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Visualizing weather radar data from volcanic eruption clouds

This paper is submitted to accompany the article “Analyses of three-dimensional weather radar data from volcanic eruption clouds” [1]; it describes three-dimensional (3D) visualizations of the Sakurajima volcanic eruption clouds and the weather radar data used for analyses, as well as their availabi...

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Detalles Bibliográficos
Autores principales: Maki, Masayuki, Kim, Yura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005763/
https://www.ncbi.nlm.nih.gov/pubmed/33816730
http://dx.doi.org/10.1016/j.dib.2021.106942
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author Maki, Masayuki
Kim, Yura
author_facet Maki, Masayuki
Kim, Yura
author_sort Maki, Masayuki
collection PubMed
description This paper is submitted to accompany the article “Analyses of three-dimensional weather radar data from volcanic eruption clouds” [1]; it describes three-dimensional (3D) visualizations of the Sakurajima volcanic eruption clouds and the weather radar data used for analyses, as well as their availability and downloading procedures. The radar data were acquired by an operational X-band weather radar located approximately 11 km south of the Showa vent of Sakurajima in Kagoshima, Japan. The original raw radar data are available from the “XRAIN Precipitation Original Data search and Download System”, which is hosted on the website “Data Integration and Analysis System (DIAS)”. Animated images of the radar data shown here, which provide a visual explanation of the temporal evolution and the inner structure of volcanic eruption clouds, were created using the program “Analysis Tools of Three-dimensional Weather Radar Data (AN3D)”. The detailed methods of ANT3D are provided in the co-submitted article “Construction of three-dimensional weather radar data from volcanic eruption clouds” [2].
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spelling pubmed-80057632021-04-01 Visualizing weather radar data from volcanic eruption clouds Maki, Masayuki Kim, Yura Data Brief Data Article This paper is submitted to accompany the article “Analyses of three-dimensional weather radar data from volcanic eruption clouds” [1]; it describes three-dimensional (3D) visualizations of the Sakurajima volcanic eruption clouds and the weather radar data used for analyses, as well as their availability and downloading procedures. The radar data were acquired by an operational X-band weather radar located approximately 11 km south of the Showa vent of Sakurajima in Kagoshima, Japan. The original raw radar data are available from the “XRAIN Precipitation Original Data search and Download System”, which is hosted on the website “Data Integration and Analysis System (DIAS)”. Animated images of the radar data shown here, which provide a visual explanation of the temporal evolution and the inner structure of volcanic eruption clouds, were created using the program “Analysis Tools of Three-dimensional Weather Radar Data (AN3D)”. The detailed methods of ANT3D are provided in the co-submitted article “Construction of three-dimensional weather radar data from volcanic eruption clouds” [2]. Elsevier 2021-03-06 /pmc/articles/PMC8005763/ /pubmed/33816730 http://dx.doi.org/10.1016/j.dib.2021.106942 Text en © 2021 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Maki, Masayuki
Kim, Yura
Visualizing weather radar data from volcanic eruption clouds
title Visualizing weather radar data from volcanic eruption clouds
title_full Visualizing weather radar data from volcanic eruption clouds
title_fullStr Visualizing weather radar data from volcanic eruption clouds
title_full_unstemmed Visualizing weather radar data from volcanic eruption clouds
title_short Visualizing weather radar data from volcanic eruption clouds
title_sort visualizing weather radar data from volcanic eruption clouds
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005763/
https://www.ncbi.nlm.nih.gov/pubmed/33816730
http://dx.doi.org/10.1016/j.dib.2021.106942
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