DOI: 10.1002/2017JD027639
Scopus记录号: 2-s2.0-85044439474
论文题名: Optimizing Precipitation Thresholds for Best Correlation Between Dry Lightning and Wildfires
作者: Vant-Hull B. ; Thompson T. ; Koshak W.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 5 起始页码: 2628
结束页码: 2639
语种: 英语
英文关键词: dry lightning
; wildfires
Scopus关键词: cloud to ground lightning
; data set
; optimization
; precipitation assessment
; prediction
; threshold
; wildfire
; United States
英文摘要: This work examines how to adjust the definition of “dry lightning” in order to optimize the correlation between dry lightning flash count and the climatology of large (>400 km2) lightning-ignited wildfires over the contiguous United States (CONUS). The National Lightning Detection Network™ and National Centers for Environmental Prediction Stage IV radar-based, gauge-adjusted precipitation data are used to form climatic data sets. For a 13 year analysis period over CONUS, a correlation of 0.88 is found between annual totals of wildfires and dry lightning. This optimal correlation is found by defining dry lightning as follows: on a 0.1° hourly grid, a precipitation threshold of no more than 0.3 mm may accumulate during any hour over a period of 3–4 days preceding the flash. Regional optimized definitions vary. When annual totals are analyzed as done here, no clear advantage is found by weighting positive polarity cloud-to-ground (+CG) lightning differently than –CG lightning. The high variability of dry lightning relative to the precipitation and lightning from which it is derived suggests it would be an independent and useful climate indicator. ©2018. American Geophysical Union. All Rights Reserved.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114284
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: CREST Institute, City College of New York, New York, NY, United States; New York City College of Technology, Brooklyn, NY, United States; Marshall Space Flight Center, NASA, Huntsville, AL, United States
Recommended Citation:
Vant-Hull B.,Thompson T.,Koshak W.. Optimizing Precipitation Thresholds for Best Correlation Between Dry Lightning and Wildfires[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(5)