Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016WR020097 |
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
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
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 |
推荐引用方式 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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