Simulation of African dust properties and radiative effects during the 2015 SHADOW campaign in Senegal

Péré, Jean-Christophe; Rivellini, Laura-Hélèna; Crumeyrolle, S.; Chiapello, Isabelle; Minvielle, F.; Thieuleux, F.; Choël, M.; Popovici, Ioana Elisabeta

doi:10.1016/j.atmosres.2017.07.027

Cited by 15 publications

(8 citation statements)

References 46 publications

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“…This campaign aimed at investigating the microphysical and microchemical properties of desert dust outbreaks and biomass burning intrusions. More details on this campaign can be found elsewhere (Bovchaliuk et al, ; Péré et al, ; Rivellini et al, ; Veselovskii et al, ). The Mbour site, hereafter referred to as desert environment , is a long‐term AERONET site (named Dakar in AERONET), which is equipped with a CIMEL micro‐Lidar (Mortier et al, ).…”

Section: Methodsmentioning

confidence: 99%

Microscopic Observations of Core‐Shell Particle Structure and Implications for Atmospheric Aerosol Remote Sensing

et al. 2018

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Although atmospheric aerosol particles can have complex heterogeneous microstructure, simplified homogeneous particle models are often used in remote sensing applications. In this study, the internal structure of individual atmospheric particles was imaged with the aim of parameterizing particle structural heterogeneity. To this end, ambient urban pollution, desert dust, and biomass burning particles were sampled in northern Europe and western Africa and analyzed by transmission electron microscopy coupled with energy dispersive X‐ray spectroscopy. Among 8,441 observed particles, about 60% of urban and 20% of desert dust particles presented residuals of coating compounds in the form of a halo surrounding a solid core. Graphic outlining of core and halo areas by image analysis revealed a dependence between halo and core dimensions as well as a greater ratio of halos thickness to total particle diameter (core plus halo) for smaller cores than for larger ones. In the case of urban pollution, the mean ratio for submicrometer and supermicrometer size fractions was 0.25 and 0.19, respectively. The corresponding mean values in the desert dust case were somewhat lower (0.22 and 0.14, respectively), but show a similar decreasing trend. Under the assumption that the halo dimension is proportional to the thickness of the particle shell, the obtained core versus shell dependencies were implemented in numerical calculations of aerosol optical characteristics. Different scenarios of the core‐shell dependencies were analyzed with respect to the influence on aerosol optical characteristics, bringing insights into sensitivity to parameterization of the core‐shell particle model in remote sensing algorithms.

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Section: Methodsmentioning

confidence: 99%

Microscopic Observations of Core‐Shell Particle Structure and Implications for Atmospheric Aerosol Remote Sensing

et al. 2018

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“…Although major sources of desert dust include the Sahara, Middleton (2017) has further noted that dust-raising occurs all across the global drylands such as the Middle East, central and eastern Asia and long-range transport enables dust from these sources to reach other part of the world. They have a wide range of impacts on climate forcing, visibility, and human health and quality of life, and their unprecedented increase over countries of Africa in recent times is a cause for concern (Amiri-Farahani et al, 2017; Péré et al, 2018; Schepanski et al, 2017). Aerosols interact directly and indirectly also with solar radiation travelling in space and thus affect the amount of radiative energy reaching the surface and to be reflected back to space (Bran et al, 2018; Brindley et al, 2015; Péré et al, 2018; Zhang and Christopher, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…They have a wide range of impacts on climate forcing, visibility, and human health and quality of life, and their unprecedented increase over countries of Africa in recent times is a cause for concern (Amiri-Farahani et al, 2017; Péré et al, 2018; Schepanski et al, 2017). Aerosols interact directly and indirectly also with solar radiation travelling in space and thus affect the amount of radiative energy reaching the surface and to be reflected back to space (Bran et al, 2018; Brindley et al, 2015; Péré et al, 2018; Zhang and Christopher, 2003). Other studies have reported in the literature that although aerosols are natural and anthropogenic sources, suspended in the atmosphere to the exception of all hydrometeors (Hidy and Brock, 2016), they are usually dispersed and distributed in the atmosphere by turbulence movement of air masses; but are being removed from the atmosphere by ice, dew and precipitation as well as dry sedimentation (Demott et al, 2003; Jones and Harrison, 2004).…”

Section: Introductionmentioning

confidence: 99%

Spatial and seasonal variations in atmospheric aerosols over Nigeria: Assessment of influence of intertropical discontinuity movement

Ayanlade

Atai

Jegede

2019

Journal of Ocean and Climate

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This study examines the influence of intertropical discontinuity movement on seasonality and distribution of atmospheric aerosols over Nigeria, using remote sensing approach. The Moderate Resolution Imaging Spectroradiometer (MODIS) Terra aerosol optical depth, wind speed and precipitation/intertropical discontinuity (ITD) dataset were used. Geospatial interpolation model was used to analyse the aerosol seasonal distribution. Correlations analysis was used to evaluate the degree of influence of wind and ITD on the monthly distribution of aerosol. The results show significant variations in monthly mean distributions of aerosol, but the variation is much more extraordinary during Harmattan season than Wet and Dry seasons, with 0.29 ⩽ aerosol optical depth ⩾ 0.46. In other ecological zones, the highest mean aerosol optical depth values were observed in the months of December, January and February with 0.30 ⩽ aerosol optical depth ⩾ 0.60, with highest value in Sahel ecological zone. Generally, the results further show a strong relationship between aerosol optical depth distribution and migration of ITD with correlation r 2 ⩾ 0.60 @ p = 0.05 mostly during Dry and Harmattan seasons but relatively low correlation r 2 ⩽ 0.40 @ p = 0.05 during Wet season. The major findings of this study are that seasonal shifts in the location of the ITD considerably affect not only rainfall distribution, resulting in the Wet and Dry seasons in the study area, but also have significant impacts on atmospheric aerosol distributions. Although not all aerosols presented in this study are dust originated from Sahara desert, since biomass-burning activities frequently occur in the study area, the study concludes that satellite-based aerosol optical depth datasets continue to be advantageous to understand atmospheric aerosols distribution in a region where there is fewer ground aerosols data.

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“…Spatial mapping of dust source susceptibility areas (DSSAs) is a crucial step for erosion mitigation and watershed management. Different approaches for identifying DSSAs exist, e.g., using meteorological data (Yang et al 2019), numerical modeling (Péré et al 2018), and remote sensing (Jafari et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Mapping land degradation risk due to wind and water erosion

Boroughani

Mirchooli

Hadavifar

et al. 2023

Preprint

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Abstract. Land degradation is a cause of many social, economic, and environmental problems. Therefore identification and monitoring of high-risk areas for land degradation are necessary. Despite the importance of land degradation, the topic receives often relatively little attention. The present study aims to create a land degradation map in terms of soil erosion caused by wind and water erosion of semi-dry land. We focus on the Lut watershed in Iran encompassing the Lut Desert that is influenced by both monsoon rainfalls and dust storms. Dust sources are identified using MODIS satellite images with the help of four different indices to quantify uncertainty. The dust source maps are assessed with three machine learning algorithms encompassing artificial neural network (ANN), random forest (RF), and flexible discriminant analysis (FDA) to map dust sources paired with soil erosion susceptibility due to water. We assess the accuracy of the maps from the machine learning results with the metric Area Under the Curve (AUC) of the Receiver Operating Characteristic (ROC). The maps for water and aeolian soil erosion are used to identify different classes of land degradation risks. The results show that 43 % of the watershed is prone to land degradation in terms of both aeolian and water erosion. Most regions (45 %) have a risk of water erosion and some regions (7 %) a risk of aeolian erosion. Only a small fraction (4 %) of the total area of the region had a low to very low susceptibility for land degradation. The results of this study underline the risk of land degradation for an inhabited region in Iran. Future work should focus on land degradation associated with soil erosion from water and storms in larger regions to evaluate the risks also elsewhere.

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Simulation of African dust properties and radiative effects during the 2015 SHADOW campaign in Senegal

Cited by 15 publications

References 46 publications

Microscopic Observations of Core‐Shell Particle Structure and Implications for Atmospheric Aerosol Remote Sensing

Microscopic Observations of Core‐Shell Particle Structure and Implications for Atmospheric Aerosol Remote Sensing

Spatial and seasonal variations in atmospheric aerosols over Nigeria: Assessment of influence of intertropical discontinuity movement

Mapping land degradation risk due to wind and water erosion

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