Artículo

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" (2016) Bulletin of the American Meteorological Society. 97(8):1347-1354
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Abstract:

"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.

Registro:

Documento: Artículo
Título:Big data assimilation revolutionizing severe weather prediction
Autor:Miyoshi, T.; Kunii, M.; Ruiz, J.; Lien, G.-Y.; Satoh, S.; Ushio, T.; Bessho, K.; Seko, H.; Tomita, H.; Ishikawa, Y.
Filiación:RIKEN Advanced Institute for Computational Science, 7-1-26 Minatojima-minami-machi, Chuo-ku, Kobe, 650-0047, Japan
Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, United States
Application Laboratory, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
RIKEN Advanced Institute for Computational Science, Kobe, Japan
Meteorological Research Institute, Tsukuba, Japan
CIMA, CONICET-University of Buenos Aires, Buenos Aires, Argentina
National Institute of Information and Communications Technology, Koganei, Japan
Osaka University, Suita, Japan
Meteorological Satellite Center, Kiyose, Japan
Palabras clave:Forecasting; Technological forecasting; Weather forecasting; Data assimilation; Grid-spacings; High impact; Numerical weather prediction; Proof of concept; Severe weather; Technological development; Big data
Año:2016
Volumen:97
Número:8
Página de inicio:1347
Página de fin:1354
DOI: http://dx.doi.org/10.1175/BAMS-D-15-00144.1
Título revista:Bulletin of the American Meteorological Society
Título revista abreviado:Bull. Am. Meteorol. Soc.
ISSN:00030007
CODEN:BAMIA
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00030007_v97_n8_p1347_Miyoshi

Referencias:

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  • Stensrud, D.J., Progress and challenges with warn-on-forecast (2013) Atmos. Res., 123, pp. 2-16
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  • Yussouf, N., Mansell, E.R., Wicker, L.J., Wheatley, D.M., Stensrud, D.J., The ensemble Kalman filter analyses and forecasts of the 8 May 2003 Oklahoma City tornadic supercell storm using single-and double-moment microphysics schemes (2013) Mon. Wea. Rev., 141, pp. 3388-3412

Citas:

---------- APA ----------
Miyoshi, T., Kunii, M., Ruiz, J., Lien, G.-Y., Satoh, S., Ushio, T., Bessho, K.,..., Ishikawa, Y. (2016) . Big data assimilation revolutionizing severe weather prediction. Bulletin of the American Meteorological Society, 97(8), 1347-1354.
http://dx.doi.org/10.1175/BAMS-D-15-00144.1
---------- CHICAGO ----------
Miyoshi, T., Kunii, M., Ruiz, J., Lien, G.-Y., Satoh, S., Ushio, T., et al. "Big data assimilation revolutionizing severe weather prediction" . Bulletin of the American Meteorological Society 97, no. 8 (2016) : 1347-1354.
http://dx.doi.org/10.1175/BAMS-D-15-00144.1
---------- MLA ----------
Miyoshi, T., Kunii, M., Ruiz, J., Lien, G.-Y., Satoh, S., Ushio, T., et al. "Big data assimilation revolutionizing severe weather prediction" . Bulletin of the American Meteorological Society, vol. 97, no. 8, 2016, pp. 1347-1354.
http://dx.doi.org/10.1175/BAMS-D-15-00144.1
---------- VANCOUVER ----------
Miyoshi, T., Kunii, M., Ruiz, J., Lien, G.-Y., Satoh, S., Ushio, T., et al. Big data assimilation revolutionizing severe weather prediction. Bull. Am. Meteorol. Soc. 2016;97(8):1347-1354.
http://dx.doi.org/10.1175/BAMS-D-15-00144.1