GSTDTAP  > 气候变化
DOI10.1029/2020GL091410
Microwave retrievals of soil moisture improve grassland wildfire predictions
Angela J. Rigden; Robert S. Powell; Aleyda Trevino; Kaighin A. McColl; Peter Huybers
2020-11-02
发表期刊Geophysical Research Letters
出版年2020
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 U.S. Receiver operating characteristic curves estimated from 1,907 fires indicates that inclusion of soil moisture in addition to VPD observations permits for more skillful prediction (p<0.05). When VPD already indicates 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 indicate potential to improve daily fire risk models with the addition of remotely sensed soil moisture.

领域气候变化
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/301782
专题气候变化
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GB/T 7714
Angela J. Rigden,Robert S. Powell,Aleyda Trevino,et al. Microwave retrievals of soil moisture improve grassland wildfire predictions[J]. Geophysical Research Letters,2020.
APA Angela J. Rigden,Robert S. Powell,Aleyda Trevino,Kaighin A. McColl,&Peter Huybers.(2020).Microwave retrievals of soil moisture improve grassland wildfire predictions.Geophysical Research Letters.
MLA Angela J. Rigden,et al."Microwave retrievals of soil moisture improve grassland wildfire predictions".Geophysical Research Letters (2020).
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