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12 results for “volcanic plume”
East African topography and volcanism explained by a single, migrating plume: supplementary data
<p>These data accompany the following paper:</p> <p>Hassan, R., Williams, S.E., Gurnis, M. and Müller, D., 2020. East African topography and volcanism explained by a single, migrating plume. <em>Geoscience Frontiers</em>, <em>11</em>(5), pp.1669-1680.</p> <p>The data (in simple text form) correspond to the dynamic topography and change in dynamic topography shown in Figure 7.</p>
Data depository - "Quantifying the effect of wind on volcanic plumes: implications for plume modelling"
<p>This depository contains all data to understand, evaluate, and build upon the research reported in the manuscript: "Quantifying the effect of wind on volcanic plumes: implications for plume modelling", submitted to Journal of Geophysical Research.</p> <p><strong>Abstract</strong></p> <p>The considerable effects that wind can have on estimates of mass eruption rates (MERs) in explosive eruptions based on volcanic plume height are well known but difficult to quantify rigorously. Many explicitly wind-affected plume models have the additional difficulty that they require the use of centerline heights of bent-over plumes, a parameter not easily obtained directly from observational data. We tested two such models by using the time series of varying plume heights and wind speeds of the 2010 Eyjafjallajökull eruption. The mapped fallout and photos taken during this eruption allow us to estimate the plume geometry and to empirically constrain input parameters for the two models tested. Two strategies are presented to correct the difference in maximum plume height and centerline height: (i) based on plume radius, and (ii) by using the plume type parameter ∏, which quantifies the relative influence of buoyancy and cross-wind on the plume dynamics, to discriminate weak, intermediate and strong plumes. The results indicate that it may be more appropriate to classify plumes as either wind-dominated, intermediate or buoyancy-dominated, where the relative effects of both wind and MER define the type. The analysis of the Eyjafjallajökull data shows that the MER estimates from both models are considerably improved when a plume-type dependent centreline-correction is applied and the wind entrainment coefficient <em>β</em> is refined. For this particular eruption, we find that the best value for <em>β</em> lies between 0.22 and 0.34, unlike previous suggestions that set this parameter to 0.50.</p>
Plume origin of the post-spreading intraplate volcanism within and around the South China Sea
<p>This dataset contains the manually picked surface wave dispersion data and the final inverted 3-D Vs model data for our research paper "Plume origin of the post-spreading intraplate volcanism within and around the South China Sea".</p>
Lightning and volcanic plume data from the climactic eruption of Hunga Volcano, Tonga, in January 2022
<p>This dataset contains lightning and volcanic plume data for the eruption of Hunga Volcano in Tonga from 13–15 January 2022. The dataset consists of two files. The first is a spreadsheet containing four tabs: (1) Ground-based flashes, which include lightning flashes from combined ground-based networks from 13–15 January 2022; (2) Ground-based rates, which include flash rates and pulse rates in one-minute bins from 13–15 January 2022 using the combined networks; (3) Optical GLM flashes & rates, which include GLM flashes and per-minute rates from 15 January 2022; and (4) Volcanic plume dimensions, which include maximum plume heights and umbrella radii through time on 15 January 2022. The second file is a Google Earth KMZ file of umbrella cloud areas outlined from stereoscopic cloud height retrievals from 04:17–07:07 UTC on 15 January 2022. Refer to journal article "Lightning rings and gravity waves: Insights into the giant eruption plume from Tonga’s Hunga Volcano on 15 January 2022" published in Geophysical Research Letters for further details about data processing. </p>
Dataset for Multiphase turbulent flow explains lightning rings in volcanic plumes
<p>Datasets for all figures in "Multiphase turbulent flow explains lightning rings in volcanic plumes." Data comes from observations of the Hunga Tonga-Hunga Ha’apai (HTHH) eruption on January 15, 2022, and from numerical simulations of the Boussinesq equations with inertial particles using the GHOST code. Observational data is provided in CSV and Matlab FIG format. Data from numerical simulations is provided in NetCDF files with Python scripts giving examples on how to read the files.</p>
GEOS-Chem nested simulation over the Kīlauea volcanic plume
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Volcanic plume recorded during the eruption of Eyjafjallajökull (Iceland) in 4 May 2010
<p>This repositery contains a video showing the volcanic plume associated with the eruption of Eyjafjallajökull (Iceland) on 4 May 2010 (Starting at 12:49:21 GMT). The video was recorded from a position 7.7 km south of the vent (0568182E, 7047683N) using a Sony HD-SR8e camera operating at 25 fps and at a resolution of 1440 × 810 px. </p>
In-plume and out-of-plume analysis of aerosol-cloud interactions derived from the 2014-15 Holuhraun volcanic eruption
<p>This dataset contains simplified data and code to reproduce the main figures in "In-plume and out-of-plume analysis of aerosol-cloud interactions derived from the 2014-15 Holuhraun volcanic eruption", accepted for publication in Atmospheric Chemistry and Physics, 2024, same authors.</p>
Plume-induced post-spreading intraplate volcanism within and around the South China Sea
<p>This dataset contains the manually picked surface wave dispersion data and the final inverted 3-D Vs model data for our research paper "Plume-induced post-spreading intraplate volcanism within and around the South China Sea".</p>
Data from: Modeling GPS signal propagation through volcanic plumes
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MISR Derived Case Study Data for Kilauea Volcanic Eruptions Including Geometric Plume Height and Qualitative Radiometric Particle Property Information
The KILVOLC_FlowerKahn2021_1 dataset is the MISR Derived Case Study Data for Kilauea Volcanic Eruptions Including Geometric Plume Height and Qualitative Radiometric Particle Property Information version 1 dataset. It comprises MISR-derived output from a comprehensive analysis of Kilauea volcanic eruptions (2000-2018). Data collection for this dataset is complete. The data presented here are analyzed and discussed in the following paper: Flower, V.J.B., and R.A. Kahn, 2021. Twenty years of NASA-EOS multi-sensor satellite observations at Kīlauea volcano (2000-2019). J. Volc. Geo. Res. (in press).The data is subdivided by date and MISR orbit number. Within each case folder, there are up to 11 files relating to an individual MISR overpass. Files include plume height records (from both the red and blue spectral bands) derived from the MISR INteractive eXplorer (MINX) program, displayed in: map view, downwind profile plot (along with the associated wind vectors retrieved at plume elevation), a histogram of retrieved plume heights and a text file containing the digital plume height values. An additional JPG is included delineating the plume analysis region, start point for assessing downwind distance, and input wind direction used to initialize the MINX retrieval. A final two files are generated from the MISR Research Aerosol (RA) retrieval algorithm (Limbacher, J.A., and R.A. Kahn, 2014. MISR Research-Aerosol-Algorithm: Refinements For Dark Water Retrievals. Atm. Meas. Tech. 7, 1-19, doi:10.5194/amt-7-1-2014). These files include the RA model output in HDF5, and an associated JPG of key derived variables (e.g. Aerosol Optical Depth, Angstrom Exponent, Single Scattering Albedo, Fraction of Non-Spherical components, model uncertainty classifications and example camera views). File numbers per folder vary depending on the retrieval conditions of specific observations. RA plume retrievals are limited when cloud cover was widespread or the solar radiance was insufficient to run the RA. In these cases the RA files are not included in the individual folders. In cases where activity was observed from multiple volcanic zones in a single overpass, individual folders containing data relating to a single region, are included, and defined by a qualifier (e.g. '_1').
MISR Derived Case Study Data for Iceland Volcanic Eruptions (Eyjafjallajokull, Grimsvotn, Holuhraun) Including Geometric Plume Height and Qualitative Radiometric Particle Property Information
This dataset comprises MISR-derived output from a comprehensive analysis of Icelandic volcano eruptions (Eyjafjallajokull 2010, Grimsvotn 2011, Holuhraun 2014-2015). The data presented here are analyzed and discussed in the following paper: Flower, V.J.B., and R.A. Kahn, 2020. The evolution of Icelandic volcano emissions, as observed from space in the era of NASA’s Earth Observing System (EOS). J. Geophys. Res. Atmosph. (in press).The data is subdivided by volcano of origin, date and MISR orbit number. Within each case folder there are up to 11 files relating to an individual MISR overpass. Files include plume height records (from both the red and blue spectral bands) derived from the MISR INteractive eXplorer (MINX) program, displayed in: map view, downwind profile plot (along with the associated wind vectors retrieved at plume elevation), a histogram of retrieved plume heights and a text file containing the digital plume height values. An additional JPG is included delineating the plume analysis region, start point for assessing downwind distance, and input wind direction used to initialize the MINX retrieval. A final two files are generated from the MISR Research Aerosol (RA) retrieval algorithm (Limbacher, J.A., and R.A. Kahn, 2014. MISR Research-Aerosol-Algorithm: Refinements For Dark Water Retrievals. Atm. Meas. Tech. 7, 1-19, doi:10.5194/amt-7-1-2014). These files include the RA model output in HDF5, and an associated JPG of key derived variables (e.g. Aerosol Optical Depth, Angstrom Exponent, Single Scattering Albedo, Fraction of Non-Spherical components, model uncertainty classifications and example camera views). File numbers per folder vary depending on the retrieval conditions of specific observations. RA plume retrievals are limited when cloud cover was widespread or the solar radiance was insufficient to run the RA. In these cases the RA files are not included in the individual folders.
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