Volcanic cloud retrieval by ground-based microwave weather radar
The potential of ground-based microwave weather radar systems for volcanic ash cloud detection and quantitative retrieval is evaluated. The relationship between radar reflectivity factor, ash concentration, and fall rate is statistically derived for various eruption regimes and ash sizes by applying...
Published in: | IEEE Transactions on Geoscience and Remote Sensing |
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IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
2006
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Online Access: | http://hdl.handle.net/11573/43373 https://doi.org/10.1109/TGRS.2006.879116 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000241933600002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a http://www.scopus.com/inward/record.url?eid=2-s2.0-33750820113&partnerID=65&md5=27f61a6d93511aecdbc22ec87e0be5d3 |
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ftunivromairis:oai:iris.uniroma1.it:11573/43373 2024-04-14T08:13:47+00:00 Volcanic cloud retrieval by ground-based microwave weather radar MARZANO, FRANK SILVIO S. BARBIERI G. VULPIANI W. I. ROSE Marzano, FRANK SILVIO S., Barbieri G., Vulpiani W. I., Rose 2006 STAMPA http://hdl.handle.net/11573/43373 https://doi.org/10.1109/TGRS.2006.879116 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000241933600002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a http://www.scopus.com/inward/record.url?eid=2-s2.0-33750820113&partnerID=65&md5=27f61a6d93511aecdbc22ec87e0be5d3 eng eng IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667 info:eu-repo/semantics/altIdentifier/wos/WOS:000241933600002 volume:44 firstpage:3235 lastpage:3246 journal:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING http://hdl.handle.net/11573/43373 doi:10.1109/TGRS.2006.879116 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-33750820113 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000241933600002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a http://www.scopus.com/inward/record.url?eid=2-s2.0-33750820113&partnerID=65&md5=27f61a6d93511aecdbc22ec87e0be5d3 info:eu-repo/semantics/article 2006 ftunivromairis https://doi.org/10.1109/TGRS.2006.879116 2024-03-21T18:37:23Z The potential of ground-based microwave weather radar systems for volcanic ash cloud detection and quantitative retrieval is evaluated. The relationship between radar reflectivity factor, ash concentration, and fall rate is statistically derived for various eruption regimes and ash sizes by applying a radarreflectivitymicrophysical model. To quantitatively evaluate the ash detectability by weather radars, a sensitivity analysis is carried out by simulating synthetic ash clouds and varying ash concentration and size as a function of the range. Radar specifications are taken from typical radar systems at S-, C-, and X-band. A prototype algorithm for volcanic ash radar retrieval (VARR) is discussed. Starting from measured single-polarization reflectivity, the statistical inversion technique to retrieve ash concentration and fall rate is based on two cascade steps, namely: 1) classification of eruption regime and volcanic ash category and 2) estimation of ash concentration and fall rate. Expected accuracy of the VARR algorithm estimates is evaluated using a synthetic data set. An application of the VARR technique is finally shown, taking into consideration the eruption of the Grímsvötn volcano in Iceland on November 2004. Volume scan data from a Doppler C-band radar, which is located at 260 km from the volcano vent, are processed by means of the VARR algorithm. Examples of the achievable VARR products are presented and discussed. Article in Journal/Newspaper Iceland Sapienza Università di Roma: CINECA IRIS IEEE Transactions on Geoscience and Remote Sensing 44 11 3235 3246 |
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Open Polar |
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Sapienza Università di Roma: CINECA IRIS |
op_collection_id |
ftunivromairis |
language |
English |
description |
The potential of ground-based microwave weather radar systems for volcanic ash cloud detection and quantitative retrieval is evaluated. The relationship between radar reflectivity factor, ash concentration, and fall rate is statistically derived for various eruption regimes and ash sizes by applying a radarreflectivitymicrophysical model. To quantitatively evaluate the ash detectability by weather radars, a sensitivity analysis is carried out by simulating synthetic ash clouds and varying ash concentration and size as a function of the range. Radar specifications are taken from typical radar systems at S-, C-, and X-band. A prototype algorithm for volcanic ash radar retrieval (VARR) is discussed. Starting from measured single-polarization reflectivity, the statistical inversion technique to retrieve ash concentration and fall rate is based on two cascade steps, namely: 1) classification of eruption regime and volcanic ash category and 2) estimation of ash concentration and fall rate. Expected accuracy of the VARR algorithm estimates is evaluated using a synthetic data set. An application of the VARR technique is finally shown, taking into consideration the eruption of the Grímsvötn volcano in Iceland on November 2004. Volume scan data from a Doppler C-band radar, which is located at 260 km from the volcano vent, are processed by means of the VARR algorithm. Examples of the achievable VARR products are presented and discussed. |
author2 |
Marzano, FRANK SILVIO S., Barbieri G., Vulpiani W. I., Rose |
format |
Article in Journal/Newspaper |
author |
MARZANO, FRANK SILVIO S. BARBIERI G. VULPIANI W. I. ROSE |
spellingShingle |
MARZANO, FRANK SILVIO S. BARBIERI G. VULPIANI W. I. ROSE Volcanic cloud retrieval by ground-based microwave weather radar |
author_facet |
MARZANO, FRANK SILVIO S. BARBIERI G. VULPIANI W. I. ROSE |
author_sort |
MARZANO, FRANK SILVIO |
title |
Volcanic cloud retrieval by ground-based microwave weather radar |
title_short |
Volcanic cloud retrieval by ground-based microwave weather radar |
title_full |
Volcanic cloud retrieval by ground-based microwave weather radar |
title_fullStr |
Volcanic cloud retrieval by ground-based microwave weather radar |
title_full_unstemmed |
Volcanic cloud retrieval by ground-based microwave weather radar |
title_sort |
volcanic cloud retrieval by ground-based microwave weather radar |
publisher |
IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667 |
publishDate |
2006 |
url |
http://hdl.handle.net/11573/43373 https://doi.org/10.1109/TGRS.2006.879116 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000241933600002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a http://www.scopus.com/inward/record.url?eid=2-s2.0-33750820113&partnerID=65&md5=27f61a6d93511aecdbc22ec87e0be5d3 |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000241933600002 volume:44 firstpage:3235 lastpage:3246 journal:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING http://hdl.handle.net/11573/43373 doi:10.1109/TGRS.2006.879116 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-33750820113 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000241933600002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a http://www.scopus.com/inward/record.url?eid=2-s2.0-33750820113&partnerID=65&md5=27f61a6d93511aecdbc22ec87e0be5d3 |
op_doi |
https://doi.org/10.1109/TGRS.2006.879116 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
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44 |
container_issue |
11 |
container_start_page |
3235 |
op_container_end_page |
3246 |
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