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Soil moisture memory and West African monsoon predictability: artefact or reality?

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Abstract

Besides sea surface temperature (SST), soil moisture (SM) exhibits a significant memory and is likely to contribute to atmospheric predictability at the seasonal timescale. In this respect, West Africa was recently highlighted as a “hot spot” where the land–atmosphere coupling could play an important role, through the recycling of precipitation and the modulation of the meridional gradient of moist static energy. Particularly intriguing is the observed relationship between summer monsoon rainfall over Sahel and the previous second rainy season over the Guinean Coast, suggesting the possibility of a soil moisture memory beyond the seasonal timescale. The present study is aimed at revisiting this question through a detailed analysis of the instrumental record and a set of numerical sensitivity experiments. Three ensembles of global atmospheric simulations have been designed to assess the relative influence of SST and SM boundary conditions on the West African monsoon predictability over the 1986–1995 period. On the one hand, the results indicate that SM contributes to rainfall predictability at the end and just after the rainy season over the Sahel, through a positive soil-precipitation feedback that is consistent with the “hot spot” hypothesis. On the other hand, SM memory decreases very rapidly during the dry season and does not contribute to the predictability of the all-summer monsoon rainfall. Though possibly model dependent, this conclusion is reinforced by the statistical analysis of the summer monsoon rainfall variability over the Sahel and its link with tropical SSTs. Our results indeed suggest that the apparent relationship with the previous second rainy season over the Guinean Coast is mainly an artefact of rainfall teleconnections with tropical modes of SST variability both at interannual and multi-decadal timescales.

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Acknowledgments

This work has been supported by the European Commission Sixth Framework Program (ENSEMBLES contract GOCE-CT-2003-505539) and by the African monsoon multidisciplinary analysis (AMMA) project. Based on a French initiative, AMMA was built by an international scientific group and is currently funded by a large number of agencies, especially from France, UK, USA and Africa. It has also been the beneficiary of a major financial contribution from the European commission sixth framework program. Detailed information on scientific coordination and funding is available at http://www.amma-international.org. The EOF and MCA analyses have been performed using the Statpack statistics software developed by Pascal Terray and most figures have been prepared using the GrADS graphics software. Thanks are also due to Nathalie Philippon and Aaron Boone, as well as to Huqiang Zhang and an anonymous reviewer, for their comments on the original manuscript.

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  1. CNRM/GMGEC/UDC, 42 av. G. Coriolis, Toulouse Cedex 1, 31057, France

    H. Douville, S. Conil, S. Tyteca & A. Voldoire

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  1. H. Douville
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  2. S. Conil
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  3. S. Tyteca
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  4. A. Voldoire
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Correspondence to H. Douville.

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Douville, H., Conil, S., Tyteca, S. et al. Soil moisture memory and West African monsoon predictability: artefact or reality?. Clim Dyn 28, 723–742 (2007). https://doi.org/10.1007/s00382-006-0207-8

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  • DOI: https://doi.org/10.1007/s00382-006-0207-8

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