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DOI | 10.1175/JCLI-D-17-0105.1 |
Temporal-Spatial Monitoring of an Extreme Precipitation Event: Determining Simultaneously the Time Period It Lasts and the Geographic Region It Affects | |
Lu, Er1,2,3; Zhao, Wei1,2,3; Zou, Xukai4; Ye, Dianxiu4; Zhao, Chunyu5; Zhang, Qiang4 | |
2017-08-01 | |
发表期刊 | JOURNAL OF CLIMATE
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2017 |
卷号 | 30期号:16 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | A method is developed in this study to monitor and detect extreme precipitation events. For a rainfall event to be severe, it should last for a long period and affect a wide region while maintaining a strong intensity. However, if the duration is inappropriately taken as too long and the region is inappropriately taken as too wide, then the averaged intensity might be too weak. There should be a balance among the three quantities. Based upon understanding of the issue, the authors proposed a simple mathematical model, which contains two reasonable constraints. The relation of the "extreme'' intensity with both duration and region (EIDR) is derived. With the prescribed baseline extreme intensities, the authors calculate the relative intensities with the data. Through comparison among different time periods and spatial sizes, one can identify the event that is most extreme, with its starting time, duration, and geographic region being determined. Procedures for monitoring the extreme event are provided. As an example, the extreme event contained in the 1991 persistent heavy rainfall over east China is detected. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000406040200004 |
WOS关键词 | CENTRAL UNITED-STATES ; HIGHER TEMPERATURES ; CHANGING FREQUENCY ; CLIMATE EVENTS ; CONVEX HULLS ; TRENDS ; HEAVY ; VARIABILITY ; INTENSITY ; ALGORITHM |
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/20647 |
专题 | 气候变化 |
作者单位 | 1.Nanjing Univ Informat Sci & Technol, Key Lab Meteorol Disaster, Minist Educ, Nanjing, Jiangsu, Peoples R China; 2.Nanjing Univ Informat Sci & Technol, Joint Int Res Lab Climate & Environm Change, Nanjing, Jiangsu, Peoples R China; 3.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing, Jiangsu, Peoples R China; 4.CMA, Natl Climate Ctr, Beijing, Peoples R China; 5.Shenyang Reg Climate Ctr, Shenyang, Liaoning, Peoples R China |
推荐引用方式 GB/T 7714 | Lu, Er,Zhao, Wei,Zou, Xukai,et al. Temporal-Spatial Monitoring of an Extreme Precipitation Event: Determining Simultaneously the Time Period It Lasts and the Geographic Region It Affects[J]. JOURNAL OF CLIMATE,2017,30(16). |
APA | Lu, Er,Zhao, Wei,Zou, Xukai,Ye, Dianxiu,Zhao, Chunyu,&Zhang, Qiang.(2017).Temporal-Spatial Monitoring of an Extreme Precipitation Event: Determining Simultaneously the Time Period It Lasts and the Geographic Region It Affects.JOURNAL OF CLIMATE,30(16). |
MLA | Lu, Er,et al."Temporal-Spatial Monitoring of an Extreme Precipitation Event: Determining Simultaneously the Time Period It Lasts and the Geographic Region It Affects".JOURNAL OF CLIMATE 30.16(2017). |
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