Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)
Online ISSN : 2185-467X
ISSN-L : 2185-467X
Annual Journal of Hydraulic Engineering, JSCE, Vol.63
The development of bias corrected hourly precipitation dataset for AMeDAS stations based on the projections from d4PDF
Satoshi WATANABEMiyuki NAKAMURANobuyuki UTSUMI
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2018 Volume 74 Issue 5 Pages I_127-I_132

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Abstract

 A bias correction method that is appropriate for an huge ensemble dataset has been developed. The method was applied to the d4PDF, and validated usting AMeDAS dataset. The result indicates that the developed method has better reproducibility than previous methods. Especially the overestimation by the previous method is sucuesufully removed. The biascorrected dataset in the cathment scale shows it can reproduce historical extremes that is estimated using extreme value theory with small differences.

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© 2018 Japan Society of Civil Engineers
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