Articles | Volume 7, issue 4
https://doi.org/10.5194/amt-7-919-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-7-919-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Apr 2014
Research article |
| 04 Apr 2014
Volcanic ash infrared signature: porous non-spherical ash particle shapes compared to homogeneous spherical ash particles
A. Kylling
NILU – Norwegian Institute for Air Research, P.O. Box 100, 2027 Kjeller, Norway
M. Kahnert
Research Department, Swedish Meteorological and Hydrological Institute, Folkborgsvägen 17, 601 76 Norrköping, Sweden
Department of Earth and Space Science, Chalmers University of Technology, 412 96 Gothenburg, Sweden
H. Lindqvist
Department of Physics, P.O. Box 48, 00014 University of Helsinki, Helsinki, Finland
T. Nousiainen
Department of Physics, P.O. Box 48, 00014 University of Helsinki, Helsinki, Finland
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
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- Estimation of the refractive index of volcanic ash from satellite infrared sounder data H. Ishimoto et al. 10.1016/j.rse.2015.12.009
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31 citations as recorded by crossref.
- Determination of complex refractive indices and optical properties of volcanic ashes in the thermal infrared based on generic petrological compositions D. Piontek et al. 10.1016/j.jvolgeores.2021.107174
- Uncertainty assessment and applicability of an inversion method for volcanic ash forecasting B. Steensen et al. 10.5194/acp-17-9205-2017
- Atmospheric Dispersion Modelling at the London VAAC: A Review of Developments since the 2010 Eyjafjallajökull Volcano Ash Cloud F. Beckett et al. 10.3390/atmos11040352
- First-principles modeling of electromagnetic scattering by discrete and discretely heterogeneous random media M. Mishchenko et al. 10.1016/j.physrep.2016.04.002
- Aerosol-optics model for the backscatter depolarisation ratio of mineral dust particles M. Kahnert et al. 10.1016/j.jqsrt.2020.107177
- Measuring the size of non-spherical particles and the implications for grain size analysis in volcanology H. Buckland et al. 10.1016/j.jvolgeores.2021.107257
- Radiative properties of porous fly ash particles based on the particle superposition model Y. Tang et al. 10.1016/j.jqsrt.2021.107977
- Estimation of the refractive index of volcanic ash from satellite infrared sounder data H. Ishimoto et al. 10.1016/j.rse.2015.12.009
- Two-dimensional small-angle scattering from single particles in infrared with a lensless technique R. Ceolato et al. 10.1364/OE.397699
- Particle-filter-based volcanic ash emission inversion applied to a hypothetical sub-Plinian Eyjafjallajökull eruption using the Ensemble for Stochastic Integration of Atmospheric Simulations (ESIAS-chem) version 1.0 P. Franke et al. 10.5194/gmd-15-1037-2022
- Porous aerosol in degassing plumes of Mt. Etna and Mt. Stromboli V. Shcherbakov et al. 10.5194/acp-16-11883-2016
- Non-linear modelling of the adsorption of Indigo Carmine dye from wastewater onto characterized activated carbon/volcanic ash composite G. Agbor Tabi et al. 10.1016/j.arabjc.2021.103515
- Direct comparison between single-scattering properties of ordered and disordered aggregates of nano-sized scattering centers M. Sela & C. Haspel 10.1364/AO.440466
- Modelling radiometric properties of inhomogeneous mineral dust particles: Applicability and limitations of effective medium theories M. Kahnert 10.1016/j.jqsrt.2014.10.025
- Atmospheric processes affecting the separation of volcanic ash and SO<sub>2</sub> in volcanic eruptions: inferences from the May 2011 Grímsvötn eruption F. Prata et al. 10.5194/acp-17-10709-2017
- Simulating atmospheric transport of the 2011 Grímsvötn ash cloud using a data insertion update scheme K. Wilkins et al. 10.1016/j.atmosenv.2016.06.045
- FALL3D-8.0: a computational model for atmospheric transport and deposition of particles, aerosols and radionuclides – Part 2: Model validation A. Prata et al. 10.5194/gmd-14-409-2021
- Volcanic Cloud Detection and Retrieval Using Satellite Multisensor Observations F. Romeo et al. 10.3390/rs15040888
- Multisatellite Multisensor Observations of a Sub-Plinian Volcanic Eruption: The 2015 Calbuco Explosive Event in Chile F. Marzano et al. 10.1109/TGRS.2017.2769003
- A model sensitivity study of the impact of clouds on satellite detection and retrieval of volcanic ash A. Kylling et al. 10.5194/amt-8-1935-2015
- Big grains go far: understanding the discrepancy between tephrochronology and satellite infrared measurements of volcanic ash J. Stevenson et al. 10.5194/amt-8-2069-2015
- The impact of particle shape on fall velocity: Implications for volcanic ash dispersion modelling J. Saxby et al. 10.1016/j.jvolgeores.2018.08.006
- Uncertainty-bounded estimates of ash cloud properties using the ORAC algorithm: application to the 2019 Raikoke eruption A. Prata et al. 10.5194/amt-15-5985-2022
- Ash and ice clouds during the Mt Kelud February 2014 eruption as interpreted from IASI and AVHRR/3 observations A. Kylling 10.5194/amt-9-2103-2016
- Solving the inverse problem for coarse-mode aerosol particle morphology with digital holography M. Berg et al. 10.1038/s41598-017-09957-w
- Optical modeling of volcanic ash particles using ellipsoids S. Merikallio et al. 10.1002/2014JD022792
- How much information do extinction and backscattering measurements contain about the chemical composition of atmospheric aerosol? M. Kahnert & E. Andersson 10.5194/acp-17-3423-2017
- Multi-Sensor Analysis of a Weak and Long-Lasting Volcanic Plume Emission S. Scollo et al. 10.3390/rs12233866
- Quantifying the mass loading of particles in an ash cloud remobilized from tephra deposits on Iceland F. Beckett et al. 10.5194/acp-17-4401-2017
- Optimising shape analysis to quantify volcanic ash morphology E. Liu et al. 10.1016/j.grj.2015.09.001
- The concept of apparent polarizability for calculating the extinction of electromagnetic radiation by porous aerosol particles C. Haspel & G. Adler 10.1002/2016JD026249
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