scholarly journals Identification and Characterization of Dust Source Regions Across North Africa and the Middle East Using MISR Satellite Observations

2018 ◽  
Vol 45 (13) ◽  
pp. 6690-6701 ◽  
Author(s):  
Yan Yu ◽  
Olga V. Kalashnikova ◽  
Michael J. Garay ◽  
Huikyo Lee ◽  
Michael Notaro
2021 ◽  
Vol 21 (15) ◽  
pp. 11669-11687
Author(s):  
Lin Tian ◽  
Lin Chen ◽  
Peng Zhang ◽  
Lei Bi

Abstract. The direct radiative forcing efficiency of dust aerosol (DRFEdust) is an important indicator to measure the climate effect of dust. The DRFEdust is determined by the microphysical properties of dust, which vary with dust source regions. However, there are only sparse in situ measurements of them, such as the distribution of the dust aerosol particle size and the complex refractive index in the main dust source regions. Furthermore, recent studies have shown that the non-spherical effect of the dust particle is not negligible. The DRFEdust is often evaluated by estimating given microphysical properties of the dust aerosols in the radiative transfer model (RTM). However, considerable uncertainties exist due to the complex and variable dust properties, including the complex refractive index and the shape of the dust. The DRFEdust over the Taklimakan Desert and Sahara is derived from the satellite observations in this paper. The advantage of the proposed satellite-based method is that there is no need to consider the microphysical properties of the dust aerosols in estimating the DRFEdust. For comparison, the observed DRFEdust is compared with that simulated by the RTM. The differences in the dust microphysical properties in these two regions and their impacts on DRFEdust are analyzed. The DRFEdust derived from the satellite observation is -39.6±10.0 W m-2τ-1 in March 2019 over Tamanrasset in the Sahara and -48.6±13.7 W m-2τ-1 in April 2019 over Kashi in the Taklimakan Desert. According to the analyses of their microphysical properties and optical properties, the dust aerosols from the Taklimakan Desert (Kashi) scatter strongly. The RTM-simulated results (−41.5 to −47.4 W m-2τ-1 over Kashi and −32.2 to −44.3 W m-2τ-1 over Tamanrasset) are in good agreement with the results estimated by satellite observations. According to previous studies, the results in this paper are proven to be reasonable and reliable. The results also show that the microphysical properties of the dust can significantly influence the DRFEdust. The satellite-derived results can represent the influence of the dust microphysical properties on the DRFEdust, which can also validate the direct radiative effect of the dust aerosol and the DRFEdust derived from the numerical model more directly.


Heliyon ◽  
2017 ◽  
Vol 3 (7) ◽  
pp. e00352 ◽  
Author(s):  
Malik Sallam ◽  
Gülşen Özkaya Şahin ◽  
Mikael Ingman ◽  
Anders Widell ◽  
Joakim Esbjörnsson ◽  
...  

2019 ◽  
Vol 34 (1) ◽  
pp. 1-9
Author(s):  
Sima Poorhashemi ◽  
◽  
Abolghasem Ami Ahmadi ◽  
Mohammad Ali Zangane ◽  
mahdi Salehi ◽  
...  

2020 ◽  
Author(s):  
Xin Xi

Abstract. This study revisits the use of horizontal visibility and manually reported present weather (ww) records from the NOAA Integrated Surface Database (ISD) for characterizing the aeolian dust variability and recent trends over the globe and three largest source regions (North Africa, Middle East, and East Asia). Due to its qualitative nature, ww is combined with visibility to derive a new variable, VI, which has higher correlations with the dust emission and burden from satellite observations and global aerosol reanalyses than does the dust event frequency (FR) derived from ww only. Both FR and VI capture the intensive dust activity associated with the prolonged North American drought during the 1950s and Sahelian drought during the 1980s. Correlation analysis suggests soil moisture has a lagged effect on the global dustiness, with a maximum r = −0.3 when soil moisture leads VI by 14 months. Through a critical assessment of the ww continuity and ww-visibility consistency of various report types in ISD, the SYNOP data are used for global dust trend detection from 1986 to 2019. Globally, FR and VI decreased at a rate of −0.23 % yr−1 and −8.0 × 10−4 km−1 yr−1, respectively, from 1986 to 1996/1997 when dust reached a minimum, followed by a slower rebound at a rate of 0.085 % yr−1 and 1.9 × 10−4 km−1 yr−1, respectively. The nonlinear behavior of global dustiness is qualitatively consistent with satellite observations and global aerosol reanalyses. Regionally, North Africa experienced increased dust activity during the past decade after staying below average for most of the 1990s–2000s, in response to reduced soil moisture and increased wind speed following the transition of North Atlantic Oscillation (NAO) from strong negative to recurring positive phases since 2011. In the Middle East, dust has been increasing since 1998 due to a prolonged drought in the Tigris-Euphrates basin associated with strong negative Pacific Decadal Oscillation (PDO) phases. As PDO turned positive and weak negative after 2015, the amelioration of drought has led to decreased dust activity in recent years. The dust variability in East Asia is primarily driven by wind speed, which explains the dust decline from 1986 to 1997, and the absence of dust trends during the past two decades. This study constitutes an initial effort of creating a homogenized weather station-based dust-climate dataset in support of wind erosion monitoring, dust source mapping, and dust-climate analysis at local to global scales.


2017 ◽  
Vol 215 ◽  
pp. 141-161 ◽  
Author(s):  
Sarah M. Aarons ◽  
Molly A. Blakowski ◽  
Sarah M. Aciego ◽  
Emily I. Stevenson ◽  
Kenneth W.W. Sims ◽  
...  

2021 ◽  
pp. 1-25 ◽  
Author(s):  
Jamal El-Ouahi ◽  
Nicolas Robinson-García ◽  
Rodrigo Costas

Abstract This study investigates the scientific mobility and international collaboration networks in the Middle East and North Africa (MENA) region between 2008 and 2017. By using affiliation metadata available in scientific publications, we analyze international scientific mobility flows and collaboration linkages. Three complementary approaches allow us to obtain a detailed characterization of scientific mobility. First, we uncover the main destinations and origins of mobile scholars for each country. Results reveal geographical, cultural and historical proximities. Cooperation programs also contribute to explain some of the observed flows. Second, we use the academic age. The average academic age of migrant scholars in MENA was about 12.4 years. The academic age group 6–10 years is the most common for both emigrant and immigrant scholars. Immigrants are relatively younger than emigrants, except for Iran, Palestine, Lebanon, and Turkey. Scholars who migrated to Gulf Cooperation Council countries, Jordan, and Morocco were on average younger than emigrants by 1.5 years from the same countries. Third, we analyze gender differences. We observe a clear gender gap: Male scholars represent the largest group of migrants in MENA. We conclude by discussing the policy relevance of the scientific mobility and collaboration aspects.


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