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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 15, issue 6
Atmos. Chem. Phys., 15, 3193–3204, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 15, 3193–3204, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 20 Mar 2015

Research article | 20 Mar 2015

Interannual variability of isotopic composition in water vapor over western Africa and its relationship to ENSO

A. Okazaki1, Y. Satoh1, G. Tremoy2, F. Vimeux2,3, R. Scheepmaker4, and K. Yoshimura1,5 A. Okazaki et al.
  • 1Institute of Industrial Science, University of Tokyo, Tokyo, Japan
  • 2Laboratoire des Sciences du Climat et de l'Environnement, UMR8212, Institut Pierre Simon Laplace, CEA-CNRS-UVSQ, Gif-sur-Yvette, France
  • 3Laboratoire HydroSciences Montpellier, UMR 5569, Institut de Recherche pour le Développement, CNRS-IRD-UM1-UM2, Montpellier, France
  • 4SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
  • 5Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Japan

Abstract. This study was performed to examine the relationship between isotopic composition in near-surface vapor (δ18Ov) over western Africa during the monsoon season and El Niño–Southern Oscillation (ENSO) activity using the Isotope-incorporated Global Spectral Model. The model was evaluated using a satellite and in situ observations at daily to interannual timescales. The model provided an accurate simulation of the spatial pattern and seasonal and interannual variations of isotopic composition in column and surface vapor and precipitation over western Africa. Encouraged by this result, we conducted a simulation stretching 34 years (1979–2012) to investigate the relationship between atmospheric environment and isotopic signature on an interannual timescale. The simulation indicated that the depletion in the monsoon season does not appear every year at Niamey. The major difference between the composite fields with and without depletion was in the amount of precipitation in the upstream area of Niamey. As the interannual variation of the precipitation amount is influenced by the ENSO, we regressed the monsoon season averaged δ18Ov from the model and annually averaged NINO3 index and found a statistically significant correlation (R = 0.56, P < 0.01) at Niamey. This relationship suggests that there is a possibility of reconstructing past western African monsoon activity and ENSO using climate proxies.

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