassland Wildfire Predictions

CCPortal

DOI	10.1029/2020GL091410
	Microwave Retrievals of Soil Moisture Improve Grassland Wildfire Predictions
	Rigden A.J.; Powell R.S.; Trevino A.; McColl K.A.; Huybers P.
发表日期	2020
ISSN	0094-8276
卷号	47 期号:23
英文摘要	Statistical analyses of wildfires demonstrate that vapor pressure deficit (VPD) allows for skillful predictions, likely because it reflects fuel moisture content. Soil moisture provides a potentially complimentary measure of water availability but has been less explored because of sparse measurements. Using measurements from the Soil Moisture Active Passive satellite, the predictive skill afforded by using VPD and soil moisture together is explored across the Western United States. Receiver operating characteristic curves estimated from 1,907 fires indicate that inclusion of soil moisture in addition to VPD observations permits for more skillful prediction (p < 0.05). When VPD already signals high risk, the addition of soil moisture reduces the false positive rate grasslands (from 75% to 62%), shrublands (76% to 67%), and forests (74% to 68%) for a true positive rate of 75%. These results show potential to improve daily fire risk models with the addition of remotely sensed soil moisture. © 2020. American Geophysical Union. All Rights Reserved.
英文关键词	Fires; Forecasting; Fuels; Risk assessment; Soil surveys; False positive rates; Fuel moisture content; Grassland wildfires; Microwave retrieval; Receiver operating characteristic curves; Remotely sensed soil moisture; Vapor pressure deficit; Western United States; Soil moisture; forest soil; grassland; grassland soil; microwave imagery; prediction; remote sensing; shrubland; signal processing; soil moisture; vapor pressure; water availability; wildfire; United States; Trachinotus falcatus
语种	英语
来源期刊	Geophysical Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/169372
作者单位	Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, United States
推荐引用方式 GB/T 7714	Rigden A.J.,Powell R.S.,Trevino A.,et al. Microwave Retrievals of Soil Moisture Improve Grassland Wildfire Predictions[J],2020,47(23).
APA	Rigden A.J.,Powell R.S.,Trevino A.,McColl K.A.,&Huybers P..(2020).Microwave Retrievals of Soil Moisture Improve Grassland Wildfire Predictions.Geophysical Research Letters,47(23).
MLA	Rigden A.J.,et al."Microwave Retrievals of Soil Moisture Improve Grassland Wildfire Predictions".Geophysical Research Letters 47.23(2020).