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DOI | 10.1175/JCLI-D-19-0415.1 |
Climatology and interannual variability of floods during the TRMM era (1998–2013) | |
Yan Y.; Wu H.; Gu G.; Huang Z.; Alfieri L.; Li X.; Nanding N.; Pan X.; Tang Q. | |
发表日期 | 2020 |
ISSN | 0894-8755 |
起始页码 | 3289 |
结束页码 | 3305 |
卷号 | 33期号:8 |
英文摘要 | Spatial and temporal variations of global floods during the TRMM period (1998–2013) are explored by means of the outputs of the Dominant River Routing Integrated with VIC Environment model (DRIVE) driven by the precipitation rates from the TRMM Multisatellite Precipitation Analysis (TMPA). Climatological and seasonal mean features of floods including frequency (FF), duration (FD), and mean and total intensity (FI and FTI) are examined and further compared to those for a variety of precipitation indices derived from the daily TMPA rain rates. In general, floods and precipitation manifest similar spatial distributions, confirming that more precipitation (both amount and frequency) often indicates higher probability of floods. However, different flood indices can be associated with different precipitation characteristics with a highly region-dependent distribution. FF and FD tend to be more related to daily precipitation frequency globally, especially the mid- to high-end precipitation frequencies (F10, F25, F50). However, FI and FTI tend to be more associated with the mean volume/magnitude of those (extreme) daily precipitation events (Pr10 and Pr25). Nonetheless, daily precipitation intensity except the very high end one (R50) generally has a relatively weak effect on floods. The precipitation–flood relations at the 10 large regions are further examined, providing an improved understanding of precipitation-related flood-generating mechanisms in different locations. On the interannual time scale, El Niño–Southern Oscillation (ENSO) can significantly affect floods in many flood-prone zones. However, it is noted that even though the ENSO effect on floods is mostly through modulating various aspects of precipitation events, significant ENSO signals in precipitation cannot always translate to an effective, simultaneous impact on floods. © 2020 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy |
英文关键词 | Atmospheric pressure; Climatology; Finite difference method; Floods; Probability distributions; Environment modeling; Generating mechanism; Interannual time scale; Interannual variability; Precipitation characteristics; Precipitation frequency; Precipitation indices; Spatial and temporal variation; Rain; annual variation; climatology; El Nino-Southern Oscillation; flooding; hydrological modeling; precipitation intensity; spatial distribution; TRMM |
语种 | 英语 |
来源期刊 | Journal of Climate
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/171366 |
作者单位 | Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangdong, China; Southern Marine Science and Engineering Laboratory (Zhuhai), Guangdong, China; Earth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, MD, United States; European Commission, Joint Research Centre, Ispra, Italy; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China |
推荐引用方式 GB/T 7714 | Yan Y.,Wu H.,Gu G.,等. Climatology and interannual variability of floods during the TRMM era (1998–2013)[J],2020,33(8). |
APA | Yan Y..,Wu H..,Gu G..,Huang Z..,Alfieri L..,...&Tang Q..(2020).Climatology and interannual variability of floods during the TRMM era (1998–2013).Journal of Climate,33(8). |
MLA | Yan Y.,et al."Climatology and interannual variability of floods during the TRMM era (1998–2013)".Journal of Climate 33.8(2020). |
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