干旱区生态环境知识资源中心(Arid): ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set

Arid

DOI	10.5194/amt-14-309-2021
	ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set
	Gkikas, Antonis; Proestakis, Emmanouil; Amiridis, Vassilis; Kazadzis, Stelios; Di Tomaso, Enza; Tsekeri, Alexandra; Marinou, Eleni; Hatzianastassiou, Nikos; Perez Garcia-Pando, Carlos
通讯作者	Gkikas, A (corresponding author), Natl Observ Athens, Inst Astron Astrophys Space Applicat & Remote Sen, Athens, Greece.
来源期刊	ATMOSPHERIC MEASUREMENT TECHNIQUES
ISSN	1867-1381
EISSN	1867-8548
出版年	2021
卷号	14 期号:1 页码:309-334
英文摘要	Monitoring and describing the spatiotemporal variability in dust aerosols is crucial for understanding their multiple effects, related feedbacks, and impacts within the Earth system. This study describes the development of the ModIs Dust AeroSol (MIDAS) data set. MIDAS provides columnar daily dust optical depth (DOD) at 550 nm at a global scale and fine spatial resolution (0.1 degrees x 0.1 degrees) over a 15-year period (2003-2017). This new data set combines quality filtered satellite aerosol optical depth (AOD) retrievals from MODIS-Aqua at swath level (Collection 6.1; Level 2), along with DOD-to-AOD ratios provided by the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) reanalysis to derive DOD on the MODIS native grid. The uncertainties of the MODIS AOD and MERRA-2 dust fraction, with respect to the AEronet RObotic NETwork (AERONET) and Lldar climatology of vertical Aerosol Structure for space-based lidar simulation (LIVAS), respectively, are taken into account for the estimation of the total DOD uncertainty. MERRA-2 dust fractions are in very good agreement with those of LIVAS across the dust belt in the tropical Atlantic Ocean and the Arabian Sea; the agreement degrades in North America and the Southern Hemisphere, where dust sources are smaller. MIDAS, MERRA-2, and LIVAS DODs strongly agree when it comes to annual and seasonal spatial patterns, with colocated global DOD averages of 0.033, 0.031, and 0.029, respectively; however, deviations in dust loading are evident and regionally dependent. Overall, MIDAS is well correlated with AERONET-derived DODs (R = 0.89) and only shows a small positive bias (0.004 or 2.7 %). Among the major dust areas of the planet, the highest R values (>0.9) are found at sites of North Africa, the Middle East, and Asia. MIDAS expands, complements, and upgrades the existing observational capabilities of dust aerosols, and it is suitable for dust climatological studies, model evaluation, and data assimilation.
类型	Article
语种	英语
开放获取类型	gold, Green Submitted, Green Published
收录类别	SCI-E
WOS记录号	WOS:000611359100001
WOS关键词	DESERT-DUST ; SAHARAN DUST ; MINERAL-DUST ; AFRICAN DUST ; SATELLITE-OBSERVATIONS ; DEPOLARIZATION RATIO ; MEDITERRANEAN BASIN ; DATA ASSIMILATION ; NORTHERN AFRICA ; TEMPORAL TRENDS
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/347743
作者单位	[Gkikas, Antonis; Proestakis, Emmanouil; Amiridis, Vassilis; Tsekeri, Alexandra] Natl Observ Athens, Inst Astron Astrophys Space Applicat & Remote Sen, Athens, Greece; [Kazadzis, Stelios] World Radiat Ctr, Phys Meteorol Observ Davos, Davos, Switzerland; [Kazadzis, Stelios] Natl Observ Athens, Inst Environm Res & Sustainable Dev, Athens, Greece; [Di Tomaso, Enza; Perez Garcia-Pando, Carlos] Barcelona Supercomp Ctr, Barcelona, Spain; [Marinou, Eleni] Inst Phys Atmosphere, Deutsch Zentrum Luft & Raumfahrt DLR, Oberpfaffenhofen, Germany; [Hatzianastassiou, Nikos] Univ Ioannina, Dept Phys, Lab Meteorol, Ioannina, Greece; [Perez Garcia-Pando, Carlos] Catalan Inst Res & Adv Studies, ICREA, Barcelona, Spain
推荐引用方式 GB/T 7714	Gkikas, Antonis,Proestakis, Emmanouil,Amiridis, Vassilis,et al. ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set[J],2021,14(1):309-334.
APA	Gkikas, Antonis.,Proestakis, Emmanouil.,Amiridis, Vassilis.,Kazadzis, Stelios.,Di Tomaso, Enza.,...&Perez Garcia-Pando, Carlos.(2021).ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set.ATMOSPHERIC MEASUREMENT TECHNIQUES,14(1),309-334.
MLA	Gkikas, Antonis,et al."ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set".ATMOSPHERIC MEASUREMENT TECHNIQUES 14.1(2021):309-334.