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

David G. Macfarlane; Ducan A. Robertson; Antonio Capponi

doi:10.1117/12.2587613

12 April 2021 R4AsH: a triple frequency laboratory radar for characterizing falling volcanic ash

David G. Macfarlane, Ducan A. Robertson, Antonio Capponi

Proceedings Volume 11742, Radar Sensor Technology XXV; 1174219 (2021) https://doi.org/10.1117/12.2587613
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

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 ‘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.

Conference Presentation

Citation Download Citation

David G. Macfarlane, Ducan A. Robertson, and Antonio Capponi "R4AsH: a triple frequency laboratory radar for characterizing falling volcanic ash", Proc. SPIE 11742, Radar Sensor Technology XXV, 1174219 (12 April 2021); https://doi.org/10.1117/12.2587613

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