Assessing the expression of large-scale climatic fluctuations in the hydrological variability of daily Seine river flow (France) between 1950 and 2008 using Hilbert–Huang Transform

International audience Daily Seine river flow variability from 1950 to 2008 was analyzed and compared to the winter-months North-Atlantic Oscillation (NAO) using Hilbert–Huang Transform (HHT). For the last 10 years, HHT has proven its efficiency for the analysis of transient oscillatory signals. HHT...

Full description

Bibliographic Details
Published in:Journal of Hydrology
Main Authors: Massei, Nicolas, Fournier, Matthieu
Other Authors: Morphodynamique Continentale et Côtière (M2C), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2012
Subjects:
Online Access:https://hal.science/hal-02327398
https://hal.science/hal-02327398/document
https://hal.science/hal-02327398/file/Massei2012.pdf
https://doi.org/10.1016/j.jhydrol.2012.04.052
Description
Summary:International audience Daily Seine river flow variability from 1950 to 2008 was analyzed and compared to the winter-months North-Atlantic Oscillation (NAO) using Hilbert–Huang Transform (HHT). For the last 10 years, HHT has proven its efficiency for the analysis of transient oscillatory signals. HHT provides an interesting alternative to other techniques for time-frequency or time scale analysis of non-stationary signals. In this study we aimed at delineating the different components characterizing daily flow of the Seine river, on the short-term, intra-seasonal, annual and interannual time scales and eventually interpret them in the context of regional North-Atlantic climate regime fluctuations. HHT results highlighted the existence of similar scales of variability beard by internal components of each NAO or river flow signal at interannual scales. Hypotheses on a possible link between the Madden–Julian Oscillation pattern and intra-seasonal variability of river flow could be also proposed, which would highlight linkages between river flow variability and global climate oscillations. Finally, all oscillating components were found to increase in amplitude in both climatic and hydrological signals in the end of the 1950–2008 period of study, with a first step in the late 1960s–early 1970s and a second step in the early 1990s, which demonstrated the capabilities of HHT to handle non-stationarity of natural processes and to help interpreting hydrological variability in a context of climate changes.