STATISTICAL DOWNSCALING OF PRECIPITATION WITH A FORMATTED REGRESSION FRAME
Author:
Affiliation:
1. Graduate School of Eng., Kyoto University
2. Disaster Prevention Research Institute, Kyoto University
3. Central Japan Railway Company
Publisher
Japan Society of Civil Engineers
Reference13 articles.
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3. 3) Taylor, K.E., R.J. Stouffer, G.A. Meehl: An Overview of CMIP5 and the experiment design, Bulletin of the American Meteorological Society, Vol. 93, pp. 485-498, doi:10.1175/ BAMS-D-11-00094.1, 2012.
4. 4) Kitoh, A., Ose, T., Kurihara, K., Kusunoki, S., Sugi M. and KAKUSHIN Team-3 Modeling Group: Projection of changes in future weather extremes using super-high- resolution global and regional atmospheric models in the KAKUSHIN Program: Results of preliminary experiments, Hydrological Research Letters, Vol. 3, pp.49-53, 2009.
5. 5) Kusunoki, S., Mizuta, R. and Matsueda, M.: Future changes in the East Asian rain band projected by global atmospheric models with 20-km and 60-km grid size, Climate Dynamics, doi:10.1007/s00382-011-1000x, 2011.
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1. Statistical Downscaling of AGCM60km Precipitation based on Spatial Correlation of AGCM20km Output;Hydrological Research Letters;2017
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