Big data assimilation revolutionizing severe weather prediction

"this article presents the concept of big data assimilation" (BDA) research and the first proof-of-concept results of a real high-impact weather case, exploring 30-min forecasts at 100-m grid spacing refreshed every 30 s-120 times more rapidly than hourly updated systems. This revolutionar...

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Autores principales: Miyoshi, T., Kunii, M., Ruiz, J., Lien, G.-Y., Satoh, S., Ushio, T., Bessho, K., Seko, H., Tomita, H., Ishikawa, Y.
Formato: JOUR
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_00030007_v97_n8_p1347_Miyoshi
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spelling todo:paper_00030007_v97_n8_p1347_Miyoshi2023-10-03T13:55:29Z Big data assimilation revolutionizing severe weather prediction Miyoshi, T. Kunii, M. Ruiz, J. Lien, G.-Y. Satoh, S. Ushio, T. Bessho, K. Seko, H. Tomita, H. Ishikawa, Y. Forecasting Technological forecasting Weather forecasting Data assimilation Grid-spacings High impact Numerical weather prediction Proof of concept Severe weather Technological development Big data "this article presents the concept of big data assimilation" (BDA) research and the first proof-of-concept results of a real high-impact weather case, exploring 30-min forecasts at 100-m grid spacing refreshed every 30 s-120 times more rapidly than hourly updated systems. This revolutionary numerical weather prediction (NWP) is only possible by taking advantage of the combination of Japan's most advanced technological developments. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00030007_v97_n8_p1347_Miyoshi
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Forecasting
Technological forecasting
Weather forecasting
Data assimilation
Grid-spacings
High impact
Numerical weather prediction
Proof of concept
Severe weather
Technological development
Big data
spellingShingle Forecasting
Technological forecasting
Weather forecasting
Data assimilation
Grid-spacings
High impact
Numerical weather prediction
Proof of concept
Severe weather
Technological development
Big data
Miyoshi, T.
Kunii, M.
Ruiz, J.
Lien, G.-Y.
Satoh, S.
Ushio, T.
Bessho, K.
Seko, H.
Tomita, H.
Ishikawa, Y.
Big data assimilation revolutionizing severe weather prediction
topic_facet Forecasting
Technological forecasting
Weather forecasting
Data assimilation
Grid-spacings
High impact
Numerical weather prediction
Proof of concept
Severe weather
Technological development
Big data
description "this article presents the concept of big data assimilation" (BDA) research and the first proof-of-concept results of a real high-impact weather case, exploring 30-min forecasts at 100-m grid spacing refreshed every 30 s-120 times more rapidly than hourly updated systems. This revolutionary numerical weather prediction (NWP) is only possible by taking advantage of the combination of Japan's most advanced technological developments.
format JOUR
author Miyoshi, T.
Kunii, M.
Ruiz, J.
Lien, G.-Y.
Satoh, S.
Ushio, T.
Bessho, K.
Seko, H.
Tomita, H.
Ishikawa, Y.
author_facet Miyoshi, T.
Kunii, M.
Ruiz, J.
Lien, G.-Y.
Satoh, S.
Ushio, T.
Bessho, K.
Seko, H.
Tomita, H.
Ishikawa, Y.
author_sort Miyoshi, T.
title Big data assimilation revolutionizing severe weather prediction
title_short Big data assimilation revolutionizing severe weather prediction
title_full Big data assimilation revolutionizing severe weather prediction
title_fullStr Big data assimilation revolutionizing severe weather prediction
title_full_unstemmed Big data assimilation revolutionizing severe weather prediction
title_sort big data assimilation revolutionizing severe weather prediction
url http://hdl.handle.net/20.500.12110/paper_00030007_v97_n8_p1347_Miyoshi
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