2017
DOI: 10.1016/j.jhydrol.2017.01.008
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Multi-time-scale hydroclimate dynamics of a regional watershed and links to large-scale atmospheric circulation: Application to the Seine river catchment, France

Abstract: Multi-time-scale hydroclimate dynamics of a regional watershed and links to large-scale atmospheric circulation Massei, N.; Dieppois, B.; Hannah, D. M.; Lavers, D. A.; Fossa, M.; Laignel, B.; Debret, M.

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Cited by 42 publications
(48 citation statements)
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References 50 publications
(44 reference statements)
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“…For a comprehensive characterisation of climate and hydrology oscillatory relationships, multi‐resolution statistical techniques (e.g., wavelet‐based methods) are particularly well suited: these enable investigation of climate‐hydrology relationships across a full range of the time‐series spectra (Anctil & Coulibaly, ; Labat, Godderis, Probst, & Guyot, ). Investigating time‐series relationships in this way can reveal the temporal variability in the strength of large‐scale relationships (Dieppois, Durand, Fournier, & Massei, ) or their time‐scale dependence (Massei et al, ), whereas linear correlation omits such specificity (Kingston, Webster, & Sirguey, ).…”
Section: Scale Matters: Interactions Across Space and Timementioning
confidence: 99%
“…For a comprehensive characterisation of climate and hydrology oscillatory relationships, multi‐resolution statistical techniques (e.g., wavelet‐based methods) are particularly well suited: these enable investigation of climate‐hydrology relationships across a full range of the time‐series spectra (Anctil & Coulibaly, ; Labat, Godderis, Probst, & Guyot, ). Investigating time‐series relationships in this way can reveal the temporal variability in the strength of large‐scale relationships (Dieppois, Durand, Fournier, & Massei, ) or their time‐scale dependence (Massei et al, ), whereas linear correlation omits such specificity (Kingston, Webster, & Sirguey, ).…”
Section: Scale Matters: Interactions Across Space and Timementioning
confidence: 99%
“…The approach was based on that proposed by Massei et al (2017). First, the hydrological time series were decomposed as the superposition of large‐scale climate field time series and a local field using wavelet multiresolution analysis.…”
Section: New Findings and Achievementsmentioning
confidence: 99%
“…Alternatively, composite analysis of such gridded data sets may be used, based on a threshold of high or low values for some aspect of hydrological variation (e.g. river flow - Kingston et al, 2016a;precipitation -Lavers et al, 2013 andMassei et al, 2017). Such studies often focus on defined modes of coupled ocean-atmospheric circulation variation, such as the Atlantic Multidecadal Oscillation (AMO), North Atlantic Oscillation (NAO) and El Nino Southern Oscillation (ENSO), and at monthly or seasonal .…”
Section: Atmospheric Circulation-based Analysesmentioning
confidence: 99%