GSTDTAP  > 气候变化
DOI10.1029/2019JD030449
A Spatial-Temporal Extreme Precipitation Database from GPM IMERG
Zhou, Yaping1,2; Nelson, Kevin3; Mohr, Karen I.4; Huffman, George J.5; Levy, Robert1; Grecu, Mircea2,5
2019-10-15
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2019
文章类型Article;Early Access
语种英语
国家USA
英文摘要

Extreme precipitation events (EPEs) have the potential to create catastrophic flooding, landslides, and infrastructure damage. We diagnose the spatial and temporal characteristics of EPEs by using the Integrated Multi-SatellitE Retrievals for Global Precipitation Measurement mission (GPM; IMERG) precipitation estimates to construct spatial-temporal (xy-t) EPEs that depict both the spatial extent and temporal evolution of precipitation systems. EPEs were constructed using a recursive-fractal approach to classify the precipitating grids across space and time as belonging to the same system, thus identifying events. This classification enables the accurate depiction of duration, areal coverage, total volume, and propagation of each EPE over its entire life cycle. Results from 4 years of IMERG statistics over the contiguous United States show that the most frequent EPEs have duration between 3 and 6 hr, an affected area of 10(3)-5 x 10(4) km(2), and a total precipitation volume of 10(6)-10(8) m(3). Spatially, EPEs occur most frequently in the northwest and northeast in the winter and spring and the southwest and southeast in summer. Fall has the least number of EPEs, and summer exhibits some of the heaviest and largest precipitation events. The diurnal cycle in frequency and precipitation volume is most prominent in summer, weaker in spring and fall, and is not discernible in winter, especially for events lasting fewer than 6 hr. The event propagation speeds indicate the influence of large-scale circulations as winter events tend to move faster than those in the other seasons.


英文关键词Extreme precipitation event climate IMERG CONUS
领域气候变化
收录类别SCI-E
WOS记录号WOS:000490084000001
WOS关键词OBJECT-BASED ANALYSIS ; INTENSE PRECIPITATION ; RAINFALL ; FREQUENCY ; DURATION ; EVENTS ; TEMPERATURE ; TRENDS ; VERIFICATION ; PATTERNS
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/187674
专题气候变化
作者单位1.NASA, Goddard Space Flight Ctr, Climate & Radiat Lab, Greenbelt, MD 20771 USA;
2.Morgan State Univ, Goddard Earth Sci Technol & Res, Baltimore, MD 21239 USA;
3.Texas A&M Univ, Dept Phys & Environm Sci, Corpus Christi, TX USA;
4.NASA, Goddard Space Flight Ctr, Earth Sci Div Atmospheres, Greenbelt, MD USA;
5.NASA, Goddard Space Flight Ctr, Mesoscale Atmospher Proc Lab, Greenbelt, MD USA
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Zhou, Yaping,Nelson, Kevin,Mohr, Karen I.,et al. A Spatial-Temporal Extreme Precipitation Database from GPM IMERG[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019.
APA Zhou, Yaping,Nelson, Kevin,Mohr, Karen I.,Huffman, George J.,Levy, Robert,&Grecu, Mircea.(2019).A Spatial-Temporal Extreme Precipitation Database from GPM IMERG.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES.
MLA Zhou, Yaping,et al."A Spatial-Temporal Extreme Precipitation Database from GPM IMERG".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2019).
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