Development of a system for efficient content-based retrieval to analyze large volumes of climate data

Development of a system for efficient content-based retrieval to analyze large volumes of climate data

Abstract Analyses of large ensemble data on future climate are significantly useful for the probabilistic future projection of climate change in various interdisciplinary fields. However, the data volume of the Database for Policy Decision making for Future climate change or d4PDF, which is a mega-e...

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Bibliographic Details
Main Authors: Yujin Nakagawa, Yosuke Onoue, Shitnaro Kawahara, Fumiaki Araki, Koji Koyamada, Daisuke Matsuoka, Yoichi Ishikawa, Mikiko Fujita, Shiori Sugimoto, Yasuko Okada, Sho Kawazoe, Shingo Watanabe, Masayoshi Ishii, Ryo Mizuta, Akihiko Murata, Hiroaki Kawase
Format: Article
Language:English
Published: SpringerOpen 2020-02-01
Series:Progress in Earth and Planetary Science
Subjects:
Climate data
Relational database
Web application
Online Access:http://link.springer.com/article/10.1186/s40645-019-0315-9

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http://link.springer.com/article/10.1186/s40645-019-0315-9

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