Variability of mineral dust concentrations over West Africa monitored by the Sahelian Dust Transect

The “Sahelian belt” is known as a region where mineral dust content is among the highest in the world. In the framework of the AMMA international Program, a transect of three ground based stations, the “Sahelian Dust Transect” (SDT), has been deployed in order to obtain quantitative information on the mineral dust content over the Sahel. These three stations: Banizoumbou (Niger), Cinzana (Mali) and M'Bour (Senegal) are aligned at 13°N along the east–west main pathway of the Saharan and Sahelian dust toward the Atlantic Ocean. The SDT provides a set of aerosol measurements and local meteorological parameters to describe and understand the mechanisms that control the temporal and regional variability of mineral dust content in these regions. In this work we analyze the seasonal and diurnal variability of the dust concentrations over the period 2006–2010. The analysis of the dust concentrations measured between 2006 and 2010 confirmed a regional seasonal cycle characterized by a maximum in the dry season, with median concentration ranging from 205 μg m− 3 at Banizoumbou to 144 μg m− 3 at M'Bour, and a minimum (11–32 μg m− 3) in the wet season. The five year data set allowed the quantification of the variability of the monthly concentrations. The range between the percentiles 75 and 25 varies linearly with the median concentration: it is of the same order than the median value in M'Bour, 17% slightly higher in Cinzana and 50% higher in Banizoumbou. The range between the accepted maximum and minimum is also correlated with the median value, with slopes ranging from 14 in Banizoumbou to 7 in M'Bour. Part of the variability of the concentration at the monthly scale is due to interannual variability. Extremely high or low monthly concentration can be recorded that significantly impacts the five year median concentration and its range. Compared to the 3-year data set analyzed by Marticorena et al. (2010), the two additional years used in this work appear as the less dusty year (2009) and one of the dustier years (2010). The sampling time step and the high recovery rates of the measurement stations allowed to investigate the diurnal cycle of the dust concentration for the first time. During the dry season, the hourly median concentrations range from 80 to 100 μg m− 3 during the night to 100–160 μg m− 3 during the day-time maximum. The diurnal cycle of the PM10 concentrations is phased with the diurnal cycle of the surface wind speed and thus modulated by the interactions between the nocturnal lower level jet (NLLJ) and the surface boundary layer. The NLLJ appears as a major agent to transport Saharan dust toward the Sahel. During the wet season, the median PM10 concentrations are maximum at night-time (< 50 μg m− 3). The night-time concentrations are associated with a large range of variability and coincide with the periods of higher occurrence of meso-scale convective systems. The amplitude of the diurnal cycle is of the order of 60 μg m− 3 in the dry season and 20 μg m− 3 in the wet season. Both in the dry and in the wet season, despite a month to month variability of the daily dust concentration, a typical diurnal pattern has been established suggesting that this temporal pattern is mainly driven by local meteorological conditions.

[1]  Peter Knippertz,et al.  The importance of the representation of deep convection for modeled dust‐generating winds over West Africa during summer , 2011 .

[2]  K. Schepanski,et al.  The role of deep convection and nocturnal low-level jets for dust emission in summertime West Africa: Estimates from convection-permitting simulations , 2013, Journal of geophysical research. Atmospheres : JGR.

[3]  M. Legrand,et al.  Temporal and spatial variations of the atmospheric dust loading throughout West Africa over the last thirty years , 1994 .

[4]  C. Thorncroft,et al.  African Monsoon Multidisciplinary Analysis: An International Research Project and Field Campaign , 2006 .

[5]  B. Greenwood Editorial: 100 years of epidemic meningitis in West Africa – has anything changed? , 2006, Tropical medicine & international health : TM & IH.

[6]  Jean-Jacques Morcrette,et al.  Influence of aerosol climatology on forecasts of the African Easterly Jet , 2005 .

[7]  Peter Knippertz,et al.  Mineral dust aerosols over the Sahara: Meteorological controls on emission and transport and implications for modeling , 2012 .

[8]  Andreas Macke,et al.  Meteorological processes forcing Saharan dust emission inferred from MSG-SEVIRI observations of subdaily dust source activation and numerical models , 2009 .

[9]  François Dulac,et al.  Control of atmospheric export of dust from North Africa by the North Atlantic Oscillation , 1997, Nature.

[10]  O. Torres,et al.  ENVIRONMENTAL CHARACTERIZATION OF GLOBAL SOURCES OF ATMOSPHERIC SOIL DUST IDENTIFIED WITH THE NIMBUS 7 TOTAL OZONE MAPPING SPECTROMETER (TOMS) ABSORBING AEROSOL PRODUCT , 2002 .

[11]  E. O'connor,et al.  Diurnal and Seasonal Cycles of Cloud Occurrences, Types, and Radiative Impact over West Africa , 2012 .

[12]  Richard Washington,et al.  North African dust emissions and transport , 2006 .

[13]  Frédéric Baup,et al.  Surface thermodynamics and radiative budget in the Sahelian Gourma: Seasonal and diurnal cycles , 2009 .

[14]  C. Flamant,et al.  Links between topography, wind, deflation, lakes and dust: The case of the Bodélé Depression, Chad , 2006 .

[15]  N. Mahowald,et al.  Global Iron Connections Between Desert Dust, Ocean Biogeochemistry, and Climate , 2005, Science.

[16]  J. Holton The diurnal boundary layer wind oscillation above sloping terrain , 1967 .

[17]  C. Simmer,et al.  Spectral aerosol optical properties from AERONET Sun-photometric measurements over West Africa , 2008 .

[18]  Michael Schulz,et al.  Global dust model intercomparison in AeroCom phase I , 2011 .

[19]  M. Thomson,et al.  Potential of environmental models to predict meningitis epidemics in Africa , 2006, Tropical medicine & international health : TM & IH.

[20]  R. R. Burton,et al.  The diurnal cycle of the West African monsoon circulation , 2005 .

[21]  Paola Formenti,et al.  AMMA dust experiment: An overview of measurements performed during the dry season special observation period (SOP0) at the Banizoumbou (Niger) supersite , 2008 .

[22]  B. Marticorena,et al.  Temporal variability of mineral dust concentrations over West Africa: analyses of a pluriannual monitoring from the AMMA Sahelian Dust Transect , 2010 .

[23]  Christian M. Grams,et al.  Uplift of Saharan dust south of the intertropical discontinuity , 2008 .

[24]  Overview of observations from the RADAGAST experiment in Niamey, Niger: Meteorology and thermodynamic variables , 2008 .

[25]  M. Wiegner,et al.  Vertical aerosol profiles from Raman polarization lidar observations during the dry season AMMA field campaign , 2008 .

[26]  Nick Middleton,et al.  Dust storms in the Middle East , 1986 .

[27]  J. Rajot,et al.  L'érosion éolienne dans le Sahel nigérien: influence des pratiques culturales actuelles et méthodes de lutte , 2004 .

[28]  Gregory G. Leptoukh,et al.  Online analysis enhances use of NASA Earth science data , 2007 .

[29]  Jacques Pelon,et al.  Dust emissions over the Sahel associated with the West African monsoon intertropical discontinuity region: A representative case‐study , 2008 .

[30]  Nadège Martiny,et al.  Suitability of OMI aerosol index to reflect mineral dust surface conditions: Preliminary application for studying the link with meningitis epidemics in the Sahel , 2013 .

[31]  B. Marticorena,et al.  Impact of very low crop residues cover on wind erosion in the Sahel , 2011 .

[32]  Sylvie Thiria,et al.  Statistical relationship between surface PM10 concentration and aerosol optical depth over the Sahel as a function of weather type, using neural network methodology , 2013 .

[33]  Mar Viana,et al.  Influence of African dust on the levels of atmospheric particulates in the Canary Islands air quality network , 2002 .

[34]  Robert M. Banta,et al.  Turbulent Velocity-Variance Profiles in the Stable Boundary Layer Generated by a Nocturnal Low-Level Jet , 2006 .

[35]  J. Martins,et al.  Meteorology and dust in the central Sahara: Observations from Fennec supersite‐1 during the June 2011 Intensive Observation Period , 2013 .

[36]  B. Campistron,et al.  Observation of the Diurnal Cycle in the Low Troposphere of West Africa , 2008 .

[37]  Ilan Koren,et al.  Quantifying uncertainty in estimates of mineral dust flux: An intercomparison of model performance over the Bodélé Depression, northern Chad , 2008 .

[38]  H. Laurent,et al.  Life cycle of Sahelian mesoscale convective cloud systems , 2001 .

[39]  T. Eck,et al.  An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET , 2001 .

[40]  A. Blackadar Boundary Layer Wind Maxima and Their Significance for the Growth of Nocturnal Inversions , 1957 .

[41]  Michael Garstang,et al.  Saharan dust in the Amazon Basin , 1992 .

[42]  M. Klose,et al.  Sahel dust zone and synoptic background , 2010 .

[43]  A. Goudie Dust storms in space and time , 1983 .

[44]  Irina N. Sokolik,et al.  Incorporation of mineralogical composition into models of the radiative properties of mineral aerosol from UV to IR wavelengths , 1999 .

[45]  P. Lamb,et al.  Variability of the Intertropical Front (ITF) and Rainfall over the West African Sudan–Sahel Zone , 2010 .

[46]  Peter Knippertz,et al.  A climatology of dust emission events from northern Africa using long-term surface observations , 2014 .

[47]  T. Lebel,et al.  Mesoscale Convective System Rainfall in the Sahel , 2002 .

[48]  K. Schepanski,et al.  Climatology of nocturnal low-level jets over North Africa and implications for modeling mineral dust emission , 2013, Journal of geophysical research. Atmospheres : JGR.

[49]  Nadège Martiny,et al.  Assessments for the impact of mineral dust on the meningitis incidence in West Africa , 2013 .

[50]  A. Evan,et al.  Analysis of winter dust activity off the coast of West Africa using a new 24-year over-water advanced very high resolution radiometer satellite dust climatology , 2006 .