干旱区生态环境知识资源中心(Arid): Validation of Ash/Dust Detections from SEVIRI Data Using ACTRIS/EARLINET Ground-Based LIDAR Measurements

Arid

DOI	10.3390/rs12071172
	Validation of Ash/Dust Detections from SEVIRI Data Using ACTRIS/EARLINET Ground-Based LIDAR Measurements
	Falconieri, Alfredo 1; Papagiannopoulos, Nikolaos 1; Marchese, Francesco 1; Filizzola, Carolina 1; Trippetta, Serena 1; Pergola, Nicola 1; Pappalardo, Gelsomina 1; Tramutoli, Valerio 2; Mona, Lucia 1
通讯作者	Falconieri, Alfredo
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:7
英文摘要	Two tailored configurations of the Robust Satellite Technique (RST) multi-temporal approach, for airborne volcanic ash and desert dust detection, have been tested in the framework of the European Natural Airborne Disaster Information and Coordination System for Aviation (EUNADICS-AV) project. The two algorithms, running on Spinning Enhanced Visible Infra-Red Imager (SEVIRI) data, were previously assessed over wide areas by comparison with independent satellite-based aerosol products. In this study, we present results of a first validation analysis of the above mentioned satellite-based ash/dust products using independent, ground-based observations coming from the European Aerosol Research Lidar Network (EARLINET). The aim is to assess the capabilities of RST-based ash/dust products in providing useful information even at local scale and to verify their applicability as a trigger to timely activate EARLINET measurements during airborne hazards. The intense Saharan dust event of May 18-23 2008-which affected both the Mediterranean Basin and Continental Europe-and the strong explosive eruptions of Eyjafjallajokull (Iceland) volcano of April-May 2010, were analyzed as test cases. Our results show that both RST-based algorithms were capable of providing reliable information about the investigated phenomena at specific sites of interest, successfully detecting airborne ash/dust in different geographic regions using both nighttime and daytime SEVIRI data. However, the validation analysis also demonstrates that ash/dust layers remain undetected by satellite in the presence of overlying meteorological clouds and when they are tenuous (i.e., with an integrated backscatter coefficient less than similar to 0.001 sr(-1) and with aerosol backscatter coefficient less than similar to 1 x 10(-6) m(-1)sr(-1)). This preliminary analysis confirms that the continuity of satellite-based observations can be used to timely trigger ground-based LIDAR measurements in case of airborne hazard events. Finally, this work confirms that advanced satellite-based detection schemes may provide a relevant contribution to the monitoring of ash/dust phenomena and that the synergistic use of (satellite-based) large scale, continuous and timely records with (ground-based) accurate and quantitative measurements may represent an added value, especially in operational scenarios.
英文关键词	ash clouds dust outbreaks SEVIRI EARLINET RST
类型	Article
语种	英语
国家	Italy
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000537709600122
WOS关键词	ASH CLOUD DETECTION ; EYJAFJALLAJOKULL VOLCANIC CLOUD ; AUTOMATED DETECTION ; DUST ; TIME ; IDENTIFICATION ; RETRIEVAL ; PARTICLES ; POTENZA ; DAYTIME
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/2XILL650/318946
作者单位	1.CNR, Ist Metodol Anal Ambientale, I-85050 Tito, PZ, Italy; 2.Univ Basilicata, Sch Engn, I-85100 Potenza, Italy
推荐引用方式 GB/T 7714	Falconieri, Alfredo,Papagiannopoulos, Nikolaos,Marchese, Francesco,et al. Validation of Ash/Dust Detections from SEVIRI Data Using ACTRIS/EARLINET Ground-Based LIDAR Measurements[J],2020,12(7).
APA	Falconieri, Alfredo.,Papagiannopoulos, Nikolaos.,Marchese, Francesco.,Filizzola, Carolina.,Trippetta, Serena.,...&Mona, Lucia.(2020).Validation of Ash/Dust Detections from SEVIRI Data Using ACTRIS/EARLINET Ground-Based LIDAR Measurements.REMOTE SENSING,12(7).
MLA	Falconieri, Alfredo,et al."Validation of Ash/Dust Detections from SEVIRI Data Using ACTRIS/EARLINET Ground-Based LIDAR Measurements".REMOTE SENSING 12.7(2020).