2017
DOI: 10.1016/j.gr.2017.05.013
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Wavelet-based variability of Yellow River discharge at 500-, 100-, and 50-year timescales

Abstract: Highlights for reviews [a maximum of 85 characters, including spaces, per highlight] 13(1) Spatial and temporal variabilities of streamflow in the YR are investigated. 14 (2) Periodic changes of the streamflow are identified at 500-, 100-, and 50-year timescales. 15 (3) Periodicities are continuous at spatial scale and short timescales. 16 (4) Strong connection with the Niño 3.4, the AO, and sunspots. 17 18 2 Abstract: Water scarcity in the Yellow River, China, has become increasingly severe over the past 19 h… Show more

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Cited by 28 publications
(16 citation statements)
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References 82 publications
(12 reference statements)
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“…Wavelet transform coherence was used to detect the existence of co-varying relationships between hydrometeorological factors and their potential drivers and quantify the degree of linear relatedness (Christopher Torrence, 1998;Jevrejeva et al, 2003;Cazelles et al, 2008;Keener et al, 2010;Su et al, 2017). WTC was used to discover relationships between low common power spectra of two time series (Wang et al, 2019a) (Text S1).…”
Section: Wavelet Transform Coherence (Wtc)mentioning
confidence: 99%
“…Wavelet transform coherence was used to detect the existence of co-varying relationships between hydrometeorological factors and their potential drivers and quantify the degree of linear relatedness (Christopher Torrence, 1998;Jevrejeva et al, 2003;Cazelles et al, 2008;Keener et al, 2010;Su et al, 2017). WTC was used to discover relationships between low common power spectra of two time series (Wang et al, 2019a) (Text S1).…”
Section: Wavelet Transform Coherence (Wtc)mentioning
confidence: 99%
“…Unlike most Following the data pre-processing steps, a CWT was applied to quantify the time-averaged frequency spectra of the rainfall, PET and groundwater datasets. The CWT has been used to assess long term trends and periodicities in many hydrological datasets including rainfall (Rashid et al 2015), river flow (Su et al 2017), and groundwater (Holman et al 2011;Kuss & Gurdak 2014). We use the package "WaveletComp" produced by Rosch & Schmidbauer (2018) for all transformations in this paper.…”
Section: Data Pre-processingmentioning
confidence: 99%
“…As such, the NAO has been shown to drive hydrological variability in Europe, including river flow (Kingston et al, 2011;Svensson et al, 2015) and groundwater systems (Rust et al, 2019;Neves et al, 2019;Holman et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…The aim of this paper is to assess the extent to which NAO-like multi-annual signals are propagated from rainfall to streamflow across the UK and to assess how this is modulated by the relative contribution of faster and slower hydrological pathways. We define NAO-like as those multi-annual cycles in hydrometeorological records that cover a wide spatial domain and are similar in length to the 6-9 year periodicity reported in the NAO, which we might expect given the control between the NAO and hydrological systems (Svensson et al, 2015). This aim will be met by addressing the following research objectives:…”
Section: Introductionmentioning
confidence: 99%