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Estimation of the Mass Concentration of Volcanic Ash Using Ceilometers: Study of Fresh and Transported Plumes from La Palma Volcano
Título : Estimation of the Mass Concentration of Volcanic Ash Using Ceilometers: Study of Fresh and Transported Plumes from La Palma Volcano
Autor : Bedoya Velásquez, Andrés EstebanHoyos Restrepo, ManuelaBarreto Velasco, ÁfricaGarcía Cabrera, Rosa DeliaRomero Campos, Pedro MiguelGarcía Rodríguez, Omaira ElenaRamos López, RamónRoininen, ReijoToledano, CarlosSicard, MichaëlCeolato, Romain
Palabras clave : Volcano; Remote sensing; Ash particle transport; Ceilometer; Lidar
Fecha de publicación : 2022
Editor: MDPI
Citación : Remote Sensing. 2022, 14(22), 5680
Versión del editor: https://doi.org/10.3390/rs14225680
Resumen : This study presents a synergistic approach to the study of the aerosol optical and microphysical properties measured in La Palma, Spain, during the 2021 eruption of the Cumbre Vieja volcano (from 19 September to 13 December 2021). This study aims to characterize the different phases of the volcanic eruption using the spatio-temporal evolution of the event together with the mass concentration quantification of four different atmospheric layers. The impact of the plume’s pathway that reached the South of France is analyzed. Here, passive and active remote sensors were used, namely CL51 and CL61 ceilometers and AERONET sunphotometers. The attenuated backscattering ranged from 0.8 to 9.1 × 10−6 (msr)−1 and the volume depolarization ratio measured nearby the volcano was up to 0.3. The ash plume remained within the first 4 km agl, with intense episodes that reached mean aerosol optical depth values of up to 0.4. Thirteen study cases were selected where coarse mode was dominant over fine mode. For the data selection, the fine and coarse lidar ratios found were 3.9 ± 0.8 and 21.0 ± 3.8 sr in the north and 6.9 ± 1.8 and 30.1 ± 10.3 sr in the south. The ash mass concentration reached moderate levels with maximum values of up to 313.7 μgm−3.
Patrocinador: This work was financially supported by ONERA within the framework of the PROMETE project 2017–2021; the Spanish Ministry of Science and Innovation (PID2019-103886RB-I00\AEI\10.13039\501100011033); and the H2020 program from the European Union (GA no. 654109, 778349, 871115, 101008004 and 101086690).
URI : http://hdl.handle.net/20.500.11765/14155
ISSN : 2072-4292
Colecciones: Artículos científicos 2019-2022


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