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
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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
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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
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Volumen: | 97
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Número: | 8
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Página de inicio: | 1347
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Página de fin: | 1354
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DOI: |
http://dx.doi.org/10.1175/BAMS-D-15-00144.1 |
Título revista: | Bulletin of the American Meteorological Society
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Título revista abreviado: | Bull. Am. Meteorol. Soc.
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ISSN: | 00030007
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CODEN: | BAMIA
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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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- Ushio, T., Wu, T., Yoshida, S., Review of recent progress in lightning and thunderstorm detection techniques in Asia (2014) Atmos. Res., 154, pp. 89-102
- Yoshikawa, E., Ushio, T., Kawasaki, Z., Yoshida, S., Morimoto, T., Mizutani, F., Wada, W., MMSE beam forming on fast-scanning phased array weather radar (2013) IEEE Trans. Geosci. Remote Sens., 51, pp. 3077-3088
- 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