干旱区生态环境知识资源中心(Arid): A Global Climatology of Dust Aerosols Based on Satellite Data: Spatial, Seasonal and Inter-Annual Patterns over the Period 2005-2019

Arid

DOI	10.3390/rs13030359
	A Global Climatology of Dust Aerosols Based on Satellite Data: Spatial, Seasonal and Inter-Annual Patterns over the Period 2005-2019
	Gavrouzou, Maria; Hatzianastassiou, Nikolaos; Gkikas, Antonis; Korras-Carraca, Marios-Bruno; Mihalopoulos, Nikolaos
通讯作者	Hatzianastassiou, N (corresponding author), Univ Ioannina, Lab Meteorol & Climatol, Dept Phys, Ioannina 45110, Greece.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:3
英文摘要	A satellite-based algorithm is developed and used to determine the presence of dust aerosols on a global scale. The algorithm uses as input aerosol optical properties from the MOderate Resolution Imaging Spectroradiometer (MODIS)-Aqua Collection 6.1 and Ozone Monitoring Instrument (OMI)-Aura version v003 (OMAER-UV) datasets and identifies the existence of dust aerosols in the atmosphere by applying specific thresholds, which ensure the coarse size and the absorptivity of dust aerosols, on the input optical properties. The utilized aerosol optical properties are the multiwavelength aerosol optical depth (AOD), the Aerosol Absorption Index (AI) and the angstrom ngstrom Exponent (a). The algorithm operates on a daily basis and at 1 degrees x 1 degrees latitude-longitude spatial resolution for the period 2005-2019 and computes the absolute and relative frequency of the occurrence of dust. The monthly and annual mean frequencies are calculated on a pixel level for each year of the study period, enabling the study of the seasonal as well as the inter-annual variation of dust aerosols' occurrence all over the globe. Temporal averaging is also applied to the annual values in order to estimate the 15-year climatological mean values. Apart from temporal, a spatial averaging is also applied for the entire globe as well as for specific regions of interest, namely great global deserts and areas of desert dust export. According to the algorithm results, the highest frequencies of dust occurrence (up to 160 days/year) are primarily observed over the western part of North Africa (Sahara), and over the broader area of Bodele, and secondarily over the Asian Taklamakan desert (140 days/year). For most of the study regions, the maximum frequencies appear in boreal spring and/or summer and the minimum ones in winter or autumn. A clear seasonality of global dust is revealed, with the lowest frequencies in November-December and the highest ones in June. Finally, an increasing trend of global dust frequency of occurrence from 2005 to 2019, equal to 56.2%, is also found. Such an increasing trend is observed over all study regions except for North Middle East, where a slight decreasing trend (-2.4%) is found.
英文关键词	dust aerosol satellite detection frequency of occurrence trends transport
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000615469800001
WOS关键词	GENERAL-CIRCULATION MODEL ; DESERT-DUST ; OPTICAL DEPTH ; SAHARAN DUST ; MINERAL DUST ; AFRICAN DUST ; TEMPORAL VARIABILITY ; ABSORBING AEROSOLS ; SOUTHERN AFRICA ; NORTH-ATLANTIC
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351475
作者单位	[Gavrouzou, Maria; Hatzianastassiou, Nikolaos; Korras-Carraca, Marios-Bruno] Univ Ioannina, Lab Meteorol & Climatol, Dept Phys, Ioannina 45110, Greece; [Gkikas, Antonis] Natl Observ Athens, Inst Astron Astrophys Space Applicat & Remote Sen, Athens 15236, Greece; [Korras-Carraca, Marios-Bruno] Univ Aegean, Dept Environm, Mitilini 81100, Greece; [Mihalopoulos, Nikolaos] Natl Observ Athens, Inst Environm Res & Sustainable Dev IERSD, Athens 15236, Greece; [Mihalopoulos, Nikolaos] Univ Crete, Dept Chem, Environm Chem Proc Lab, Iraklion 70013, Greece
推荐引用方式 GB/T 7714	Gavrouzou, Maria,Hatzianastassiou, Nikolaos,Gkikas, Antonis,et al. A Global Climatology of Dust Aerosols Based on Satellite Data: Spatial, Seasonal and Inter-Annual Patterns over the Period 2005-2019[J],2021,13(3).
APA	Gavrouzou, Maria,Hatzianastassiou, Nikolaos,Gkikas, Antonis,Korras-Carraca, Marios-Bruno,&Mihalopoulos, Nikolaos.(2021).A Global Climatology of Dust Aerosols Based on Satellite Data: Spatial, Seasonal and Inter-Annual Patterns over the Period 2005-2019.REMOTE SENSING,13(3).
MLA	Gavrouzou, Maria,et al."A Global Climatology of Dust Aerosols Based on Satellite Data: Spatial, Seasonal and Inter-Annual Patterns over the Period 2005-2019".REMOTE SENSING 13.3(2021).