Articles | Volume 369
https://doi.org/10.5194/piahs-369-7-2015
https://doi.org/10.5194/piahs-369-7-2015
11 Jun 2015
 | 11 Jun 2015

Downscaling medium-range ensemble forecasts using a neural network approach

M. Ohba, S. Kadokura, Y. Yoshida, D. Nohara, and Y. Toyoda

Cited articles

Gutiérrez, J. M., Cofiño, A. S., Cano, R., and Sordo, C.: Analysis and downscaling multi-model seasonal forecasts in Perú using self-organizing maps, Tellus A, 57, 435–447, 2005.
Hewitson, B. C. and Crane, R. G.: Self-organizing maps: applications to synoptic climatology, Clim. Res., 22, 13–26, 2002.
Kamiguchi, K., Arakawa, O., Kitoh, A., Yatagai, A., Hamada, A., and Yasutomi, N.: Development of APHRO_JP, the first Japanese high-resolution daily precipitation product for more than 100 years, Hydrolog. Res. Lett., 4, 60–64, 2010.
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Short summary
We present an application of self-organizing maps (SOMs) to downscaling weekly ensemble forecasts for probabilistic prediction of local precipitation. Downscaling weekly ensemble forecasts to local precipitation are conducted by using the obtained SOM lattice based on the WPs of the global model ensemble forecast. A probabilistic local precipitation is easily and quickly obtained from the ensemble forecast.