Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019JD030449 |
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 |
ISSN | 2169-897X |
EISSN | 2169-8996 |
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 |
推荐引用方式 GB/T 7714 | 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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