气候变化领域集成服务门户(CCPortal): Understanding the Spatial Organization of Simultaneous Heavy Precipitation Events Over the Conterminous United States

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DOI	10.1029/2020JD033036
	Understanding the Spatial Organization of Simultaneous Heavy Precipitation Events Over the Conterminous United States
	Najibi N.; Mazor A.; Devineni N.; Mossel C.; Booth J.F.
发表日期	2020
ISSN	2169897X
卷号	125 期号:23
英文摘要	We introduce the idea of simultaneous heavy precipitation events (SHPEs) to understand whether extreme precipitation has a spatial organization manifested as specified tracks or contiguous fields with inherent scaling relationships. For this purpose, we created a database of SHPEs using ground-based precipitation observations recorded by the daily Global Historical Climatology Network across the conterminous United States during 1900–2014. SHPEs are examined for their seasonality, spatial manifestation, orientation, and areal extent. We quantified the spatial distribution of the centroids and principal axes of SHPEs and their quasi-elliptical manifestations, azimuthal orientations, and areal extents on the ground. Four seasons, December-January-February (DJF), March-April-May (MAM), June-July-August (JJA), and September-October-November (SON) are considered to examine the spatial patterns and associated large-scale atmospheric circulations. Results indicate that there are 54, 58, 103, and 204 SHPEs in DJF, MAM, JJA, and SON seasons, and their longest stretches range on average between 650 and 1,600, between 850 and 1,500, between 950 and 1,550, and between 750 and 1,450 km, respectively. SHPEs in the DJF, MAM, and JJA seasons occur mostly over the Pacific coast and central and midwestern United States, respectively. The atmospheric circulation patterns and mechanisms of precipitable water vapor and moisture transport in the atmosphere are also discussed in relation to these SHPEs. Power laws explain SHPEs' underlying area scaling behavior in all the four seasons, with stronger evidence in DJF and MAM. A seasonal spatial risk model is developed to predict the likelihood of SHPEs. Quantifying the characteristics of SHPEs and modeling their footprints can improve the projections of flood risk and understanding of damages to interconnected infrastructure systems. © 2020. American Geophysical Union. All Rights Reserved.
英文关键词	Atmospheric Circulations; Extreme Precipitation; Flood; Predictive Model; SHPE; Spatial Risk
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/185608
作者单位	Department of Civil Engineering, City University of New York (City College), New York, NY, United States; Center for Water Resources and Environmental Research, City University of New York, New York, NY, United States; NOAA/Center for Earth System Sciences and Remote Sensing Technologies (CESSRST), City University of New York, New York, NY, United States; Now at Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, United States; Department of Earth and Atmospheric Sciences, City University of New York (City College), New York, NY, United States; Program in Earth and Environmental Sciences, Graduate Center, City University of New York, New York, NY, United States
推荐引用方式 GB/T 7714	Najibi N.,Mazor A.,Devineni N.,et al. Understanding the Spatial Organization of Simultaneous Heavy Precipitation Events Over the Conterminous United States[J],2020,125(23).
APA	Najibi N.,Mazor A.,Devineni N.,Mossel C.,&Booth J.F..(2020).Understanding the Spatial Organization of Simultaneous Heavy Precipitation Events Over the Conterminous United States.Journal of Geophysical Research: Atmospheres,125(23).
MLA	Najibi N.,et al."Understanding the Spatial Organization of Simultaneous Heavy Precipitation Events Over the Conterminous United States".Journal of Geophysical Research: Atmospheres 125.23(2020).