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＜departmental bulletin paper＞
Rainfall Estimation in the Chikugo River Basin by Atmospheric Downscaling Using Artificial Neural Networks

Creator
Creator Name
Ishikawa, Izumi
Affiliation
Affiliation Name
Department of Urban and Environmental Engireering : Graduate Student
Creator Name
Olsson, Jonas
Affiliation
Affiliation Name
Swedish Meteorological and Hydrological Institute : Researcher
Author PID
K001166
Creator Name
Jinno, Kenji
Affiliation
Affiliation Name
Institute of Environmental Systems : Professor
Author PID
K001257
Creator Name
Kawamura, Akira
Affiliation
Affiliation Name
Institute of Environmental Systems : Associate Professor
Author PID
K001339
Creator Name
Nishiyama, Koji
Affiliation
Affiliation Name
Institute of Environmental Systems : Research Associate
Creator Name
Berndtsson, Ronny
Affiliation
Affiliation Name
Department of Water Resources Engineering : Lund University : Professor
Language
English
Publisher
九州大学大学院工学研究院
Faculty of Engineering, Kyushu University
Date
2002-06-26
Source Title
Memoirs of the Faculty of Engineering, Kyushu University
Vol
62
Issue
2
First Page
85
Last Page
95
Publication Type
Version of Record
Access Rights
open access
Related DOI
Memoirs of the Faculty of Engineering, Kyushu University || 62(2) || p85-95
九州大学工学紀要 || 62(2) || p85-95
http://kenkyo.eng.kyushu-u.ac.jp/memoirs-eng/top.php
Related URI
Memoirs of the Faculty of Engineering, Kyushu University || 62(2) || p85-95
九州大学工学紀要 || 62(2) || p85-95
http://kenkyo.eng.kyushu-u.ac.jp/memoirs-eng/top.php
Relation
Memoirs of the Faculty of Engineering, Kyushu University || 62(2) || p85-95
九州大学工学紀要 || 62(2) || p85-95
http://kenkyo.eng.kyushu-u.ac.jp/memoirs-eng/top.php
Abstract For the proper water resources management of the Chikugo River basin, the prediction of both drought and heavy rainfall needs to be carried out by the conventional and engineering method which can be ...useful to for the practitioners who work on the water rshow more

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Details

Record ID
1113
Peer-Reviewed
Refereed
Subject Terms
Atmospheric downscaling
GPV data
precipitable water
wind speeds
Artificial neural network
correlation analysis
ISSN
1345-868X
NCID
AA11481788
Type
紀要論文
Created Date 2009.04.22
Modified Date 2015.11.06

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