PROCEEDINGS OF HYDRAULIC ENGINEERING
Online ISSN : 1884-9172
Print ISSN : 0916-7374
ISSN-L : 0916-7374
Short-term Rainfall Prediction Method Using a Volume Scanning Radar and GPV data
Eiichi NAKAKITASoichiro SUGIMOTOShuichi IKEBUCHITetsuya NAKAMURAMasahiro OKUDAAkihiko YAMAJITakuma TAKASAO
Author information
JOURNAL FREE ACCESS

1996 Volume 40 Pages 303-308

Details
Abstract

A physically-based short-term rainfall prediction method, which uses a volume scanning radar, is extended so that it utilizes grid point values from a numerical weather prediction, namely GPV data, as supplementary information. It is noted that this extended method does not use predicted GPV rainfall data The conceptual rainfall model in the prediction method plays the role of bridging a gap between radar information and the numerical-weather prediction. This extended method is applied to a rainfall event which occurred in the Baiu season, in July of 1994. Results shows that for extended lead time of three and four hours, the prediction of expanding rainfall area was greatly improved.

Content from these authors
© by Japan Society of Civil Engineers
Previous article Next article
feedback
Top