http://www.cnr.it/ontology/cnr/individuo/prodotto/ID207426
Radar remote sensing of ash cloud due to the Grímsvötn sub-glacial explosive eruption on 2011 (Contributo in atti di convegno)
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- Radar remote sensing of ash cloud due to the Grímsvötn sub-glacial explosive eruption on 2011 (Contributo in atti di convegno) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/IGARSS.2012.6350800 (literal)
- Alternative label
Marzano FS., Lamantea M., Montopoli M., Cimini D. (2012)
Radar remote sensing of ash cloud due to the Grímsvötn sub-glacial explosive eruption on 2011
in 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Munich, GERMANY, 22 July 2012through27 July 2012
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- Marzano FS., Lamantea M., Montopoli M., Cimini D. (literal)
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- http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6350800&tag=1 (literal)
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- Dept. Information Eng., Electronics and Telecommunications, Sapienza University of Rome, Italy.
CETEMPS, University of l'Aquila, Italy.
Department of Geography, University of Cambridge, United Kingdom.
CNR-IMAA, Istituto di metodologie per l'analisi ambientale , 85050 ZI.Tito Scalo, Potenza, Italy. (literal)
- Titolo
- Radar remote sensing of ash cloud due to the Grímsvötn sub-glacial explosive eruption on 2011 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-1-4673-1160-1 (literal)
- Abstract
- The sub-glacial Plinian explosive eruption of the Grímsvötn volcano on May 2011 was continuously monitored by the Keflavík C-band weather radar, located at a distance of about 260 km from the volcano vent. This work provides an analysis and quantitative interpretation by using these ground-based weather radar data and the Volcanic Ash Radar Retrieval (VARR) physically-based technique. The VARR methodology, herein briefly summarized, was applied to available radar time series to estimate the volume, mass and the plume maximum height, every 5 minutes. Deposited ash at ground was also retrieved from radar data by empirically reconstructing the vertical profile of radar reflectivity and estimating the near-surface ash fallout. The obtained results establish a further step towards the assessment of the VARR algorithm as an effective approach in the field volcanic ash cloud radar remote sensing. (literal)
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