气候变化领域集成服务门户(CCPortal): Uncertainties in Atmospheric River Lifecycles by Detection Algorithms: Climatology and Variability

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DOI	10.1029/2020JD033711
	Uncertainties in Atmospheric River Lifecycles by Detection Algorithms: Climatology and Variability
	Zhou Y.; O'Brien T.A.; Ullrich P.A.; Collins W.D.; Patricola C.M.; Rhoades A.M.
发表日期	2021
ISSN	2169897X
卷号	126 期号:8
英文摘要	Atmospheric rivers (ARs) are long and narrow filaments of vapor transport that are responsible for most poleward moisture transport outside of the tropics. Many AR detection algorithms have been developed to automatically identify ARs in climate data. The diversity of these algorithms has introduced appreciable uncertainties in quantitative measures of AR properties and thereby impedes the construction of a unified and internally consistent climatology of ARs. This paper compares nine global AR detection algorithms from the perspective of AR lifecycles following the propagation of ARs from origin to termination in the MERRA2 reanalysis over the period 1980–2017. Uncertainties in AR lifecycle characteristics, including event number, lifetime, intensity, and frequency distribution are discussed. Notably, the number of AR events per year in the Northern Hemisphere can vary by a factor of 5 with different algorithms. Although all algorithms show that the maximum AR origin (termination) frequency is located over the western (eastern) portion of ocean basins, significant disagreements appear in regional distribution. Spreads are large in AR lifetime and intensity. The number of landfalling AR events produced by the algorithms can vary from 16 to 80 events per year, although the agreement improves for stronger ARs. By examining the ARs' connections with the Madden-Julian Oscillation and El Niño Southern Oscillation, we find that the overall responses of ARs (such as changes in AR frequency, origin, and landfall activity) to climate variability are consistent among algorithms. © 2021. American Geophysical Union. All Rights Reserved.
英文关键词	ARTMIP; atmospheric river; moisture transport; tracking; uncertainty
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/185377
作者单位	Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Department of Earth and Atmospheric Sciences, Indiana University, Bloomington, IN, United States; Department of Land, Air, and Water Resources, University of California, Davis, Davis, CA, United States; Department of Earth and Planetary Science, University of California, Berkeley, CA, United States; Department of Geological and Atmospheric Sciences, Iowa State University, Ames, IA, United States
推荐引用方式 GB/T 7714	Zhou Y.,O'Brien T.A.,Ullrich P.A.,et al. Uncertainties in Atmospheric River Lifecycles by Detection Algorithms: Climatology and Variability[J],2021,126(8).
APA	Zhou Y.,O'Brien T.A.,Ullrich P.A.,Collins W.D.,Patricola C.M.,&Rhoades A.M..(2021).Uncertainties in Atmospheric River Lifecycles by Detection Algorithms: Climatology and Variability.Journal of Geophysical Research: Atmospheres,126(8).
MLA	Zhou Y.,et al."Uncertainties in Atmospheric River Lifecycles by Detection Algorithms: Climatology and Variability".Journal of Geophysical Research: Atmospheres 126.8(2021).