Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna

Multi-sensor strategies are key to the real-time determination of eruptive source parameters (ESPs) of explosive eruptions necessary to forecast accurately both tephra dispersal and deposition. To explore the capacity of these strategies in various eruptive conditions, we analyze data acquired by tw...
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Autor*in:	Valentin Freret-Lorgeril [verfasserIn] Costanza Bonadonna [verfasserIn] Stefano Corradini [verfasserIn] Franck Donnadieu [verfasserIn] Lorenzo Guerrieri [verfasserIn] Giorgio Lacanna [verfasserIn] Frank Silvio Marzano [verfasserIn] Luigi Mereu [verfasserIn] Luca Merucci [verfasserIn] Maurizio Ripepe [verfasserIn] Simona Scollo [verfasserIn] Dario Stelitano [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	tephra remote sensing plume height mass eruption rate total erupted mass total grain-size distribution

Übergeordnetes Werk:	In: Remote Sensing - MDPI AG, 2009, 13(2021), 11, p 2097
Übergeordnetes Werk:	volume:13 ; year:2021 ; number:11, p 2097

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/rs13112097

Katalog-ID:	DOAJ018591469

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allfields	10.3390/rs13112097 doi (DE-627)DOAJ018591469 (DE-599)DOAJ13632508a62a447a8bedd799db30a1a2 DE-627 ger DE-627 rakwb eng Valentin Freret-Lorgeril verfasserin aut Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multi-sensor strategies are key to the real-time determination of eruptive source parameters (ESPs) of explosive eruptions necessary to forecast accurately both tephra dispersal and deposition. To explore the capacity of these strategies in various eruptive conditions, we analyze data acquired by two Doppler radars, ground- and satellite-based infrared sensors, one infrasound array, visible video-monitoring cameras as well as data from tephra-fallout deposits associated with a weak and a strong paroxysmal event at Mount Etna (Italy). We find that the different sensors provide complementary observations that should be critically analyzed and combined to provide comprehensive estimates of ESPs. First, all measurements of plume height agree during the strong paroxysmal activity considered, whereas some discrepancies are found for the weak paroxysm due to rapid plume and cloud dilution. Second, the event duration, key to convert the total erupted mass (TEM) in the mass eruption rate (MER) and vice versa, varies depending on the sensor used, providing information on different phases of the paroxysm (i.e., unsteady lava fountaining, lava fountain-fed tephra plume, waning phase associated with plume and cloud expansion in the atmosphere). As a result, TEM and MER derived from different sensors also correspond to the different phases of the paroxysms. Finally, satellite retrievals for grain-size can be combined with radar data to provide a first approximation of total grain-size distribution (TGSD) in near real-time. Such a TGSD shows a promising agreement with the TGSD derived from the combination of satellite data and whole deposit grain-size distribution (WDGSD). tephra remote sensing plume height mass eruption rate total erupted mass total grain-size distribution Science Q Costanza Bonadonna verfasserin aut Stefano Corradini verfasserin aut Franck Donnadieu verfasserin aut Lorenzo Guerrieri verfasserin aut Giorgio Lacanna verfasserin aut Frank Silvio Marzano verfasserin aut Luigi Mereu verfasserin aut Luca Merucci verfasserin aut Maurizio Ripepe verfasserin aut Simona Scollo verfasserin aut Dario Stelitano verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 11, p 2097 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:11, p 2097 https://doi.org/10.3390/rs13112097 kostenfrei https://doaj.org/article/13632508a62a447a8bedd799db30a1a2 kostenfrei https://www.mdpi.com/2072-4292/13/11/2097 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 11, p 2097
spelling	10.3390/rs13112097 doi (DE-627)DOAJ018591469 (DE-599)DOAJ13632508a62a447a8bedd799db30a1a2 DE-627 ger DE-627 rakwb eng Valentin Freret-Lorgeril verfasserin aut Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multi-sensor strategies are key to the real-time determination of eruptive source parameters (ESPs) of explosive eruptions necessary to forecast accurately both tephra dispersal and deposition. To explore the capacity of these strategies in various eruptive conditions, we analyze data acquired by two Doppler radars, ground- and satellite-based infrared sensors, one infrasound array, visible video-monitoring cameras as well as data from tephra-fallout deposits associated with a weak and a strong paroxysmal event at Mount Etna (Italy). We find that the different sensors provide complementary observations that should be critically analyzed and combined to provide comprehensive estimates of ESPs. First, all measurements of plume height agree during the strong paroxysmal activity considered, whereas some discrepancies are found for the weak paroxysm due to rapid plume and cloud dilution. Second, the event duration, key to convert the total erupted mass (TEM) in the mass eruption rate (MER) and vice versa, varies depending on the sensor used, providing information on different phases of the paroxysm (i.e., unsteady lava fountaining, lava fountain-fed tephra plume, waning phase associated with plume and cloud expansion in the atmosphere). As a result, TEM and MER derived from different sensors also correspond to the different phases of the paroxysms. Finally, satellite retrievals for grain-size can be combined with radar data to provide a first approximation of total grain-size distribution (TGSD) in near real-time. Such a TGSD shows a promising agreement with the TGSD derived from the combination of satellite data and whole deposit grain-size distribution (WDGSD). tephra remote sensing plume height mass eruption rate total erupted mass total grain-size distribution Science Q Costanza Bonadonna verfasserin aut Stefano Corradini verfasserin aut Franck Donnadieu verfasserin aut Lorenzo Guerrieri verfasserin aut Giorgio Lacanna verfasserin aut Frank Silvio Marzano verfasserin aut Luigi Mereu verfasserin aut Luca Merucci verfasserin aut Maurizio Ripepe verfasserin aut Simona Scollo verfasserin aut Dario Stelitano verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 11, p 2097 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:11, p 2097 https://doi.org/10.3390/rs13112097 kostenfrei https://doaj.org/article/13632508a62a447a8bedd799db30a1a2 kostenfrei https://www.mdpi.com/2072-4292/13/11/2097 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 11, p 2097
allfields_unstemmed	10.3390/rs13112097 doi (DE-627)DOAJ018591469 (DE-599)DOAJ13632508a62a447a8bedd799db30a1a2 DE-627 ger DE-627 rakwb eng Valentin Freret-Lorgeril verfasserin aut Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multi-sensor strategies are key to the real-time determination of eruptive source parameters (ESPs) of explosive eruptions necessary to forecast accurately both tephra dispersal and deposition. To explore the capacity of these strategies in various eruptive conditions, we analyze data acquired by two Doppler radars, ground- and satellite-based infrared sensors, one infrasound array, visible video-monitoring cameras as well as data from tephra-fallout deposits associated with a weak and a strong paroxysmal event at Mount Etna (Italy). We find that the different sensors provide complementary observations that should be critically analyzed and combined to provide comprehensive estimates of ESPs. First, all measurements of plume height agree during the strong paroxysmal activity considered, whereas some discrepancies are found for the weak paroxysm due to rapid plume and cloud dilution. Second, the event duration, key to convert the total erupted mass (TEM) in the mass eruption rate (MER) and vice versa, varies depending on the sensor used, providing information on different phases of the paroxysm (i.e., unsteady lava fountaining, lava fountain-fed tephra plume, waning phase associated with plume and cloud expansion in the atmosphere). As a result, TEM and MER derived from different sensors also correspond to the different phases of the paroxysms. Finally, satellite retrievals for grain-size can be combined with radar data to provide a first approximation of total grain-size distribution (TGSD) in near real-time. Such a TGSD shows a promising agreement with the TGSD derived from the combination of satellite data and whole deposit grain-size distribution (WDGSD). tephra remote sensing plume height mass eruption rate total erupted mass total grain-size distribution Science Q Costanza Bonadonna verfasserin aut Stefano Corradini verfasserin aut Franck Donnadieu verfasserin aut Lorenzo Guerrieri verfasserin aut Giorgio Lacanna verfasserin aut Frank Silvio Marzano verfasserin aut Luigi Mereu verfasserin aut Luca Merucci verfasserin aut Maurizio Ripepe verfasserin aut Simona Scollo verfasserin aut Dario Stelitano verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 11, p 2097 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:11, p 2097 https://doi.org/10.3390/rs13112097 kostenfrei https://doaj.org/article/13632508a62a447a8bedd799db30a1a2 kostenfrei https://www.mdpi.com/2072-4292/13/11/2097 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 11, p 2097
allfieldsGer	10.3390/rs13112097 doi (DE-627)DOAJ018591469 (DE-599)DOAJ13632508a62a447a8bedd799db30a1a2 DE-627 ger DE-627 rakwb eng Valentin Freret-Lorgeril verfasserin aut Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multi-sensor strategies are key to the real-time determination of eruptive source parameters (ESPs) of explosive eruptions necessary to forecast accurately both tephra dispersal and deposition. To explore the capacity of these strategies in various eruptive conditions, we analyze data acquired by two Doppler radars, ground- and satellite-based infrared sensors, one infrasound array, visible video-monitoring cameras as well as data from tephra-fallout deposits associated with a weak and a strong paroxysmal event at Mount Etna (Italy). We find that the different sensors provide complementary observations that should be critically analyzed and combined to provide comprehensive estimates of ESPs. First, all measurements of plume height agree during the strong paroxysmal activity considered, whereas some discrepancies are found for the weak paroxysm due to rapid plume and cloud dilution. Second, the event duration, key to convert the total erupted mass (TEM) in the mass eruption rate (MER) and vice versa, varies depending on the sensor used, providing information on different phases of the paroxysm (i.e., unsteady lava fountaining, lava fountain-fed tephra plume, waning phase associated with plume and cloud expansion in the atmosphere). As a result, TEM and MER derived from different sensors also correspond to the different phases of the paroxysms. Finally, satellite retrievals for grain-size can be combined with radar data to provide a first approximation of total grain-size distribution (TGSD) in near real-time. Such a TGSD shows a promising agreement with the TGSD derived from the combination of satellite data and whole deposit grain-size distribution (WDGSD). tephra remote sensing plume height mass eruption rate total erupted mass total grain-size distribution Science Q Costanza Bonadonna verfasserin aut Stefano Corradini verfasserin aut Franck Donnadieu verfasserin aut Lorenzo Guerrieri verfasserin aut Giorgio Lacanna verfasserin aut Frank Silvio Marzano verfasserin aut Luigi Mereu verfasserin aut Luca Merucci verfasserin aut Maurizio Ripepe verfasserin aut Simona Scollo verfasserin aut Dario Stelitano verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 11, p 2097 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:11, p 2097 https://doi.org/10.3390/rs13112097 kostenfrei https://doaj.org/article/13632508a62a447a8bedd799db30a1a2 kostenfrei https://www.mdpi.com/2072-4292/13/11/2097 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 11, p 2097
allfieldsSound	10.3390/rs13112097 doi (DE-627)DOAJ018591469 (DE-599)DOAJ13632508a62a447a8bedd799db30a1a2 DE-627 ger DE-627 rakwb eng Valentin Freret-Lorgeril verfasserin aut Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multi-sensor strategies are key to the real-time determination of eruptive source parameters (ESPs) of explosive eruptions necessary to forecast accurately both tephra dispersal and deposition. To explore the capacity of these strategies in various eruptive conditions, we analyze data acquired by two Doppler radars, ground- and satellite-based infrared sensors, one infrasound array, visible video-monitoring cameras as well as data from tephra-fallout deposits associated with a weak and a strong paroxysmal event at Mount Etna (Italy). We find that the different sensors provide complementary observations that should be critically analyzed and combined to provide comprehensive estimates of ESPs. First, all measurements of plume height agree during the strong paroxysmal activity considered, whereas some discrepancies are found for the weak paroxysm due to rapid plume and cloud dilution. Second, the event duration, key to convert the total erupted mass (TEM) in the mass eruption rate (MER) and vice versa, varies depending on the sensor used, providing information on different phases of the paroxysm (i.e., unsteady lava fountaining, lava fountain-fed tephra plume, waning phase associated with plume and cloud expansion in the atmosphere). As a result, TEM and MER derived from different sensors also correspond to the different phases of the paroxysms. Finally, satellite retrievals for grain-size can be combined with radar data to provide a first approximation of total grain-size distribution (TGSD) in near real-time. Such a TGSD shows a promising agreement with the TGSD derived from the combination of satellite data and whole deposit grain-size distribution (WDGSD). tephra remote sensing plume height mass eruption rate total erupted mass total grain-size distribution Science Q Costanza Bonadonna verfasserin aut Stefano Corradini verfasserin aut Franck Donnadieu verfasserin aut Lorenzo Guerrieri verfasserin aut Giorgio Lacanna verfasserin aut Frank Silvio Marzano verfasserin aut Luigi Mereu verfasserin aut Luca Merucci verfasserin aut Maurizio Ripepe verfasserin aut Simona Scollo verfasserin aut Dario Stelitano verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 11, p 2097 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:11, p 2097 https://doi.org/10.3390/rs13112097 kostenfrei https://doaj.org/article/13632508a62a447a8bedd799db30a1a2 kostenfrei https://www.mdpi.com/2072-4292/13/11/2097 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 11, p 2097
language	English
source	In Remote Sensing 13(2021), 11, p 2097 volume:13 year:2021 number:11, p 2097
sourceStr	In Remote Sensing 13(2021), 11, p 2097 volume:13 year:2021 number:11, p 2097
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	tephra remote sensing plume height mass eruption rate total erupted mass total grain-size distribution Science Q
isfreeaccess_bool	true
container_title	Remote Sensing
authorswithroles_txt_mv	Valentin Freret-Lorgeril @@aut@@ Costanza Bonadonna @@aut@@ Stefano Corradini @@aut@@ Franck Donnadieu @@aut@@ Lorenzo Guerrieri @@aut@@ Giorgio Lacanna @@aut@@ Frank Silvio Marzano @@aut@@ Luigi Mereu @@aut@@ Luca Merucci @@aut@@ Maurizio Ripepe @@aut@@ Simona Scollo @@aut@@ Dario Stelitano @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	608937916
id	DOAJ018591469
language_de	englisch
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author	Valentin Freret-Lorgeril
spellingShingle	Valentin Freret-Lorgeril misc tephra misc remote sensing misc plume height misc mass eruption rate misc total erupted mass misc total grain-size distribution misc Science misc Q Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna
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topic_title	Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna tephra remote sensing plume height mass eruption rate total erupted mass total grain-size distribution
topic	misc tephra misc remote sensing misc plume height misc mass eruption rate misc total erupted mass misc total grain-size distribution misc Science misc Q
topic_unstemmed	misc tephra misc remote sensing misc plume height misc mass eruption rate misc total erupted mass misc total grain-size distribution misc Science misc Q
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title	Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna
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title_full	Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna
author_sort	Valentin Freret-Lorgeril
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author_browse	Valentin Freret-Lorgeril Costanza Bonadonna Stefano Corradini Franck Donnadieu Lorenzo Guerrieri Giorgio Lacanna Frank Silvio Marzano Luigi Mereu Luca Merucci Maurizio Ripepe Simona Scollo Dario Stelitano
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title_sort	examples of multi-sensor determination of eruptive source parameters of explosive events at mount etna
title_auth	Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna
abstract	Multi-sensor strategies are key to the real-time determination of eruptive source parameters (ESPs) of explosive eruptions necessary to forecast accurately both tephra dispersal and deposition. To explore the capacity of these strategies in various eruptive conditions, we analyze data acquired by two Doppler radars, ground- and satellite-based infrared sensors, one infrasound array, visible video-monitoring cameras as well as data from tephra-fallout deposits associated with a weak and a strong paroxysmal event at Mount Etna (Italy). We find that the different sensors provide complementary observations that should be critically analyzed and combined to provide comprehensive estimates of ESPs. First, all measurements of plume height agree during the strong paroxysmal activity considered, whereas some discrepancies are found for the weak paroxysm due to rapid plume and cloud dilution. Second, the event duration, key to convert the total erupted mass (TEM) in the mass eruption rate (MER) and vice versa, varies depending on the sensor used, providing information on different phases of the paroxysm (i.e., unsteady lava fountaining, lava fountain-fed tephra plume, waning phase associated with plume and cloud expansion in the atmosphere). As a result, TEM and MER derived from different sensors also correspond to the different phases of the paroxysms. Finally, satellite retrievals for grain-size can be combined with radar data to provide a first approximation of total grain-size distribution (TGSD) in near real-time. Such a TGSD shows a promising agreement with the TGSD derived from the combination of satellite data and whole deposit grain-size distribution (WDGSD).
abstractGer	Multi-sensor strategies are key to the real-time determination of eruptive source parameters (ESPs) of explosive eruptions necessary to forecast accurately both tephra dispersal and deposition. To explore the capacity of these strategies in various eruptive conditions, we analyze data acquired by two Doppler radars, ground- and satellite-based infrared sensors, one infrasound array, visible video-monitoring cameras as well as data from tephra-fallout deposits associated with a weak and a strong paroxysmal event at Mount Etna (Italy). We find that the different sensors provide complementary observations that should be critically analyzed and combined to provide comprehensive estimates of ESPs. First, all measurements of plume height agree during the strong paroxysmal activity considered, whereas some discrepancies are found for the weak paroxysm due to rapid plume and cloud dilution. Second, the event duration, key to convert the total erupted mass (TEM) in the mass eruption rate (MER) and vice versa, varies depending on the sensor used, providing information on different phases of the paroxysm (i.e., unsteady lava fountaining, lava fountain-fed tephra plume, waning phase associated with plume and cloud expansion in the atmosphere). As a result, TEM and MER derived from different sensors also correspond to the different phases of the paroxysms. Finally, satellite retrievals for grain-size can be combined with radar data to provide a first approximation of total grain-size distribution (TGSD) in near real-time. Such a TGSD shows a promising agreement with the TGSD derived from the combination of satellite data and whole deposit grain-size distribution (WDGSD).
abstract_unstemmed	Multi-sensor strategies are key to the real-time determination of eruptive source parameters (ESPs) of explosive eruptions necessary to forecast accurately both tephra dispersal and deposition. To explore the capacity of these strategies in various eruptive conditions, we analyze data acquired by two Doppler radars, ground- and satellite-based infrared sensors, one infrasound array, visible video-monitoring cameras as well as data from tephra-fallout deposits associated with a weak and a strong paroxysmal event at Mount Etna (Italy). We find that the different sensors provide complementary observations that should be critically analyzed and combined to provide comprehensive estimates of ESPs. First, all measurements of plume height agree during the strong paroxysmal activity considered, whereas some discrepancies are found for the weak paroxysm due to rapid plume and cloud dilution. Second, the event duration, key to convert the total erupted mass (TEM) in the mass eruption rate (MER) and vice versa, varies depending on the sensor used, providing information on different phases of the paroxysm (i.e., unsteady lava fountaining, lava fountain-fed tephra plume, waning phase associated with plume and cloud expansion in the atmosphere). As a result, TEM and MER derived from different sensors also correspond to the different phases of the paroxysms. Finally, satellite retrievals for grain-size can be combined with radar data to provide a first approximation of total grain-size distribution (TGSD) in near real-time. Such a TGSD shows a promising agreement with the TGSD derived from the combination of satellite data and whole deposit grain-size distribution (WDGSD).
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title_short	Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna
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score	7.402273

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Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna

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