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R4AsH: A triple frequency laboratory radar for characterizing falling volcanic ash

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R4AsH: A triple frequency laboratory radar for characterizing falling volcanic ash. / MacFarlane, David G.; Robertson, Ducan A.; Capponi, Antonio.
Radar Sensor Technology XXV. ed. / Kenneth I. Ranney; Ann M. Raynal. SPIE, 2021. 1174219 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11742).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

MacFarlane, DG, Robertson, DA & Capponi, A 2021, R4AsH: A triple frequency laboratory radar for characterizing falling volcanic ash. in KI Ranney & AM Raynal (eds), Radar Sensor Technology XXV., 1174219, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11742, SPIE, Radar Sensor Technology XXV 2021, Virtual, Online, United States, 12/04/21. https://doi.org/10.1117/12.2587613

APA

MacFarlane, D. G., Robertson, D. A., & Capponi, A. (2021). R4AsH: A triple frequency laboratory radar for characterizing falling volcanic ash. In K. I. Ranney, & A. M. Raynal (Eds.), Radar Sensor Technology XXV Article 1174219 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11742). SPIE. https://doi.org/10.1117/12.2587613

Vancouver

MacFarlane DG, Robertson DA, Capponi A. R4AsH: A triple frequency laboratory radar for characterizing falling volcanic ash. In Ranney KI, Raynal AM, editors, Radar Sensor Technology XXV. SPIE. 2021. 1174219. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2587613

Author

MacFarlane, David G. ; Robertson, Ducan A. ; Capponi, Antonio. / R4AsH : A triple frequency laboratory radar for characterizing falling volcanic ash. Radar Sensor Technology XXV. editor / Kenneth I. Ranney ; Ann M. Raynal. SPIE, 2021. (Proceedings of SPIE - The International Society for Optical Engineering).

Bibtex

@inproceedings{027576d6ccd149508390937ed984c272,
title = "R4AsH: A triple frequency laboratory radar for characterizing falling volcanic ash",
abstract = "Airborne ash generated by explosive volcanic eruptions presents a significant danger to aviation. Accurate modelling and predictions of the dispersal of hazardous ash into the atmosphere are currently hampered by uncertainties in the a€ source term' parameters associated with the initial eruption plume, specifically the amount and size of ash particles released into the atmosphere. Ground based radar offers the means to remotely measure ash reflectivity, however estimation of source term parameters from reflectivity measured by single frequency radar is limited by ambiguity between the contribution of particle size distribution (PSD) and ash concentration in the plume. This means that one of these parameters must be assumed rather than measured directly, leading to uncertainties in forecasting eruption hazards. We report on R4AsH, a close range FMCW radar designed to resolve this ambiguity by simultaneous characterization of falling volcanic ash in a laboratory-controlled environment at three different frequencies: 10, 35 and 94 GHz. The R4AsH design uses a single DDS based chirp generator as a common source, multiplied and upconverted to feed three sets of transmit-receive horn antennas directed at a common target volume such that measurements will give spatially and temporally coincident measurements of falling ash. In addition, there will be independent measurement of the PSD using optical imaging and logging of the landing particle mass to calibrate results and inform analysis. The aim of R4AsH is to develop a triplefrequency inversion algorithm to enable simultaneous retrieval of PSD and ash concentration from radar data suitable for future volcano monitoring systems.",
keywords = "FMCW radar, Horn antenna, Multi-frequency, Radar Cross Section, Reflectivity, Volcanic Ash",
author = "MacFarlane, {David G.} and Robertson, {Ducan A.} and Antonio Capponi",
year = "2021",
month = apr,
day = "12",
doi = "10.1117/12.2587613",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Ranney, {Kenneth I.} and Raynal, {Ann M.}",
booktitle = "Radar Sensor Technology XXV",
note = "Radar Sensor Technology XXV 2021 ; Conference date: 12-04-2021 Through 16-04-2021",

}

RIS

TY - GEN

T1 - R4AsH

T2 - Radar Sensor Technology XXV 2021

AU - MacFarlane, David G.

AU - Robertson, Ducan A.

AU - Capponi, Antonio

PY - 2021/4/12

Y1 - 2021/4/12

N2 - Airborne ash generated by explosive volcanic eruptions presents a significant danger to aviation. Accurate modelling and predictions of the dispersal of hazardous ash into the atmosphere are currently hampered by uncertainties in the a€ source term' parameters associated with the initial eruption plume, specifically the amount and size of ash particles released into the atmosphere. Ground based radar offers the means to remotely measure ash reflectivity, however estimation of source term parameters from reflectivity measured by single frequency radar is limited by ambiguity between the contribution of particle size distribution (PSD) and ash concentration in the plume. This means that one of these parameters must be assumed rather than measured directly, leading to uncertainties in forecasting eruption hazards. We report on R4AsH, a close range FMCW radar designed to resolve this ambiguity by simultaneous characterization of falling volcanic ash in a laboratory-controlled environment at three different frequencies: 10, 35 and 94 GHz. The R4AsH design uses a single DDS based chirp generator as a common source, multiplied and upconverted to feed three sets of transmit-receive horn antennas directed at a common target volume such that measurements will give spatially and temporally coincident measurements of falling ash. In addition, there will be independent measurement of the PSD using optical imaging and logging of the landing particle mass to calibrate results and inform analysis. The aim of R4AsH is to develop a triplefrequency inversion algorithm to enable simultaneous retrieval of PSD and ash concentration from radar data suitable for future volcano monitoring systems.

AB - Airborne ash generated by explosive volcanic eruptions presents a significant danger to aviation. Accurate modelling and predictions of the dispersal of hazardous ash into the atmosphere are currently hampered by uncertainties in the a€ source term' parameters associated with the initial eruption plume, specifically the amount and size of ash particles released into the atmosphere. Ground based radar offers the means to remotely measure ash reflectivity, however estimation of source term parameters from reflectivity measured by single frequency radar is limited by ambiguity between the contribution of particle size distribution (PSD) and ash concentration in the plume. This means that one of these parameters must be assumed rather than measured directly, leading to uncertainties in forecasting eruption hazards. We report on R4AsH, a close range FMCW radar designed to resolve this ambiguity by simultaneous characterization of falling volcanic ash in a laboratory-controlled environment at three different frequencies: 10, 35 and 94 GHz. The R4AsH design uses a single DDS based chirp generator as a common source, multiplied and upconverted to feed three sets of transmit-receive horn antennas directed at a common target volume such that measurements will give spatially and temporally coincident measurements of falling ash. In addition, there will be independent measurement of the PSD using optical imaging and logging of the landing particle mass to calibrate results and inform analysis. The aim of R4AsH is to develop a triplefrequency inversion algorithm to enable simultaneous retrieval of PSD and ash concentration from radar data suitable for future volcano monitoring systems.

KW - FMCW radar

KW - Horn antenna

KW - Multi-frequency

KW - Radar Cross Section

KW - Reflectivity

KW - Volcanic Ash

U2 - 10.1117/12.2587613

DO - 10.1117/12.2587613

M3 - Conference contribution/Paper

AN - SCOPUS:85107417448

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Radar Sensor Technology XXV

A2 - Ranney, Kenneth I.

A2 - Raynal, Ann M.

PB - SPIE

Y2 - 12 April 2021 through 16 April 2021

ER -