Big Data Assimilation: Real-time 30-second-refresh Heavy Rain Forecast Using Fugaku During Tokyo Olympics and Paralympics-Reference-Cited by-同舟云学术

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Big Data Assimilation: Real-time 30-second-refresh Heavy Rain Forecast Using Fugaku During Tokyo Olympics and Paralympics

Published:2023-11-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
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Author:

Miyoshi Takemasa¹^ORCID,Amemiya Arata¹^ORCID,Otsuka Shigenori¹^ORCID,Maejima Yasumitsu¹^ORCID,Taylor James¹^ORCID,Honda Takumi¹²^ORCID,Tomita Hirofumi¹^ORCID,Nishizawa Seiya¹^ORCID,Sueki Kenta¹³^ORCID,Yamaura Tsuyoshi¹^ORCID,Ishikawa Yutaka⁴^ORCID,Satoh Shinsuke⁵^ORCID,Ushio Tomoo⁶^ORCID,Koike Kana⁷^ORCID,Uno Atsuya¹⁸^ORCID

Affiliation:

1. Riken, Kobe, Japan

2. Hokkaido University, Sapporo, Japan

3. Meteorological Research Institute, Tsukuba, Japan

4. National Institute of Informatics, Tokyo, Japan

5. National Institute for Information and Communications Technology, Koganei, Japan

6. Osaka University, Suita, Japan

7. MTI Ltd., Tokyo, Japan

8. National Research Institute for Earth Science and Disaster Resilience, Tsukuba, Japan

Funder

Japan Science and Technology Agency

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581784.3627047

Reference43 articles.

1. MMSE Beam Forming on Fast-Scanning Phased Array Weather Radar

2. Review of recent progress in lightning and thunderstorm detection techniques in Asia

3. Fast-Scanning Phased-Array Weather Radar With Angular Imaging Technique

4. “Big Data Assimilation” Revolutionizing Severe Weather Prediction

5. “Big Data Assimilation” Toward Post-Petascale Severe Weather Prediction: An Overview and Progress

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