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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-...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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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. |
format | Online Article Text |
id | pubmed-6595704 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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