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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Detalles Bibliográficos
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
Materias:
Forecasting
Technological forecasting
Weather forecasting
Data assimilation
Grid-spacings
High impact
Numerical weather prediction
Proof of concept
Severe weather
Technological development
Big data
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_00030007_v97_n8_p1347_Miyoshi
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
Descripción
Sumario:"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.

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