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Trend and variability in a new, reconstructed streamflow dataset for West and Central Africa, and climatic interactions, 1950 – 2005

  • Moussa Sidibe
  • , Bastien Dieppois
  • , Gil Mahé
  • , Jean-Emmanuel Paturel
  • , Ernest Amoussou
  • , Babatunde Anifowose
  • , Damian Lawler
    • HydroSciences (HSM)
    • Université de Parakou

    Research output: Contribution to journalArticlepeer-review

    217 Downloads (Pure)

    Abstract

    Over recent decades, regions of West and Central Africa have experienced different and significant changes in climatic patterns, which have significantly impacted hydrological regimes. Such impacts, however, are not fully understood at the regional scale, largely because of scarce hydroclimatic data. Therefore, the aim of this study is to (a) assemble a new, robust, reconstructed streamflow dataset of 152 gauging stations; (b) quantify changes in streamflow over 1950 – 2005 period, using these newly reconstructed datasets; (c) significantly reveal trends and variability in streamflow over West and Central Africa based on new reconstructions; and (d) assess the robustness of this dataset by comparing the results with those identified in key climatic drivers (e.g. precipitation and temperature) over the region. Gap filling methods applied to monthly time series (1950-2005) yielded robust results (median Kling-Gupta Efficiency >0.75). The study underlines a good agreement between precipitation and streamflow trends and reveals contrasts between western Africa (negative trends) and Central Africa (positive trends) in the 1950s and 1960s. Homogenous dry conditions of the 1970s and 1980s, characterized by reduced significant negative trends resulting from quasi-decadal modulations of the trend, are replaced by wetter conditions in the recent period (1993-2005). The effect of this rainfall recovery (which extends to West and Central Africa) on increased river flows are further amplified by land use change in some Sahelian basins. This is partially offset, however, by higher potential evapotranspiration rates over parts of Niger and Nigeria. Crucially, the new reconstructed streamflow datasets presented here will be available for both the scientific community and water resource managers.
    Original languageEnglish
    Pages (from-to)478-493
    Number of pages16
    JournalJournal of Hydrology
    Volume561
    Early online date10 Apr 2018
    DOIs
    Publication statusPublished - Jun 2018

    Bibliographical note

    NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Hydrology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Hydrology, [(in press), (2018)] DOI: 10.1016/j.jhydrol.2018.04.024

    © 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 15 - Life on Land
      SDG 15 Life on Land

    Keywords

    • West and Central Africa
    • Streamflow trend and variability
    • Hydroclimate variability
    • Multi-temporal trend identification
    • Gap filling methods

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