A conceptual model for understanding rainfall variability in the West African Sahel on interannual and interdecadal timescales

2001 ◽  
Vol 21 (14) ◽  
pp. 1733-1757 ◽  
Author(s):  
S.E. Nicholson ◽  
J.P. Grist
Keyword(s):  
Conceptual Model ◽  
Rainfall Variability ◽  
West African ◽  
The West ◽  
West African Sahel ◽  
African Sahel

scholarly journals Woody Vegetation Die off and Regeneration in Response to Rainfall Variability in the West African Sahel

2017 ◽  
Vol 9 (1) ◽  
pp. 39 ◽  
Author(s):  
Martin Brandt ◽  
Gray Tappan ◽  
Abdoul Diouf ◽  
Gora Beye ◽  
Cheikh Mbow ◽  
...  
Keyword(s):  
Rainfall Variability ◽  
West African ◽  
Woody Vegetation ◽  
The West ◽  
West African Sahel ◽  
African Sahel

scholarly journals Rainfall Variability and Trend Analysis of Rainfall in West Africa (Senegal, Mauritania, Burkina Faso)

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1754 ◽  
Author(s):  
Zeineddine Nouaceur ◽  
Ovidiu Murarescu
Keyword(s):  
Burkina Faso ◽  
Moisture Transfer ◽  
Rainfall Variability ◽  
West African Monsoon ◽  
West African ◽  
The West ◽  
The North ◽  
Continuous Wavelets ◽  
West African Sahel ◽  
African Sahel

This study concerns the West African Sahel. The Sahelian climate is characterized by a long dry season and a rainy season which starts in June and ends in September–October. This latter season is associated with the process of oceanic moisture transfer to the mainland (the West African Monsoon). This movement is governed by an overall moving of the meteorological equator and its low-pressure corridor (Intertropical Convergence Zone, ITCZ) towards the north, under the effect of the attraction of the Saharan thermal depressions and a greater vigor of the anticyclonic nuclei. This study was conducted on 27 Sahelian climatic stations in three countries (Burkina Faso, Mauritania, and Senegal). The method used to determine the modes of this variability and the trends of rainfall is the chronological graphic method of information processing (MGCTI) of the “Bertin Matrix” and continuous wavelets transform (CWT). Results show a rain resumption observed in the recent years over the Sahelian region and a convincing link with the surface temperature of the Atlantic Ocean.

scholarly journals Pearl millet and iron in the West African Sahel: Archaeobotanical investigation at Tongo Maaré Diabal, Mali

2021 ◽  
Vol 39 ◽  
pp. 103110
Author(s):  
L. Champion ◽  
N. Gestrich ◽  
K. MacDonald ◽  
L. Nieblas-Ramirez ◽  
D.Q. Fuller
Keyword(s):  
Pearl Millet ◽  
West African ◽  
The West ◽  
West African Sahel ◽  
African Sahel

scholarly journals Vulnerability to stunting in the West African Sahel

Food Policy ◽  
2019 ◽  
Vol 83 ◽  
pp. 39-47
Author(s):  
Federica Alfani ◽  
Andrew Dabalen ◽  
Peter Fisker ◽  
Vasco Molini
Keyword(s):  
West African ◽  
The West ◽  
West African Sahel ◽  
African Sahel

Long-term fertility experiments for irrigated rice in the West African Sahel: effect on soil characteristics

2004 ◽  
Vol 85 (1) ◽  
pp. 61-77 ◽  
Author(s):  
S.M. Haefele ◽  
M.C.S. Wopereis ◽  
A.-M. Schloebohm ◽  
H. Wiechmann
Keyword(s):  
Soil Characteristics ◽  
West African ◽  
The West ◽  
Irrigated Rice ◽  
West African Sahel ◽  
African Sahel

scholarly journals A synthetic view of rainfall intensification in the West African Sahel

2022 ◽  
Author(s):  
Guillaume Chagnaud ◽  
Geremy Panthou ◽  
Theo Vischel ◽  
Thierry Lebel
Keyword(s):  
Decadal Variability ◽  
Regional Scale ◽  
Daily Rainfall ◽  
Extreme Value Distribution ◽  
Extreme Rainfall ◽  
West African ◽  
Rainfall Regime ◽  
The West ◽  
West African Sahel ◽  
African Sahel

Abstract The West African Sahel has been facing for more than 30 years an increase in extreme rainfalls with strong socio-economic impacts. This situation challenges decision-makers to define adaptation strategies in a rapidly changing climate. The present study proposes (i) a quantitative characterization of the trends in extreme rainfalls at the regional scale, (ii) the translation of the trends into metrics that can be used by hydrological risk managers, (iii) elements for understanding the link between the climatology of extreme and mean rainfall. Based on a regional non-stationary statistical model applied to in-situ daily rainfall data over the period 1983-2015, we show that the region-wide increasing trend in extreme rainfalls is highly significant. The change in extreme value distribution reflects an increase in both the mean and variability, producing a 5%/decade increase in extreme rainfall intensity whatever the return period. The statistical framework provides operational elements for revising the design methods of hydraulic structures which most often assume a stationary climate. Finally, the study shows that the increase in extreme rainfall is more attributable to an increase in the intensity of storms (80%) than to their occurrence (20%), reflecting a major disruption from the decadal variability of the rainfall regime documented in the region since 1950.

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