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dc.contributor.author
Miyoshi, Takemasa
dc.contributor.author
Lien, Guo-Yuan
dc.contributor.author
Satoh, Shinsuke
dc.contributor.author
Ushio, Tomoo
dc.contributor.author
Bessho, Kotaro
dc.contributor.author
Tomita, Hirofumi
dc.contributor.author
Nishizawa, Seiya
dc.contributor.author
Yoshida, Ryuji
dc.contributor.author
Adachi, Sachiho A.
dc.contributor.author
Liao, Jianwei
dc.contributor.author
Gerofi, Balazs
dc.contributor.author
Ishikawa, Yutaka
dc.contributor.author
Kunii, Masaru
dc.contributor.author
Ruiz, Juan Jose
dc.contributor.author
Maejima, Yasumitsu
dc.contributor.author
Otsuka, Shigenori
dc.contributor.author
Otsuka, Michiko
dc.contributor.author
Okamoto, Kozo
dc.contributor.author
Seko, Hiromu
dc.date.available
2018-09-19T19:33:54Z
dc.date.issued
2016-11
dc.identifier.citation
Miyoshi, Takemasa; Lien, Guo-Yuan; Satoh, Shinsuke; Ushio, Tomoo; Bessho, Kotaro; et al.; “Big Data Assimilation” Toward Post-Petascale Severe Weather Prediction: An Overview and Progress; Institute of Electrical and Electronics Engineers; Proceedings Of The Ieee; 104; 11; 11-2016; 2155-2179
dc.identifier.issn
0018-9219
dc.identifier.uri
http://hdl.handle.net/11336/60304
dc.description.abstract
Following the invention of the telegraph, electronic computer, and remote sensing, “big data” is bringing another revolution to weather prediction. As sensor and computer technologies advance, orders of magnitude bigger data are produced by new sensors and high-precision computer simulation or “big simulation.” Data assimilation (DA) is a key to numerical weather prediction (NWP) by integrating the real-world sensor data into simulation. However, the current DA and NWP systems are not designed to handle the “big data” from next-generation sensors and big simulation. Therefore, we propose “big data assimilation” (BDA) innovation to fully utilize the big data. Since October 2013, the Japan's BDA project has been exploring revolutionary NWP at 100-m mesh refreshed every 30 s, orders of magnitude finer and faster than the current typical NWP systems, by taking advantage of the fortunate combination of next-generation technologies: the 10-petaflops K computer, phased array weather radar, and geostationary satellite Himawari-8. So far, a BDA prototype system was developed and tested with real-world retrospective local rainstorm cases. This paper summarizes the activities and progress of the BDA project, and concludes with perspectives toward the post-petascale supercomputing era.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Atmospheric Mesaurements
dc.subject
Computer Applications
dc.subject
Kalman Filtering
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Optimal Control
dc.subject.classification
Meteorología y Ciencias Atmosféricas
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
“Big Data Assimilation” Toward Post-Petascale Severe Weather Prediction: An Overview and Progress
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-09-07T13:48:44Z
dc.journal.volume
104
dc.journal.number
11
dc.journal.pagination
2155-2179
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Nueva York
dc.description.fil
Fil: Miyoshi, Takemasa. RIKEN Advanced Institute for Computational Science; Japón
dc.description.fil
Fil: Lien, Guo-Yuan. RIKEN Advanced Institute for Computational Science; Japón
dc.description.fil
Fil: Satoh, Shinsuke. National Institute of Information and Communications Technology; Japón
dc.description.fil
Fil: Ushio, Tomoo. Osaka University; Japón
dc.description.fil
Fil: Bessho, Kotaro. Meteorological Satellite Center; Japón
dc.description.fil
Fil: Tomita, Hirofumi. RIKEN Advanced Institute for Computational Science; Japón
dc.description.fil
Fil: Nishizawa, Seiya. RIKEN Advanced Institute for Computational Science; Japón
dc.description.fil
Fil: Yoshida, Ryuji. RIKEN Advanced Institute for Computational Science; Japón
dc.description.fil
Fil: Adachi, Sachiho A.. RIKEN Advanced Institute for Computational Science; Japón
dc.description.fil
Fil: Liao, Jianwei. RIKEN Advanced Institute for Computational Science; Japón
dc.description.fil
Fil: Gerofi, Balazs. RIKEN Advanced Institute for Computational Science; Japón
dc.description.fil
Fil: Ishikawa, Yutaka. RIKEN Advanced Institute for Computational Science; Japón
dc.description.fil
Fil: Kunii, Masaru. RIKEN Advanced Institute for Computational Science; Japón
dc.description.fil
Fil: Ruiz, Juan Jose. RIKEN Advanced Institute for Computational Science; Japón. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Maejima, Yasumitsu. RIKEN Advanced Institute for Computational Science; Japón
dc.description.fil
Fil: Otsuka, Shigenori. RIKEN Advanced Institute for Computational Science; Japón
dc.description.fil
Fil: Otsuka, Michiko. RIKEN Advanced Institute for Computational Science; Japón
dc.description.fil
Fil: Okamoto, Kozo. RIKEN Advanced Institute for Computational Science; Japón
dc.description.fil
Fil: Seko, Hiromu. Meteorological Research Institute; Japón
dc.journal.title
Proceedings Of The Ieee
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1109/JPROC.2016.2602560
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/7576655/


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