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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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_00030007_v97_n8_p1347_Miyoshi |
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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 |
work_keys_str_mv |
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_version_ |
1807321650219188224 |