GSTDTAP  > 资源环境科学
DOI10.1002/2016WR020097
How are streamflow responses to the El Nino Southern Oscillation affected by watershed characteristics?
Rice, Joshua S.; Emanuel, Ryan E.
2017-05-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2017
卷号53期号:5
文章类型Article
语种英语
国家USA
英文摘要

Understanding the factors that influence how global climate phenomena, such as the El-Nino Southern Oscillation (ENSO), affect streamflow behavior is an important area of research in the hydrologic sciences. While large-scale patterns in ENSO-streamflow relationships have been thoroughly studied, and are relatively well-understood, information is scarce concerning factors that affect variation in ENSO responses from one watershed to another. To this end, we examined relationships between variability in ENSO activity and streamflow for 2731 watersheds across the conterminous U.S. from 1970 to 2014 using a novel approach to account for the intermediary role of precipitation. We applied an ensemble of regression techniques to describe relationships between variability in ENSO activity and streamflow as a function of watershed characteristics including: hydroclimate, topography, geomorphology, geographic location, land cover, soil characteristics, bedrock geology, and anthropogenic influences. We found that variability in watershed scale ENSO-streamflow relationships was strongly related to factors including: precipitation timing and phase, forest cover, and interactions between watershed topography and geomorphology. These, and other influential factors, share in common the ability to affect the partitioning and movement of water within watersheds. Our results demonstrate that the conceptualization of watersheds as signal filters for hydroclimate inputs, commonly applied to short-term rainfall-runoff responses, also applies to long-term hydrologic responses to sources of recurrent climate variability. These results also show that watershed processes, which are typically studied at relatively fine spatial scales, are also critical for understanding continental scale hydrologic responses to global climate.


英文关键词watershed machine learning ENSO climate
领域资源环境
收录类别SCI-E
WOS记录号WOS:000403712100051
WOS关键词CONTERMINOUS UNITED-STATES ; HYDROLOGIC RESPONSE ; BLOCK BOOTSTRAP ; FLOW REGULATION ; CONTINENTAL US ; RIVER SYSTEMS ; PRECIPITATION ; VARIABILITY ; PACIFIC ; TRENDS
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
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/20467
专题资源环境科学
作者单位North Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 USA
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GB/T 7714
Rice, Joshua S.,Emanuel, Ryan E.. How are streamflow responses to the El Nino Southern Oscillation affected by watershed characteristics?[J]. WATER RESOURCES RESEARCH,2017,53(5).
APA Rice, Joshua S.,&Emanuel, Ryan E..(2017).How are streamflow responses to the El Nino Southern Oscillation affected by watershed characteristics?.WATER RESOURCES RESEARCH,53(5).
MLA Rice, Joshua S.,et al."How are streamflow responses to the El Nino Southern Oscillation affected by watershed characteristics?".WATER RESOURCES RESEARCH 53.5(2017).
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