「ビッグデータ同化」でゲリラ豪雨に挑む

三好 建正

doi:10.11545/ciqs.2014.0_S2

37th Symposium on Chemical Information and Computer Sciences, Toyohashi

DOI https://doi.org/10.11545/ciqs.2014.0_S2

Conference information

Host: Division of Chemical Information and Computer Science, The Chemical Society of Japan

Co-host: The Pharmaceutical Society of Japan, Japan Society for Bioscience, Biotechnology, and Agrochemistry, The Japan Society for Analytical Chemistry, Society of Computer Chemistry, Japan, Japanese Society for Information and Systems in Education (Approaval)

Special Lecture

Predicting Sudden Severe Rainstorms with "Big Data Assimilation"

*Takemasa Miyoshi

Author information

Keywords: data assimilation, big data, weather prediction, sudden severe rainstorm

CONFERENCE PROCEEDINGS FREE ACCESS

Pages S2

Details

Abstract

Data assimilation is an interdisciplinary science to connect numerical simulations and real-world data and plays a central role in numerical weather prediction. Both simulations and sensor technologies keep advancing, and data assimilation deals with these large-volume and high-velocity "Big Data". Real-time processing of Big Data from high-precision simulations representing individual clouds and the new phased array weather radar data that capture rapidly-changing dynamic weather every 30 seconds is a real challenge. The revolutionary "Big Data Assimilation" technology aims to predict precisely where, when, and how intense rainstorms will occur.

Corresponding author

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