Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Identification of symmetric and asymmetric responses in seasonal streamflow globally to Enso phase

Bibliographic Data

ID15548600
AuthorsDonghoon Lee (0000-0002-4044-9959, University of Wisconsin–Madison), Philip J Ward (0000-0001-7702-7859, Vrije Universiteit Amsterdam), Paul Block (0000-0003-1993-7496, University of Wisconsin–Madison, corresponding author)
Year2018
Volume13
Issue4
Pages044031-044031
Publication date2018-03-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/aab4ca
OpenAlexW2790407103
LanguageEN
Citations received1
References cited61

The phase of the El Niño Southern Oscillation (ENSO) has large-ranging effects on streamflow and hydrologic conditions globally. While many studies have evaluated this relationship through correlation analysis between annual streamflow and ENSO indices, an assessment of potential asymmetric relationships between ENSO and streamflow is lacking. Here, we evaluate seasonal variations in streamflow by ENSO phase to identify asymmetric (AR) and symmetric (SR) spatial pattern responses globally and further corroborate with local precipitation and hydrological condition. The AR and SR patterns between seasonal precipitation and streamflow are identified at many locations for the first time. Our results identify strong SR patterns in particular regions including northwestern and southern US, northeastern and southeastern South America, northeastern and southern Africa, southwestern Europe, and central-south Russia. The seasonally lagged anomalous streamflow patterns are also identified and attributed to snowmelt, soil moisture, and/or cumulative hydrological processes across river basins. These findings may be useful in water resources management and natural hazards planning by better characterizing the propensity of flood or drought conditions by ENSO phase

Climatology · Drainage basin · El Niño Southern Oscillation · Flood forecasting · Flood myth · Geography · Meteorology · Precipitation · Snow · Snowmelt · Streamflow · Climate variability and models · Environmental Science · Hydrology and Drought Analysis · Hydrology and Watershed Management Studies · Geology

  • Seasonal hydroclimatic ensemble forecasts anticipate nutrient and suspended sediment loads using a dynamical-statistical approach

    Open Access•Sanjib Sharma, Heather E Gall et al.•Environmental Research Letters•2019

  • An Introduction to the Bootstrap

    Open Access•Bradley Efron, Robert J Tibshirani et al.•An Introduction to the Bootstrap•1993

  • The ERA‐40 re‐analysis

    Open Access•S M Uppala, S Uppala et al.•Quarterly Journal of the Royal…•2005

  • Enso as an Integrating Concept in Earth Science

    Open Access•Michael J McPhaden, Stephen E Zebiak et al.•Science•2006

  • High‐resolution mapping of the world's reservoirs and dams for sustainable river‐flow management

    Open Access•Bernhard Lehner, Catherine Reidy Liermann et al.•Frontiers in Ecology and the…•2011

  • Mapping the locations of asymmetric and symmetric discharge responses in global rivers to the two types of El Niño

    Open Access•Yu‐Chiao Liang, C J Chou et al.•Environmental Research Letters•2016

  • Parabolic northern-hemisphere river flow teleconnections to El Niño-Southern Oscillation and the Arctic Oscillation

    Open Access•Sean W Fleming, Helen E Dahlke•Environmental Research Letters•2014

  • Assessing flood risk at the global scale

    Open Access•Philip J Ward, Brenden Jongman et al.•Environmental Research Letters•2013

Unique citing works1
Citations per year0,14
Citation span2019 - 2019 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

Tools

Open DOISci-HubOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae