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DOI10.1029/2018GL077914
Global Estimates of River Flow Wave Travel Times and Implications for Low-Latency Satellite Data
Allen, George H.1; David, Cedric H.1; Andreadis, Konstantinos M.1; Hossain, Faisal2; Famiglietti, James S.1
2018-08-16
发表期刊GEOPHYSICAL RESEARCH LETTERS
ISSN0094-8276
EISSN1944-8007
出版年2018
卷号45期号:15页码:7551-7560
文章类型Article
语种英语
国家USA
英文摘要

Earth-orbiting satellites provide valuable observations of upstream river conditions worldwide. These observations can be used in real-time applications like early flood warning systems and reservoir operations, provided they are made available to users with sufficient lead time. Yet the temporal requirements for access to satellite-based river data remain uncharacterized for time-sensitive applications. Here we present a global approximation of flow wave travel time to assess the utility of existing and future low-latency/near-real-time satellite products, with an emphasis on the forthcoming SWOT satellite mission. We apply a kinematic wave model to a global hydrography data set and find that global flow waves traveling at their maximum speed take a median travel time of 6, 4, and 3 days to reach their basin terminus, the next downstream city, and the next downstream dam, respectively. Our findings suggest that a recently proposed <= 2-day data latency for a low-latency SWOT product is potentially useful for real-time river applications.


Plain Language Summary Satellites can provide upstream conditions for early flood warning systems, reservoir operations, and other river management applications. This information is most useful for time-sensitive applications if it is made available before an observed upstream flood reaches a downstream point of interest, like a basin outlet, city, or dam. Here we characterize the time it takes floods to travel down Earth's rivers in an effort to assess the time required for satellite data to be downloaded, processed, and made accessible to users. We find that making satellite data available within a recently proposed <= 2-day time period will make the data potentially useful for flood mitigation and other water management applications.


英文关键词celerity flood wave data latency early flood warning systems SWOT
领域气候变化
收录类别SCI-E
WOS记录号WOS:000443129500036
WOS关键词EARTH OBSERVATION ; ROUTING MODELS ; AMAZON BASIN ; DISCHARGE ; SPEED ; PROPAGATION ; HYDROLOGY ; ALTIMETRY ; MISSION ; SCHEME
WOS类目Geosciences, Multidisciplinary
WOS研究方向Geology
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/26755
专题气候变化
作者单位1.CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91125 USA;
2.Univ Washington, Dept Civil & Environm Engn, Seattle, WA 98195 USA
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GB/T 7714
Allen, George H.,David, Cedric H.,Andreadis, Konstantinos M.,et al. Global Estimates of River Flow Wave Travel Times and Implications for Low-Latency Satellite Data[J]. GEOPHYSICAL RESEARCH LETTERS,2018,45(15):7551-7560.
APA Allen, George H.,David, Cedric H.,Andreadis, Konstantinos M.,Hossain, Faisal,&Famiglietti, James S..(2018).Global Estimates of River Flow Wave Travel Times and Implications for Low-Latency Satellite Data.GEOPHYSICAL RESEARCH LETTERS,45(15),7551-7560.
MLA Allen, George H.,et al."Global Estimates of River Flow Wave Travel Times and Implications for Low-Latency Satellite Data".GEOPHYSICAL RESEARCH LETTERS 45.15(2018):7551-7560.
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