Articles | Volume 21, issue 16
https://doi.org/10.5194/acp-21-12189-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-12189-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Geometric estimation of volcanic eruption column height from GOES-R near-limb imagery – Part 1: Methodology
Ákos Horváth
CORRESPONDING AUTHOR
Meteorological Institute, Universität Hamburg, Hamburg, Germany
James L. Carr
Carr Astronautics, Greenbelt, MD, USA
Olga A. Girina
Institute of Volcanology and Seismology, Far East Branch of the
Russian Academy of Sciences (IVS FEB RAS), Petropavlovsk-Kamchatsky, Russia
Dong L. Wu
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Alexey A. Bril
Space Research Institute of the Russian Academy of Sciences (SRI RAS),
Moscow, Russia
Alexey A. Mazurov
Space Research Institute of the Russian Academy of Sciences (SRI RAS),
Moscow, Russia
Dmitry V. Melnikov
Institute of Volcanology and Seismology, Far East Branch of the
Russian Academy of Sciences (IVS FEB RAS), Petropavlovsk-Kamchatsky, Russia
Gholam Ali Hoshyaripour
Institute of Meteorology and Climate Research, Karlsruhe Institute of
Technology (KIT), Karlsruhe, Germany
Stefan A. Buehler
Meteorological Institute, Universität Hamburg, Hamburg, Germany
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We estimate plume heights for the April 2021 La Soufrière daytime eruptions using GOES-17 near-limb side views and GOES-16–MODIS stereo views. These geometric heights are then compared with brightness-temperature-based radiometric height estimates to characterize the biases of the latter. We also show that the side view method can be applied to infrared imagery and thus nighttime eruptions, albeit with larger uncertainty.
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The E-region of the Earth’s ionosphere plays an important role in atmospheric energy balance and High Frequency radio propagation. In this paper, we compare predictions from two recently developed ionospheric models to observations by ionospheric sounders (ionosondes). Overall, the models show reasonable agreement with the observations. However, there are several areas for improvement in the models as well as questions about the accuracy of the automatically processed ionosonde dataset.
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Ákos Horváth, James L. Carr, Dong L. Wu, Julia Bruckert, Gholam Ali Hoshyaripour, and Stefan A. Buehler
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We estimate plume heights for the April 2021 La Soufrière daytime eruptions using GOES-17 near-limb side views and GOES-16–MODIS stereo views. These geometric heights are then compared with brightness-temperature-based radiometric height estimates to characterize the biases of the latter. We also show that the side view method can be applied to infrared imagery and thus nighttime eruptions, albeit with larger uncertainty.
Theresa Mieslinger, Bjorn Stevens, Tobias Kölling, Manfred Brath, Martin Wirth, and Stefan A. Buehler
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Julia Bruckert, Gholam Ali Hoshyaripour, Ákos Horváth, Lukas O. Muser, Fred J. Prata, Corinna Hoose, and Bernhard Vogel
Atmos. Chem. Phys., 22, 3535–3552, https://doi.org/10.5194/acp-22-3535-2022, https://doi.org/10.5194/acp-22-3535-2022, 2022
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Volcanic emissions endanger aviation and public health and also influence weather and climate. Forecasting the volcanic-plume dispersion is therefore a critical yet sophisticated task. Here, we show that explicit treatment of volcanic-plume dynamics and eruption source parameters significantly improves volcanic-plume dispersion forecasts. We further demonstrate the lofting of the SO2 due to a heating of volcanic particles by sunlight with major implications for volcanic aerosol research.
Simon Pfreundschuh, Stuart Fox, Patrick Eriksson, David Duncan, Stefan A. Buehler, Manfred Brath, Richard Cotton, and Florian Ewald
Atmos. Meas. Tech., 15, 677–699, https://doi.org/10.5194/amt-15-677-2022, https://doi.org/10.5194/amt-15-677-2022, 2022
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We test a novel method to remotely measure ice particles in clouds. This is important because such measurements are required to improve climate and weather models. The method combines a radar with newly developed sensors measuring microwave radiation at very short wavelengths. We use observations made from aircraft flying above the cloud and compare them to real measurements from inside the cloud. This works well given that one can model the ice particles in the cloud sufficiently well.
Jie Gong, Dong L. Wu, and Patrick Eriksson
Earth Syst. Sci. Data, 13, 5369–5387, https://doi.org/10.5194/essd-13-5369-2021, https://doi.org/10.5194/essd-13-5369-2021, 2021
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Launched from the International Space Station, the IceCube radiometer orbited the Earth for 15 months and collected the first spaceborne radiance measurements at 874–883 GHz. This channel is uniquely important to fill in the sensitivity gap between operational visible–infrared and microwave remote sensing for atmospheric cloud ice and snow. This paper delivers the IceCube Level 1 radiance data processing algorithm and provides a data quality evaluation and discussion on its scientific merit.
Marc Prange, Manfred Brath, and Stefan A. Buehler
Atmos. Meas. Tech., 14, 7025–7044, https://doi.org/10.5194/amt-14-7025-2021, https://doi.org/10.5194/amt-14-7025-2021, 2021
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We investigate the ability of the hyperspectral infrared satellite instrument IASI to resolve moist layers in the tropical free troposphere in a model framework. Previous observational results indicated major deficiencies of passive satellite instruments in resolving moist layers around the freezing level. We conduct a first systematic hyperspectral infrared retrieval analysis of such moist layers and conclude that no inherent satellite blind spot for moist layers exists.
Bjorn Stevens, Sandrine Bony, David Farrell, Felix Ament, Alan Blyth, Christopher Fairall, Johannes Karstensen, Patricia K. Quinn, Sabrina Speich, Claudia Acquistapace, Franziska Aemisegger, Anna Lea Albright, Hugo Bellenger, Eberhard Bodenschatz, Kathy-Ann Caesar, Rebecca Chewitt-Lucas, Gijs de Boer, Julien Delanoë, Leif Denby, Florian Ewald, Benjamin Fildier, Marvin Forde, Geet George, Silke Gross, Martin Hagen, Andrea Hausold, Karen J. Heywood, Lutz Hirsch, Marek Jacob, Friedhelm Jansen, Stefan Kinne, Daniel Klocke, Tobias Kölling, Heike Konow, Marie Lothon, Wiebke Mohr, Ann Kristin Naumann, Louise Nuijens, Léa Olivier, Robert Pincus, Mira Pöhlker, Gilles Reverdin, Gregory Roberts, Sabrina Schnitt, Hauke Schulz, A. Pier Siebesma, Claudia Christine Stephan, Peter Sullivan, Ludovic Touzé-Peiffer, Jessica Vial, Raphaela Vogel, Paquita Zuidema, Nicola Alexander, Lyndon Alves, Sophian Arixi, Hamish Asmath, Gholamhossein Bagheri, Katharina Baier, Adriana Bailey, Dariusz Baranowski, Alexandre Baron, Sébastien Barrau, Paul A. Barrett, Frédéric Batier, Andreas Behrendt, Arne Bendinger, Florent Beucher, Sebastien Bigorre, Edmund Blades, Peter Blossey, Olivier Bock, Steven Böing, Pierre Bosser, Denis Bourras, Pascale Bouruet-Aubertot, Keith Bower, Pierre Branellec, Hubert Branger, Michal Brennek, Alan Brewer, Pierre-Etienne Brilouet, Björn Brügmann, Stefan A. Buehler, Elmo Burke, Ralph Burton, Radiance Calmer, Jean-Christophe Canonici, Xavier Carton, Gregory Cato Jr., Jude Andre Charles, Patrick Chazette, Yanxu Chen, Michal T. Chilinski, Thomas Choularton, Patrick Chuang, Shamal Clarke, Hugh Coe, Céline Cornet, Pierre Coutris, Fleur Couvreux, Susanne Crewell, Timothy Cronin, Zhiqiang Cui, Yannis Cuypers, Alton Daley, Gillian M. Damerell, Thibaut Dauhut, Hartwig Deneke, Jean-Philippe Desbios, Steffen Dörner, Sebastian Donner, Vincent Douet, Kyla Drushka, Marina Dütsch, André Ehrlich, Kerry Emanuel, Alexandros Emmanouilidis, Jean-Claude Etienne, Sheryl Etienne-Leblanc, Ghislain Faure, Graham Feingold, Luca Ferrero, Andreas Fix, Cyrille Flamant, Piotr Jacek Flatau, Gregory R. Foltz, Linda Forster, Iulian Furtuna, Alan Gadian, Joseph Galewsky, Martin Gallagher, Peter Gallimore, Cassandra Gaston, Chelle Gentemann, Nicolas Geyskens, Andreas Giez, John Gollop, Isabelle Gouirand, Christophe Gourbeyre, Dörte de Graaf, Geiske E. de Groot, Robert Grosz, Johannes Güttler, Manuel Gutleben, Kashawn Hall, George Harris, Kevin C. Helfer, Dean Henze, Calvert Herbert, Bruna Holanda, Antonio Ibanez-Landeta, Janet Intrieri, Suneil Iyer, Fabrice Julien, Heike Kalesse, Jan Kazil, Alexander Kellman, Abiel T. Kidane, Ulrike Kirchner, Marcus Klingebiel, Mareike Körner, Leslie Ann Kremper, Jan Kretzschmar, Ovid Krüger, Wojciech Kumala, Armin Kurz, Pierre L'Hégaret, Matthieu Labaste, Tom Lachlan-Cope, Arlene Laing, Peter Landschützer, Theresa Lang, Diego Lange, Ingo Lange, Clément Laplace, Gauke Lavik, Rémi Laxenaire, Caroline Le Bihan, Mason Leandro, Nathalie Lefevre, Marius Lena, Donald Lenschow, Qiang Li, Gary Lloyd, Sebastian Los, Niccolò Losi, Oscar Lovell, Christopher Luneau, Przemyslaw Makuch, Szymon Malinowski, Gaston Manta, Eleni Marinou, Nicholas Marsden, Sebastien Masson, Nicolas Maury, Bernhard Mayer, Margarette Mayers-Als, Christophe Mazel, Wayne McGeary, James C. McWilliams, Mario Mech, Melina Mehlmann, Agostino Niyonkuru Meroni, Theresa Mieslinger, Andreas Minikin, Peter Minnett, Gregor Möller, Yanmichel Morfa Avalos, Caroline Muller, Ionela Musat, Anna Napoli, Almuth Neuberger, Christophe Noisel, David Noone, Freja Nordsiek, Jakub L. Nowak, Lothar Oswald, Douglas J. Parker, Carolyn Peck, Renaud Person, Miriam Philippi, Albert Plueddemann, Christopher Pöhlker, Veronika Pörtge, Ulrich Pöschl, Lawrence Pologne, Michał Posyniak, Marc Prange, Estefanía Quiñones Meléndez, Jule Radtke, Karim Ramage, Jens Reimann, Lionel Renault, Klaus Reus, Ashford Reyes, Joachim Ribbe, Maximilian Ringel, Markus Ritschel, Cesar B. Rocha, Nicolas Rochetin, Johannes Röttenbacher, Callum Rollo, Haley Royer, Pauline Sadoulet, Leo Saffin, Sanola Sandiford, Irina Sandu, Michael Schäfer, Vera Schemann, Imke Schirmacher, Oliver Schlenczek, Jerome Schmidt, Marcel Schröder, Alfons Schwarzenboeck, Andrea Sealy, Christoph J. Senff, Ilya Serikov, Samkeyat Shohan, Elizabeth Siddle, Alexander Smirnov, Florian Späth, Branden Spooner, M. Katharina Stolla, Wojciech Szkółka, Simon P. de Szoeke, Stéphane Tarot, Eleni Tetoni, Elizabeth Thompson, Jim Thomson, Lorenzo Tomassini, Julien Totems, Alma Anna Ubele, Leonie Villiger, Jan von Arx, Thomas Wagner, Andi Walther, Ben Webber, Manfred Wendisch, Shanice Whitehall, Anton Wiltshire, Allison A. Wing, Martin Wirth, Jonathan Wiskandt, Kevin Wolf, Ludwig Worbes, Ethan Wright, Volker Wulfmeyer, Shanea Young, Chidong Zhang, Dongxiao Zhang, Florian Ziemen, Tobias Zinner, and Martin Zöger
Earth Syst. Sci. Data, 13, 4067–4119, https://doi.org/10.5194/essd-13-4067-2021, https://doi.org/10.5194/essd-13-4067-2021, 2021
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The EUREC4A field campaign, designed to test hypothesized mechanisms by which clouds respond to warming and benchmark next-generation Earth-system models, is presented. EUREC4A comprised roughly 5 weeks of measurements in the downstream winter trades of the North Atlantic – eastward and southeastward of Barbados. It was the first campaign that attempted to characterize the full range of processes and scales influencing trade wind clouds.
Ákos Horváth, Olga A. Girina, James L. Carr, Dong L. Wu, Alexey A. Bril, Alexey A. Mazurov, Dmitry V. Melnikov, Gholam Ali Hoshyaripour, and Stefan A. Buehler
Atmos. Chem. Phys., 21, 12207–12226, https://doi.org/10.5194/acp-21-12207-2021, https://doi.org/10.5194/acp-21-12207-2021, 2021
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We demonstrate the side view plume height estimation technique described in Part 1 on seven volcanic eruptions from 2019 and 2020, including the 2019 Raikoke eruption. We explore the strengths and limitations of the new technique in comparison to height estimation from brightness temperatures, stereo observations, and ground-based video footage.
Hengheng Zhang, Frank Wagner, Harald Saathoff, Heike Vogel, Gholam Ali Hoshyaripour, Vanessa Bachmann, Jochen Förstner, and Thomas Leisner
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-193, https://doi.org/10.5194/amt-2021-193, 2021
Revised manuscript not accepted
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The evolution and the properties of Saharan dust plume were characterized by LIDARs, a sun photometer, and a regional transport model. Comparison between LIDAR measurements, sun photometer and ICON-ART predictions shows a good agreement for dust arrival time, dust layer height, and dust structure but also that the model overestimates the backscatter coefficients by a factor of (2.2 ± 0.16) and underestimate aerosol optical depth by a factor of (1.5 ± 0.11).
Peter Dalin, Hidehiko Suzuki, Nikolay Pertsev, Vladimir Perminov, Nikita Shevchuk, Egor Tsimerinov, Mark Zalcik, Jay Brausch, Tom McEwan, Iain McEachran, Martin Connors, Ian Schofield, Audrius Dubietis, Kazimieras Černis, Alexander Zadorozhny, Andrey Solodovnik, Daria Lifatova, Jesper Grønne, Ole Hansen, Holger Andersen, Dmitry Melnikov, Alexander Manevich, Nikolay Gusev, and Vitaly Romejko
Ann. Geophys. Discuss., https://doi.org/10.5194/angeo-2021-28, https://doi.org/10.5194/angeo-2021-28, 2021
Revised manuscript not accepted
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The 2020 summer season has revealed frequent occurrences of noctilucent clouds around the Northern hemisphere at middle latitudes (45–55° N). We have found that there has been a moderate decrease in the upper mesosphere temperature between 2016 and 2020 and no dramatic changes have been observed in temperature in the summer of 2020 at the middle latitude mesopause. At the same time, water vapor concentration has significantly increased in the zonal mean H2O value in the 2020 summer.
Harald Rybka, Ulrike Burkhardt, Martin Köhler, Ioanna Arka, Luca Bugliaro, Ulrich Görsdorf, Ákos Horváth, Catrin I. Meyer, Jens Reichardt, Axel Seifert, and Johan Strandgren
Atmos. Chem. Phys., 21, 4285–4318, https://doi.org/10.5194/acp-21-4285-2021, https://doi.org/10.5194/acp-21-4285-2021, 2021
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Estimating the impact of convection on the upper-tropospheric water budget remains a problem for models employing resolutions of several kilometers or more. A sub-kilometer high-resolution model is used to study summertime convection. The results suggest mostly close agreement with ground- and satellite-based observational data while slightly overestimating total frozen water path and anvil lifetime. The simulations are well suited to supplying information for parameterization development.
Lukas O. Muser, Gholam Ali Hoshyaripour, Julia Bruckert, Ákos Horváth, Elizaveta Malinina, Sandra Wallis, Fred J. Prata, Alexei Rozanov, Christian von Savigny, Heike Vogel, and Bernhard Vogel
Atmos. Chem. Phys., 20, 15015–15036, https://doi.org/10.5194/acp-20-15015-2020, https://doi.org/10.5194/acp-20-15015-2020, 2020
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Volcanic aerosols endanger aircraft and thus disrupt air travel globally. For aviation safety, it is vital to know the location and lifetime of such aerosols in the atmosphere. Here we show that the interaction of volcanic particles with each other eventually reduces their atmospheric lifetime. Moreover, we demonstrate that sunlight heats these particles, which lifts them several kilometers in the atmosphere. These findings support a more reliable forecast of volcanic aerosol dispersion.
Jie Gong, Xiping Zeng, Dong L. Wu, S. Joseph Munchak, Xiaowen Li, Stefan Kneifel, Davide Ori, Liang Liao, and Donifan Barahona
Atmos. Chem. Phys., 20, 12633–12653, https://doi.org/10.5194/acp-20-12633-2020, https://doi.org/10.5194/acp-20-12633-2020, 2020
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This work provides a novel way of using polarized passive microwave measurements to study the interlinked cloud–convection–precipitation processes. The magnitude of differences between polarized radiances is found linked to ice microphysics (shape, size, orientation and density), mesoscale dynamic and thermodynamic structures, and surface precipitation. We conclude that passive sensors with multiple polarized channel pairs may serve as cheaper and useful substitutes for spaceborne radar sensors.
Clark J. Weaver, Pawan K. Bhartia, Dong L. Wu, Gordon J. Labow, and David E. Haffner
Atmos. Meas. Tech., 13, 5715–5723, https://doi.org/10.5194/amt-13-5715-2020, https://doi.org/10.5194/amt-13-5715-2020, 2020
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Currently, we do not know whether clouds will accelerate or moderate climate. We look to the past and ask whether cloudiness has changed over the last 4 decades. Using a suite of nine satellite instruments, we need to ensure that the first satellite, which was launched in 1980 and died in 1991, observed the same measurement as the eight other satellite instruments used in the record. If the instruments were measuring length and observing a 1.00 m long stick, they would all see 0.99 to 1.01 m.
Guoyong Wen, Alexander Marshak, Si-Chee Tsay, Jay Herman, Ukkyo Jeong, Nader Abuhassan, Robert Swap, and Dong Wu
Atmos. Chem. Phys., 20, 10477–10491, https://doi.org/10.5194/acp-20-10477-2020, https://doi.org/10.5194/acp-20-10477-2020, 2020
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We combine the ground-based observations and radiative transfer model to quantify the impact of the 2017 solar eclipse on surface shortwave irradiation reduction. We find that the eclipse caused local reductions of time-averaged surface flux of about 379 W m-2 (50 %) and 329 W m-2 (46 %) during the ~ 3 h course of the eclipse at the Casper and Columbia sites, respectively. We estimate that the Moon’s shadow caused a reduction of approximately 7 %–8 % in global average surface broadband SW radiation.
Cited articles
Bonadonna, C., Costa, A., Folch, A., and Koyaguchi, T.: Tephra dispersal and
sedimentation, in: The Encyclopedia of Volcanoes, 2nd edn., edited by: Sigurdsson, H., Houghton, B., McNutt, S., Rymer, H.,
Stix, J., Elsevier,
1125–1149, https://doi.org/10.1016/B978-0-12-385938-9.00033-X, 2015.
Bril, A. A., Kashnitskii, A. V., and Uvarov, I. A.: Possibilities for
estimating the heights of volcanic ash plumes in the information system of
remote monitoring of the activity of Kamchatka and Kuril volcanoes
“VolSatView”, Information Technologies in Remote Sensing of the Earth –
RORSE 2018, 171–176, https://doi.org/10.21046/rorse2018.171, 2019.
Carr, J. L., Wu, D. L., Kelly, M. A., and Gong, J.: MISR-GOES 3D winds:
Implications for future LEO-GEO and LEO-LEO winds, Remote Sens., 10, 1885,
https://doi.org/10.3390/rs10121885, 2018.
Carr, J. L., Wu, D. L., Wolfe, R. E., Madani, H., Lin, G. G., and Tan, B.:
Joint 3D-wind retrievals with stereoscopic views from MODIS and GOES, Remote
Sens., 11, 2100, https://doi.org/10.3390/rs11182100, 2019.
Ciddor, P. E.: Refractive index of air: new equations for the visible and
near infrared, Appl. Opt., 35, 1566–1573,
https://doi.org/10.1364/AO.35.001566, 1996.
Coordination Group for Meteorological Satellites (CGMS): LRIT/HRIT Global
Specification, CGMS/DOC/12/0017 Issue 2.8, available at:
https://www.cgms-info.org/documents/cgms-lrit-hrit-global-specification-(v2-8-of-30-oct-2013).pdf (last access: 10 August 2021),
2013.
de Michele, M., Raucoules, D., Corradini, S., Merucci, L., Salerno, G.,
Sellitto, P., and Carboni, E.: Volcanic cloud top height estimation using
the plume elevation model procedure applied to orthorectified Landsat 8
data. Test case: 26 October 2013 Mt. Etna eruption, Remote Sens., 11, 785,
https://doi.org/10.3390/rs11070785, 2019.
Dean, K. G. and Dehn, J. (Eds.): Monitoring volcanoes in the North Pacific:
Observations from space, Springer, Berlin, Heidelberg,
https://doi.org/10.1007/978-3-540-68750-4, 2015.
Ekstrand, A. L., Webley, P. W., Garay, M. J., Dehn, J., Prakash, A., Nelson,
D. L., Dean, K. G., and Steensen, T.: A multi-sensor plume height analysis
of the 2009 Redoubt eruption, J. Volcanol. Geotherm. Res., 259, 170–184,
https://doi.org/10.1016/j.jvolgeores.2012.09.008, 2013.
Flower, V. J. B. and Kahn, R. A.: Assessing the altitude and dispersion of
volcanic plumes using MISR multi-angle imaging from space: Sixteen years of
volcanic activity in the Kamchatka Peninsula, Russia, J. Volcanol. Geotherm.
Res., 337, 1–15, https://doi.org/10.1016/j.jvolgeores.2017.03.010, 2017.
Folch, A., Costa, A., and Macedonio, G.: FPLUME-1.0: An integral volcanic plume model accounting for ash aggregation, Geosci. Model Dev., 9, 431–450, https://doi.org/10.5194/gmd-9-431-2016, 2016.
Gadsden, M.: Polar mesospheric clouds seen from geostationary orbit, J.
Atmos. Sol. Terr. Phy., 62, 31–36,
https://doi.org/10.1016/S1364-6826(99)00099-1, 2000a.
Gadsden, M.: Structure in polar mesospheric clouds seen from a geostationary
spacecraft, Geophys. Res. Lett., 27, 3671–3673,
https://doi.org/10.1029/1999GL003682, 2000b.
Gadsden, M.: Polar mesospheric clouds: The year-to-year changes shown in 17
years of images from both hemispheres, Adv. Space Res., 28, 1083–1088,
https://doi.org/10.1016/S0273-1177(01)80041-7, 2001.
Geissler, P. E. and McMillan, M. T.: Galileo observations of volcanic plumes
on Io, Icarus, 197, 505–518, https://doi.org/10.1016/j.icarus.2008.05.005,
2008.
Girina, O. A. and Gordeev, E. I.: KVERT project: Reducing volcanic hazard to
aviation during explosive eruptions of the Kamchatka and Northern Kuril
volcanoes, Vestn. DVO RAN, 100–109, available at:
https://www.researchgate.net/publication/301628127 (last access: 10 August 2021), 2007.
Girina, O. A., Loupian, E. A., Sorokin, A. A., Melnikov, D. V., Romanova, I.
M., Kashnitskii, A. V., Uvarov, I. A., Malkovsky, S. I., Korolev, S. P.,
Manevich, A. G., and Kramareva, L. S.: Comprehensive monitoring of explosive
volcanic eruptions of Kamchatka, Ed. Girina, O. A.,
Petropavlovsk-Kamchatsky, IVS FEB RAS, 192 pp., available at:
https://elibrary.ru/item.asp?id=37061627 (last access: 10 August 2021), 2018 (in Russian).
Global Volcanism Program: Volcanoes of the World, v. 4.9.0 (4 June 2020),
edited by: Venzke, E, Smithsonian Institution,
https://doi.org/10.5479/si.GVP.VOTW4-2013, 2013.
GOES-R Calibration Working Group and GOES-R Series Program: NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 1b Radiances, NOAA National Centers for Environmental Information, https://doi.org/10.7289/V5BV7DSR, 2017.
GOES R: GOES R Series Product Definition and User's Guide (PUG), 416-R-PUG-L1B-0347 Vol. 3 Revision 2.2, available at: https://www.goes-r.gov/users/docs/PUG-L1b-vol3.pdf (last access: 10 August 2021),
2019.
Gordeev, E. I., Girina, O. A., Lupyan, E. A., Sorokin, A. A., Kramareva, L.
S., Efremov, V. Yu., Kashnitskii, A. V., Uvarov, I. A., Burtsev, M. A.,
Romanova, I. M., Melnikov, D. V., Manevich, A. G., Korolev, S. P., and
Verkhoturov, A. L.: The VolSatView information system for monitoring the
volcanic activity in Kamchatka and on the Kuril Islands, J. Volc. Seism, 10,
382–394, https://doi.org/10.1134/S074204631606004X, 2016.
Hernández-Bernal, J., Sánchez-Lavega, A., del
Río-Gaztelurrutia, T., Hueso, R., Cardesín-Moinelo, A., Ravanis,
E. M., de Burgos-Sierra, A., Titov, D., and Wood, S.: The 2018 Martian
global dust storm over the South Polar Region studied with MEx/VMC, Geophys.
Res. Lett., 46, 10330–10337, https://doi.org/10.1029/2019GL084266, 2019.
Horváth, Á., Bresky, W., Daniels, J., Vogelzang, J., Stoffelen, A.,
Carr, J. L., Wu, D. L., Seethala, C., Günther, T., and Buehler, S. A.:
Evolution of an atmospheric Kármán vortex street from
high-resolution satellite winds: Guadalupe Island case study, J. Geophys.
Res. Atmos., 125, e2019JD032121, https://doi.org/10.1029/2019JD032121, 2020.
Horváth, A., Girina, O. A., Carr, J. L., Wu, D. L., Bril, A. A., Mazurov, A. A., Melnikov, D. V., Hoshyaripour, G. A., and
Buehler, S. A.: Geometric estimation of volcanic eruption column height from
GOES-R near-limb imagery – Part 2: Case studies, Atmos. Chem. Phys., 21, 12207–12226, https://doi.org/10.5194/acp-21-12207-2021, 2021.
Japan
Meteorological Agency: Himawari-8/9 Himawari Standard Data (HSD) User's Guide Version 1.2, Japan
Meteorological Agency, Tokyo, Japan, available at:
https://www.data.jma.go.jp/mscweb/en/himawari89/space_segment/hsd_sample/HS_D_users_guide_en_v13.pdf (last access: 10 August 2021), 2017.
Kalluri, S., Alcala, C., Carr, J., Griffith, P., Lebair, W., Lindsey, D.,
Race, R., Wu, X., and Zierk, S.: From photons to pixels: Processing data
from the Advanced Baseline Imager, Remote Sens., 10, 177,
https://doi.org/10.3390/rs10020177, 2018.
Martí, J. and Ernst, G. G. J. (Eds.): Volcanoes and the Environment,
Cambridge University Press, Cambridge, New York, Melbourne,
https://doi.org/10.1017/S0016756808005621, 2005.
Mastin, L. G., Guffanti, M., Servranckx, R., Webley, P., Barsotti, S., Dean,
K., Durant, A., Ewert, J. W., Neri, A., and Rose, W. I., Schneider, D., Siebert, L., Stunder, B., Swanson, G., Tupper, A., Volentik, A., and Waythomas, C. F.: A
multidisciplinary effort to assign realistic source parameters to models of
volcanic ash-cloud transport and dispersion during eruptions, J. Volcanol.
Geotherm. Res, 186, 10–21,
https://doi.org/10.1016/j.jvolgeores.2009.01.008, 2009.
Merucci, L., Zakšek, K., Carboni, E., and Corradini, S.: Stereoscopic
estimation of volcanic ash cloud-top height from two geostationary
satellites, Remote Sens., 8, 206, https://doi.org/10.3390/rs8030206, 2016.
Miller, S. D., Straka, W. C., Bachmeier, A. S., Schmit, T. J., Partain, P.
T., and Noh, Y.-J.: Earth-viewing satellite perspectives on the Chelyabinsk
meteor event, P. Natl. Acad. Sci. USA, 110, 18092–18097,
https://doi.org/10.1073/pnas.1307965110, 2013.
Muser, L. O., Hoshyaripour, G. A., Bruckert, J., Horváth, Á., Malinina, E., Wallis, S., Prata, F. J., Rozanov, A., von Savigny, C., Vogel, H., and Vogel, B.: Particle aging and aerosol–radiation interaction affect volcanic plume dispersion: evidence from the Raikoke 2019 eruption, Atmos. Chem. Phys., 20, 15015–15036, https://doi.org/10.5194/acp-20-15015-2020, 2020.
National Centers for Environmental
Prediction/National Weather Service/NOAA/U.S. Department of Commerce,
European Centre for Medium-Range Weather Forecasts, and Unidata/University
Corporation for Atmospheric Research: Historical Unidata Internet Data
Distribution (IDD) Gridded Model Data, Research Data Archive at the National
Center for Atmospheric Research, Computational and Information Systems
Laboratory, https://doi.org/10.5065/549X-KE89, 2003.
Nimmo, F., Bills, B. G., Thomas, P. C., and Asmar, S. W.: Geophysical
implications of the long-wavelength topography of Rhea, J. Geophys. Res.,
115, E10008, https://doi.org/10.1029/2010JE003604, 2010.
Noerdlinger, P. D.: Atmospheric refraction effects in Earth remote sensing,
ISPRS J. Photogramm. Remote Sens., 54, 360–373,
https://doi.org/10.1016/S0924-2716(99)00030-1, 1999.
Oberst, J., Elgner, S., Turner, F. S., Perry, M. E., Gaskell, R. W., Zuber,
M. T., Robinson, M. S., and Solomon, S. C.: Radius and limb topography of
Mercury obtained from images acquired during the MESSENGER flybys, Planet.
Space Sci., 59, 1918–1924, https://doi.org/10.1016/j.pss.2011.07.003, 2011.
Pavolonis, M. J., Heidinger, A. K., and Sieglaff, J.: Automated retrievals
of volcanic ash and dust cloud properties from upwelling infrared
measurements, J. Geophys. Res.-Atmos., 118, 1436–1458,
https://doi.org/10.1002/jgrd.50173, 2013.
Peterson, R., Webley, P., D'Amours, R., Servranckx, R., Stunder, B., and
Papp, K.: Volcanic ash transport and dispersion models, In: Monitoring
Volcanoes in the North Pacific: Observations from space,
Springer, Berlin, Heidelberg,
https://doi.org/10.1007/978-3-540-68750-4_7, 2015.
Prata, A. J. and Grant, I. F.: Determination of mass loadings and plume
heights of volcanic ash clouds from satellite data, CSIRO Atmospheric
Research Technical Paper no. 48, available at:
http://www.cmar.csiro.au/e-print/open/prata_2001a.pdf (last access: 10 August 2021), 2001.
Proud, S.: Observation of polar mesospheric clouds by geostationary
satellite sensors, IEEE Geosci. Remote Sens. Lett., 12, 1332–1336,
https://doi.org/10.1109/LGRS.2015.2399532, 2015.
Radke, R. J., Andra, S., Al-Kofahi, O., and Roysam, B.: Image change
detection algorithms: a systematic survey, IEEE Trans. Image Process., 14,
294–307, https://doi.org/10.1109/TIP.2004.838698, 2005.
Sánchez-Lavega, A., García Muñoz, A., García-Melendo, E.,
Pérez-Hoyos, S., Gómez–Forrellad, J. M., Pellier, C., Delcroix, M.,
López-Valverde, M. A., González–Galindo, F., Jaeschke, W., Parker,
D., Phillips, J., and Peach, D.: An extremely high-altitude plume seen at
Mars' morning terminator, Nature, 518, 525–528,
https://doi.org/10.1038/nature14162, 2015.
Sánchez-Lavega, A., Chen-Chen, H., Ordonez-Etxeberria, I., Hueso, R.,
del Rio-Gaztelurrutia, T., Garro, A., Cardesín-Moinelo, A., Titov, D.,
and Wood, S.: Limb clouds and dust on Mars from images obtained by the
Visual Monitoring Camera (VMC) onboard Mars Express, Icarus, 299, 194–205.
https://doi.org/10.1016/j.icarus.2017.07.026, 2018.
Schmit, T. J., Griffith, P., Gunshor, M. M., Daniels, J. M., Goodman, S. J.,
and Lebair, W. J.: A closer look at the ABI on the GOES-R Series, B.
Am. Meteorol. Soc., 98, 681–698, https://doi.org/10.1175/BAMS-D-15-00230.1,
2017.
Scollo, S., Prestifilippo, M., Pecora, E., Corradini, S., Merucci, L.,
Spata, G., and Coltelli, M.: Eruption column height estimation of the
2011–2013 Etna lava fountains, Ann. Geophys., 57, S0214,
https://doi.org/10.4401/ag-6396, 2014.
Simpson, J. J., Jin, Z., and Stitt, J. R.: Cloud shadow detection under
arbitrary viewing and illumination conditions, IEEE Trans. Geosci. Remote
Sens., 38, 972–976, https://doi.org/10.1109/36.841979, 2000a.
Simpson, J. J., McIntire, T., Jin, Z., and Stitt, J. R.: Improved cloud top
height retrieval under arbitrary viewing and illumination conditions using
AVHRR data, Remote Sens. Environ., 72, 95–110,
https://doi.org/10.1016/S0034-4257(99)00095-4, 2000b.
Sparks, R. S. J., Bursik, M. I., Carey, S. N., Gilbert, J. S., Glaze, L.,
Sigurdsson, H., and Woods, A. W.: Volcanic plumes, Wiley, Chichester, UK,
1997.
Spencer, J. R., Stern, S. A., Cheng, A. F., Weaver, H. A., Reuter, D. C.,
Retherford, K., Lunsford, A., Moore, J. M., Abramov, O., Lopes, R. M. C.,
Perry, J. E., Kamp, L., Showalter, M., Jessup, K. L., Marchis, F., Schenk,
P. M., and Dumas, C.: Io volcanism seen by New Horizons: A major eruption of
the Tvashtar volcano, Science, 318, 240–243, https://doi.org/10.1126/science.1147621, 2007.
Strom, R. G., Terrile, R. J., Masursky, H., and Hansen, C.: Volcanic
eruption plumes on Io, Nature, 280, 733–736,
https://doi.org/10.1038/280733a0, 1979.
Takenaka, H., Sakashita, T., Higuchi, A., and Nakajima, T.: Geolocation
correction for geostationary satellite observations by a phase-only
correlation method using a visible channel, Remote Sens., 12, 2472,
https://doi.org/10.3390/rs12152472, 2020.
Tan, B., Dellomo, J., Wolfe, R., and Reth, A.: GOES-16 and GOES-17 ABI INR
Assessment, Proc. SPIE 11127, Earth Observing Systems XXIV, 111271D,
https://doi.org/10.1117/12.2529336, 2019.
Thomas, G. and Siddans, R.: Follow-on to the Inter-comparison of
Satellite-based Volcanic Ash Retrieval Algorithms in Support to
SCOPE-Nowcasting Final report Version 1.0, EUM/C0/18/4600002135/RM, RAL
Space Ref: STDA01188, 36 pp., available at:
https://www.eumetsat.int/media/44311 (last access: 10 August 2021), 2019.
Thomas, P. C., Davies, M. E., Colvin, T. R., Oberst, J., Schuster, P.,
Neukum, G., Carr, M. H., McEwen, A., Schubert, G., and Belton, M. J. S.: The
shape of Io from Galileo limb measurements, Icarus, 135, 175–180,
https://doi.org/10.1006/icar.1998.5987, 1998.
Thomas, P. C.: Sizes, shapes and derived properties of the saturnian
satellites after the Cassini nominal mission, Icarus, 208, 395–401,
https://doi.org/10.1016/j.icarus.2010.01.025, 2010.
Tsuda, T. T., Hozumi, Y., Kawaura, K., Hosokawa, K., Suzuki, H., and
Nakamura, T.: Initial report on polar mesospheric cloud observations by
Himawari-8, Atmos. Meas. Tech., 11, 6163–6168,
https://doi.org/10.5194/amt-11-6163-2018, 2018.
Volentik, A. C. M., Bonadonna, C., Connor, C. B., Connor, L. J., and Rosi,
M.: Modeling tephra dispersal in absence of wind: insights from the
climactic phase of the 2450 BP Plinian eruption of Pululagua volcano
(Ecuador), J. Volcanol. Geotherm. Res., 193, 117–136,
https://doi.org/10.1016/j.jvolgeores.2010.03.011, 2010.
von Savigny, C., Timmreck, C., Buehler, S., Burrows, J., Giorgetta, M.,
Hegerl, G., Horváth, Á., Hoshyaripour, G. A., Hoose, C., Quaas, J.,
Malinina, E., Rozanov, A., Schmidt, H., Thomason, L., Toohey, M., and Vogel,
B.: The Research Unit VolImpact: Revisiting the volcanic impact on
atmosphere and climate – preparations for the next big volcanic eruption,
Meteorol. Z., 29, 3–18, https://doi.org/10.1127/metz/2019/0999, 2020.
Woods, A. W. and Self, S.: Thermal disequilibrium at the top of volcanic
clouds and its effect on estimates of the column height, Nature, 355,
628–630, https://doi.org/10.1038/355628a0, 1992.
Yamamoto, Y., Ichii, K., Higuchi, A., and Takenaka, H.: Geolocation accuracy
assessment of Himawari-8/AHI imagery for application to terrestrial
monitoring, Remote Sens., 12, 1372, https://doi.org/10.3390/rs12091372,
2020.
Zakšek, K., Hort, M., Zaletelj, J., and Langmann, B.: Monitoring volcanic ash cloud top height through simultaneous retrieval of optical data from polar orbiting and geostationary satellites, Atmos. Chem. Phys., 13, 2589–2606, https://doi.org/10.5194/acp-13-2589-2013, 2013.
Zakšek, K., James, M. R., Hort, M., Nogueira, T., and Schilling, K.:
Using picosatellites for 4-D imaging of volcanic clouds: Proof of concept
using ISS photography of the 2009 Sarychev Peak eruption, Remote Sens.
Environ., 210, 519–530, https://doi.org/10.1016/j.rse.2018.02.061, 2018.
Short summary
We give a detailed description of a new technique to estimate the height of volcanic eruption columns from near-limb geostationary imagery. Such oblique angle observations offer spectacular side views of eruption columns protruding from the Earth ellipsoid and thereby facilitate a height-by-angle estimation method. Due to its purely geometric nature, the new technique is unaffected by the limitations of traditional brightness-temperature-based height retrievals.
We give a detailed description of a new technique to estimate the height of volcanic eruption...
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