Near-real-time detection of tephra eruption onset and mass flow rate using microwave weather radar and infrasonic arrays
During an eruptive event, the near-real-time monitoring of volcanic explosion onset and its mass flow rate (MFR) is a key factor to predict ash plume dispersion and to mitigate risk to air traffic. Microwave (MW) weather radars have proved to be a fundamental instrument to derive eruptive source par...
Published in: | IEEE Transactions on Geoscience and Remote Sensing |
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Online Access: | http://hdl.handle.net/11573/961378 https://doi.org/10.1109/TGRS.2016.2578282 |
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ftunivromairis:oai:iris.uniroma1.it:11573/961378 2024-02-27T08:40:19+00:00 Near-real-time detection of tephra eruption onset and mass flow rate using microwave weather radar and infrasonic arrays MARZANO, FRANK SILVIO PICCIOTTI, ERRICO Di Fabio, Saverio MONTOPOLI, MARIO MEREU, LUIGI Degruyter, Wim Bonadonna, Costanza Ripepe, Maurizio Marzano, FRANK SILVIO Picciotti, Errico Di Fabio, Saverio Montopoli, Mario Mereu, Luigi Degruyter, Wim Bonadonna, Costanza Ripepe, Maurizio 2016 STAMPA http://hdl.handle.net/11573/961378 https://doi.org/10.1109/TGRS.2016.2578282 eng eng Institute of Electrical and Electronics Engineers info:eu-repo/semantics/altIdentifier/wos/WOS:000385188200004 volume:54 issue:11 firstpage:6292 lastpage:6306 numberofpages:15 journal:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING http://hdl.handle.net/11573/961378 doi:10.1109/TGRS.2016.2578282 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84981295208 info:eu-repo/semantics/restrictedAccess detection algorithm microwave (MW) remote sensing volcanic ash weather radar electrical and electronic engineering earth and planetary sciences (all) info:eu-repo/semantics/article 2016 ftunivromairis https://doi.org/10.1109/TGRS.2016.2578282 2024-01-31T18:09:38Z During an eruptive event, the near-real-time monitoring of volcanic explosion onset and its mass flow rate (MFR) is a key factor to predict ash plume dispersion and to mitigate risk to air traffic. Microwave (MW) weather radars have proved to be a fundamental instrument to derive eruptive source parameters. We extend this capability to include an early-warning detection scheme within the overall volcanic ash radar retrieval methodology. This scheme, called the volcanic ash detection (VAD) algorithm, is based on a hybrid technique using both fuzzy logic and conditional probability. Examples of VAD applications are shown for some case studies, including the Icelandic Grímsvötn eruption in 2011, the Eyjafjallajökull eruption in 2010, and the Italian Mt. Etna volcano eruption in 2013. Estimates of the eruption onset from the radar-based VAD module are compared with infrasonic array data. One-dimensional numerical simulations and analytical model estimates of MFR are also discussed and intercompared with sensor-based retrievals. Results confirm in all cases the potential ofMWweather radar for ash plumemonitoring in near real time and its complementarity with infrasonic array for early-warning system design. Article in Journal/Newspaper Eyjafjallajökull Sapienza Università di Roma: CINECA IRIS IEEE Transactions on Geoscience and Remote Sensing 54 11 6292 6306 |
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Open Polar |
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Sapienza Università di Roma: CINECA IRIS |
op_collection_id |
ftunivromairis |
language |
English |
topic |
detection algorithm microwave (MW) remote sensing volcanic ash weather radar electrical and electronic engineering earth and planetary sciences (all) |
spellingShingle |
detection algorithm microwave (MW) remote sensing volcanic ash weather radar electrical and electronic engineering earth and planetary sciences (all) MARZANO, FRANK SILVIO PICCIOTTI, ERRICO Di Fabio, Saverio MONTOPOLI, MARIO MEREU, LUIGI Degruyter, Wim Bonadonna, Costanza Ripepe, Maurizio Near-real-time detection of tephra eruption onset and mass flow rate using microwave weather radar and infrasonic arrays |
topic_facet |
detection algorithm microwave (MW) remote sensing volcanic ash weather radar electrical and electronic engineering earth and planetary sciences (all) |
description |
During an eruptive event, the near-real-time monitoring of volcanic explosion onset and its mass flow rate (MFR) is a key factor to predict ash plume dispersion and to mitigate risk to air traffic. Microwave (MW) weather radars have proved to be a fundamental instrument to derive eruptive source parameters. We extend this capability to include an early-warning detection scheme within the overall volcanic ash radar retrieval methodology. This scheme, called the volcanic ash detection (VAD) algorithm, is based on a hybrid technique using both fuzzy logic and conditional probability. Examples of VAD applications are shown for some case studies, including the Icelandic Grímsvötn eruption in 2011, the Eyjafjallajökull eruption in 2010, and the Italian Mt. Etna volcano eruption in 2013. Estimates of the eruption onset from the radar-based VAD module are compared with infrasonic array data. One-dimensional numerical simulations and analytical model estimates of MFR are also discussed and intercompared with sensor-based retrievals. Results confirm in all cases the potential ofMWweather radar for ash plumemonitoring in near real time and its complementarity with infrasonic array for early-warning system design. |
author2 |
Marzano, FRANK SILVIO Picciotti, Errico Di Fabio, Saverio Montopoli, Mario Mereu, Luigi Degruyter, Wim Bonadonna, Costanza Ripepe, Maurizio |
format |
Article in Journal/Newspaper |
author |
MARZANO, FRANK SILVIO PICCIOTTI, ERRICO Di Fabio, Saverio MONTOPOLI, MARIO MEREU, LUIGI Degruyter, Wim Bonadonna, Costanza Ripepe, Maurizio |
author_facet |
MARZANO, FRANK SILVIO PICCIOTTI, ERRICO Di Fabio, Saverio MONTOPOLI, MARIO MEREU, LUIGI Degruyter, Wim Bonadonna, Costanza Ripepe, Maurizio |
author_sort |
MARZANO, FRANK SILVIO |
title |
Near-real-time detection of tephra eruption onset and mass flow rate using microwave weather radar and infrasonic arrays |
title_short |
Near-real-time detection of tephra eruption onset and mass flow rate using microwave weather radar and infrasonic arrays |
title_full |
Near-real-time detection of tephra eruption onset and mass flow rate using microwave weather radar and infrasonic arrays |
title_fullStr |
Near-real-time detection of tephra eruption onset and mass flow rate using microwave weather radar and infrasonic arrays |
title_full_unstemmed |
Near-real-time detection of tephra eruption onset and mass flow rate using microwave weather radar and infrasonic arrays |
title_sort |
near-real-time detection of tephra eruption onset and mass flow rate using microwave weather radar and infrasonic arrays |
publisher |
Institute of Electrical and Electronics Engineers |
publishDate |
2016 |
url |
http://hdl.handle.net/11573/961378 https://doi.org/10.1109/TGRS.2016.2578282 |
genre |
Eyjafjallajökull |
genre_facet |
Eyjafjallajökull |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000385188200004 volume:54 issue:11 firstpage:6292 lastpage:6306 numberofpages:15 journal:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING http://hdl.handle.net/11573/961378 doi:10.1109/TGRS.2016.2578282 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84981295208 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1109/TGRS.2016.2578282 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
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54 |
container_issue |
11 |
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6292 |
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6306 |
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