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Data that effectively demonstrate the benefits of a 3D CAPPI algorithm

The data presented in this article are related to the research article entitled “Three-dimensional analysis of the initial stage of convective precipitation using an operational X-band polarimetric radar network” [1]. The data presented were obtained using a three-dimensional constant-altitude plan-...

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Detalles Bibliográficos
Autores principales: Kim, Yura, Maki, Masayuki, Lee, Dong-In
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595704/
https://www.ncbi.nlm.nih.gov/pubmed/31294063
http://dx.doi.org/10.1016/j.dib.2019.104116
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author Kim, Yura
Maki, Masayuki
Lee, Dong-In
author_facet Kim, Yura
Maki, Masayuki
Lee, Dong-In
author_sort Kim, Yura
collection PubMed
description The data presented in this article are related to the research article entitled “Three-dimensional analysis of the initial stage of convective precipitation using an operational X-band polarimetric radar network” [1]. The data presented were obtained using a three-dimensional constant-altitude plan-position-indicator (3D CAPPI), which was generated by a new method proposed by [1]. The data used to create the 3D CAPPI were derived from two X-band polarimetric radar installations in the Kanto region of Japan, Ebina (139.39°E, 35.40°N), and Shin-yokohama (139.60°E, 35.51°N). These data are superior to operational radar data in terms of their temporal and spatial resolution. These high resolution data can indicate a rapidly developing storm, such as localized precipitation. It is particularly important to understand the early stages of storms in terms of numerical and short-term models. These data show the time of appearance, life cycle, and evolution of each cell that constitutes a storm in three-dimensional detail.
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spelling pubmed-65957042019-07-10 Data that effectively demonstrate the benefits of a 3D CAPPI algorithm Kim, Yura Maki, Masayuki Lee, Dong-In Data Brief Earth and Planetary Science The data presented in this article are related to the research article entitled “Three-dimensional analysis of the initial stage of convective precipitation using an operational X-band polarimetric radar network” [1]. The data presented were obtained using a three-dimensional constant-altitude plan-position-indicator (3D CAPPI), which was generated by a new method proposed by [1]. The data used to create the 3D CAPPI were derived from two X-band polarimetric radar installations in the Kanto region of Japan, Ebina (139.39°E, 35.40°N), and Shin-yokohama (139.60°E, 35.51°N). These data are superior to operational radar data in terms of their temporal and spatial resolution. These high resolution data can indicate a rapidly developing storm, such as localized precipitation. It is particularly important to understand the early stages of storms in terms of numerical and short-term models. These data show the time of appearance, life cycle, and evolution of each cell that constitutes a storm in three-dimensional detail. Elsevier 2019-06-11 /pmc/articles/PMC6595704/ /pubmed/31294063 http://dx.doi.org/10.1016/j.dib.2019.104116 Text en © 2019 The Authors 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 Earth and Planetary Science
Kim, Yura
Maki, Masayuki
Lee, Dong-In
Data that effectively demonstrate the benefits of a 3D CAPPI algorithm
title Data that effectively demonstrate the benefits of a 3D CAPPI algorithm
title_full Data that effectively demonstrate the benefits of a 3D CAPPI algorithm
title_fullStr Data that effectively demonstrate the benefits of a 3D CAPPI algorithm
title_full_unstemmed Data that effectively demonstrate the benefits of a 3D CAPPI algorithm
title_short Data that effectively demonstrate the benefits of a 3D CAPPI algorithm
title_sort data that effectively demonstrate the benefits of a 3d cappi algorithm
topic Earth and Planetary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595704/
https://www.ncbi.nlm.nih.gov/pubmed/31294063
http://dx.doi.org/10.1016/j.dib.2019.104116
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